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		<title>科研进展 - 版本历史</title>
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		<updated>2026-05-07T16:32:40Z</updated>
		<subtitle>本wiki的该页面的版本历史</subtitle>
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		<title>2026年1月21日 (三) 13:26 Iip1314</title>
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				<updated>2026-01-21T13:26:42Z</updated>
		
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&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2026年1月21日 (三) 13:26的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;= '''&amp;lt;span style=&amp;quot;color:#800000&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:smaller&amp;quot;&amp;gt;研究成果&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' =&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;= '''&amp;lt;span style=&amp;quot;color:#800000&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:smaller&amp;quot;&amp;gt;研究成果&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' =&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l7&quot; &gt;第7行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第8行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2026&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2025, 194: 108125.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Ming Guo, Feng Chen, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang. Multi‑round Q&amp;amp;A Hallucination Analysis of LLMs in Geographical Education [C] In '''''Proceedin'''gs '''of International Conference on Intelligent Computing''''', 2025.&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang. Multi‑round Q&amp;amp;A Hallucination Analysis of LLMs in Geographical Education [C] In '''''Proceedin'''gs '''of International Conference on Intelligent Computing''''', 2025.&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Yiqun Niu, Zhongheng Wu, and Chongjun Wang. Memory-Enhanced Cognitive Planning: A Framework for Improving Long-Term Planning in LLMs[C]. In &amp;amp;nbsp;'''''Proceedings of International Conference on Intelligent Computing''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Yiqun Niu, Zhongheng Wu, and Chongjun Wang. Memory-Enhanced Cognitive Planning: A Framework for Improving Long-Term Planning in LLMs[C]. In &amp;amp;nbsp;'''''Proceedings of International Conference on Intelligent Computing''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Ming Guo&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Feng Chen&lt;/del&gt;, Chongjun Wang&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;. Temporal spatial semantic fusion network &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;audio-visual zero-shot &lt;/del&gt;learning [J]. '''''Intelligent Data Analysis''''', 2025&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;.&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Mingcai Chen, Yuntao Du, Wei Tang&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Baoming Zhang&lt;/ins&gt;, Chongjun Wang&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;: LaplaceConfidence: A graph-based approach &lt;/ins&gt;for learning &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;with noisy labels&lt;/ins&gt;[J]. '''''Intelligent Data Analysis'''''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;. 2025, 29(1): 45-58&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yinuo Chen, Jie Guo, Chongjun Wang, Yanwen Guo&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Wenping Wang: Parameterize Structure With Differentiable Template for 3D Shape Generation[J]. '''''IEEE Trans. Vis. Comput. Graph'''''. &lt;/ins&gt;2025&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, 31(10): 8915-8927&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Ming Guo, Feng Chen, Chongjun Wang. Unified multi-modal aggregated-masked diffusion network for MRI synthesis with modality missing [C]. In '''''Proceedings of International Conference on Neural Information Processing''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Ming Guo, Feng Chen, Chongjun Wang. Unified multi-modal aggregated-masked diffusion network for MRI synthesis with modality missing [C]. In '''''Proceedings of International Conference on Neural Information Processing''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2025, 194: 108125.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Qiangqiang He, Shuwei Qian, Chongjun Wang. FastVDT: fast transformer with optimized attention masks and positional encoding for visual dialogue [J]. '''''IET Computer Vision''''', 2025, 19(1).&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Qiangqiang He, Shuwei Qian, Chongjun Wang. FastVDT: fast transformer with optimized attention masks and positional encoding for visual dialogue [J]. '''''IET Computer Vision''''', 2025, 19(1).&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang. Towards emotional insights in art: a knowledge-driven framework integrating artistic emotion knowledge into vision language models [C]. In '''''Proceedings of International Joint Conference on Neural Networks''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang. Towards emotional insights in art: a knowledge-driven framework integrating artistic emotion knowledge into vision language models [C]. In '''''Proceedings of International Joint Conference on Neural Networks''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2088&amp;oldid=prev</id>
		<title>2025年12月31日 (三) 07:03 Iip1314</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2088&amp;oldid=prev"/>
				<updated>2025-12-31T07:03:24Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年12月31日 (三) 07:03的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;= '''&amp;lt;span style=&amp;quot;color:#800000&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:smaller&amp;quot;&amp;gt;研究成果&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' =&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;= '''&amp;lt;span style=&amp;quot;color:#800000&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:smaller&amp;quot;&amp;gt;研究成果&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' =&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2087&amp;oldid=prev</id>
		<title>2025年12月31日 (三) 07:03 Iip1314</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2087&amp;oldid=prev"/>
				<updated>2025-12-31T07:03:05Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class='diff-marker' /&gt;
				&lt;col class='diff-content' /&gt;
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				&lt;tr style='vertical-align: top;' lang='zh-CN'&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年12月31日 (三) 07:03的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l13&quot; &gt;第13行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第14行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-size: medium; font-family: &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;quot; times=&amp;quot;&amp;quot; new=&amp;quot;&amp;quot; roman&amp;quot;&lt;/del&gt;,&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;=&amp;quot;&amp;quot; times&lt;/del&gt;,&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;=&amp;quot;&amp;quot; &lt;/del&gt;serif;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;quot;=&amp;quot;&lt;/del&gt;&amp;quot;&amp;gt;Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang. Multi‑round Q&amp;amp;A Hallucination Analysis of LLMs in Geographical Education [C] In &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;/span&amp;gt;&lt;/del&gt;'''''Proceedin'''gs '''of International Conference on Intelligent Computing'''''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;span style=&amp;quot;font-size: medium; font-family: &amp;quot; times=&amp;quot;&amp;quot; new=&amp;quot;&amp;quot; roman&amp;quot;,=&amp;quot;&amp;quot; times,=&amp;quot;&amp;quot; serif;&amp;quot;=&amp;quot;&amp;quot;&amp;gt;&lt;/del&gt;, 2025.&amp;amp;nbsp;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-size:medium;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;&lt;/ins&gt;font-family:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Times New Roman&lt;/ins&gt;,&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Times&lt;/ins&gt;,serif;&amp;quot;&amp;gt;Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang. Multi‑round Q&amp;amp;A Hallucination Analysis of LLMs in Geographical Education [C] In '''''Proceedin'''gs '''of International Conference on Intelligent Computing''''', 2025.&amp;amp;nbsp;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;/span&amp;gt;&lt;/ins&gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Yiqun Niu, Zhongheng Wu, and Chongjun Wang. Memory-Enhanced Cognitive Planning: A Framework for Improving Long-Term Planning in LLMs[C]. In &amp;amp;nbsp;'''''Proceedings of International Conference on Intelligent Computing''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Yiqun Niu, Zhongheng Wu, and Chongjun Wang. Memory-Enhanced Cognitive Planning: A Framework for Improving Long-Term Planning in LLMs[C]. In &amp;amp;nbsp;'''''Proceedings of International Conference on Intelligent Computing''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Ming Guo, Feng Chen, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Ming Guo, Feng Chen, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', 2025.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2086&amp;oldid=prev</id>
		<title>2025年12月31日 (三) 07:02 Iip1314</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2086&amp;oldid=prev"/>
				<updated>2025-12-31T07:02:11Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年12月31日 (三) 07:02的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l12&quot; &gt;第12行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第13行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;QIangqiang He&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Shuwei Qian&lt;/del&gt;, Chongjun Wang.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;FastVDT&lt;/del&gt;: &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Fast Transformer with Optimized Attention Masks and Positional Encoding &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Visual Dialogue&lt;/del&gt;[&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;J&lt;/del&gt;].&amp;amp;nbsp;'''''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;IET Computer Vision&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;#&amp;lt;span style=&amp;quot;font-size: medium; font-family: &amp;quot; times=&amp;quot;&amp;quot; new=&amp;quot;&amp;quot; roman&amp;quot;,=&amp;quot;&amp;quot; times,=&amp;quot;&amp;quot; serif;&amp;quot;=&amp;quot;&amp;quot;&amp;gt;Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang. Multi‑round Q&amp;amp;A Hallucination Analysis of LLMs in Geographical Education [C] In &amp;lt;/span&amp;gt;'''''Proceedin'''gs '''of International Conference on Intelligent Computing'''''&amp;lt;span style=&amp;quot;font-size: medium; font-family: &amp;quot; times=&amp;quot;&amp;quot; new=&amp;quot;&amp;quot; roman&amp;quot;,=&amp;quot;&amp;quot; times,=&amp;quot;&amp;quot; serif;&amp;quot;=&amp;quot;&amp;quot;&amp;gt;, 2025.&amp;amp;nbsp;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Haoyang &lt;/del&gt;Chen &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;and etc&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp&lt;/del&gt;;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Towards Emotional Insights in Art&lt;/del&gt;: &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;A Knowledge&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;In&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;'''''Proceedings of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;IJCNN 2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Yiqun Niu&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Zhongheng Wu&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;and &lt;/ins&gt;Chongjun Wang. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Memory-Enhanced Cognitive Planning&lt;/ins&gt;: &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;A Framework &lt;/ins&gt;for &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Improving Long-Term Planning in LLMs&lt;/ins&gt;[&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;C&lt;/ins&gt;]. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;In &lt;/ins&gt;&amp;amp;nbsp;'''''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of International Conference on Intelligent Computing&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Changhong Xia and etc&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;step&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Aware Confidence Estimation in Natural Language Reasoning&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;In&amp;amp;nbsp;&lt;/del&gt;'''''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of IJCNN 2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Ming Guo, Feng &lt;/ins&gt;Chen&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', 2025&lt;/ins&gt;.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuwei Qian &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;and etc&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;TIMM&lt;/del&gt;: &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;A Type-Induced Missing-aware Mixture-of-Experts Model &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Imputing Missing Modalities &lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;In&amp;amp;nbsp;&lt;/del&gt;'''''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of IJCNN 2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&lt;/ins&gt;;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size&lt;/ins&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;medium;&amp;quot;&amp;gt;Ming Guo, Feng Chen, Chongjun Wang. Unified multi-modal aggregated&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;masked diffusion network for MRI synthesis with modality missing [C]&lt;/ins&gt;. In '''''Proceedings of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;International Conference on Neural Information Processing&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Shuangjie Li&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;etc&lt;/del&gt;. &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Graph Neural Networks with Coarse&lt;/del&gt;- &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems&lt;/del&gt;. '''''Neural Networks'''''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;[J]&lt;/del&gt;,&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;TGSL: trade&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;off graph structure learning via multifaceted graph information bottleneck [J]&lt;/ins&gt;. '''''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Neural Networks&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025, 194: 108125.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Changfeng Ma&lt;/del&gt;,&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Ran Bi&lt;/del&gt;,&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Jie Guo&lt;/del&gt;,&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;Chongjun Wang&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;,&amp;amp;nbsp;Yanwen Guo&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;In&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;'''''Proceedings of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;CVPR&amp;amp;nbsp;2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Qiangqiang He, &lt;/ins&gt;Shuwei Qian&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, Chongjun Wang&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;FastVDT&lt;/ins&gt;: &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;fast transformer with optimized attention masks and positional encoding &lt;/ins&gt;for &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;visual dialogue [J]&lt;/ins&gt;. '''''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;IET Computer Vision&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025, 19(1).&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Jie Zhang&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Yirong Yao&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Wei &lt;/del&gt;He&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;, Yiqun Niu&lt;/del&gt;, Chongjun Wang. &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Regret Optimization Experience Replay in Off&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;policy Reinforcement Learning&lt;/del&gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;In&amp;amp;nbsp;&lt;/del&gt;'''''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of ICASSP 2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Chongjun Wang&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Towards emotional insights in art: a knowledge&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;driven framework integrating artistic emotion knowledge into vision language models [C]&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;In &lt;/ins&gt;'''''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of International Joint Conference on &lt;/ins&gt;Neural Networks''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;QIang Qiang He&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Shu Wei Qian&lt;/del&gt;, Jie &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Zhang&lt;/del&gt;, Chongjun Wang.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Inference Retrieval-Augmented Multi-Modal Chain-&lt;/del&gt;of&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;-Thoughts Reasoning for Language Models&lt;/del&gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;In&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;'''''Proceedings of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;ICASSP 2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Changhong Xia, Zhendong Liu&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Feng Chen&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Haodi Zhou&lt;/ins&gt;, Chongjun Wang. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Step-aware confidence estimation in natural language reasoning [C]&lt;/ins&gt;. In '''''Proceedings of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;International Joint Conference on Neural Networks&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Haoyang Chen&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Yi Xin&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;etc&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;KNOWLEDGE IS POWERFUL: ART KNOWLEDGE&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;DRIVEN FRAMEWORK FOR PAINTING STYLE CLASSIFICATION INTEGRATING MULTIMODAL KNOWLEDGE&lt;/del&gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;In&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;'''''Proceedings of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;ICASSP 2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Shuwei Qian&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Zhicheng Fan&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Qiangqiang &lt;/ins&gt;He, Chongjun Wang. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;TIMM: a type-induced missing-aware mixture-of&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;experts model for imputing missing modalities [C]. In Proceedings of International Joint Conference on '''''Neural Networks''''', 2025&lt;/ins&gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Baoming Zhang, MingCai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang. Normalize then &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Propagate&lt;/del&gt;: &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Efficient Homophilous Regularization &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Few&lt;/del&gt;-shot &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Semi&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Supervised Node Classification&lt;/del&gt;. In&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;'''''Proceedings of AAAI &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;#&lt;/ins&gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. Graph neural networks with coarse- and fine-grained division for mitigating label noise and sparsity [J]. &lt;/ins&gt;'''''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Neural Networks&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025, 187: 107338.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;size&lt;/del&gt;:&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;medium&lt;/del&gt;;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;family&lt;/del&gt;:&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Times New Roman,Times,serif&lt;/del&gt;;&amp;quot;&amp;gt;MingCai Chen, Yuntao Du&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;.&lt;/del&gt;, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang. Robust &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Logit Adjustment &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Learning &lt;/del&gt;with &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Long&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Tailed Noisy Data&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;size&lt;/del&gt;:&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;medium&lt;/del&gt;;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;family&lt;/del&gt;:&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Times New Roman,Times,serif&lt;/del&gt;;&amp;quot;&amp;gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;In&amp;amp;nbsp;&lt;/del&gt;'''''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of AAAI 2025&lt;/del&gt;''''',&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Changfeng Ma&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Ran Bi&lt;/ins&gt;, Jie &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Guo&lt;/ins&gt;, Chongjun Wang&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, Yanwen Guo. Sparse point cloud patches rendering via splitting 2D gaussians [C]&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;In '''''Proceedings &lt;/ins&gt;of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;the IEEE/CVF Conference on Computer Vision and Pattern Recognition''''', 2025&lt;/ins&gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Yuntao Du, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Siqi Luo&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;yi Xin&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;MingCai Chen, Shuai Feng, Mujie Zhang&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Chongjun Wang&lt;/del&gt;. &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Multi&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;source Fully Test&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Time Adaptation&lt;/del&gt;[J]. '''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Neural Networks&lt;/del&gt;''', 2025&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;(181)&lt;/del&gt;: &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;106661&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;#&lt;/ins&gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Jie Zhang, Yirong Yao, Wei He, Yiqun Niu, Chongjun Wang. Regret optimization experience replay in off-policy reinforcement learning [C]. &lt;/ins&gt;In '''''Proceedings of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;IEEE International Conference on Acoustics, Speech and Signal Processing&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Qiangqiang He, Shuwei Qian&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Jie Zhang&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Chongjun Wang&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Inference retrieval-augmented multi-modal chain-of&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;thoughts reasoning for language models [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025&lt;/ins&gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;#&lt;/ins&gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang. Knowledge is powerful: art knowledge-driven framework for painting style classification integrating multimodal knowledge [C]. &lt;/ins&gt;In '''''Proceedings of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;IEEE International Conference on Acoustics, Speech and Signal Processing&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Baoming Zhang, MingCai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang. Normalize then &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;propagate&lt;/ins&gt;: &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;efficient homophilous regularization &lt;/ins&gt;for &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;few&lt;/ins&gt;-shot &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;semi&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;supervised node classification [C]&lt;/ins&gt;. In '''''Proceedings of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;the &lt;/ins&gt;AAAI &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Conference on Artificial Intelligence&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025, 39(12).&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;family&lt;/ins&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Times New Roman,Times,serif&lt;/ins&gt;;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;size&lt;/ins&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;medium&lt;/ins&gt;;&amp;quot;&amp;gt;MingCai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang. Robust &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;logit adjustment &lt;/ins&gt;for &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;learning &lt;/ins&gt;with &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;long&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;tailed noisy data [C]. In '''''Proceedings of the AAAI Conference on Artificial Intelligence''''', 2025, 39(15).&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;#&lt;/ins&gt;&amp;lt;span style=&amp;quot;font-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;family&lt;/ins&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Times New Roman,Times,serif&lt;/ins&gt;;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;size&lt;/ins&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;medium&lt;/ins&gt;;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Yuntao Du, Siqi Luo, Yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang. Multi-source fully test-time adaptation [J]. '''Neural Networks''', 2025, 181: 106661&lt;/ins&gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;#&lt;/ins&gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Hengyang Lu, Longkang Lin, Chenyou Fan, Chongjun Wang, Wei Fang, Xiaojun Wu. Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives[J]. &lt;/ins&gt;'''''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Knowledge-Based Systems&lt;/ins&gt;''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2025, 310:113009.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Hengyang Lu, Jia-ming Zhang, &lt;/ins&gt;Yuntao Du, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Chang Xia&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Chongjun Wang&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Wei Fang&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Xiaojun Wu&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Enhancing few-shot out&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;of&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;distribution intent detection by reducing attention misallocation&lt;/ins&gt;[J]. '''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;''Neurocomputing''&lt;/ins&gt;''', 2025&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, 626&lt;/ins&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;129554.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2024&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2024&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Song J., etc. Similarity-Navigated Conformal Prediction for Graph Neural Networks. In&amp;amp;nbsp;'''''Proceedings of NIPS 2024''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Song J., etc. Similarity-Navigated Conformal Prediction for Graph Neural Networks. In&amp;amp;nbsp;'''''Proceedings of NIPS 2024''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2026&amp;oldid=prev</id>
		<title>2025年4月8日 (二) 09:24 Iip1314</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2026&amp;oldid=prev"/>
				<updated>2025-04-08T09:24:04Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年4月8日 (二) 09:24的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l11&quot; &gt;第11行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第12行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;QIangqiang He, Shuwei Qian, Chongjun Wang.&amp;amp;nbsp;FastVDT: Fast Transformer with Optimized Attention Masks and Positional Encoding for Visual Dialogue[J].&amp;amp;nbsp;'''''IET Computer Vision''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Haoyang Chen and etc.&amp;amp;nbsp;Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of IJCNN 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Haoyang Chen and etc.&amp;amp;nbsp;Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of IJCNN 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changhong Xia and etc.&amp;amp;nbsp;step-Aware Confidence Estimation in Natural Language Reasoning.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of IJCNN 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changhong Xia and etc.&amp;amp;nbsp;step-Aware Confidence Estimation in Natural Language Reasoning.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of IJCNN 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2025&amp;oldid=prev</id>
		<title>2025年4月1日 (二) 07:28 Iip1314</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2025&amp;oldid=prev"/>
				<updated>2025-04-01T07:28:35Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年4月1日 (二) 07:28的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l10&quot; &gt;第10行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第11行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Haoyang Chen and etc.&amp;amp;nbsp;Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of IJCNN 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changhong Xia and etc.&amp;amp;nbsp;step-Aware Confidence Estimation in Natural Language Reasoning.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of IJCNN 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuwei Qian and etc.&amp;amp;nbsp;TIMM: A Type-Induced Missing-aware Mixture-of-Experts Model for Imputing Missing Modalities .&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of IJCNN 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. '''''Neural Networks'''''[J],&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. '''''Neural Networks'''''[J],&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changfeng Ma,&amp;amp;nbsp;Ran Bi,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;Chongjun Wang,&amp;amp;nbsp;Yanwen Guo.&amp;amp;nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of CVPR&amp;amp;nbsp;2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changfeng Ma,&amp;amp;nbsp;Ran Bi,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;Chongjun Wang,&amp;amp;nbsp;Yanwen Guo.&amp;amp;nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of CVPR&amp;amp;nbsp;2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:2011:newid:2025 --&gt;
&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2011&amp;oldid=prev</id>
		<title>2025年3月1日 (六) 01:12 Iip1314</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2011&amp;oldid=prev"/>
				<updated>2025-03-01T01:12:46Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年3月1日 (六) 01:12的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l9&quot; &gt;第9行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第10行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. Neural Networks[J],&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''''&lt;/ins&gt;Neural Networks&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''''&lt;/ins&gt;[J],&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changfeng Ma,&amp;amp;nbsp;Ran Bi,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;Chongjun Wang,&amp;amp;nbsp;Yanwen Guo.&amp;amp;nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of CVPR&amp;amp;nbsp;2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changfeng Ma,&amp;amp;nbsp;Ran Bi,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;Chongjun Wang,&amp;amp;nbsp;Yanwen Guo.&amp;amp;nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of CVPR&amp;amp;nbsp;2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Jie Zhang, Yirong Yao, &amp;amp;nbsp;Wei He, Yiqun Niu, Chongjun Wang. Regret Optimization Experience Replay in Off-policy Reinforcement Learning.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of ICASSP 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Jie Zhang, Yirong Yao, &amp;amp;nbsp;Wei He, Yiqun Niu, Chongjun Wang. Regret Optimization Experience Replay in Off-policy Reinforcement Learning.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of ICASSP 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2010&amp;oldid=prev</id>
		<title>2025年3月1日 (六) 01:12 Iip1314</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2010&amp;oldid=prev"/>
				<updated>2025-03-01T01:12:20Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年3月1日 (六) 01:12的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;= '''&amp;lt;span style=&amp;quot;color:#800000&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:smaller&amp;quot;&amp;gt;研究成果&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' =&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;= '''&amp;lt;span style=&amp;quot;color:#800000&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:smaller&amp;quot;&amp;gt;研究成果&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' =&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l8&quot; &gt;第8行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第9行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. Neural Networks[J],&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changfeng Ma,&amp;amp;nbsp;Ran Bi,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;Chongjun Wang,&amp;amp;nbsp;Yanwen Guo.&amp;amp;nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of CVPR&amp;amp;nbsp;2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changfeng Ma,&amp;amp;nbsp;Ran Bi,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;Chongjun Wang,&amp;amp;nbsp;Yanwen Guo.&amp;amp;nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of CVPR&amp;amp;nbsp;2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Jie Zhang, Yirong Yao, &amp;amp;nbsp;Wei He, Yiqun Niu, Chongjun Wang. Regret Optimization Experience Replay in Off-policy Reinforcement Learning.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of ICASSP 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Jie Zhang, Yirong Yao, &amp;amp;nbsp;Wei He, Yiqun Niu, Chongjun Wang. Regret Optimization Experience Replay in Off-policy Reinforcement Learning.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of ICASSP 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2009&amp;oldid=prev</id>
		<title>2025年2月27日 (四) 00:38 Iip1314</title>
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				<updated>2025-02-27T00:38:55Z</updated>
		
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				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年2月27日 (四) 00:38的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l8&quot; &gt;第8行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第8行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;'''&amp;lt;span style=&amp;quot;font-family:微软雅黑; font-size:medium&amp;quot;&amp;gt;Selected Paper&amp;lt;/span&amp;gt;'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;p style=&amp;quot;text-align:center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;2025&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Changfeng Ma,&amp;amp;nbsp;Ran Bi,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;Chongjun Wang,&amp;amp;nbsp;Yanwen Guo.&amp;amp;nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians.&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of CVPR&amp;amp;nbsp;2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Jie Zhang, Yirong Yao, &amp;amp;nbsp;Wei He, Yiqun Niu, Chongjun Wang. Regret Optimization Experience Replay in Off-policy Reinforcement Learning.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of ICASSP 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Jie Zhang, Yirong Yao, &amp;amp;nbsp;Wei He, Yiqun Niu, Chongjun Wang. Regret Optimization Experience Replay in Off-policy Reinforcement Learning.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;amp;nbsp;In&amp;amp;nbsp;'''''Proceedings of ICASSP 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;QIang Qiang He, Shu Wei Qian, Jie Zhang, Chongjun Wang.&amp;amp;nbsp;Inference Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Language Models.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;amp;nbsp;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;In&amp;amp;nbsp;'''''Proceedings of ICASSP 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;#&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;QIang Qiang He, Shu Wei Qian, Jie Zhang, Chongjun Wang.&amp;amp;nbsp;Inference Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Language Models.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;amp;nbsp;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;In&amp;amp;nbsp;'''''Proceedings of ICASSP 2025''''',&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2002&amp;oldid=prev</id>
		<title>2025年1月21日 (二) 01:38 Iip1314</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2002&amp;oldid=prev"/>
				<updated>2025-01-21T01:38:31Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class='diff-marker' /&gt;
				&lt;col class='diff-content' /&gt;
				&lt;col class='diff-marker' /&gt;
				&lt;col class='diff-content' /&gt;
				&lt;tr style='vertical-align: top;' lang='zh-CN'&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan='2' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;2025年1月21日 (二) 01:38的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;第1行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第1行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;= '''&amp;lt;span style=&amp;quot;color:#800000&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:smaller&amp;quot;&amp;gt;研究成果&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' =&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;= '''&amp;lt;span style=&amp;quot;color:#800000&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:smaller&amp;quot;&amp;gt;研究成果&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' =&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Iip1314</name></author>	</entry>

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