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		<id>http://iip.nju.edu.cn/index.php?action=history&amp;feed=atom&amp;title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95</id>
		<title>科研进展 - 版本历史</title>
		<link rel="self" type="application/atom+xml" href="http://iip.nju.edu.cn/index.php?action=history&amp;feed=atom&amp;title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95"/>
		<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;action=history"/>
		<updated>2026-06-28T01:05:08Z</updated>
		<subtitle>本wiki的该页面的版本历史</subtitle>
		<generator>MediaWiki 1.28.0</generator>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=%E7%A7%91%E7%A0%94%E8%BF%9B%E5%B1%95&amp;diff=2117&amp;oldid=prev</id>
		<title>2026年6月5日 (五) 08:04 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=2117&amp;oldid=prev"/>
				<updated>2026-06-05T08:04:33Z</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;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6月5日 (五) 08:04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;2026&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;2026&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, Baoming Zhang, Meng Cao, Jianqing Song, Xinyu Cheng, Chongjun Wang.&amp;amp;nbsp;HALF: A homophily-aware loss fusion for robust learning under label noise in heterophilic graphs[J]. '''''Information Science''''', &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;Pengxiao Guo,&amp;amp;nbsp;Shuangyu Yang,&amp;amp;nbsp;Yuanqi Li,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;&amp;lt;mark data-markjs=&amp;quot;true&amp;quot;&amp;gt;Chongjun&amp;lt;/mark&amp;gt;&amp;amp;nbsp;&amp;lt;mark data-markjs=&amp;quot;true&amp;quot;&amp;gt;Wang&amp;lt;/mark&amp;gt;,&amp;amp;nbsp;Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J].&amp;amp;nbsp;I'''''EEE Trans. Vis. Comput. Graph.'''''&amp;amp;nbsp;32(2):&amp;amp;nbsp;2114-2126&amp;amp;nbsp;(2026)&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;Pengxiao Guo,&amp;amp;nbsp;Shuangyu Yang,&amp;amp;nbsp;Yuanqi Li,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;&amp;lt;mark data-markjs=&amp;quot;true&amp;quot;&amp;gt;Chongjun&amp;lt;/mark&amp;gt;&amp;amp;nbsp;&amp;lt;mark data-markjs=&amp;quot;true&amp;quot;&amp;gt;Wang&amp;lt;/mark&amp;gt;,&amp;amp;nbsp;Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J].&amp;amp;nbsp;I'''''EEE Trans. Vis. Comput. Graph.'''''&amp;amp;nbsp;32(2):&amp;amp;nbsp;2114-2126&amp;amp;nbsp;(2026)&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;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''''', 2026, 194: 108125.&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, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2026, 194: 108125.&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=2114&amp;oldid=prev</id>
		<title>2026年5月28日 (四) 14:59 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=2114&amp;oldid=prev"/>
				<updated>2026-05-28T14:59:25Z</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;2026年5月28日 (四) 14:59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;&amp;amp;nbsp;&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;&amp;amp;nbsp;&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;&amp;amp;nbsp;&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=2113&amp;oldid=prev</id>
		<title>2026年5月28日 (四) 14:59 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=2113&amp;oldid=prev"/>
				<updated>2026-05-28T14:59:12Z</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;2026年5月28日 (四) 14:59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-l7&quot; &gt;第7行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第7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-l14&quot; &gt;第14行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第15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;2026&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;2026&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;Pengxiao Guo,&amp;amp;nbsp;Shuangyu Yang,&amp;amp;nbsp;Yuanqi Li,&amp;amp;nbsp;Jie Guo,&amp;amp;nbsp;&amp;lt;mark data-markjs=&amp;quot;true&amp;quot;&amp;gt;Chongjun&amp;lt;/mark&amp;gt;&amp;amp;nbsp;&amp;lt;mark data-markjs=&amp;quot;true&amp;quot;&amp;gt;Wang&amp;lt;/mark&amp;gt;,&amp;amp;nbsp;Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J].&amp;amp;nbsp;I'''''EEE Trans. Vis. Comput. Graph.'''''&amp;amp;nbsp;32(2):&amp;amp;nbsp;2114-2126&amp;amp;nbsp;(2026)&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, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2026, 194: 108125.&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, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2026, 194: 108125.&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''''', 2026.30(2): 373-387&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''''', 2026.30(2): 373-387&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=2107&amp;oldid=prev</id>
		<title>2026年5月9日 (六) 15:01 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=2107&amp;oldid=prev"/>
				<updated>2026-05-09T15:01:02Z</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;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5月9日 (六) 15:01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-l6&quot; &gt;第6行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第6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;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;&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;&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;amp;nbsp;&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-l16&quot; &gt;第16行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第17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: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''''', 2026.30(2): 373-387&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''''', 2026.30(2): 373-387&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126&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;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126&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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In '''''&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;Proceedings of&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;'''''&amp;lt;/font&amp;gt;''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;'''''&amp;lt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;b&lt;/del&gt;&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;I&lt;/del&gt;&amp;lt;/&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;b&lt;/del&gt;&amp;gt;''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;nternational Conference on Intelligent Computing&lt;/del&gt;''' &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;(&lt;/del&gt;ICIC&amp;amp;nbsp;&amp;lt;/font&amp;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;2026&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;)&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;, 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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In '''''&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;Proceedings of&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;'''''&amp;lt;/font&amp;gt;''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;''ICIC&amp;amp;nbsp;''&amp;lt;/font&amp;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;2026&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;, 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 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;Dian Kong, Chongjun Wang.&amp;amp;nbsp;RISC: Black-Box Risk-Bounded Score Calibration for Multilingual LLM-as-a-Judge[C]&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot;&amp;gt;&amp;lt;font size=&amp;quot;3&amp;quot;&amp;gt;&amp;amp;nbsp;In '''''&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;Proceedings of&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;'''''&amp;lt;/font&amp;gt;&amp;lt;/font&amp;gt;'''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot;&amp;gt;&amp;lt;font size=&amp;quot;3&amp;quot;&amp;gt;''ICIC''&amp;lt;/font&amp;gt;&amp;lt;/font&amp;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;2026&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;, 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 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;Zhongheng Wu, Chongjun Wang: Task Planning with Explicit Graphs and Learnable Constraints[C]. &amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;/ins&gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;gt;&amp;lt;font &lt;/ins&gt;size=&amp;quot;3&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;In &lt;/ins&gt;'''''&amp;lt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;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;Proceedings of&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;'''''&amp;lt;/font&lt;/ins&gt;&amp;gt;&amp;lt;/&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;font&lt;/ins&gt;&amp;gt;'''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot;&amp;gt;&amp;lt;font size=&amp;quot;3&amp;quot;&amp;gt;&lt;/ins&gt;''ICIC&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;''&amp;lt;/font&amp;gt;&amp;lt;/font&amp;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;2026&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;, 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 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;Zhongheng Wu, Chongjun Wang: Self-Backtracking: Internalizing Search for Efficient LLM Agent Planning[C]. &lt;/ins&gt;&amp;amp;nbsp;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot;&amp;gt;&amp;lt;font size=&amp;quot;3&amp;quot;&amp;gt;In '''''&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;Proceedings of&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;'''''&amp;lt;/font&amp;gt;&amp;lt;/font&amp;gt;'''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot;&amp;gt;&amp;lt;font size=&amp;quot;3&amp;quot;&amp;gt;''ICIC''&amp;lt;/font&amp;gt;&lt;/ins&gt;&amp;lt;/font&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&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;2026&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;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 class=&quot;diffchange diffchange-inline&quot;&gt;#&lt;/ins&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;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Tianyu Xu, Chao Li, Ning Zhao, Tengfei Liu, Jinghong Zhang, Chongjun Wang. Smaller, Faster, Less Secure? A Jailbreak Security Analysis of Lightweight Code Judges [C]. In '''''Proceedings of IJCNN'''''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;'''''&amp;amp;nbsp;&lt;/ins&gt;2026&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;, &amp;amp;nbsp;Accepted.&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;#&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;Han Guan, Chongjun Wang. DESD: A Dual-Encoder Model with Adaptive Training for TCM Syndrome Differentiation [C]. In '''''Proceedings of IJCNN'''''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;'''''&amp;amp;nbsp;2026'''&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;&amp;amp;nbsp;&lt;/ins&gt;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;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;

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		<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=2106&amp;oldid=prev</id>
		<title>2026年5月9日 (六) 13:34 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=2106&amp;oldid=prev"/>
				<updated>2026-05-09T13:34:40Z</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;2026年5月9日 (六) 13:34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-l5&quot; &gt;第5行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第5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-l15&quot; &gt;第15行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第16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: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''''', 2026.30(2): 373-387&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''''', 2026.30(2): 373-387&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126&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;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126&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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In &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;Proceedings of&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/font&amp;gt;''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;'''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;International &lt;/del&gt;Conference on Intelligent Computing''' (ICIC&amp;amp;nbsp;&amp;lt;/font&amp;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;2026&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;, 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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''''&lt;/ins&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;Proceedings of&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''''&lt;/ins&gt;&amp;lt;/font&amp;gt;''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;'''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;''&amp;lt;b&amp;gt;I&amp;lt;/b&amp;gt;''nternational &lt;/ins&gt;Conference on Intelligent Computing''' (ICIC&amp;amp;nbsp;&amp;lt;/font&amp;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;2026&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;, 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;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;

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		<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=2105&amp;oldid=prev</id>
		<title>2026年5月9日 (六) 13:34 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=2105&amp;oldid=prev"/>
				<updated>2026-05-09T13:34:21Z</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5月9日 (六) 13:34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-l15&quot; &gt;第15行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第15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: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''''', 2026.30(2): 373-387&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''''', 2026.30(2): 373-387&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126&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;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126&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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In &amp;lt;/font&amp;gt;''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;'''International Conference on Intelligent Computing''' (ICIC&amp;amp;nbsp;&amp;lt;/font&amp;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;2026&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;, 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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In &lt;ins class=&quot;diffchange diffchange-inline&quot;&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;Proceedings of&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;/ins&gt;&amp;lt;/font&amp;gt;''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;'''International Conference on Intelligent Computing''' (ICIC&amp;amp;nbsp;&amp;lt;/font&amp;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;2026&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;, 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;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;

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		<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=2104&amp;oldid=prev</id>
		<title>2026年5月9日 (六) 13:33 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=2104&amp;oldid=prev"/>
				<updated>2026-05-09T13:33:32Z</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5月9日 (六) 13:33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-l2&quot; &gt;第2行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第2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;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;&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;&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;amp;nbsp;&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;−&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;#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;amp;nbsp;&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-l14&quot; &gt;第14行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第15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: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''''', 2026.30(2): 373-387&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''''', 2026.30(2): 373-387&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126&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;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126&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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In &amp;lt;/font&amp;gt;''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;International Conference on Intelligent Computing (ICIC&amp;amp;nbsp;&amp;lt;/font&amp;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;2026&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;, 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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In &amp;lt;/font&amp;gt;''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''&lt;/ins&gt;International Conference on Intelligent Computing&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;''' &lt;/ins&gt;(ICIC&amp;amp;nbsp;&amp;lt;/font&amp;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;2026&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;, 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;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;

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		<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=2103&amp;oldid=prev</id>
		<title>2026年5月9日 (六) 13:33 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=2103&amp;oldid=prev"/>
				<updated>2026-05-09T13:33:15Z</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5月9日 (六) 13:33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: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''''', 2026, 194: 108125.&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, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2026, 194: 108125.&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''''', 2026.30(2): 373-387&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''''', 2026.30(2): 373-387&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;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. ''IEEE Trans. Vis. Comput. Graph''. 2026, 32(2): 2114-2126&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;&amp;quot;&amp;gt;&lt;/ins&gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''&lt;/ins&gt;''IEEE Trans. Vis. Comput. Graph''.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;''' &lt;/ins&gt;2026, 32(2): 2114-2126&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 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;Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &amp;amp;nbsp;In &amp;lt;/font&amp;gt;''&amp;lt;font face=&amp;quot;Times New Roman, Times, serif&amp;quot; size=&amp;quot;3&amp;quot;&amp;gt;International Conference on Intelligent Computing (ICIC&amp;amp;nbsp;&amp;lt;/font&amp;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;2026&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;, Accepted.&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;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;

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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=2102&amp;oldid=prev</id>
		<title>2026年5月9日 (六) 12:02 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=2102&amp;oldid=prev"/>
				<updated>2026-05-09T12:02:40Z</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;2026年5月9日 (六) 12:02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-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;2026&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;2026&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, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;2025&lt;/del&gt;, 194: 108125.&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, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2026&lt;/ins&gt;, 194: 108125.&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;Ming Guo, Feng Chen, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;2025&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;Ming Guo, Feng Chen, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2026&lt;/ins&gt;.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;30(2): 373-387&lt;/ins&gt;&amp;lt;/span&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&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;Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. ''IEEE Trans. Vis. Comput. Graph''. 2026, 32(2): 2114-2126&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;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;

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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=2093&amp;oldid=prev</id>
		<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;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>

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