<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="zh-CN">
		<id>http://iip.nju.edu.cn/index.php?action=history&amp;feed=atom&amp;title=Yi_Zhang_%40_IIP%2C_NJU-CS</id>
		<title>Yi Zhang @ IIP, NJU-CS - 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=Yi_Zhang_%40_IIP%2C_NJU-CS"/>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;action=history"/>
		<updated>2026-04-25T20:39:49Z</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=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1575&amp;oldid=prev</id>
		<title>2021年12月12日 (日) 12:32 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1575&amp;oldid=prev"/>
				<updated>2021-12-12T12:32:18Z</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;2021年12月12日 (日) 12:32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-l48&quot; &gt;第48行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第48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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&amp;amp;nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 1-6). IEEE.&amp;amp;nbsp;(Oral presentation)&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&amp;amp;nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 1-6). IEEE.&amp;amp;nbsp;(Oral presentation)&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;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., Lu, H.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., Lu, H.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&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;'''Zhang,&amp;amp;nbsp;Y.''', Chen, M., Shen, J.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. AAAI &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;2021&lt;/del&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;'''Zhang,&amp;amp;nbsp;Y.''', Chen, M., Shen, J.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;In ''Proceedings of &amp;amp;nbsp;&lt;/ins&gt;AAAI &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2022''&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;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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&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; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l56&quot; &gt;第56行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第56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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Chen, Q., Du, Y., Tan, Z.,&amp;amp;nbsp;'''Zhang, Y.''', &amp;amp; Wang, C. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks.&amp;amp;nbsp;''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases''&amp;amp;nbsp;(pp. 640-656). Springer, Cham.&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;Chen, Q., Du, Y., Tan, Z.,&amp;amp;nbsp;'''Zhang, Y.''', &amp;amp; Wang, C. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks.&amp;amp;nbsp;''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases''&amp;amp;nbsp;(pp. 640-656). Springer, Cham.&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;Shen, J.,&amp;amp;nbsp;'''Zhang, Y.''', Yu, C., &amp;amp; Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&amp;amp;nbsp;''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)''&amp;amp;nbsp;(pp. 1124-1128). IEEE.&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;Shen, J.,&amp;amp;nbsp;'''Zhang, Y.''', Yu, C., &amp;amp; Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&amp;amp;nbsp;''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)''&amp;amp;nbsp;(pp. 1124-1128). IEEE.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Lu, H. Y., Zhang, Y., &amp;amp; Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.&amp;amp;nbsp;''Data Technologies and Applications''.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Lu, H. Y., &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''&lt;/ins&gt;Zhang, Y.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''&lt;/ins&gt;, &amp;amp; Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.&amp;amp;nbsp;''Data Technologies and Applications''.&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;Chen M., Du Y., '''Zhang, Y.''', Qian, S.,&amp;amp;nbsp;&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;amp; Wang, C.&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;Semi-Supervised Learning with Multi-Head Co-Training. In ''Proceedings of &amp;amp;nbsp;AAAI 2022''.&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 class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: 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:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#3498db&amp;quot;&amp;gt;'''Rewards or Honors'''&amp;lt;/span&amp;gt;&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;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#3498db&amp;quot;&amp;gt;'''Rewards or Honors'''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1574:newid:1575 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1574&amp;oldid=prev</id>
		<title>2021年12月12日 (日) 12:20 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1574&amp;oldid=prev"/>
				<updated>2021-12-12T12:20:41Z</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;2021年12月12日 (日) 12:20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-l48&quot; &gt;第48行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第48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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&amp;amp;nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 1-6). IEEE.&amp;amp;nbsp;(Oral presentation)&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&amp;amp;nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 1-6). IEEE.&amp;amp;nbsp;(Oral presentation)&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;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., Lu, H.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., Lu, H.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td 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;'''Zhang,&amp;amp;nbsp;Y.''', Chen, M., Shen, J.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. AAAI 2021. 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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1536:newid:1574 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1536&amp;oldid=prev</id>
		<title>2021年10月19日 (二) 10:40 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1536&amp;oldid=prev"/>
				<updated>2021-10-19T10:40:45Z</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;2021年10月19日 (二) 10:40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-l53&quot; &gt;第53行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第53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;Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', &amp;amp; Wang, 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;(2020, August)&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;. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.&amp;amp;nbsp;&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;''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020&amp;amp;nbsp;''(pp. 1111-1118).&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;Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', &amp;amp; Wang, 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;(2020, August)&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;. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.&amp;amp;nbsp;&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;''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020&amp;amp;nbsp;''(pp. 1111-1118).&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;Zhu, Y., &amp;amp; '''Zhang, Y.''' (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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;Zhu, Y., &amp;amp; '''Zhang, Y.''' (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;,&lt;/del&gt;'''&amp;amp;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;nbsp; &amp;lt;span style=&amp;quot;line-height:normal&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;EN-US&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;background:white&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#222222&amp;quot;&amp;gt;&amp;amp;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;/del&gt;Wang, C. Unsupervised &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Domain Adaptation &lt;/del&gt;with &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Joint Domain&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Adversarial Reconnstructionn Networks&lt;/del&gt;. ''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;span style=&amp;quot;line-height:normal&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;EN-US&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;background:white&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#222222&amp;quot;&amp;gt;&lt;/del&gt;In &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of ECML&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;PKDD 2020&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Chen, Q., Du, Y., Tan, Z.,&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/ins&gt;'''Zhang, Y.'''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, &lt;/ins&gt;&amp;amp; Wang, C&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;. (2020, September)&lt;/ins&gt;. Unsupervised &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;domain adaptation &lt;/ins&gt;with &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;joint domain&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;adversarial reconstruction networks&lt;/ins&gt;.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/ins&gt;''In &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Joint European Conference on Machine Learning and Knowledge Discovery in Databases''&amp;amp;nbsp;(pp. 640&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;656). Springer&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Cham.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;family&lt;/del&gt;:&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Times New Roman,Times,serif&lt;/del&gt;;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;size&lt;/del&gt;:&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;medium&lt;/del&gt;;&amp;quot;&amp;gt;Shen J., '''Zhang Y.''', Yu C., Wang C.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&amp;amp;nbsp;''In''&amp;amp;nbsp;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;''Proceedings of &amp;amp;nbsp;BIBM 2020'', Accepted&lt;/del&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;size&lt;/ins&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;medium&lt;/ins&gt;;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;family&lt;/ins&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Times New Roman,Times,serif&lt;/ins&gt;;&amp;quot;&amp;gt;Shen&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, &lt;/ins&gt;J.,&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/ins&gt;'''Zhang&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, &lt;/ins&gt;Y.''', Yu&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, &lt;/ins&gt;C., &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp; &lt;/ins&gt;Wang&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;, &lt;/ins&gt;C. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(2020, December). &lt;/ins&gt;Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&amp;amp;nbsp;''In &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)&lt;/ins&gt;''&amp;amp;nbsp;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(pp. 1124-1128). IEEE.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Lu, H. Y., Zhang, Y., &amp;amp; Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.&amp;amp;nbsp;''Data Technologies and Applications''.&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;Lu, H. Y., Zhang, Y., &amp;amp; Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.&amp;amp;nbsp;''Data Technologies and Applications''.&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;/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;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1497:newid:1536 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1497&amp;oldid=prev</id>
		<title>2021年7月18日 (日) 08:28 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1497&amp;oldid=prev"/>
				<updated>2021-07-18T08:28:40Z</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;
				&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;2021年7月18日 (日) 08:28的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l39&quot; &gt;第39行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第39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;----&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;----&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;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;'''Zhang, Y.''', Zeng, C., Cheng, H., Wang, C., &amp;amp; Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In&amp;amp;nbsp;''2019 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 838-843). IEEE.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Zeng, C., Cheng, H., Wang, C., &amp;amp; Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In&amp;amp;nbsp;''2019 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 838-843). IEEE. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(Oral presentation)&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;'''Zhang, Y.''', Zhang, Z., Cheng, H., Lu, H., Zhang, L., Wang, C., &amp;amp; Xie, J. (2019, November). Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. In&amp;amp;nbsp;''2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)''&amp;amp;nbsp;(pp. 102-106). IEEE.&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;'''Zhang, Y.''', Zhang, Z., Cheng, H., Lu, H., Zhang, L., Wang, C., &amp;amp; Xie, J. (2019, November). Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. In&amp;amp;nbsp;''2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)''&amp;amp;nbsp;(pp. 102-106). IEEE.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C. (2020, August).&amp;amp;nbsp;Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning.&amp;amp;nbsp;''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020&amp;amp;nbsp;''(pp. 1666-1673).&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C. (2020, August).&amp;amp;nbsp;Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning.&amp;amp;nbsp;''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020&amp;amp;nbsp;''(pp. 1666-1673).&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;(Oral presentation)&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., &amp;amp; Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., &amp;amp; Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;(Oral presentation)&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., &amp;amp; Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&amp;amp;nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&amp;amp;nbsp;(pp. 725-739). Springer, Cham.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., &amp;amp; Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&amp;amp;nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&amp;amp;nbsp;(pp. 725-739). Springer, Cham.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;(Oral presentation)&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C. (2021). Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. In&amp;amp;nbsp;''DASFAA (2)''&amp;amp;nbsp;(pp. 413-428).&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C. (2021). Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. In&amp;amp;nbsp;''DASFAA (2)''&amp;amp;nbsp;(pp. 413-428).&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;(Oral presentation)&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''DASFAA (2)''&amp;amp;nbsp;(pp. 465-482).&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''DASFAA (2)''&amp;amp;nbsp;(pp. 465-482).&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;(Oral presentation)&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&amp;amp;nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 1-6). IEEE.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&amp;amp;nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 1-6). IEEE.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;(Oral presentation)&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;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., Lu, H.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., Lu, H.,&amp;amp;nbsp;&amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l55&quot; &gt;第55行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第55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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.,'''&amp;amp;nbsp; &amp;lt;span style=&amp;quot;line-height:normal&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;EN-US&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;background:white&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#222222&amp;quot;&amp;gt;&amp;amp;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;Wang, C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks. ''&amp;lt;span style=&amp;quot;line-height:normal&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;EN-US&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;background:white&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#222222&amp;quot;&amp;gt;In Proceedings of ECML-PKDD 2020, Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: 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;Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.,'''&amp;amp;nbsp; &amp;lt;span style=&amp;quot;line-height:normal&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;EN-US&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;background:white&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#222222&amp;quot;&amp;gt;&amp;amp;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;Wang, C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks. ''&amp;lt;span style=&amp;quot;line-height:normal&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;EN-US&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;background:white&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#222222&amp;quot;&amp;gt;In Proceedings of ECML-PKDD 2020, Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;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;Shen J., '''Zhang Y.''', Yu C., Wang C.&amp;amp;nbsp;Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&amp;amp;nbsp;''In''&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;BIBM 2020'', Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Shen J., '''Zhang Y.''', Yu C., Wang C.&amp;amp;nbsp;Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&amp;amp;nbsp;''In''&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;BIBM 2020'', 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 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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Lu, H. Y., Zhang, Y., &amp;amp; Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.&amp;amp;nbsp;''Data Technologies and Applications''.&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;/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:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#3498db&amp;quot;&amp;gt;'''Rewards or Honors'''&amp;lt;/span&amp;gt;&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;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:larger&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color:#3498db&amp;quot;&amp;gt;'''Rewards or Honors'''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1490:newid:1497 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1490&amp;oldid=prev</id>
		<title>2021年7月7日 (三) 13:15 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1490&amp;oldid=prev"/>
				<updated>2021-07-07T13:15:30Z</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;2021年7月7日 (三) 13:15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-l47&quot; &gt;第47行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第47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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''DASFAA (2)''&amp;amp;nbsp;(pp. 465-482).&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''DASFAA (2)''&amp;amp;nbsp;(pp. 465-482).&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&amp;amp;nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 1-6). IEEE.&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&amp;amp;nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&amp;amp;nbsp;(pp. 1-6). IEEE.&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;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., &amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Lu, H.,&amp;amp;nbsp;&lt;/ins&gt;&amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1489:newid:1490 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1489&amp;oldid=prev</id>
		<title>2021年7月7日 (三) 13:12 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1489&amp;oldid=prev"/>
				<updated>2021-07-07T13:12:14Z</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;2021年7月7日 (三) 13:12的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l44&quot; &gt;第44行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第44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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., &amp;amp; Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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;'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., &amp;amp; Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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;'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., &amp;amp; Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&amp;amp;nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&amp;amp;nbsp;(pp. 725-739). Springer, Cham.&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;'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., &amp;amp; Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&amp;amp;nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&amp;amp;nbsp;(pp. 725-739). Springer, Cham.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;missing&lt;/del&gt;. In&amp;amp;nbsp;''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of &amp;amp;nbsp;&lt;/del&gt;DASFAA &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;2021.&lt;/del&gt;&amp;amp;nbsp;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;''Accepted &lt;/del&gt;(&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Regular&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(2021). &lt;/ins&gt;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Missing&lt;/ins&gt;. In&amp;amp;nbsp;''DASFAA &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(2)''&lt;/ins&gt;&amp;amp;nbsp;(&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;pp. 413-428&lt;/ins&gt;)&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&lt;/del&gt;Relation-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;aware &lt;/del&gt;Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Proceedings of &amp;amp;nbsp;&lt;/del&gt;DASFAA &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;2021.&amp;amp;nbsp;&lt;/del&gt;''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Accepted&lt;/del&gt;&amp;amp;nbsp;(&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Regular&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(2021). &lt;/ins&gt;Relation-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Aware &lt;/ins&gt;Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''DASFAA &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(2)&lt;/ins&gt;''&amp;amp;nbsp;(&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;pp. 465-482&lt;/ins&gt;)&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;.&lt;/ins&gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman&lt;/del&gt;,&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;/del&gt;Label-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;specific &lt;/del&gt;Alignment with Adversarial Multi-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;view &lt;/del&gt;Representation. In&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&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;''Proceedings of''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&lt;/del&gt;&amp;amp;nbsp; ''ICME &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;2021.&lt;/del&gt;&amp;amp;nbsp;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;''Accepted &lt;/del&gt;(&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Oral&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(2021&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;July). &lt;/ins&gt;Label-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Specific &lt;/ins&gt;Alignment with Adversarial Multi-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;View &lt;/ins&gt;Representation. In&amp;amp;nbsp;''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2021 IEEE International Conference on Multimedia and Expo (&lt;/ins&gt;ICME&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;)''&lt;/ins&gt;&amp;amp;nbsp;(&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;pp. 1-6&lt;/ins&gt;)&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;. IEEE.&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;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., &amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., &amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&amp;amp;nbsp;Accepted&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1488:newid:1489 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1488&amp;oldid=prev</id>
		<title>2021年7月7日 (三) 13:06 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1488&amp;oldid=prev"/>
				<updated>2021-07-07T13:06:32Z</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;2021年7月7日 (三) 13:06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-l47&quot; &gt;第47行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第47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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021.&amp;amp;nbsp;''Accepted&amp;amp;nbsp;(Regular)&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021.&amp;amp;nbsp;''Accepted&amp;amp;nbsp;(Regular)&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;&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;Label-specific Alignment with Adversarial Multi-view Representation. In&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;''Proceedings of''&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; ''ICME 2021.&amp;amp;nbsp;''Accepted (Oral)&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;&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;Label-specific Alignment with Adversarial Multi-view Representation. In&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;''Proceedings of''&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; ''ICME 2021.&amp;amp;nbsp;''Accepted (Oral)&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 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;'''Zhang,&amp;amp;nbsp;Y.''', Zhang, Z., Chen, M., &amp;amp; Wang, C.&amp;amp;nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&amp;amp;nbsp;Intelligent Data Analysis.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1403:newid:1488 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1403&amp;oldid=prev</id>
		<title>2021年3月7日 (日) 11:25 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1403&amp;oldid=prev"/>
				<updated>2021-03-07T11:25:21Z</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;2021年3月7日 (日) 11:25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-l46&quot; &gt;第46行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第46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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C.&amp;amp;nbsp;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021.&amp;amp;nbsp;''Accepted (Regular)&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;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C.&amp;amp;nbsp;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021.&amp;amp;nbsp;''Accepted (Regular)&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021.&amp;amp;nbsp;''Accepted&amp;amp;nbsp;(Regular)&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021.&amp;amp;nbsp;''Accepted&amp;amp;nbsp;(Regular)&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Zhang&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Z&lt;/del&gt;., &amp;amp; Wang, C.&amp;amp;nbsp;&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;Label-specific Alignment with Adversarial Multi-view Representation. In&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;''Proceedings of''&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; ''ICME 2021.&amp;amp;nbsp;''Accepted (Oral)&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Yu&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;C&lt;/ins&gt;., &amp;amp; Wang, C.&amp;amp;nbsp;&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;Label-specific Alignment with Adversarial Multi-view Representation. In&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;''Proceedings of''&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; ''ICME 2021.&amp;amp;nbsp;''Accepted (Oral)&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1402:newid:1403 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1402&amp;oldid=prev</id>
		<title>2021年3月7日 (日) 11:24 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1402&amp;oldid=prev"/>
				<updated>2021-03-07T11:24:20Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&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;2021年3月7日 (日) 11:24的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l44&quot; &gt;第44行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第44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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., &amp;amp; Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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;'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., &amp;amp; Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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;'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., &amp;amp; Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&amp;amp;nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&amp;amp;nbsp;(pp. 725-739). Springer, Cham.&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;'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., &amp;amp; Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&amp;amp;nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&amp;amp;nbsp;(pp. 725-739). Springer, Cham.&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C.&amp;amp;nbsp;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;, &lt;/del&gt;Accepted (Regular)&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C.&amp;amp;nbsp;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;.&amp;amp;nbsp;&lt;/ins&gt;''Accepted (Regular)&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;, &lt;/del&gt;Accepted&amp;amp;nbsp;(Regular)&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;.&amp;amp;nbsp;&lt;/ins&gt;''Accepted&amp;amp;nbsp;(Regular&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C.&amp;amp;nbsp;&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;Label-specific Alignment with Adversarial Multi-view Representation. In&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;''Proceedings of''&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; ''ICME 2021.&amp;amp;nbsp;''Accepted (Oral&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1394:newid:1402 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	<entry>
		<id>http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1394&amp;oldid=prev</id>
		<title>2021年1月14日 (四) 13:22 Lhy</title>
		<link rel="alternate" type="text/html" href="http://iip.nju.edu.cn/index.php?title=Yi_Zhang_@_IIP,_NJU-CS&amp;diff=1394&amp;oldid=prev"/>
				<updated>2021-01-14T13:22:02Z</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;
				&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;2021年1月14日 (四) 13:22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-l44&quot; &gt;第44行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第44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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., &amp;amp; Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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;'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., &amp;amp; Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&amp;amp;nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE.&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;'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., &amp;amp; Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&amp;amp;nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&amp;amp;nbsp;(pp. 725-739). Springer, Cham.&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;'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., &amp;amp; Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&amp;amp;nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&amp;amp;nbsp;(pp. 725-739). Springer, Cham.&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 style=&quot;font-weight: bold; text-decoration: none;&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;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C.&amp;amp;nbsp;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021'', Accepted (Regular)&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021'', Accepted&amp;amp;nbsp;(Regular)&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;'''Zhang, Y.''', Shen, J., Yu, C., &amp;amp; Wang, C.&amp;amp;nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021'', Accepted&amp;amp;nbsp;(Regular)&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;'''Zhang, Y.''', Shen, J., Zhang, Z., &amp;amp; Wang, C.&amp;amp;nbsp;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In&amp;amp;nbsp;''Proceedings of &amp;amp;nbsp;DASFAA 2021'', Accepted (Regular)&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-size:medium;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family:Times New Roman,Times,serif;&amp;quot;&amp;gt;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., &amp;amp; Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&amp;amp;nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&amp;amp;nbsp;(pp. 41-49).&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&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;Zeng, C., '''Zhang, Y.''', Lu, H. Y., &amp;amp; Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&amp;amp;nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&amp;amp;nbsp;(pp. 1-8). IEEE'''.'''&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;''' &amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

&lt;!-- diff cache key my_wiki:diff:version:1.11a:oldid:1393:newid:1394 --&gt;
&lt;/table&gt;</summary>
		<author><name>Lhy</name></author>	</entry>

	</feed>