Yi Zhang @ IIP, NJU-CS：修订间差异

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*'''Zhang, Y.''', Zeng, C., Cheng, H., Wang, C., & Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In ''2019 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 838-843). IEEE.

*'''Zhang, Y.''', Zeng, C., Cheng, H., Wang, C., & Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In ''2019 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 838-843). IEEE. (Oral presentation)

*'''Zhang, Y.''', Zhang, Z., Cheng, H., Lu, H., Zhang, L., Wang, C., & Xie, J. (2019, November). Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. In ''2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 102-106). IEEE.

*'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2020, August). Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning. ''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1666-1673).

*'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2020, August). Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning. ''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1666-1673). (Oral presentation)

*'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.

*'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE. (Oral presentation)

*'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.

*'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham. (Oral presentation)

*'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C.~~ ~~Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-~~missing~~. In ''~~Proceedings of~~  ~~DASFAA 2021~~. ~~''Accepted~~ (~~Regular~~)

*'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2021). Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. In ''DASFAA (2)'' (pp. 413-428). (Oral presentation)

*'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C.~~ ~~Relation-~~aware~~ Alignment Attention Network for Multi-view Multi-label Learning. In ''~~Proceedings of~~  ~~DASFAA 2021~~.~~ ''Accepted~~ (~~Regular~~)

*'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In ''DASFAA (2)'' (pp. 465-482). (Oral presentation)

*'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Label~~-specific Alignment with Adversarial~~ Multi-~~view Representation~~. ~~In''Proceedings of''~~  ''~~ICME 2021~~. ''Accepted ~~(Oral)~~

*'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE. (Oral presentation)

*'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted

*'''Zhang, Y.''', Chen, M., Shen, J., & Wang, C. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. In ''Proceedings of  AAAI 2022''. Accepted

*Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).

*Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.''''''

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*Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', & Wang, C.(2020, August). Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. ''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1111-1118).

*Zhu, Y., & '''Zhang, Y.''' (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.

*Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.,'''  & ~~Wang~~, C. ~~Unsupervised Domain Adaptation with Joint Domain~~-~~Adversarial Reconnstructionn Networks~~. ''~~In Proceedings of ECML-PKDD 2020~~, ~~Accepted~~''

*Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.''', & Wang, C. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks. ''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases'' (pp. 640-656). Springer, Cham.

*~~Shen J., '''Zhang Y.''', Yu C., Wang C. Multi~~-~~view~~ Multi-~~label Learning with Dual~~-~~Attention Networks for Stroke Screen~~.~~ ''~~In'' ''~~Proceedings of~~  ~~BIBM 2020'',~~ Accepted

*Shen, J., '''Zhang, Y.''', Yu, C., & Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 1124-1128). IEEE.

*Lu, H. Y., '''Zhang, Y.''', & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''.

*Chen M., Du Y., '''Zhang, Y.''', Qian, S., & Wang, C.Semi-Supervised Learning with Multi-Head Co-Training. In ''Proceedings of  AAAI 2022''. Accepted

'''Rewards or Honors'''

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-*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zeng, C., Cheng, H., Wang, C., & Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In&nbsp;''2019 IEEE International Conference on Multimedia and Expo (ICME)''&nbsp;(pp. 838-843). IEEE.</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zeng, C., Cheng, H., Wang, C., & Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In&nbsp;''2019 IEEE International Conference on Multimedia and Expo (ICME)''&nbsp;(pp. 838-843). IEEE. (Oral presentation)</span></span>
 *<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Cheng, H., Lu, H., Zhang, L., Wang, C., & Xie, J. (2019, November). Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. In&nbsp;''2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)''&nbsp;(pp. 102-106). IEEE.</span></span>
-*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2020, August).&nbsp;Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning.&nbsp;''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020&nbsp;''(pp. 1666-1673).</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2020, August).&nbsp;Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning.&nbsp;''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020&nbsp;''(pp. 1666-1673).&nbsp;(Oral presentation)</span></span>
-*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&nbsp;(pp. 1-8). IEEE.</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In&nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&nbsp;(pp. 1-8). IEEE.&nbsp;(Oral presentation)</span></span>
-*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&nbsp;(pp. 725-739). Springer, Cham.</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In&nbsp;''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data''&nbsp;(pp. 725-739). Springer, Cham.&nbsp;(Oral presentation)</span></span>
-*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C.&nbsp;Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In&nbsp;''Proceedings of &nbsp;DASFAA 2021.&nbsp;''Accepted (Regular)</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2021). Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. In&nbsp;''DASFAA (2)''&nbsp;(pp. 413-428).&nbsp;(Oral presentation)</span></span>
-*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C.&nbsp;Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In&nbsp;''Proceedings of &nbsp;DASFAA 2021.&nbsp;''Accepted&nbsp;(Regular)</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In&nbsp;''DASFAA (2)''&nbsp;(pp. 465-482).&nbsp;(Oral presentation)</span></span>
-*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C.&nbsp;</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Label-specific Alignment with Adversarial Multi-view Representation. In</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''Proceedings of''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp; ''ICME 2021.&nbsp;''Accepted (Oral)</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In&nbsp;''2021 IEEE International Conference on Multimedia and Expo (ICME)''&nbsp;(pp. 1-6). IEEE.&nbsp;(Oral presentation)</span></span>
+*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang,&nbsp;Y.''', Zhang, Z., Chen, M., Lu, H.,&nbsp;& Wang, C.&nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&nbsp;Intelligent Data Analysis.&nbsp;Accepted</span></span>
+*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang,&nbsp;Y.''', Chen, M., Shen, J.,&nbsp;& Wang, C.&nbsp;Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. In ''Proceedings of &nbsp;AAAI 2022''. Accepted</span></span>
 *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&nbsp;(pp. 41-49).</span></span>
 *<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In&nbsp;''2019 ''International Joint Conference on Neural Networks (IJCNN)''&nbsp;(pp. 1-8). IEEE'''.'''</span></span>'''
@@ 第52行： / 第54行： @@
 *<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', & Wang, C.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">(2020, August)</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020&nbsp;''(pp. 1111-1118).</span></span>
 *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhu, Y., & '''Zhang, Y.''' (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In&nbsp;''2020 International Joint Conference on Neural Networks (IJCNN)''&nbsp;(pp. 1-8). IEEE.</span></span>
-*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.,'''&nbsp; <span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">&&nbsp;</span></span></span></span>Wang, C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks. ''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of ECML-PKDD 2020, Accepted</span></span></span></span>''</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z.,&nbsp;'''Zhang, Y.''', & Wang, C. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks.&nbsp;''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases''&nbsp;(pp. 640-656). Springer, Cham.</span></span>
-*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shen J., '''Zhang Y.''', Yu C., Wang C.&nbsp;Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&nbsp;''In''&nbsp;''Proceedings of &nbsp;BIBM 2020'', Accepted</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Shen, J.,&nbsp;'''Zhang, Y.''', Yu, C., & Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&nbsp;''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)''&nbsp;(pp. 1124-1128). IEEE.</span></span>
+*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu, H. Y., '''Zhang, Y.''', & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.&nbsp;''Data Technologies and Applications''.</span></span>
+*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen M., Du Y., '''Zhang, Y.''', Qian, S.,&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">& Wang, C.</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Semi-Supervised Learning with Multi-Head Co-Training. In ''Proceedings of &nbsp;AAAI 2022''.&nbsp;Accepted</span></span>
 <span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Rewards or Honors'''</span></span></span>

Yi Zhang @ IIP, NJU-CS：修订间差异

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