Yi Zhang @ IIP, NJU-CS:修订间差异

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*<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-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.''', 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-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>'''  
*<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>'''  
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*<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-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;">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-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>
<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Rewards or Honors'''</span></span></span>