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Yi Zhang @ IIP, NJU-CS

添加504字节, 2021年12月12日 (日) 20:32
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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-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 20212022''. 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>'''
*<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-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>
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