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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 ''2019 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 838-843). IEEE.</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 ''2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (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). Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning. ''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020, Accepted</span></span></span></span> ''(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., 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.</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 ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.</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 ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, W., '''Zhang, Y.''', Zhang, L., Wu, J., & Wang, C. (2020). Fast core pricing algorithms for path auction. ''Autonomous Agents and Multi-Agent Systems'', ''34''(1), 18.</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. (2019). Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. </span></span>''<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">(2020, August)</span></span><span style="linefont-heightfamily:normalTimes New Roman,Times,serif;"><span langstyle="ENfont-USsize:medium;">. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. </span></span><span style="backgroundfont-size:whitemedium;"><span style="colorfont-family:#222222Times New Roman,Times,serif;">''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020, Accepted ''(pp. 1111-1118).</span></span></span></span></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 ''2020 International Joint Conference on Neural Networks (IJCNN)'' (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.,''' <span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">& </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>
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*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Excellent Graduate Student of Nanjing University in 2020</span></span>
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">First Prize of Talent Scholarship, November 2020</span></span>
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhonghui Information Scholarship, December 2019</span></span>
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Excellent Graduate Student of Nanjing University in 2019</span></span>
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Excellent Graduate Student of Nanjing University in 2018</span></span>
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">First-Class Prize Academic Scholarship, 2018-2019</span></span> *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">First-Class Prize Academic Scholarship, 2017-2018</span></span>
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Outstanding Graduate of Huazhong University of Science and Technology. Wuhan, June 2017</span></span>
