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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. 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 ECAI 2020, Accepted</span></span></span></span>''</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.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">. Rethinking Modal-oriented Label Correlations 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 IJCNN 2020, Accepted</span></span></span></span>''</span></span> *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang Y.''', Zhang Z., Zhu Y., Zhang L., and Wang C. Discriminative Multi-label Model Reuse for Multi-label Learning. ''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of APWeb-WAIM 2020, Accepted</span></span></span></span>''</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 ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (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 ''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;"><span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of ECAI 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., '''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>
