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*<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;">Zhu, Y., '''Zhang, Y. '''. M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. ''In Proceedings of IJCNN 2020, ''Accepted</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>
*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</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>
