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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.(Oral presentation)</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. ''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1666-1673). (Oral presentation)</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. (Oral presentation)</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. (Oral presentation)</span></span> *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2021). Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. In ''DASFAA (2)'' (pp. 413-428). (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). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In ''DASFAA (2)'' (pp. 465-482). (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 ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE. (Oral presentation)</span></span>
*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. 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 ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</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-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. ''Data Technologies and Applications''.</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>
