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Yi Zhang @ IIP, NJU-CS

删除105字节, 2021年10月19日 (二) 18:40

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*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', & Wang, C.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">(2020, August)</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020&nbsp;''(pp. 1111-1118).</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&nbsp;''2020 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.,''', &nbsp; <span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">&&nbsp;</span></span></span></span>Wang, C. (2020, September). Unsupervised Domain Adaptation domain adaptation with Joint Domainjoint domain-Adversarial Reconnstructionn Networksadversarial reconstruction networks. &nbsp;''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of ECMLJoint European Conference on Machine Learning and Knowledge Discovery in Databases''&nbsp;(pp. 640-PKDD 2020656). Springer, Accepted</span></span></span></span>''Cham.</span></span> *<span style="font-familysize:Times New Roman,Times,serifmedium;"><span style="font-sizefamily:mediumTimes New Roman,Times,serif;">Shen , J., &nbsp;'''Zhang , Y.''', Yu , C., & Wang , C.&nbsp;(2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&nbsp;''In2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)''&nbsp;''Proceedings of &nbsp;BIBM 2020'', Accepted(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>

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