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科研进展

删除12字节, 2022年1月18日 (二) 11:33
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#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Meng Cao, Hao Chen,&nbsp;Hualei Yu, Junyuan Xie and Chongjun Wang.A Unified Structure Learning Framework for Graph Attention Networks. '''''NearalComputing''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y.&nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&nbsp;'''''IDA Journal''''', Accepted</span></span>
#​​<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Zhang R., Zhang X., Yao Y., Lu H., Wang C.&nbsp;Learning transferable and discriminative features for unsupervised domain adaptation. '''''IDA Journal''''', Accepted</span></span>
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2021</span></span></p>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Huang Z., Zhang L., Zhang Y. Qian S. and Wang C.&nbsp;ransformer based Multi-output Regression Learning for Wastewater Treatment.&nbsp;In&nbsp;'''''Proceedings of &nbsp;ICTAI 2021''''', 608-703</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang J., Zhang B., Li K., Xu M. and Wang C.&nbsp;Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game.&nbsp;In&nbsp;'''''Proceedings of &nbsp;ISPA 2021''''', 1444-1451</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang J., Li K., Zhang B., Xu M. and Wang C.&nbsp;QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting.&nbsp;In&nbsp;'''''Proceedings of &nbsp;ISPA 2021''''', 1110-1117</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Xu M., Zhang L., Zhang B., Cao M., Yuan J.&nbsp;and Wang C.&nbsp;EPINE: Enhanced Proximity Information Network Embedding.&nbsp;In&nbsp;'''''Proceedings of &nbsp;ISPA 2021''''', Accepted143-150</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cao&nbsp;M., Yuan J., Xu M., Yu H. and Wang C.&nbsp;Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Networ.&nbsp;'''''IEEE ACCESS''''',&nbsp;2021, 9: 88301-88312</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">He Q., Qiao Y., Yang S.&nbsp; and etc.</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Equitable Valuation of Crowdsensing for Machine Learning via Game Theory</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">.</span></span>&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">In&nbsp;'''''Proceedings of &nbsp;WASA 2021''''', 133-141</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">He Q., Qiao Y., Yang S.&nbsp; and etc.&nbsp;</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Robust and Efficient Mechanism Design for Heterogeneous Task Crowdsensing</span></span>.&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">In&nbsp;'''''Proceedings of &nbsp;WASA 2021''''', 99-107</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Qiu C., Yao Y., and Du Y. Nested Dense Attention Network For Single Image Super-Resolution.&nbsp;In&nbsp;'''''Proceedings of &nbsp;ICMR2021''''', Accepted250-258</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen H. &nbsp;and etc. False-name-proof mechanism for&nbsp; time window coverage tasks in mobile crowdsensing.</span></span>&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">In&nbsp;'''''Proceedings of &nbsp;ICCCN&nbsp;2021''''', 1-10</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Yu Hualei, Yuan Jinliang, Cheng Hao, Cao Meng and Wang Chongjun.&nbsp;GSAPool: Gated Structure Aware Pooling for Graph Representation Learning</span></span>.&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">In&nbsp;'''''Proceedings of &nbsp;IJCNN 2021''''', 1-8</span></span>
#​​<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Zhang R., Zhang X., Yao Y., Lu H., Wang C.&nbsp;Learning transferable and discriminative features for unsupervised domain adaptation. '''''IDA Journal''''', Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y., and etc.&nbsp;Label-specific Alignment with Adversarial Multi-view Representation</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. In&nbsp;'''''Proceedings of &nbsp;ICME 2021''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yu H.,&nbsp;Luo C., Du Y., Cheng H., Cao M. and Wang C.&nbsp;Dual Multi-Scale Pooling for Graph Representation Learning. In&nbsp;'''''Proceedings of &nbsp;DASFAA 2021''''': 375-384</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., &nbsp;Cao Y., Zhou Y., Chen Y., Zhang R.&nbsp;and Wang C. Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. In&nbsp;'''''Proceedings of &nbsp;DASFAA 2021''''': 400-409</span></span>
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