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科研进展

添加631字节, 2021年8月8日 (日) 15:04
无编辑摘要
 
 
= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' =
'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</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;">Xiaowen Zhang, Yuntao Du, Rongbiao Xie and Chongjun Wang.Adversarial Separation Network for Cross-Network Node Classification.&nbsp;In&nbsp;'''''Proceedings of &nbsp;CIKM2021''''', Accepted</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie and Chongjun Wang.Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks.&nbsp;In&nbsp;'''''Proceedings of &nbsp;CIKM2021''''', Accepted</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''''', Accepted</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''''', Accepted</span></span>
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