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科研进展

添加1,619字节, 2021年1月14日 (四) 15:10
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= '''<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-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Dual Multi-Scale Pooling for Graph Representation Learning. In&nbsp;'''''Proceedings of &nbsp;DASFAA 2021''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. In&nbsp;'''''Proceedings of &nbsp;DASFAA 2021''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Unsupervised domain adaptation with unified joint distribution alignment regular. In&nbsp;'''''Proceedings of &nbsp;DASFAA 2021''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cross-domain error minimization for unsupervised domain adaptation regular. In&nbsp;'''''Proceedings of &nbsp;DASFAA 2021''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Relation-aware Alignment Attention Network for Multi-view Multi-label Learning regular. In&nbsp;'''''Proceedings of &nbsp;DASFAA 2021''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Partial Modal Conditioned Gans for Multi-modal Multi-label Learning with Arbitrary Modal-missing Regular. In&nbsp;'''''Proceedings of &nbsp;DASFAA 2021''''', Accepted</span></span>
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2020</span></span></p>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shen J., Zhang Y., Yu C., Wang C.&nbsp;Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.&nbsp;In&nbsp;'''''Proceedings of &nbsp;BIBM 2020''''', Accepted</span></span>
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