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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;">Du Y., Zhang R., Zhang X., Yao Y., Lu H., Wang C. 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. 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 '''''Proceedings of ICME 2021''''', Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yu H., and etc. Dual Multi-Scale Pooling for Graph Representation Learning. In '''''Proceedings of DASFAA 2021''''', Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., and etc. Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. In '''''Proceedings of DASFAA 2021''''', Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Unsupervised domain adaptation with unified joint distribution alignment regular. In '''''Proceedings of DASFAA 2021''''', Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Cross-domain error minimization for unsupervised domain adaptation regular. In '''''Proceedings of DASFAA 2021''''', Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y., and etc. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning regular. In '''''Proceedings of DASFAA 2021''''', Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y., and etc. Partial Modal Conditioned Gans for Multi-modal Multi-label Learning with Arbitrary Modal-missing Regular. In '''''Proceedings of 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. Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. In '''''Proceedings of BIBM 2020''''', 1124-1128</span></span>