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科研进展

添加3字节, 2022年12月14日 (三) 22:46
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= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' =
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Liu Z., etc.&nbsp;FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance[C].&nbsp;</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''ICTAI 2022'''</i>,&nbsp;Accepted</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Ge Y., etc.&nbsp;MRM: Site Selection via Mutil-round Meanshift for Global Fairness[C].</span></span>&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;ICTAI 2022''''',&nbsp;Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yu H., etc.&nbsp;''Not All Edges are Peers: Accurate Structure-Aware Graph Pooling Networks''</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[J]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. '''''Neural Networks''''',&nbsp;Accepted2022, 156: 58-66</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Xu M., Zhang B., Cao M., Yu H., Wang C.&nbsp;LSEGNN: Encode Local Topology Structure in Graph Neural Networks[C].</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''IPCCC 2022'''</i>,&nbsp;Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y.,&nbsp;Shen J.,&nbsp;Yu C., Wang C.&nbsp;Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[J]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''''IEEE Multim'''''. 2022, 29(2):&nbsp;104-113</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Lu H., Yang J., Fang W., Song X. and Wang C. A DNNs-based fusion model for COVID-19 rumor detection from online social media</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[J]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span>&nbsp;<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''''Data Technologies and Applications'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 2022, 56(5): 806-824</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cui F., Chen Y., Du Y., Cao Y. and Wang C. Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[C]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span>&nbsp;<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of &nbsp;PAKDD2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 432-446</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y. Zhu Y., Zhang Z., Wang C.&nbsp;Collaboration based Multi-modal Multi-label Learning[J].&nbsp;'''Applied Intelligence'''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">,2022, 52(12): 14204-14217</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y. Chen M. Shen J. Wang C. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition.</span></span>&nbsp;<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of &nbsp;AAAI2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 9100-9108</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen M. Du Y., Zhang Y., Qian S. Wang C.&nbsp;Semi-Supervised Learning with Multi-Head Co-Training</span></span>.&nbsp;<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of &nbsp;AAAI2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 6278- 6286</span></span>
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