科研进展：修订间差异
跳转到导航
跳转到搜索
无编辑摘要 |
无编辑摘要 |
||
| 第1行： | 第1行： | ||
= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' = | = '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' = | ||
| 第14行： | 第13行： | ||
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Xu M., Zhang B., Cao M., Yu H., Wang C. LSEGNN: Encode Local Topology Structure in Graph Neural Networks. '''''IPCCC 2022''''', Accepted</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. LSEGNN: Encode Local Topology Structure in Graph Neural Networks. '''''IPCCC 2022''''', Accepted</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y., Shen J., Yu C., Wang C. Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning. '''''IEEE Multim'''''. 2022, 29(2): 104-113</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y., Shen J., Yu C., Wang C. Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning. '''''IEEE Multim'''''. 2022, 29(2): 104-113</span></span> | ||
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Wu J., | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Wu J., Cao J., Sun H., and Wang C. A Bayesian Optimal Social Law Synthesizing Mechanism for Strategic Agents[J]. '''''JAAMAS'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 2022, 36(2)</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Luo H., Yang H., Jiang J. and etc. InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> '''''ECML PKDD 2022''''', Accepted</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Luo H., Yang H., Jiang J. and etc. InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> '''''ECML PKDD 2022''''', Accepted</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Xu M. etc. NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> '''''APWeb-WAIM 2022''''', Accepted</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Xu M. etc. NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> '''''APWeb-WAIM 2022''''', Accepted</span></span> | ||