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GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation 会议论文
IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, JUN 16-20, 2019
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：209/44  |  提交时间：2022/06/14
Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection 会议论文
MM, Nice, France, October 21 - 25, 2019
作者:  Huaiwen Zhang;  Quan Fang;  Shengsheng Qian;  Changsheng Xu
Adobe PDF(2626Kb)  |  收藏  |  浏览/下载：185/59  |  提交时间：2021/06/30
Social Media  Rumor Detection  Multi-Modal  Knowledge Graph  Memory Network  
Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendatio 会议论文
, Nice, France, 2019.10.21-2019.10.27
作者:  Huang, Xiaowen;  Fang, Quan;  Qian, Shengsheng;  Sang, Jitao;  Li, Yan;  Xu, Changsheng
Adobe PDF(2452Kb)  |  收藏  |  浏览/下载：416/175  |  提交时间：2020/06/11
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs 会议论文
, Hawaii, USA, 2019-1
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(742Kb)  |  收藏  |  浏览/下载：147/35  |  提交时间：2020/06/11
Graph Convolutional Tracking 会议论文
, Long Beach, USA, 2019-6
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(1645Kb)  |  收藏  |  浏览/下载：291/103  |  提交时间：2020/06/11
A Semi-Explicit Surface Tracking Mechanism for Multi-Phase Immiscible Liquids 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2019, 卷号: 25, 期号: 10, 页码: 2873-2885
作者:  Yang, Meng;  Ye, Juntao;  Ding, Frank;  Zhang, Yubo;  Yan, Dong-Ming
Adobe PDF(9889Kb)  |  收藏  |  浏览/下载：411/111  |  提交时间：2019/09/26
Surface tracking  explicit mesh  remeshing  regional level set  multi-material  spectrally refined grid  
Multi-modal multi-view Bayesian semantic embedding for community question answering 期刊论文
NEUROCOMPUTING, 2019, 卷号: 334, 期号: 1, 页码: 44-58
作者:  Lei Sang;  Min Xu;  Shengsheng Qian;  Xindong Wu
Adobe PDF(1780Kb)  |  收藏  |  浏览/下载：399/114  |  提交时间：2019/07/12
Community question answering  Semantic embedding  Multi-modal  Multi-view  Topic model  Word embedding