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Learning to Simulate Unseen Physical Systems with Graph Neural Networks



Ce Yang , Weihao Gao , Di Wu , Chong Wang

* 9 pages, 5 figures, NeurIPS 2021 Workshop on AI for Science 

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Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks



Tianze Zheng , Weihao Gao , Chong Wang

* 7 pages, 2 figures. NeurIPS 2021 AI for Science Workshop 

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Defending against Reconstruction Attack in Vertical Federated Learning



Jiankai Sun , Yuanshun Yao , Weihao Gao , Junyuan Xie , Chong Wang

* Accepted to International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21) 

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Vertical Federated Learning without Revealing Intersection Membership



Jiankai Sun , Xin Yang , Yuanshun Yao , Aonan Zhang , Weihao Gao , Junyuan Xie , Chong Wang


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One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning



Chaosheng Dong , Xiaojie Jin , Weihao Gao , Yijia Wang , Hongyi Zhang , Xiang Wu , Jianchao Yang , Xiaobing Liu

* 13 pages 

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Label Leakage and Protection in Two-party Split Learning



Oscar Li , Jiankai Sun , Xin Yang , Weihao Gao , Hongyi Zhang , Junyuan Xie , Virginia Smith , Chong Wang


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Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations



Weihao Gao , Xiangjun Fan , Jiankai Sun , Kai Jia , Wenzhi Xiao , Chong Wang , Xiaobing Liu

* 13 pages, 4 figures 

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Information-Theoretic Understanding of Population Risk Improvement with Model Compression



Yuheng Bu , Weihao Gao , Shaofeng Zou , Venugopal V. Veeravalli

* submitted to ICML 2019 

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Rate Distortion For Model Compression: From Theory To Practice



Weihao Gao , Chong Wang , Sewoong Oh

* 15 pages, 5 figures 

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