Gao, Weihao

16 publications

ICML 2023 Machine Learning Force Fields with Data Cost Aware Training Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao

NeurIPSW 2023 Machine Learning Force Fields with Data Cost Aware Training Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao

ICLR 2022 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

NeurIPSW 2022 Learning Regularized Positional Encoding for Molecular Prediction Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

UAI 2022 PathFlow: A Normalizing Flow Generator That Finds Transition Paths Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang

NeurIPSW 2022 Supervised Pretraining for Molecular Force Fields and Properties Prediction Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

NeurIPSW 2021 Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks Tianze Zheng, Weihao Gao, Chong Wang

NeurIPSW 2021 Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang, Weihao Gao, Di Wu, Chong Wang

AAAI 2020 Information-Theoretic Understanding of Population Risk Improvement with Model Compression Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli

AISTATS 2019 Learning One-Hidden-Layer Neural Networks Under General Input Distributions Weihao Gao, Ashok V. Makkuva, Sewoong Oh, Pramod Viswanath

ICML 2019 Rate Distortion for Model Compression:From Theory to Practice Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh

NeurIPS 2018 The Nearest Neighbor Information Estimator Is Adaptively near Minimax Rate-Optimal Jiantao Jiao, Weihao Gao, Yanjun Han

NeurIPS 2017 Discovering Potential Correlations via Hypercontractivity Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

NeurIPS 2017 Estimating Mutual Information for Discrete-Continuous Mixtures Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

NeurIPS 2016 Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation Weihao Gao, Sewoong Oh, Pramod Viswanath

ICML 2016 Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath