Leung, Cheuk Hang

9 publications

AAAI 2025 Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data Cheuk Hang Leung, Yiyan Huang, Yijun Li, Qi Wu

TMLR 2024 DIGNet: Learning Decomposed Patterns in Representation Balancing for Treatment Effect Estimation Yiyan Huang, Wang Siyi, Cheuk Hang Leung, Qi Wu, Dongdong Wang, Zhixiang Huang

ECCV 2024 SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie

AAAI 2024 The Causal Impact of Credit Lines on Spending Distributions Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang

NeurIPS 2024 Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu

AISTATS 2023 A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection Xiangqian Sun, Cheuk Hang Leung, Yijun Li, Qi Wu

AISTATS 2023 Towards Balanced Representation Learning for Credit Policy Evaluation Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Zhiri Yuan, Qi Wu, Siyi Wang, Dongdong Wang, Zhixiang Huang

TMLR 2022 A Unified Domain Adaptation Framework with Distinctive Divergence Analysis Zhiri Yuan, Xixu Hu, Qi Wu, Shumin Ma, Cheuk Hang Leung, Xin Shen, Yiyan Huang

AAAI 2021 The Causal Learning of Retail Delinquency Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang