Cheuk Hang Leung

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Transfer Learning

Subset Selection

Multivariate Time Series

Exponential Distributions

Top Venues

Trans. Mach. Learn. Res.

Publications

Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. CoRR (2024)
Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu
Unveiling the Potential of Robustness in Evaluating Causal Inference Models. CoRR (2024)
Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang
The Causal Impact of Credit Lines on Spending Distributions. AAAI (2024)
Yiyan Huang, Siyi Wang, Cheuk Hang Leung, Qi Wu, Dongdong Wang, Zhixiang Huang
DIGNet: Learning Decomposed Patterns in Representation Balancing for Treatment Effect Estimation. Trans. Mach. Learn. Res. 2024 (2024)
Xiangqian Sun, Cheuk Hang Leung, Yijun Li, Qi Wu
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection. AISTATS (2023)
Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang, Zhixiang Huang
Deep into The Domain Shift: Transfer Learning through Dependence Regularization. CoRR (2023)
Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Zhiri Yuan, Qi Wu, Siyi Wang, Dongdong Wang, Zhixiang Huang
Towards Balanced Representation Learning for Credit Policy Evaluation. AISTATS (2023)
Yijun Li, Cheuk Hang Leung, Qi Wu
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity. CoRR (2023)
Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang
The Causal Impact of Credit Lines on Spending Distributions. CoRR (2023)
Yiyan Huang, Cheuk Hang Leung, Qi Wu, Xing Yan, Shumin Ma, Zhiri Yuan, Dongdong Wang, Zhixiang Huang
Robust Causal Learning for the Estimation of Average Treatment Effects. IJCNN (2022)
Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information. PRICAI (2) (2022)
Zhiri Yuan, Xixu Hu, Qi Wu, Shumin Ma, Cheuk Hang Leung, Xin Shen, Yiyan Huang
A Unified Domain Adaptation Framework with Distinctive Divergence Analysis. Trans. Mach. Learn. Res. 2022 (2022)
Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information. CoRR (2022)
Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang
The Causal Learning of Retail Delinquency. AAAI (2021)
Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu
Higher-Order Orthogonal Causal Learning for Treatment Effect. CoRR (2021)
Shumin Ma, Cheuk Hang Leung, Qi Wu, Wei Liu, Nanbo Peng
Understanding distributional ambiguity via non-robust chance constraint. ICAIF (2020)
Qi Wu, Shumin Ma, Cheuk Hang Leung, Wei Liu
Understanding Distributional Ambiguity via Non-robust Chance Constraint. CoRR (2019)