Cheuk Hang Leung

According to our database, Cheuk Hang Leung authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Into the Domain Shift: Transfer Learning Through Dependence Regularization.

Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang, Zhixiang Huang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

DIGNet: Learning Decomposed Patterns in Representation Balancing for Treatment Effect Estimation.

Yiyan Huang, Siyi Wang, Cheuk Hang Leung, Qi Wu, Dongdong Wang, Zhixiang Huang

Trans. Mach. Learn. Res., 2024

A novel HMM distance measure with state alignment.

Nan Yang, Cheuk Hang Leung, Xing Yan

Pattern Recognit. Lett., 2024

Unveiling the Potential of Robustness in Evaluating Causal Inference Models.

Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu

CoRR, 2024

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.

Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Probabilistic Learning of Multivariate Time Series with Temporal Irregularity.

Yijun Li, Cheuk Hang Leung, Qi Wu

CoRR, 2023

A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection.

Xiangqian Sun, Cheuk Hang Leung, Yijun Li, Qi Wu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Trans. Mach. Learn. Res., 2022

Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information.

Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Robust Causal Learning for the Estimation of Average Treatment Effects.

Yiyan Huang, Cheuk Hang Leung, Qi Wu, Xing Yan, Shumin Ma, Zhiri Yuan, Dongdong Wang, Zhixiang Huang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Higher-Order Orthogonal Causal Learning for Treatment Effect.

Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu

CoRR, 2021

The Causal Learning of Retail Delinquency.

Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Understanding distributional ambiguity via non-robust chance constraint.

Shumin Ma, Cheuk Hang Leung, Qi Wu, Wei Liu, Nanbo Peng

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019

Understanding Distributional Ambiguity via Non-robust Chance Constraint.

Qi Wu, Shumin Ma, Cheuk Hang Leung, Wei Liu

CoRR, 2019