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2020 – today
- 2024
[j3]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)- [j2]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. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14409-14423 (2024) - [c8]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: 180-187 - [c7]Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie:
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. ECCV (54) 2024: 345-362 - [i8]Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie:
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. CoRR abs/2402.03317 (2024) - [i7]Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu:
Unveiling the Potential of Robustness in Evaluating Causal Inference Models. CoRR abs/2402.18392 (2024) - 2023
- [c6]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: 3677-3692 - [c5]Xiangqian Sun, Cheuk Hang Leung, Yijun Li, Qi Wu:
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection. AISTATS 2023: 4629-4642 - [i6]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 abs/2305.19499 (2023) - [i5]Yijun Li, Cheuk Hang Leung, Qi Wu:
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity. CoRR abs/2306.09147 (2023) - [i4]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 abs/2312.10388 (2023) - 2022
- [j1]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) - [c4]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: 1-9 - [c3]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: 3-16 - [i3]Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang:
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information. CoRR abs/2209.01956 (2022) - 2021
- [c2]Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang:
The Causal Learning of Retail Delinquency. AAAI 2021: 204-212 - [i2]Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu:
Higher-Order Orthogonal Causal Learning for Treatment Effect. CoRR abs/2103.11869 (2021) - 2020
- [c1]Shumin Ma, Cheuk Hang Leung, Qi Wu, Wei Liu, Nanbo Peng:
Understanding distributional ambiguity via non-robust chance constraint. ICAIF 2020: 42:1-42:8
2010 – 2019
- 2019
- [i1]Qi Wu, Shumin Ma, Cheuk Hang Leung, Wei Liu:
Understanding Distributional Ambiguity via Non-robust Chance Constraint. CoRR abs/1906.01981 (2019)
Coauthor Index
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