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Cheuk Hang Leung

City University of Hong Kong (CityU) - School of Data Science

Kowloon

Hong Kong

  • City University of Hong Kong (CityU) - School of Data Science

SCHOLARLY PAPERS

10

DOWNLOADS

672

TOTAL CITATIONS

2

Scholarly Papers (10)

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1.

Understanding Distributional Ambiguity via Non-Robust Chance Constraint

2020 ACM International Conference on AI in Finance https://arxiv.org/abs/1906.01981
Number of pages: 8 Posted: 14 Jun 2019 Last Revised: 28 Dec 2020
Shumin Ma, Cheuk Hang Leung, Qi Wu, Wei Liu and Nanbo Peng
City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong, School of Data Science, Tecent AI Lab and JD Digits
Downloads 188 (403,391)

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distributionally robust optimization, chance constraint, Kullback-Leibler (KL) divergence, Cressie-Read divergence, portfolio optimization, Heavy-tail distributions, financial risk management

2.

Deep into The Domain Shift: Transfer Learning through Dependence Regularization

Number of pages: 13 Posted: 22 Sep 2022
Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang and Zhixiang Huang
City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU), City University of Hong Kong, School of Data Science, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU), City University of Hong Kong (CityU) - School of Data Science, JD Digits and JD Digits
Downloads 141 (524,371)

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domain adaptation, regularization, domain divergence, copula

3.

Probabilistic Learning of Multivariate Time Series with Temporal Irregularity

Number of pages: 24 Posted: 18 Jun 2023 Last Revised: 15 Feb 2025
Yi jun Li, Cheuk Hang Leung and Qi Wu
University of Electronic Science and Technology of China, School of Management and Economics, City University of Hong Kong (CityU) - School of Data Science and City University of Hong Kong, School of Data Science
Downloads 83 (796,622)

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4.

Robust Causal Learning for the Estimation of Average Treatment Effects

2022 International Joint Conference on Neural Networks (IJCNN 2022 Oral)
Number of pages: 15 Posted: 25 Oct 2022 Last Revised: 02 Jun 2023
Yiyan Huang, Cheuk Hang Leung, Qi Wu, Xing Yan, Shumin Ma, Zhiri Yuan, Dongdong Wang and Zhixiang Huang
City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong, School of Data Science, Renmin University of China, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU), JD Digits and JD Digits
Downloads 73 (852,604)
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Treatment effect estimation, causal inference, economics, healthcare

5.

Towards Balanced Representation Learning for Credit Policy Evaluation

(AISTATS) 2023 Proceedings of the 26th International Conference on Artificial Intelligence and Statistics
Number of pages: 16 Posted: 10 May 2023
Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Zhiri Yuan, Qi Wu, Siyi Wang, Dongdong Wang and Zhixiang Huang
City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU), City University of Hong Kong, School of Data Science, City University of Hong Kong (CityU) - School of Data Science, JD Digits and JD Digits
Downloads 58 (989,921)

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6.

Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information

Number of pages: 14 Posted: 11 Oct 2022
Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang and Zhixiang Huang
City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong, School of Data Science, JD Digits and JD Digits
Downloads 53 (1,041,696)

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Treatment effects, Causal inference, Representation learning

7.

A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection

AISTATS 2023, The 26th International Conference on Artificial Intelligence and Statistics
Number of pages: 14 Posted: 10 May 2023
Xiangqian SUN, Cheuk Hang Leung, Yi jun Li and Qi Wu
City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU) - School of Data Science, University of Electronic Science and Technology of China, School of Management and Economics and City University of Hong Kong, School of Data Science
Downloads 42 (1,157,785)

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8.

Deep into The Domain Shift: Transfer Learning through Dependence Regularization

IEEE Transactions on Neural Networks and Learning Systems
Number of pages: 15 Posted: 14 Jun 2023
Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang and Zhixiang Huang
BNU-HKBU United International College, City University of Hong Kong (CityU), City University of Hong Kong, School of Data Science, City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU), City University of Hong Kong (CityU) - School of Data Science, JD Digits and JD Digits
Downloads 34 (1,304,549)

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domain adaptation, regularization, domain divergence, copula

9.

Distribution-valued Causal Machine Learning: Implications of Credit on Spending Patterns

Posted: 17 Sep 2025
Cheuk Hang Leung, Yi jun Li and Qi Wu
City University of Hong Kong (CityU) - School of Data Science, University of Electronic Science and Technology of China, School of Management and Economics and City University of Hong Kong, School of Data Science

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10.

The Causal Learning of Retail Delinquency

Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)
Posted: 01 Mar 2021
Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang and Zhixiang Huang
City University of Hong Kong (CityU) - School of Data Science, City University of Hong Kong (CityU) - School of Data Science, Renmin University of China, City University of Hong Kong, School of Data Science, JD Digits, JD Digits and JD Digits

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