👨‍🎓 About Me

I am pursuing a Ph.D. in the Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology. I’m supervised by Prof. Jiheng Zhang, Head of IEDA and Full Professor in IEDA and MATH. I received my Bachelor of Management degree from Lingnan College and my Bachelor of Mathematics from Mathematics School, Sun Yat-sen University in 2020. I am broadly interested in developing sample-efficient and computationally efficient policy learning algorithms for data-driven decision making problems, by leakaging tools from statistics and optimization. I am keen in photographgy, travel and learning languages.

📝 Publications

Preprint

Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation. Zhipeng Liang*, Xiaoteng Ma*, Jose Blanchet, Mingwen Liu, Li Xia, Jiheng Zhang, Qianchuan Zhao, Zhengyuan Zhou

Publication

Single-Trajectory Distributionally Robust Reinforcement Learning. Zhipeng Liang*, Xiaoteng Ma*, Jose Blanchet, Jiheng Zhang, Zhengyuan Zhou, International Conference on Machine Learning (ICML), 2024.
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. Zeyu Cao*, Zhipeng Liang*, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu. SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. Zongbo Han*, Zhipeng Liang*, Fan Yang*, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao. Advances in Neural Information Processing Systems (NeurIPS), 2022. Spotlight
Optimal Private Streaming SCO in $\ell_p$-geometry with Applications in High Dimensional Online Decision Making. Yuxuan Han*, Zhicong Liang*, Zhipeng Liang*, Yuan Yao, Yang Wang, Jiheng Zhang. International Conference on Machine Learning (ICML), 2022.
Generalized Linear Bandits with Local Differential Privacy. Yuxuan Han*, Zhipeng Liang*, Wang Yang, Jiheng Zhang. Advances in Neural Information Processing Systems (NeurIPS), 2021.

👨🏽‍🤝‍👨🏼 Collaborators

Yuxuan Han - PhD Candidate, Department of Mathematics, Hong Kong University of Science and Technology.
Zhicong Liang - PhD Candidate, Department of Mathematics, Hong Kong University of Science and Technology.
Bingzhe Wu - Senior Researcher, Tencent AI Lab.
Zongbo Han - PhD Candidate, Tianjin University
Xiaoteng Ma - PhD Candidate, Department of Automation, Tsinghua University.
Yuan Yao - Professor, Department of Mathematics, Hong Kong University of Science and Technology.
Yang Wang - Chair Professor, Department of Mathematics and IEDA, Hong Kong University of Science and Technology.
Zhengyuan Zhou - Assistant Professor, Stern School of Business, New York University.

🥇 Honors and Awards

2022.05 Redbird Academic Excellent Scholarship, highest honor at HKUST
2020.10 Redbird Scholarship, highest honor at HKUST
2020.06 Outstanding Graduate, SYSU
2020.06 Excellent Bachelor Thesis (in Management Science), SYSU
2020.06 Excellent Bachelor Thesis (in Mathematics), SYSU
2018.10 First-Class Excellence Scholarship, SYSU
2018.10 Samsung Scholarship (Undergraduate), SYSU (Top 1%)
2017.11 First Prize in Chinese Mathematics Modeling (Undergraduate) (Top 0.5%)

📖 Educations

2020.09 - present, Ph.D. Student, Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology.
2017.09 - 2020.06, Bachelor, Mathematics and Applied Mathematics, Sun Yat-sen Univeristy.
2016.09 - 2020.06, Bachelor (Rank 1/56), Management Science, Sun Yat-sen Univeristy.

💻 Internships

2022.08 - 2023.02, Citadel Securties, Hong Kong.
2022.03 - 2022.07, Tencent AI Lab, Shenzhen.
2020.07 - 2020.10, NetEase Games, Guangzhou.

📷 Photography

📞 Contact

Zhipeng Liang

Department of Industrial Engineering and Decision Analytics
Hong Kong University of Science and Technology
Hong Kong, China,
E-mail: zliangao2[AT]mails[DOT]connect[DOT]ust[DOT]hk