Students

PhD Students at HKUST

• Zhenghao Li (2026 Spring - )
  Thesis topic: Sequential decision making
  

• Ning Xu (2026 Spring -)
  Thesis topic: Simulator
  

• Weitao Cheng (2025 Fall - )
  Thesis topic: Experimental design and A/B tests
  

• Zijun Chen (2022 Fall -)
  Thesis topic: Reinforcement learning
  Co-advised with Ke Yi
  

Students Current Working with Me

• Hairi Jin (Undergraduate @ USTC)
  Joint project: LLM-assisted causal matching
  Joint work with Jinglong Zhao
  

• Mingyuan Xu (PhD @ NUS)
  Joint project: Group robust MDPs
  Joint work with Doudou Zhou
  

• Xinqi Chen (Undergraduate @ USTC → PhD @ University of California, Berkeley)
  Joint project: Bias Analysis of Experiments for Multi-Item Multi-Period Inventory Control Policies
  Joint work with Zeyu Zheng and Xingyu Bai
  

• Chenyu Zhang (Undergraduate @ BNU → PhD @ University of Illinois Urbana-Champaign)
  Joint project: Debiasing Seller-Side Experiments under Multinomial Logit Models in Two-Sided Platforms
  Joint work with Zeyu Zheng and Yuhang Wu
  

• Nanshan Jia (Undergraduate @ PKU → PhD @ University of California, Berkeley)
  Joint project: Experimental Design for Testing Scheduling Policies in Queueing Networks
  Joint work with Zeyu Zheng and Ramesh Johari
  

• Chenran Weng (Undergraduate @ USTC → PhD @ University of California, Berkeley)
  Joint project: Experimental Design in Live-Interation Platforms
  Joint work with Xiao Lei
  

• Chun Li (PhD @ ChicagoBooth)
  Joint project: Dynamic Pricing for Queueing Networks under Throughput Constraints
  Joint work with Baris Ata
  

• Haoyu Liu (PhD @ University of California, Berkeley)
  Joint project: Incentive-Compative Experiments in Platforms
  Joint work with Zeyu Zheng and Chang liu
  

• Zitao Wang (PhD @ Columbia Stats)
  Joint project 1: Multi-source Stable Variable Importance Measure via Adversarial Machine Learning
  Joint project 2: Knowledge-Guided Wasserstein Distributionally Robust Optimization
  Joint work with Molei Liu and Zijian Guo