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Invited Talks
Statistical Analysis of Interleaving Designs in A/B Tests
NSFC Workshop for Young Scientists Fund (Category C) Projects in Management Science and Engineering, Wuhu, September 2026.
International Conference on Econometrics and Statistics (EcoSta), Kyoto, Japan, August 2026.
NUS-PKU Statistics and Data Science Forum, Beijing, July 2026.
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Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
Workshop on Robust Optimization Methodology and Applications, Shenzhen, August 2026.
A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
International Conference on Frontiers of Data Science, Hangzhou, May 2026.
16th POMS-HK International Conference, Shenzhen, January 2026.
Evaluation of Queueing Scheduling and LLM Inference via Stability Conditions and A/B Tests
Data-driven Techniques in Operations Research Workshop (DDTOR), Shenzhen, November 2025.
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), Phuket, Thailand, May 2025.
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Statistical Analysis of Wasserstein Distributionally Robust Estimators
Seminar of Department of Statistics, CUHK, November 2024.
Seminar of Department of Statistics and Finance, USTC, November 2025.
Experimentation for Different Scheduling Policies on Queues: Mixed Differences-in-Q Estimators Based on Little's Law
INFORMS Annual Meeting, Seattle, October 2024.
Debiasing Seller-Side Experiments via Multinomial Logit Models in Two-Sided Platforms
Conference on Digital Experimentation (CODE), Cambridge, Massachusetts, October 2024.
INFORMS Revenue Management and Pricing Section Conference, July 2025.
Robust Contracts in Experiment-Driven Companies: Screening through Incentive Alignment
International Conference of the Chinese Scholars Association for Management Science and Engineering (CSAMSE), July 2024.
2024 CCF Annual Meeting on Computational Economics, July 2024.
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
International Conference on Econometrics and Statistics (EcoSta), Tokyo, Japan, August 2025.
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), Phuket, Thailand, May 2025.
International Conference on Frontiers of Data Science, Hangzhou, July 2024.
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Experimental Design for Live-Interaction Platforms
Stanford Student OR Seminar, March 2024.
Chicago Booth Postdoc OR-STATS Seminar, May 2024.
INFORMS MSOM 2024 Conference, June 2024.
Seminar of Department of Management Science and Engineering, Tsinghua University, November 2024.
Seminar of Department of Logistics and Maritime Studies, PolyU, April 2025.
Seminar of Department of Management Science, SJTU, April 2025.
Seminar of Department of Business Statistics and Econometrics, PKU, May 2025.
ISI World Statistics Congress, The Hague, Netherlands, October 2025.
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On the Foundation of Distributionally Robust Reinforcement Learning
INFORMS Optimization Society (IOS) Conference, March 2024.
New Perspectives on Data Science with Imperfect Data, November 2023.
SEEM Seminar Series, CUHK, February 2025.
Seminar of Department of Management Science, UCAS, June 2025.
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Interference by Feedback Loops: Challenges in the Counterfactual Interleaving Design
Conference on Digital Experimentation (CODE), November 2023.
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Expansion of Interference w.r.t. Tightness and a Linear Regression Estimator for Multiple Two-Sided Randomizations
International Conference of the Chinese Scholars Association for Management Science and Engineering (CSAMSE), July 2023.
INFORMS Annual Meeting, October 2023.
Drift Control of High-Dimensional RBM: A Computational Method Based on Neural Networks
SIAM Conference on Optimization (OP23), June 2023.
INFORMS Applied Probability Society Conference (APS), June 2023.
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Optimal Transport in Data Science: Theory and Applications
Statistics Seminar, Guanghua School of Management, PKU, October 2022.
Seminar on Data Science and Applied Mathematics, Department of Mathematics, HKUST, April 2023.
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A/B Tests Under a Safety Budget: A Simulation-Optimization Point of View
INFORMS Annual Meeting, October 2022.
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Distributionally Robust Batch Contextual Bandits
INFORMS Annual Meeting, October 2021.
The Thirteenth International Conference of the Chinese Scholars Association for Management Science and Engineering (CSAMSE), July 2021.
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Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
INFORMS Annual Meeting, November 2020.
International Conference on Machine Learning (ICML), July 2020.
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Efficient Steady-state Simulation of High-dimensional Stochastic Networks
INFORMS Annual Meeting, November 2020.
Stochastic Systems Seminar, May 2023.
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Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
Neural Information Processing Systems (NeurIPS), December 2020.
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Confidence Regions in Wasserstein Distributionally Robust Estimation
INFORMS Annual Meeting, October 2019.
International Conference on Continuous Optimization (ICCOPT), August 2019.
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