Extensions of the regenerative method to new functionals. - Zeyu Zheng 002; Peter W. Glynn (WSC, 2016)

Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares. - Zeyu Zheng 002; Peter W. Glynn (WSC, 2017)

Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend. - Peter W. Glynn; Zeyu Zheng 002 (WSC, 2019)

Joint Resource Allocation for Input Data Collection and Simulation. - Jingxu Xu; Zeyu Zheng 002; Peter W. Glynn (WSC, 2020)

Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method. - Haoting Zhang; Zeyu Zheng 002 (WSC, 2020)

Dynamic Planning and Learning under Recovering Rewards. - David Simchi-Levi; Zeyu Zheng 002; Feng Zhu (ICML, 2021)

Stochastic $L^ atural$-convex Function Minimization. - Haixiang Zhang 002; Zeyu Zheng 002; Javad Lavaei (NeurIPS, 2021)

Efficient Computation for Stratified Splitting. - Peter W. Glynn; Zeyu Zheng 002 (WSC, 2021)

Explainable Modeling in Digital Twin. - Lu Wang; Tianhu Deng; Zeyu Zheng 002; Zuo-Jun Max Shen (WSC, 2021)

Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates. - Zeyu Zheng 002; Harsha Honnappa; Peter W. Glynn (Oper. Res., 2021)

A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. - David Simchi-Levi; Zeyu Zheng 002; Feng Zhu (NeurIPS, 2022)

Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions. - Zeyu Zheng 002; Alex Infanger; Peter W. Glynn (WSC, 2022)

Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. - Jeong-Yoon Lee; Yifeng Wu; Keith Battocchi; Fabio Vera; Zhenyu Zhao; Totte Harinen; Jing Pan; Huigang Chen; Zeyu Zheng 002; Chu Wang; Yingfei Wang; Xinwei Ma (KDD, 2023)

2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. - Chu Wang; Yingfei Wang; Haipeng Luo; Daniel R. Jiang; Jinghai He; Zeyu Zheng 002 (KDD, 2023)

Non-stationary Experimental Design under Linear Trends. - David Simchi-Levi; Chonghuan Wang; Zeyu Zheng 002 (NeurIPS, 2023)

Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. - David Simchi-Levi; Zeyu Zheng 002; Feng Zhu (NeurIPS, 2023)

Contextual Gaussian Process Bandits with Neural Networks. - Haoting Zhang; Jinghai He; Rhonda Righter; Zuo-Jun Max Shen; Zeyu Zheng 002 (NeurIPS, 2023)

Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations. - Peter W. Glynn; Zeyu Zheng 002 (WSC, 2023)

Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk. - David Simchi-Levi; Zeyu Zheng 002; Feng Zhu (CoRR, 2023)

Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations. - Jingxu Xu; Zeyu Zheng 002 (INFORMS J. Comput., 2023)

Gradient-Based Algorithms for Convex Discrete Optimization via Simulation. - Haixiang Zhang 002; Zeyu Zheng 002; Javad Lavaei (Oper. Res., 2023)

Immediacy Provision and Matchmaking. - Yu An; Zeyu Zheng 002 (Manag. Sci., 2023)

Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. - Tingyu Zhu; Haoyu Liu; Zeyu Zheng 002 (ACM Trans. Model. Comput. Simul., 2023)

Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor Data. - Haoting Zhang; Donglin Zhan; Yunduan Lin; Jinghai He; Qing Zhu; Zuo-Jun Max Shen; Zeyu Zheng 002 (CHIL, 2024)

2nd Workshop on Causal Inference and Machine Learning in Practice. - Jeong-Yoon Lee; Yifeng Wu; Totte Harinen; Jing Pan; Paul Lo; Zhenyu Zhao; Huigang Chen; Zeyu Zheng 002; Hasta Vanchinathan; Yingfei Wang; Roland Stevenson (KDD, 2024)

Using Cosimla Within Policy Iteration for Mdps with Large State Spaces. - Yifu Tang; Peter W. Glynn; Zeyu Zheng 002 (WSC, 2024)

Language Model Prompt Selection via Simulation Optimization. - Haoting Zhang; Jinghai He; Rhonda Righter; Zeyu Zheng 002 (CoRR, 2024)

Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes. - Haoting Zhang; Donglin Zhan; James Anderson 001; Rhonda Righter; Zeyu Zheng 002 (INFORMS J. Comput., 2025)

Stochastic Localization Methods for Convex Discrete Optimization via Simulation. - Haixiang Zhang 002; Zeyu Zheng 002; Javad Lavaei (Oper. Res., 2025)

A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation. - Yufeng Zheng; Zeyu Zheng 002; Tingyu Zhu (Oper. Res., 2025)

A Simple and Optimal Policy Design with Safety Against Heavy-Tailed Risk for Stochastic Bandits. - David Simchi-Levi; Zeyu Zheng 002; Feng Zhu (Manag. Sci., 2025)

On Greedy-Like Policies in Online Matching with Reusable Network Resources and Decaying Rewards. - David Simchi-Levi; Zeyu Zheng 002; Feng Zhu (Manag. Sci., 2025)

Nonstationary A/B Tests: Optimal Variance Reduction, Bias Correction, and Valid Inference. - Yuhang Wu; Zeyu Zheng 002; Guangyu Zhang; Zuohua Zhang; Chu Wang (Manag. Sci., 2025)

Collaborative Bayesian Optimization via Wasserstein Barycenters. - Donglin Zhan; Haoting Zhang; Rhonda Righter; Zeyu Zheng 002; James Anderson 001 (CoRR, 2025)

A Regeneration-based a Posteriori Error Bound for a Markov Chain Stationary Distribution Truncation Algorithm. - Peter W. Glynn; Zeyu Zheng 002 (CoRR, 2025)

Controllable Coupled Image Generation via Diffusion Models. - Chenfei Yuan; Nanshan Jia; Hangqi Li; Peter W. Glynn; Zeyu Zheng 002 (CoRR, 2025)