Zeyu Zheng - RankMe

52 papers A* 10A 1Misc 13Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms. CoRR Haoting Zhang, Yunduan Lin, Jinghai He, Denglin Jiang, Zuojun Shen, Zeyu Zheng
2025	—	`conf`	3rd Workshop on Causal Inference and Machine Learning in Practice. KDD (2) Jeong-Yoon Lee, Jing Pan, Yifeng Wu, Totte Harinen, Paul Lo, Zhenyu Zhao, Huigang Chen, Sichao Yin, Roland Stevenson, Jingshen Wang, Yingfei Wang, Chu Wang, Zeyu Zheng
2025	J	`jnl`	A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation. Oper. Res. Yufeng Zheng, Zeyu Zheng, Tingyu Zhu
2025	J	`jnl`	A Regeneration-based a Posteriori Error Bound for a Markov Chain Stationary Distribution Truncation Algorithm. CoRR Peter W. Glynn, Zeyu Zheng
2025	J	`jnl`	A Simple and Optimal Policy Design with Safety Against Heavy-Tailed Risk for Stochastic Bandits. Manag. Sci. David Simchi-Levi, Zeyu Zheng, Feng Zhu
2025	—	`conf`	A/B Test and Online Experiment Under Diminishing Marginal Effects: Regret Minimization and Statistical Inference. KDD (2) Jingxu Xu, Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng
2025	J	`jnl`	Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes. INFORMS J. Comput. Haoting Zhang, Donglin Zhan, James Anderson, Rhonda Righter, Zeyu Zheng
2025	—	`conf`	Collaborative Bayesian Optimization via Wasserstein Barycenters. CDC Donglin Zhan, Haoting Zhang, Rhonda Righter, Zeyu Zheng, James Anderson
2025	J	`jnl`	Collaborative Bayesian Optimization via Wasserstein Barycenters. CoRR Donglin Zhan, Haoting Zhang, Rhonda Righter, Zeyu Zheng, James Anderson
2025	J	`jnl`	Controllable Coupled Image Generation via Diffusion Models. CoRR Chenfei Yuan, Nanshan Jia, Hangqi Li, Peter W. Glynn, Zeyu Zheng
2025	J	`jnl`	Nonstationary A/B Tests: Optimal Variance Reduction, Bias Correction, and Valid Inference. Manag. Sci. Yuhang Wu, Zeyu Zheng, Guangyu Zhang, Zuohua Zhang, Chu Wang
2025	J	`jnl`	On Greedy-Like Policies in Online Matching with Reusable Network Resources and Decaying Rewards. Manag. Sci. David Simchi-Levi, Zeyu Zheng, Feng Zhu
2025	J	`jnl`	Stochastic Localization Methods for Convex Discrete Optimization via Simulation. Oper. Res. Haixiang Zhang, Zeyu Zheng, Javad Lavaei
2024	A*	`conf`	2nd Workshop on Causal Inference and Machine Learning in Practice. KDD Jeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson
2024	Misc	`conf`	A Preliminary Study on Accelerating Simulation Optimization With GPU Implementation. WSC Jinghai He, Haoyu Liu, Yuhang Wu, Zeyu Zheng, Tingyu Zhu
2024	J	`jnl`	A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation. CoRR Jinghai He, Haoyu Liu, Yuhang Wu, Zeyu Zheng, Tingyu Zhu
2024	J	`jnl`	Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery. CoRR Jinghai He, Cheng Hua, Yingfei Wang, Zeyu Zheng
2024	J	`jnl`	Daily Physical Activity Monitoring - Adaptive Learning from Multi-source Motion Sensor Data. CoRR Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng
2024	—	`conf`	Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor Data. CHIL Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng
2024	Misc	`conf`	LLM Enhanced Machine Learning Estimators for Classification. WSC Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng
2024	J	`jnl`	Language Model Prompt Selection via Simulation Optimization. CoRR Haoting Zhang, Jinghai He, Rhonda Righter, Zeyu Zheng
2024	J	`jnl`	Large Language Model Enhanced Machine Learning Estimators for Classification. CoRR Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng
2024	A	`conf`	Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays. AISTATS Yifu Tang, Yingfei Wang, Zeyu Zheng
2024	Misc	`conf`	Using Cosimla Within Policy Iteration for Mdps with Large State Spaces. WSC Yifu Tang, Peter W. Glynn, Zeyu Zheng
2023	A*	`conf`	2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. KDD Chu Wang, Yingfei Wang, Haipeng Luo, Daniel R. Jiang, Jinghai He, Zeyu Zheng
2023	Misc	`conf`	Best Arm Identification with Fairness Constraints on Subpopulations. WSC Yuhang Wu, Zeyu Zheng, Tingyu Zhu
2023	J	`jnl`	Best Arm Identification with Fairness Constraints on Subpopulations. CoRR Yuhang Wu, Zeyu Zheng, Tingyu Zhu
2023	A*	`conf`	Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. KDD Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma
2023	A*	`conf`	Contextual Gaussian Process Bandits with Neural Networks. NeurIPS Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Max Shen, Zeyu Zheng
2023	Misc	`conf`	Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations. WSC Peter W. Glynn, Zeyu Zheng
2023	J	`jnl`	Gradient-Based Algorithms for Convex Discrete Optimization via Simulation. Oper. Res. Haixiang Zhang, Zeyu Zheng, Javad Lavaei
2023	J	`jnl`	Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations. INFORMS J. Comput. Jingxu Xu, Zeyu Zheng
2023	J	`jnl`	Immediacy Provision and Matchmaking. Manag. Sci. Yu An, Zeyu Zheng
2023	J	`jnl`	Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. ACM Trans. Model. Comput. Simul. Tingyu Zhu, Haoyu Liu, Zeyu Zheng
2023	A*	`conf`	Non-stationary Experimental Design under Linear Trends. NeurIPS David Simchi-Levi, Chonghuan Wang, Zeyu Zheng
2023	J	`jnl`	Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk. CoRR David Simchi-Levi, Zeyu Zheng, Feng Zhu
2023	A*	`conf`	Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. NeurIPS David Simchi-Levi, Zeyu Zheng, Feng Zhu
2022	A*	`conf`	A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. NeurIPS David Simchi-Levi, Zeyu Zheng, Feng Zhu
2022	J	`jnl`	A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. CoRR David Simchi-Levi, Zeyu Zheng, Feng Zhu
2022	Misc	`conf`	Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions. WSC Zeyu Zheng, Alex Infanger, Peter W. Glynn
2022	A*	`conf`	Non-stationary A/B Tests. KDD Yuhang Wu, Zeyu Zheng, Guangyu Zhang, Zuohua Zhang, Chu Wang
2021	A*	`conf`	Dynamic Planning and Learning under Recovering Rewards. ICML David Simchi-Levi, Zeyu Zheng, Feng Zhu
2021	J	`jnl`	Dynamic Planning and Learning under Recovering Rewards. CoRR David Simchi-Levi, Zeyu Zheng, Feng Zhu
2021	Misc	`conf`	Efficient Computation for Stratified Splitting. WSC Peter W. Glynn, Zeyu Zheng
2021	Misc	`conf`	Explainable Modeling in Digital Twin. WSC Lu Wang, Tianhu Deng, Zeyu Zheng, Zuo-Jun Max Shen
2021	A*	`conf`	Stochastic $L^\natural$-convex Function Minimization. NeurIPS Haixiang Zhang, Zeyu Zheng, Javad Lavaei
2021	J	`jnl`	Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates. Oper. Res. Zeyu Zheng, Harsha Honnappa, Peter W. Glynn
2020	Misc	`conf`	Joint Resource Allocation for Input Data Collection and Simulation. WSC Jingxu Xu, Zeyu Zheng, Peter W. Glynn
2020	Misc	`conf`	Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method. WSC Haoting Zhang, Zeyu Zheng
2019	Misc	`conf`	Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend. WSC Peter W. Glynn, Zeyu Zheng
2017	Misc	`conf`	Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares. WSC Zeyu Zheng, Peter W. Glynn
2016	Misc	`conf`	Extensions of the regenerative method to new functionals. WSC Zeyu Zheng, Peter W. Glynn