| 2026 | ACL | A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage. | Congmin Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu, Weinan Zhang |
| 2026 | ISCAS | Unity-EDR: A Hybrid Neural-Mesh Rendering System for Efficient Visual Synthesis. | Zeyu Zheng, Chaolin Rao, Xiangyu Zhang, Lihua Lu, Xiaohui Zhang, Hui Wei, Xin Lou |
| 2026 | WWW | Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding. | Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar, Zeyu Zheng |
| 2025 | ICML | Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation. | Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng |
| 2025 | KDD | 3rd Workshop on Causal Inference and Machine Learning in Practice. | 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 | KDD | A/B Test and Online Experiment Under Diminishing Marginal Effects: Regret Minimization and Statistical Inference. | Jingxu Xu, Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng |
| 2025 | WSC | Parallel Simulation-Based Prediction in Discrete-Time Discrete-State-Space Markov Chains with GPU Implementation. | Yifu Tang, Peter W. Glynn, Zeyu Zheng |
| 2024 | AISTATS | Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays. | Yifu Tang, Yingfei Wang, Zeyu Zheng |
| 2024 | ICML | Human Alignment of Large Language Models through Online Preference Optimisation. | Daniele Calandriello, Zhaohan Daniel Guo, Rmi Munos, Mark Rowland, Yunhao Tang, Bernardo vila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot |
| 2024 | ICML | Generalized Preference Optimization: A Unified Approach to Offline Alignment. | Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rmi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo vila Pires, Bilal Piot |
| 2024 | KDD | 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, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson |
| 2024 | WSC | A Preliminary Study on Accelerating Simulation Optimization With GPU Implementation. | Jinghai He, Haoyu Liu, Yuhang Wu, Zeyu Zheng, Tingyu Zhu |
| 2024 | WSC | Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents. | Haoyu Liu, Yifu Tang, Zizhao Zhang, Zeyu Zheng, Tingyu Zhu |
| 2024 | WSC | Using Cosimla Within Policy Iteration for Mdps with Large State Spaces. | Yifu Tang, Peter W. Glynn, Zeyu Zheng |
| 2024 | WSC | LLM Enhanced Machine Learning Estimators for Classification. | Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng |
| 2024 | WSC | Enhancing Language Model with Both Human and Artificial Intelligence Feedback Data. | Haoting Zhang, Jinghai He, Jingxu Xu, Jingshen Wang, Zeyu Zheng |
| 2023 | ICML | Understanding Plasticity in Neural Networks. | Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo vila Pires, Razvan Pascanu, Will Dabney |
| 2023 | KDD | 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, Chu Wang, Yingfei Wang, Xinwei Ma |
| 2023 | KDD | 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 |
| 2023 | WSC | A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators. | Dilara Aykanat, Zeyu Zheng, Nian Si |
| 2023 | WSC | Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations. | Peter W. Glynn, Zeyu Zheng |
| 2023 | WSC | Best Arm Identification with Fairness Constraints on Subpopulations. | Yuhang Wu, Zeyu Zheng, Tingyu Zhu |
| 2022 | AAAI | Adaptive Pairwise Weights for Temporal Credit Assignment. | Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh |
| 2022 | KDD | Non-stationary A/B Tests. | Yuhang Wu, Zeyu Zheng, Guangyu Zhang, Zuohua Zhang, Chu Wang |
| 2022 | WSC | Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions. | Zeyu Zheng, Alex Infanger, Peter W. Glynn |
| 2021 | AISTATS | On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. | Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan |
| 2021 | ICML | Dynamic Planning and Learning under Recovering Rewards. | David Simchi-Levi, Zeyu Zheng, Feng Zhu |
| 2021 | WSC | Efficient Computation for Stratified Splitting. | Peter W. Glynn, Zeyu Zheng |
| 2021 | WSC | Instructions for Authors of Papers Using Latex. | Sojung Kim, Ben Feng, Katy Smith, Sara Masoud, Zeyu Zheng |
| 2021 | WSC | Explainable Modeling in Digital Twin. | Lu Wang, Tianhu Deng, Zeyu Zheng, Zuo-Jun Max Shen |
| 2021 | WSC | Neural Network-Assisted Simulation Optimization with Covariates. | Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng |
| 2021 | WSC | Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. | Tingyu Zhu, Zeyu Zheng |
| 2020 | ICML | What Can Learned Intrinsic Rewards Capture? | Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh |
| 2020 | ICML | When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment. | Feng Zhu, Zeyu Zheng |
| 2020 | WSC | Joint Resource Allocation for Input Data Collection and Simulation. | Jingxu Xu, Zeyu Zheng, Peter W. Glynn |
| 2020 | WSC | Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method. | Haoting Zhang, Zeyu Zheng |
| 2019 | WSC | Heterogeneous Assets Market Design. | Yu An, Zeyu Zheng |
| 2019 | WSC | Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend. | Peter W. Glynn, Zeyu Zheng |
| 2018 | WSC | A Scalable Approach to Enhancing stochastic Kriging with Gradients. | Haojun Huo, Xiaowei Zhang, Zeyu Zheng |
| 2018 | WSC | Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. | Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng |
| 2017 | WSC | Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares. | Zeyu Zheng, Peter W. Glynn |
| 2017 | SIGMOD | Parallelizing Sequential Graph Computations. | Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian |
| 2017 | USENIX | Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. | Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing |
| 2016 | WSC | Extensions of the regenerative method to new functionals. | Zeyu Zheng, Peter W. Glynn |
| 2013 | ACL | Extracting Events with Informal Temporal References in Personal Histories in Online Communities. | Miaomiao Wen, Zeyu Zheng, Hyeju Jang, Guang Xiang, Carolyn Penstein Ros |
| 2013 | INFOCOM | Coordinated resource provisioning and maintenance scheduling in cloud data centers. | Zeyu Zheng, Minming Li, Xun Xiao, Jianping Wang |
| 2012 | ICWSM | A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch. | Guang Xiang, Zeyu Zheng, Miaomiao Wen, Jason I. Hong, Carolyn Penstein Ros, Chao Liu |
| 2010 | ICDM | A Novel Contrast Co-learning Framework for Generating High Quality Training Data. | Zeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, Ming Zhang |
| 2010 | SIGIR | A co-learning framework for learning user search intents from rule-generated training data. | Jun Yan, Zeyu Zheng, Li Jiang, Yan Li, Shuicheng Yan, Zheng Chen |
| 2009 | GLOBECOM | ONU Placement in Fiber-Wireless (FiWi) Networks Considering Peer-to-Peer Communications. | Zeyu Zheng, Jianping Wang, Xiumin Wang |
| 2009 | MASS | Almost Optimal Distributed M2M Multicasting in Wireless Mesh Networks. | Qin Xin, Fredrik Manne, Yan Zhang, Jianping Wang, Zeyu Zheng |
| 2006 | PACLIC | A Natural Language Model of Computing with Words in Web Pages. | Zeyu Zheng, Ping Zhang |