Zeyu Zheng

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 92

Top Venues

Publications

Yifu Tang, Yingfei Wang, Zeyu Zheng
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays. AISTATS (2024)
Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng
Daily Physical Activity Monitoring - Adaptive Learning from Multi-source Motion Sensor Data. CoRR (2024)
Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Yuan Cao, Eugene Tarassov, Rémi Munos, Bernardo Ávila Pires, Michal Valko, Yong Cheng, Will Dabney
Understanding the performance gap between online and offline alignment algorithms. CoRR (2024)
Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rémi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Ávila Pires, Bilal Piot
Generalized Preference Optimization: A Unified Approach to Offline Alignment. CoRR (2024)
Zhi Liu, Jiaxi Yang, Kui Chen, Tao Yang, Xiaochen Li, Bingjie Lu, Dianzheng Fu, Zeyu Zheng, Changyong Luo
TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine. IEEE Internet Things J. 11 (11) (2024)
Jeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson
2nd Workshop on Causal Inference and Machine Learning in Practice. KDD (2024)
Daniele Calandriello, Daniel Guo, Rémi Munos, Mark Rowland, Yunhao Tang, Bernardo Ávila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot
Human Alignment of Large Language Models through Online Preference Optimisation. CoRR (2024)
Jinghai He, Cheng Hua, Yingfei Wang, Zeyu Zheng
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery. CoRR (2024)
Haoting Zhang, Jinghai He, Rhonda Righter, Zeyu Zheng
Language Model Prompt Selection via Simulation Optimization. CoRR (2024)
Tibor Jordán, Robin Huang, Henry Simmons, Kaylee Weatherspoon, Zeyu Zheng
Four-regular graphs with extremal rigidity properties. Discret. Math. 347 (4) (2024)
Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney
Normalization and effective learning rates in reinforcement learning. CoRR (2024)
Jinghai He, Haoyu Liu, Yuhang Wu, Zeyu Zheng, Tingyu Zhu
A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation. CoRR (2024)
Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney
Disentangling the Causes of Plasticity Loss in Neural Networks. CoRR (2024)
Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng
Large Language Model Enhanced Machine Learning Estimators for Classification. CoRR (2024)
Zhihao Wang, Zhao Qing, Zeyu Zheng, Zhiheng Xiong, Luyun Lai, Yu Sun
Prediction of Empathy Induced by Synthesized Speech using Hilbert Marginal Spectrum Analysis. ICBEA (2023)
Jingxu Xu, Zeyu Zheng
Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations. INFORMS J. Comput. 35 (3) (2023)
Yu An, Zeyu Zheng
Immediacy Provision and Matchmaking. Manag. Sci. 69 (2) (2023)
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
Understanding plasticity in neural networks. CoRR (2023)
Dilara Aykanat, Zeyu Zheng, Nian Si
A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators. WSC (2023)
Logan Post, Zeyu Zheng
Common Kings of a Chain of Cycles in a Strong Tournament. Graphs Comb. 39 (4) (2023)
Tingyu Zhu, Haoyu Liu, Zeyu Zheng
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. ACM Trans. Model. Comput. Simul. 33 (3) (2023)
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
Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. KDD (2023)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. NeurIPS (2023)
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation. Oper. Res. 71 (5) (2023)
Yuhang Wu, Zeyu Zheng, Tingyu Zhu
Best Arm Identification with Fairness Constraints on Subpopulations. WSC (2023)
Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Max Shen, Zeyu Zheng
Contextual Gaussian Process Bandits with Neural Networks. NeurIPS (2023)
Yuhang Wu, Zeyu Zheng, Tingyu Zhu
Best Arm Identification with Fairness Constraints on Subpopulations. CoRR (2023)
Chu Wang, Yingfei Wang, Haipeng Luo, Daniel Jiang, Jinghai He, Zeyu Zheng
2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. KDD (2023)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk. CoRR (2023)
Peter W. Glynn, Zeyu Zheng
Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations. WSC (2023)
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
Understanding Plasticity in Neural Networks. ICML (2023)
David Simchi-Levi, Chonghuan Wang, Zeyu Zheng
Non-stationary Experimental Design under Linear Trends. NeurIPS (2023)
Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI (2022)
Zhi Liu, Changyong Luo, Dianzheng Fu, Jun Gui, Zeyu Zheng, Liang Qi, Haojian Guo
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge. Artif. Intell. Medicine 124 (2022)
Gang Cen, Zeping Yang, Yuefeng Cen, Zeyu Zheng
Research on the Form of "Four-Steps" Open Project Practical Teaching Activities. ICCSE (3) (2022)
Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh
GrASP: Gradient-Based Affordance Selection for Planning. CoRR (2022)
Yuhang Wu, Zeyu Zheng, Guangyu Zhang, Zuohua Zhang, Chu Wang
Non-stationary A/B Tests. KDD (2022)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. NeurIPS (2022)
Tianyi Lin, Zeyu Zheng, Michael I. Jordan
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. NeurIPS (2022)
Chaoliang Tang, Hehui Wu, Shengtong Zhang, Zeyu Zheng
On the Turán Number of the Linear $3$-Graph $C_{13}$. Electron. J. Comb. 29 (3) (2022)
Zeyu Zheng, Alex Infanger, Peter W. Glynn
Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions. WSC (2022)
Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR (2022)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. CoRR (2022)
Tianyi Lin, Zeyu Zheng, Michael I. Jordan
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. CoRR (2022)
Sojung Kim, Ben Feng, Katy Smith, Sara Masoud, Zeyu Zheng
Instructions for Authors of Papers Using Latex. WSC (2021)
Nan Yang, Zeyu Zheng, MengChu Zhou, Xiwang Guo, Liang Qi, Tianran Wang
A Domain-Guided Noise-Optimization-Based Inversion Method for Facial Image Manipulation. IEEE Trans. Image Process. 30 (2021)
Zeyu Zheng, Harsha Honnappa, Peter W. Glynn
Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates. Oper. Res. 69 (5) (2021)
Tingyu Zhu, Zeyu Zheng
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. WSC (2021)
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
Learning State Representations from Random Deep Action-conditional Predictions. CoRR (2021)
Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. AISTATS (2021)
Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng
Neural Network-Assisted Simulation Optimization with Covariates. WSC (2021)
Peter W. Glynn, Zeyu Zheng
Efficient Computation for Stratified Splitting. WSC (2021)
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
Stochastic $L^\natural$-convex Function Minimization. NeurIPS (2021)
Lu Wang, Tianhu Deng, Zeyu Zheng, Zuo-Jun Max Shen
Explainable Modeling in Digital Twin. WSC (2021)
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS (2021)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Dynamic Planning and Learning under Recovering Rewards. ICML (2021)
Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo
Automated multi-layer optical design via deep reinforcement learning. Mach. Learn. Sci. Technol. 2 (2) (2021)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Dynamic Planning and Learning under Recovering Rewards. CoRR (2021)
Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
Pairwise Weights for Temporal Credit Assignment. CoRR (2021)
Yufeng Zheng, Yunkai Zhang, Zeyu Zheng
Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization. CoRR (2021)
Ying Zang, Chunpeng Fan, Zeyu Zheng, Dongsheng Yang
Pose estimation at night in infrared images using a lightweight multi-stage attention network. Signal Image Video Process. 15 (8) (2021)
Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. CoRR (2020)
Yang Fu, Zeyu Zheng, Mengchu Zhou, Haitao Yuan, Xiwang Guo
New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale. IEEE Access 8 (2020)
Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
What Can Learned Intrinsic Rewards Capture? ICML (2020)
Qingfeng Yao, Zeyu Zheng, Liang Qi, Haitao Yuan, Xiwang Guo, Ming Zhao, Zhi Liu, Tianji Yang
Path Planning Method With Improved Artificial Potential Field - A Reinforcement Learning Perspective. IEEE Access 8 (2020)
Feng Zhu, Zeyu Zheng
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment. ICML (2020)
Tianji Yang, Zeyu Zheng, Liang Qi
A method for degradation prediction based on Hidden semi-Markov models with mixture of Kernels. Comput. Ind. 122 (2020)
Nan Yang, Yuanye Xu, Zeyu Zheng, Liang Qi, Xiwang Guo, Tianran Wang
Generating and Editing Arbitrary Facial Images by Learning Feature Axis. IEEE Access 8 (2020)
Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo
Automated Optical Multi-layer Design via Deep Reinforcement Learning. CoRR (2020)
Yufeng Zheng, Zeyu Zheng
Doubly Stochastic Generative Arrivals Modeling. CoRR (2020)
Jingxu Xu, Zeyu Zheng, Peter W. Glynn
Joint Resource Allocation for Input Data Collection and Simulation. WSC (2020)
Haoting Zhang, Zeyu Zheng
Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method. WSC (2020)
Qingfeng Yao, Tianji Yang, Zhi Liu, Zeyu Zheng
Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural Networks. ICPHM (2019)
Peter W. Glynn, Zeyu Zheng
Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend. WSC (2019)
Qixuan Zhang, Bowen Xu, Haotian Jing, Zeyu Zheng
Ques-Chain: an Ethereum Based E-Voting System. CoRR (2019)
Zhi Liu, Zeyu Zheng, Xiwang Guo, Liang Qi, Jun Gui, Dianzheng Fu, Qingfeng Yao, Luyao Jin
AttentiveHerb: A Novel Method for Traditional Medicine Prescription Generation. IEEE Access 7 (2019)
Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
What Can Learned Intrinsic Rewards Capture? CoRR (2019)
Yu An, Zeyu Zheng
Heterogeneous Assets Market Design. WSC (2019)
Nan Yang, Zeyu Zheng, Tianran Wang
Model Loss and Distribution Analysis of Regression Problems in Machine Learning. ICMLC (2019)
Zeyu Zheng, Junhyuk Oh, Satinder Singh
On Learning Intrinsic Rewards for Policy Gradient Methods. CoRR (2018)
Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng
Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. WSC (2018)
Zeyu Zheng, Junhyuk Oh, Satinder Singh
On Learning Intrinsic Rewards for Policy Gradient Methods. NeurIPS (2018)
Haojun Huo, Xiaowei Zhang, Zeyu Zheng
A Scalable Approach to Enhancing stochastic Kriging with Gradients. WSC (2018)
Hui Chen, Zeyu Zheng, Qiurui Chen, Lanjiang Yang, Xingnan Chen, Shijue Zheng
The Application Research of AlphaGo Double Decision System in Network Bad Information Recognition. ICIC (3) (2018)
Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian
Parallelizing Sequential Graph Computations. SIGMOD Conference (2017)
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR (2017)
Zeyu Zheng, Karen Ruggiero
Using machine learning to predict obesity in high school students. BIBM (2017)
Zeyu Zheng, Peter W. Glynn
Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares. WSC (2017)
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX Annual Technical Conference (2017)
Zeyu Zheng, Peter W. Glynn
Extensions of the regenerative method to new functionals. WSC (2016)
Xi Chen, Jianwei Li, Zeyu Zheng, Tianran Wang
Degree of Integration into Social Networks (DISN) Evaluation Model Based on Micro-Blogging Platforms and Information Dissemination Prediction. CIT (2016)
Yiming Tong, Zeyu Zheng, Dianzheng Fu, Yang Fu, Shuai Li
A Cloud Computing Platform for Data Analysis Based on R Cluster. CyberC (2016)
Yonglai Zhang, Xiaofeng Zhou, Haibo Shi, Zeyu Zheng, Shuai Li
Corrosion pitting damage detection of rolling bearings using data mining techniques. Int. J. Model. Identif. Control. 24 (3) (2015)
Xiaofeng Zhou, Yonglai Zhang, Mingrui Shi, Haibo Shi, Zeyu Zheng
Early detection of liver disease using data visualisation and classification method. Biomed. Signal Process. Control. 11 (2014)
Zeyu Zheng, Jinfan Wang, Jing Ren, Weigang Hou, Jianping Wang
Least Maintenance Batch Scheduling in Cloud Data Center Networks. IEEE Commun. Lett. 18 (6) (2014)
Xiangguang Zhang, Zeyu Zheng, Ichio Asanuma, Yongsheng Xu
A new kind of hybrid filter based on the intersecting cortical model and the improved Extremum-and-Median filter. Artif. Life Robotics 19 (2) (2014)
Zeyu Zheng, Minming Li, Xun Xiao, Jianping Wang
Coordinated resource provisioning and maintenance scheduling in cloud data centers. INFOCOM (2013)
Weigang Hou, Lei Guo, Zeyu Zheng, Xu Zhang
Green Grooming in a More Realistic and Multidomain Optical Network. JOCN 5 (8) (2013)
Miaomiao Wen, Zeyu Zheng, Hyeju Jang, Guang Xiang, Carolyn Penstein Rosé
Extracting Events with Informal Temporal References in Personal Histories in Online Communities. ACL (2) (2013)
Weigang Hou, Lei Guo, Zeyu Zheng
On routing and aggregation of many-to-many sessions over green WDM optical networks. ICC (2013)

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Publication Activity (10 Years)

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Zeyu Zheng