Zhengyuan Zhou

175 papers A* 31A 4B 6C 11Misc 3Journal 102Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers. CoRR Jingkai Huang, Will Ma, Zhengyuan Zhou
2026	J	`jnl`	Robust Assortment Optimization from Observational Data. CoRR Miao Lu, Yuxuan Han, Han Zhong, Zhengyuan Zhou, Jose H. Blanchet
2026	J	`jnl`	Sensitivity Analysis Under the Oper. Res. Ying Jin, Zhimei Ren, Zhengyuan Zhou
2026	J	`jnl`	Surface-based Molecular Design with Multi-modal Flow Matching. CoRR Fang Wu, Zhengyuan Zhou, Shuting Jin, Xiangxiang Zeng, Jure Leskovec, Jinbo Xu
2025	J	`jnl`	Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback. Oper. Res. Michael I. Jordan, Tianyi Lin, Zhengyuan Zhou
2025	J	`jnl`	Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration. CoRR Yan Chen, Qinxun Bai, Yiteng Zhang, Shi Dong, Maria Dimakopoulou, Qi Sun, Zhengyuan Zhou
2025	A*	`conf`	Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration. ICML Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong, Qi Sun, Zhengyuan Zhou
2025	J	`jnl`	DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty. CoRR Mingxuan Cui, Duo Zhou, Yuxuan Han, Grani A. Hanasusanto, Qiong Wang, Huan Zhang, Zhengyuan Zhou
2025	J	`jnl`	DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning. J. Artif. Intell. Res. Xiaoteng Ma, Junyao Chen, Li Xia, Jun Yang, Qianchuan Zhao, Zhengyuan Zhou
2025	J	`jnl`	Digital Technological Diversity: The Root Cause of Export Vulnerability for Enterprises in Adversity? J. Theor. Appl. Electron. Commer. Res. Dan Rong, Lei Wang, Zhengyuan Zhou
2025	A*	`conf`	Distributionally Robust Policy Learning under Concept Drifts. ICML Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou
2025	J	`jnl`	Doubly Optimal No-Regret Online Learning in Strongly Monotone Games with Bandit Feedback. Oper. Res. Wenjia Ba, Tianyi Lin, Jiawei Zhang, Zhengyuan Zhou
2025	J	`jnl`	Dual-Dimensional Digital Transformation Systematically Reshapes the U-Curve of Knowledge and Political Distance on Subsidiary Exit. Syst. Zhengyuan Zhou, Lei Wang
2025	J	`jnl`	Functional Critic Modeling for Provably Convergent Off-Policy Actor-Critic. CoRR Qinxun Bai, Yuxuan Han, Wei Xu, Zhengyuan Zhou
2025	A*	`conf`	Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization. ICML Zijian Liu, Zhengyuan Zhou
2025	J	`jnl`	Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization. CoRR Zijian Liu, Zhengyuan Zhou
2025	J	`jnl`	Joint Value Estimation and Bidding in Repeated First-Price Auctions. CoRR Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
2025	J	`jnl`	Learning an Optimal Assortment Policy under Observational Data. CoRR Yuxuan Han, Han Zhong, Miao Lu, Jose H. Blanchet, Zhengyuan Zhou
2025	J	`jnl`	Learning to Bid in Non-Stationary Repeated First-Price Auctions. CoRR Zihao Hu, Xiaoyu Fan, Yuan Yao, Jiheng Zhang, Zhengyuan Zhou
2025	A*	`conf`	Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping. ICLR Zijian Liu, Zhengyuan Zhou
2025	J	`jnl`	Optimal Arm Elimination Algorithms for Combinatorial Bandits. CoRR Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
2025	J	`jnl`	Optimal Diagonal Preconditioning. Oper. Res. Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou
2025	J	`jnl`	Optimal No-Regret Learning in Repeated First-Price Auctions. Oper. Res. Yanjun Han, Tsachy Weissman, Zhengyuan Zhou
2025	A	`conf`	Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces. AISTATS Shengbo Wang, Nian Si, Jose H. Blanchet, Zhengyuan Zhou
2025	—	`conf`	Surface-based Molecular Design with Multi-modal Flow Matching. KDD (2) Fang Wu, Zhengyuan Zhou, Shuting Jin, Xiangxiang Zeng, Jure Leskovec, Jinbo Xu
2025	J	`jnl`	TIGC-Net: Transformer-Improved Graph Convolution Network for spatio-temporal prediction. Biomed. Signal Process. Control. Kai Chen, Zhengyuan Zhou, Yao Liu, Tianjiao Ji, Weiya Sun, Chunfeng Yang, Yang Chen, Xiao Lu
2024	A*	`conf`	Adaptively Learning to Select-Rank in Online Platforms. ICML Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou
2024	J	`jnl`	Adaptively Learning to Select-Rank in Online Platforms. CoRR Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou
2024	J	`jnl`	Delay-Adaptive Learning in Generalized Linear Contextual Bandits. Math. Oper. Res. José H. Blanchet, Renyuan Xu, Zhengyuan Zhou
2024	J	`jnl`	Distributionally Robust Policy Learning under Concept Drifts. CoRR Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou
2024	J	`jnl`	Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits. Manag. Sci. Zhimei Ren, Zhengyuan Zhou
2024	A	`conf`	Feasible Q-Learning for Average Reward Reinforcement Learning. AISTATS Ying Jin, Ramki Gummadi, Zhengyuan Zhou, Jose H. Blanchet
2024	J	`jnl`	Global texture sensitive convolutional transformer for medical image steganalysis. Multim. Syst. Zhengyuan Zhou, Kai Chen, Dianlin Hu, Huazhong Shu, Gouenou Coatrieux, Jean-Louis Coatrieux, Yang Chen
2024	J	`jnl`	Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies. Manag. Sci. Boxiao Chen, Jiashuo Jiang, Jiawei Zhang, Zhengyuan Zhou
2024	J	`jnl`	Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping. CoRR Zijian Liu, Zhengyuan Zhou
2024	A*	`conf`	On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity. ICML Junyi Fan, Yuxuan Han, Zijian Liu, Jian-Feng Cai, Yang Wang, Zhengyuan Zhou
2024	A*	`conf`	On the Last-Iterate Convergence of Shuffling Gradient Methods. ICML Zijian Liu, Zhengyuan Zhou
2024	J	`jnl`	On the Last-Iterate Convergence of Shuffling Gradient Methods. CoRR Zijian Liu, Zhengyuan Zhou
2024	J	`jnl`	Policy Learning with Adaptively Collected Data. Manag. Sci. Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou
2024	J	`jnl`	RED-Net: Residual and Enhanced Discriminative Network for Image Steganalysis in the Internet of Medical Things and Telemedicine. IEEE J. Biomed. Health Informatics Kai Chen, Zhengyuan Zhou, Yuchen Li, Xu Ji, Jiasong Wu, Jean-Louis Coatrieux, Yang Chen, Gouenou Coatrieux
2024	A*	`conf`	Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods. ICLR Zijian Liu, Zhengyuan Zhou
2024	J	`jnl`	Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning. J. Mach. Learn. Res. Shengbo Wang, Nian Si, Jose H. Blanchet, Zhengyuan Zhou
2024	J	`jnl`	Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions. CoRR Yu Xia, Sriram Narayanamoorthy, Zhengyuan Zhou, Joshua Mabry
2024	A*	`conf`	Single-Trajectory Distributionally Robust Reinforcement Learning. ICML Zhipeng Liang, Xiaoteng Ma, José H. Blanchet, Jun Yang, Jiheng Zhang, Zhengyuan Zhou
2024	J	`jnl`	Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces. CoRR Shengbo Wang, Nian Si, Jose H. Blanchet, Zhengyuan Zhou
2024	A*	`conf`	Stochastic contextual bandits with graph feedback: from independence number to MAS number. NeurIPS Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
2024	J	`jnl`	Stochastic contextual bandits with graph feedback: from independence number to MAS number. CoRR Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
2024	J	`jnl`	Tensor Recovery With Weighted Tensor Average Rank. IEEE Trans. Neural Networks Learn. Syst. Xiaoqin Zhang, Jingjing Zheng, Li Zhao, Zhengyuan Zhou, Zhouchen Lin
2023	A	`conf`	A Finite Sample Complexity Bound for Distributionally Robust Q-learning. AISTATS Shengbo Wang, Nian Si, José H. Blanchet, Zhengyuan Zhou
2023	J	`jnl`	A Finite Sample Complexity Bound for Distributionally Robust Q-learning. CoRR Shengbo Wang, Nian Si, Jose H. Blanchet, Zhengyuan Zhou
2023	J	`jnl`	A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg. J. Artif. Intell. Res. Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou
2023	J	`jnl`	Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback. CoRR Michael I. Jordan, Tianyi Lin, Zhengyuan Zhou
2023	A*	`conf`	Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise. COLT Zijian Liu, Jiawei Zhang, Zhengyuan Zhou
2023	J	`jnl`	Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise. CoRR Zijian Liu, Jiawei Zhang, Zhengyuan Zhou
2023	J	`jnl`	Distributionally Robust Batch Contextual Bandits. Manag. Sci. Nian Si, Fan Zhang, Zhengyuan Zhou, Jose H. Blanchet
2023	J	`jnl`	Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction. CoRR Zijian Liu, Perry Dong, Srikanth Jagabathula, Zhengyuan Zhou
2023	J	`jnl`	Offline Multi-Action Policy Learning: Generalization and Optimization. Oper. Res. Zhengyuan Zhou, Susan Athey, Stefan Wager
2023	J	`jnl`	On the Foundation of Distributionally Robust Reinforcement Learning. CoRR Shengbo Wang, Nian Si, Jose H. Blanchet, Zhengyuan Zhou
2023	J	`jnl`	Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods. CoRR Zijian Liu, Zhengyuan Zhou
2023	J	`jnl`	Sample Complexity of Variance-reduced Distributionally Robust Q-learning. CoRR Shengbo Wang, Nian Si, Jose H. Blanchet, Zhengyuan Zhou
2023	J	`jnl`	Single-Trajectory Distributionally Robust Reinforcement Learning. CoRR Zhipeng Liang, Xiaoteng Ma, Jose H. Blanchet, Jiheng Zhang, Zhengyuan Zhou
2023	J	`jnl`	Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises. CoRR Zijian Liu, Zhengyuan Zhou
2023	J	`jnl`	Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin
2022	J	`jnl`	Batched Learning in Generalized Linear Contextual Bandits With General Decision Sets. IEEE Control. Syst. Lett. Zhimei Ren, Zhengyuan Zhou, Jayant R. Kalagnanam
2022	J	`jnl`	Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. J. Artif. Intell. Res. Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
2022	J	`jnl`	Distributed Stochastic Optimization with Large Delays. Math. Oper. Res. Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
2022	J	`jnl`	Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation. CoRR Xiaoteng Ma, Zhipeng Liang, Jose H. Blanchet, Mingwen Liu, Li Xia, Jiheng Zhang, Qianchuan Zhao, Zhengyuan Zhou
2022	A*	`conf`	Distributionally Robust Q-Learning. ICML Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou
2022	A*	`conf`	Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning. ICML Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou
2022	J	`jnl`	Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning. CoRR Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou
2022	J	`jnl`	Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies. CoRR Boxiao Chen, Jiashuo Jiang, Jiawei Zhang, Zhengyuan Zhou
2022	A*	`conf`	Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. NeurIPS Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
2022	J	`jnl`	Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. CoRR Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
2022	J	`jnl`	No Weighted-Regret Learning in Adversarial Bandits with Delays. J. Mach. Learn. Res. Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, José H. Blanchet
2022	J	`jnl`	Optimal Diagonal Preconditioning: Theory and Practice. CoRR Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou
2022	J	`jnl`	Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States. J. Mach. Learn. Res. Shi Dong, Benjamin Van Roy, Zhengyuan Zhou
2022	J	`jnl`	Smart Greedy Distributed Energy Allocation: A Random Games Approach. IEEE Trans. Autom. Control. Ilai Bistritz, Andrew Ward, Zhengyuan Zhou, Nicholas Bambos
2022	A*	`conf`	Society of Agents: Regret Bounds of Concurrent Thompson Sampling. NeurIPS Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou
2021	C	`conf`	Batched Learning in Generalized Linear Contextual Bandits with General Decision Sets. ACC Zhimei Ren, Zhengyuan Zhou, Jayant R. Kalagnanam
2021	J	`jnl`	Computational Benefits of Intermediate Rewards for Hierarchical Planning. CoRR Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
2021	J	`jnl`	Distributed stochastic optimization with large delays. CoRR Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
2021	J	`jnl`	Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits. CoRR Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou
2021	A	`conf`	Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning. AISTATS Zhengqing Zhou, Qinxun Bai, Zhengyuan Zhou, Linhai Qiu, Jose H. Blanchet, Peter W. Glynn
2021	A*	`conf`	MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. KDD Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman
2021	J	`jnl`	No Discounted-Regret Learning in Adversarial Bandits with Delays. CoRR Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose H. Blanchet
2021	A*	`conf`	Online Multi-Armed Bandits with Adaptive Inference. NeurIPS Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou
2021	J	`jnl`	Optimal No-Regret Learning in Strongly Monotone Games with Bandit Feedback. CoRR Tianyi Lin, Zhengyuan Zhou, Wenjia Ba, Jiawei Zhang
2021	J	`jnl`	Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. CoRR Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
2021	J	`jnl`	Policy Learning with Adaptively Collected Data. CoRR Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou
2021	—	`conf`	Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems. L4DC Jingwei Zhang, Zhuoran Yang, Zhengyuan Zhou, Zhaoran Wang
2021	J	`jnl`	Robust Low-Rank Tensor Recovery with Rectification and Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma
2021	J	`jnl`	Robust Power Management via Learning and Game Design. Oper. Res. Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn
2021	J	`jnl`	Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State. CoRR Shi Dong, Benjamin Van Roy, Zhengyuan Zhou
2020	A*	`conf`	Delay-Adaptive Distributed Stochastic Optimization. AAAI Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam
2020	J	`jnl`	Delay-Adaptive Learning in Generalized Linear Contextual Bandits. CoRR Jose H. Blanchet, Renyuan Xu, Zhengyuan Zhou
2020	J	`jnl`	Diagonal Preconditioning: Theory and Algorithms. CoRR Zhaonan Qu, Yinyu Ye, Zhengyuan Zhou
2020	J	`jnl`	Distributional Robust Batch Contextual Bandits. CoRR Nian Si, Fan Zhang, Zhengyuan Zhou, Jose H. Blanchet
2020	J	`jnl`	Distributional Soft Actor Critic for Risk Sensitive Learning. CoRR Xiaoteng Ma, Qiyuan Zhang, Li Xia, Zhengyuan Zhou, Jun Yang, Qianchuan Zhao
2020	A*	`conf`	Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits. ICML Nian Si, Fan Zhang, Zhengyuan Zhou, Jose H. Blanchet
2020	J	`jnl`	Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits. CoRR Zhimei Ren, Zhengyuan Zhou
2020	J	`jnl`	Federated LQR: Learning through Sharing. CoRR Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li
2020	J	`jnl`	Federated Learning's Blessing: FedAvg has Linear Speedup. CoRR Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou
2020	A*	`conf`	Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games. ICML Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan
2020	J	`jnl`	Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games. CoRR Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan
2020	A*	`conf`	Gradient-free Online Learning in Continuous Games with Delayed Rewards. ICML Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
2020	J	`jnl`	Gradient-free Online Learning in Games with Delayed Rewards. CoRR Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
2020	J	`jnl`	Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. CoRR Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman
2020	J	`jnl`	On the Convergence of Mirror Descent beyond Stochastic Convex Programming. SIAM J. Optim. Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn
2020	J	`jnl`	Optimal No-regret Learning in Repeated First-price Auctions. CoRR Yanjun Han, Zhengyuan Zhou, Tsachy Weissman
2020	A*	`conf`	Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. NeurIPS Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
2020	J	`jnl`	Sequential Batch Learning in Finite-Action Linear Contextual Bandits. CoRR Yanjun Han, Zhengqing Zhou, Zhengyuan Zhou, Jose H. Blanchet, Peter W. Glynn, Yinyu Ye
2020	J	`jnl`	Smarter Lions: Efficient Cooperative Pursuit in General Bounded Arenas. SIAM J. Control. Optim. Zhengyuan Zhou, Jonathan Richard Shewchuk, Dusan M. Stipanovic, Haomiao Huang, Claire J. Tomlin
2020	A*	`conf`	Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. ICLR Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma
2020	J	`jnl`	policytree: Policy learning via doubly robust empirical welfare maximization over trees. J. Open Source Softw. Erik Sverdrup, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, Stefan Wager
2019	—	`conf`	Anesthesiologist Surgery Assignments using Policy Learning. ICC Andrew Ward, Zhengyuan Zhou, Nicholas Bambos, Ellen Wang, David Scheinker
2019	A*	`conf`	Balanced Linear Contextual Bandits. AAAI Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
2019	Misc	`conf`	Bidding-Based Dynamic Power Pricing Scheme in Smart Grids. ICNC Andrew Ward, Zhengyuan Zhou, Nicholas Bambos
2019	J	`jnl`	Electrochemiluminescence Sensor Based on Electrospun Three-Dimensional Carbon Nanofibers for the Detection of Difenidol Hydrochloride. Sensors Hao Cheng, Zhengyuan Zhou, Yanqing Li, Wenyi Huang, Jun Feng, Tingfan Tang, Lijun Li
2019	A*	`conf`	Learning in Generalized Linear Contextual Bandits with Stochastic Delays. NeurIPS Zhengyuan Zhou, Renyuan Xu, Jose H. Blanchet
2019	J	`jnl`	Learning in games with continuous action sets and unknown payoff functions. Math. Program. Panayotis Mertikopoulos, Zhengyuan Zhou
2019	A*	`conf`	Online EXP3 Learning in Adversarial Bandits with Delayed Feedback. NeurIPS Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose H. Blanchet
2019	J	`jnl`	Provably Efficient Reinforcement Learning with Aggregated States. CoRR Shi Dong, Benjamin Van Roy, Zhengyuan Zhou
2019	—	`conf`	Smart Greedy Distributed Allocation in Microgrids. ICC Ilai Bistritz, Andrew Ward, Zhengyuan Zhou, Nicholas Bambos
2018	J	`jnl`	Balanced Linear Contextual Bandits. CoRR Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
2018	J	`jnl`	Deterministic and Stochastic Wireless Network Games: Equilibrium, Dynamics, and Price of Anarchy. Oper. Res. Zhengyuan Zhou, Nicholas Bambos, Peter W. Glynn
2018	A*	`conf`	Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei
2018	J	`jnl`	Efficient path planning algorithms in reach-avoid problems. Autom. Zhengyuan Zhou, Jerry Ding, Haomiao Huang, Ryo Takei, Claire J. Tomlin
2018	J	`jnl`	Infinite Time Horizon Maximum Causal Entropy Inverse Reinforcement Learning. IEEE Trans. Autom. Control. Zhengyuan Zhou, Michael Bloem, Nicholas Bambos
2018	A*	`conf`	Learning in Games with Lossy Feedback. NeurIPS Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
2018	A*	`conf`	MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. ICML Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei
2018	—	`conf`	Micro-UAV onboard vehicle detection: architecture and experiments. ISR Zhengyuan Zhou, Yong Zhou, Dengqing Tang, Kuang Zhao, Tianjiang Hu
2018	J	`jnl`	Offline Multi-Action Policy Learning: Generalization and Optimization. CoRR Zhengyuan Zhou, Susan Athey, Stefan Wager
2018	—	`conf`	Optimal Sensing for Patient Health Monitoring. ICC Daniel Miller, Zhengyuan Zhou, Nicholas Bambos, Irad Ben-Gal
2018	—	`conf`	Power Control with Random Delays: Robust Feedback Averaging. CDC Andrew Ward, Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos
2018	C	`conf`	Robustness of Join-the-Shortest-Queue Scheduling to Communication Delay. ACC Saied Mehdian, Zhengyuan Zhou, Nicholas Bambos
2018	C	`conf`	Sensing-Constrained Power Control in Digital Health. ACC Daniel Miller, Zhengyuan Zhou, Nicholas Bambos, Irad Ben-Gal
2017	J	`jnl`	An Infinite Dimensional Model for a Many Server Priority Queue. CoRR Neal Master, Zhengyuan Zhou, Nicholas Bambos
2017	Misc	`conf`	An infinite dimensional model for a many server priority queue. CISS Neal Master, Zhengyuan Zhou, Nicholas Bambos
2017	C	`conf`	An infinite dimensional model for a single server priority queue. ACC Neal Master, Zhengyuan Zhou, Nicholas Bambos
2017	C	`conf`	Asynchronous best-response dynamics for resource allocation games in cloud computing. ACC Kevin Schubert, Neal Master, Zhengyuan Zhou, Nicholas Bambos
2017	—	`conf`	Countering Feedback Delays in Multi-Agent Learning. NIPS Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Claire J. Tomlin
2017	Misc	`conf`	Dynamic control of data center network and computation resources. ICNC Daniel Miller, Li Xia, Zhengyuan Zhou, Nicholas Bambos
2017	J	`jnl`	Improving predictions of pediatric surgical durations with supervised learning. Int. J. Data Sci. Anal. Neal Master, Zhengyuan Zhou, Daniel Miller, David Scheinker, Nicholas Bambos, Peter W. Glynn
2017	C	`conf`	Join-the-shortest-queue scheduling with delay. ACC Saied Mehdian, Zhengyuan Zhou, Nicholas Bambos
2017	B	`conf`	Least action routing: Identifying the optimal path in a wireless relay network. PIMRC Aris L. Moustakas, Panayotis Mertikopoulos, Zhengyuan Zhou, Nick Bambos
2017	B	`conf`	Longest-queue-first scheduling with intermittent sampling. PIMRC Saied Mehdian, Zhengyuan Zhou, Nicholas Bambos
2017	J	`jnl`	MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. CoRR Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei
2017	J	`jnl`	Mirror descent in non-convex stochastic programming. CoRR Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn
2017	—	`conf`	Mirror descent learning in continuous games. CDC Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn
2017	J	`jnl`	Multiplayer Reach-Avoid Games via Pairwise Outcomes. IEEE Trans. Autom. Control. Mo Chen, Zhengyuan Zhou, Claire J. Tomlin
2017	J	`jnl`	Service Rate Control of Tandem Queues With Power Constraints. IEEE Trans. Autom. Control. Li Xia, Daniel Miller, Zhengyuan Zhou, Nicholas Bambos
2017	B	`conf`	Stable Power Control in Wireless Networks via Dual Averaging. GLOBECOM Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Saied Mehdian, Nicholas Bambos, Peter W. Glynn
2017	—	`conf`	Stochastic Mirror Descent in Variationally Coherent Optimization Problems. NIPS Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn
2016	B	`conf`	A Stochastic Stability Characterization of the Foschini-Miljanic Algorithm in Random Wireless Networks. GLOBECOM Zhengyuan Zhou, Daniel Miller, Nicholas Bambos, Peter W. Glynn
2016	C	`conf`	A game-theoretical formulation of influence networks. ACC Zhengyuan Zhou, Benjamin Yolken, Reiko Ann Miura-Ko, Nicholas Bambos
2016	J	`jnl`	An Infinite Dimensional Model for A Single Server Priority Queue. CoRR Neal Master, Zhengyuan Zhou, Nicholas Bambos
2016	J	`jnl`	Cooperative pursuit with Voronoi partitions. Autom. Zhengyuan Zhou, Wei Zhang, Jerry Ding, Haomiao Huang, Dusan M. Stipanovic, Claire J. Tomlin
2016	B	`conf`	Detecting Inaccurate Predictions of Pediatric Surgical Durations. DSAA Zhengyuan Zhou, Daniel Miller, Neal Master, David Scheinker, Nicholas Bambos, Peter W. Glynn
2016	—	`conf`	Dynamics on Linear Influence Network Games Under Stochastic Environments. GameSec Zhengyuan Zhou, Nicholas Bambos, Peter W. Glynn
2016	—	`conf`	Repeated games for power control in wireless communications: Equilibrium and regret. CDC Zhengyuan Zhou, Peter W. Glynn, Nicholas Bambos
2016	J	`jnl`	The Importance of Exploration in Online Marketplaces. IEEE Internet Comput. Siddhartha Banerjee, Ramesh Johari, Zhengyuan Zhou
2015	C	`conf`	A general model for resource allocation in utility computing. ACC Zhengyuan Zhou, Nicholas Bambos
2015	B	`conf`	Scalable Data Center Power Management via a Global Stress Signal. GLOBECOM Daniel Miller, Neal Master, Zhengyuan Zhou, Nicholas Bambos
2015	—	`conf`	Target-rate driven resource sharing in queueing systems. CDC Zhengyuan Zhou, Nicholas Bambos
2015	—	`conf`	Wireless communications games in fixed and random environments. CDC Zhengyuan Zhou, Nicholas Bambos
2014	—	`conf`	A path defense approach to the multiplayer reach-avoid game. CDC Mo Chen, Zhengyuan Zhou, Claire J. Tomlin
2014	C	`conf`	Convexity verification for a hybrid chance constrained method in stochastic control problems. ACC Zhengyuan Zhou, Michael P. Vitus, Claire J. Tomlin
2014	J	`jnl`	Distributed Multi-Depot Routing without Communications. CoRR Dawsen Hwang, Patrick Jaillet, Zhengyuan Zhou
2014	A*	`conf`	Evasion of a team of dubins vehicles from a hidden pursuer. ICRA Shih-Yuan Liu, Zhengyuan Zhou, Claire J. Tomlin, J. Karl Hedrick
2014	A*	`conf`	Hybrid Singular Value Thresholding for Tensor Completion. AAAI Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma
2014	C	`conf`	Multiplayer reach-avoid games via low dimensional solutions and maximum matching. ACC Mo Chen, Zhengyuan Zhou, Claire J. Tomlin
2014	—	`conf`	The importance of exploration in online marketplaces. CDC Siddhartha Banerjee, Zhengyuan Zhou, Ramesh Johari
2013	C	`conf`	Evasion as a team against a faster pursuer. ACC Shih-Yuan Liu, Zhengyuan Zhou, Claire J. Tomlin, J. Karl Hedrick
2013	—	`conf`	Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors. NIPS Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma
2012	—	`conf`	A general, open-loop formulation for reach-avoid games. CDC Zhengyuan Zhou, Ryo Takei, Haomiao Huang, Claire J. Tomlin