Shaofeng Zou

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 104

Top Venues

CoRR

ISIT

ICASSP

IEEE Trans. Inf. Theory

Publications

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. 2024 (2024)
Alessandro N. Baccarini, Marina Blanton, Shaofeng Zou
Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation. CODASPY (2024)
Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang
Sample Complexity Characterization for Linear Contextual MDPs. AISTATS (2024)
Qi Zhang, Peiyao Xiao, Kaiyi Ji, Shaofeng Zou
On the Convergence of Multi-objective Optimization under Generalized Smoothness. CoRR (2024)
Zhongchang Sun, Shaofeng Zou
Quickest Change Detection in Autoregressive Models. IEEE Trans. Inf. Theory 70 (7) (2024)
Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. CoRR (2024)
Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan
Faster algorithm and sharper analysis for constrained Markov decision process. Oper. Res. Lett. 54 (2024)
Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. AAAI (2024)
Yue Wang, Jinjun Xiong, Shaofeng Zou
Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach. Trans. Mach. Learn. Res. 2024 (2024)
Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji, Shaofeng Zou
Finite-Time Analysis for Conflict-Avoidant Multi-Task Reinforcement Learning. CoRR (2024)
Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
Robust Average-Reward Reinforcement Learning. J. Artif. Intell. Res. 80 (2024)
Shaofeng Zou, Xuyang Wang, Tao Yuan, Kaihui Zeng, Guolin Li, Xiang Xie
Moving Object Detection in Shallow Underwater using Multi-Scale Spatial-Temporal Lacunarity. ISCAS (2024)
Yudan Wang, Shaofeng Zou, Yue Wang
Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. CoRR (2024)
Yue Wang, Yi Zhou, Shaofeng Zou
Finite-time error bounds for Greedy-GQ. Mach. Learn. 113 (9) (2024)
Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang
Sample Complexity Characterization for Linear Contextual MDPs. CoRR (2024)
Qi Zhang, Yi Zhou, Shaofeng Zou
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance. CoRR (2024)
Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. CoRR (2024)
Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
Constrained Reinforcement Learning Under Model Mismatch. CoRR (2024)
Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou
Robust Hypothesis Testing With Moment Constrained Uncertainty Sets. ICASSP (2023)
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS (2023)
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. 2023 (2023)
Zhongchang Sun, Shaofeng Zou
Quickest Anomaly Detection in Sensor Networks With Unlabeled Samples. IEEE Trans. Signal Process. 71 (2023)
Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou
Data-Driven Quickest Change Detection in Markov Models. ICASSP (2023)
Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
Model-Free Robust Average-Reward Reinforcement Learning. CoRR (2023)
Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
Robust Average-Reward Markov Decision Processes. CoRR (2023)
Zhongchang Sun, Shaofeng Zou
Kernel Robust Hypothesis Testing. IEEE Trans. Inf. Theory 69 (10) (2023)
Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
Robust Average-Reward Markov Decision Processes. AAAI (2023)
Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
Model-Free Robust Average-Reward Reinforcement Learning. ICML (2023)
Zhongchang Sun, Shaofeng Zou
Quickest Change Detection in Autoregressive Models. CoRR (2023)
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR (2023)
Yue Wang, Yuting Hu, Jinjun Xiong, Shaofeng Zou
Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. CoRR (2023)
Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou
Data-Driven Quickest Change Detection in Hidden Markov Models. ISIT (2023)
Yue Wang, Shaofeng Zou
Policy Gradient Method For Robust Reinforcement Learning. ICML (2022)
Yue Wang, Shaofeng Zou
Policy Gradient Method For Robust Reinforcement Learning. CoRR (2022)
Yue Wang, Fei Miao, Shaofeng Zou
Robust Constrained Reinforcement Learning. CoRR (2022)
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. CoRR (2022)
Yudan Wang, Yue Wang, Yi Zhou, Alvaro Velasquez, Shaofeng Zou
Data-Driven Robust Multi-Agent Reinforcement Learning. MLSP (2022)
Zhongchang Sun, Shaofeng Zou
Kernel Robust Hypothesis Testing. CoRR (2022)
Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li
Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. IEEE Trans. Signal Process. 70 (2022)
Zhongchang Sun, Shaofeng Zou
Robust Hypothesis Testing with Kernel Uncertainty Sets. ISIT (2022)
Ziyi Chen, Yi Zhou, Rong-Rong Chen, Shaofeng Zou
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. ICML (2022)
Alessandro N. Baccarini, Marina Blanton, Shaofeng Zou
Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation. CoRR (2022)
Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou
Robust Hypothesis Testing with Moment Constrained Uncertainty Sets. CoRR (2022)
Yue Wang, Yi Zhou, Shaofeng Zou
Finite-Time Error Bounds for Greedy-GQ. CoRR (2022)
Shaofeng Zou, Jiawei Lin, Xuyang Wang, Guolin Li, Zhihua Wang, Xiang Xie
An Object Enhancement Method for Forward-Looking Sonar Images Based on Multi-Frame Fusion. ISCAS (2021)
Qunwei Li, Shaofeng Zou, Wenliang Zhong
Learning Graph Neural Networks with Approximate Gradient Descent. AAAI (2021)
Yue Wang, Shaofeng Zou, Yi Zhou
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation. NeurIPS (2021)
Zhongchang Sun, Shaofeng Zou
A Data-Driven Approach to Robust Hypothesis Testing Using Kernel MMD Uncertainty Sets. ISIT (2021)
Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli
Sequential (Quickest) Change Detection: Classical Results and New Directions. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Ziyi Chen, Yi Zhou, Rongrong Chen, Shaofeng Zou
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. CoRR (2021)
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
Population Risk Improvement with Model Compression: An Information-Theoretic Approach. Entropy 23 (10) (2021)
Yue Wang, Shaofeng Zou, Yi Zhou
Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation. CoRR (2021)
Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process. CoRR (2021)
Yue Wang, Shaofeng Zou
Online Robust Reinforcement Learning with Model Uncertainty. NeurIPS (2021)
Yue Wang, Shaofeng Zou
Online Robust Reinforcement Learning with Model Uncertainty. CoRR (2021)
Zhongchang Sun, Qunwei Li, Ruizhi Zhang, Shaofeng Zou
A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. ISIT (2021)
Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. ICLR (2021)
Zhongchang Sun, Shaofeng Zou
Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks. ISIT (2021)
Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. CoRR (2021)
Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley
Quickest Detection of Dynamic Events in Networks. IEEE Trans. Inf. Theory 66 (4) (2020)
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. AAAI (2020)
Qunwei Li, Shaofeng Zou, Wenliang Zhong
Learning Graph Neural Networks with Approximate Gradient Descent. CoRR (2020)
Shaocong Ma, Yi Zhou, Shaofeng Zou
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. CoRR (2020)
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
Tightening Mutual Information-Based Bounds on Generalization Error. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Zhongchang Sun, Shaofeng Zou, Qunwei Li
Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. ICASSP (2020)
Yue Wang, Shaofeng Zou
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. UAI (2020)
Ruizhi Zhang, Shaofeng Zou
A Game-Theoretic Approach to Sequential Detection in Adversarial Environments. ISIT (2020)
Yue Wang, Shaofeng Zou
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. CoRR (2020)
Shaocong Ma, Yi Zhou, Shaofeng Zou
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. NeurIPS (2020)
Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang
A CNN-Based Blind Denoising Method for Endoscopic Images. CoRR (2020)
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection. IEEE Trans. Signal Process. 67 (8) (2019)
Tengyu Xu, Shaofeng Zou, Yingbin Liang
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. NeurIPS (2019)
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
Tightening Mutual Information Based Bounds on Generalization Error. CoRR (2019)
Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley, Ananthram Swami
Distributed Quickest Detection of Significant Events in Networks. ICASSP (2019)
Xuyang Wang, Mingzhu Long, Shaofeng Zou, Xiang Xie, Guolin Li, Zhihua Wang
Detail Recovery in Medical Images Denoising. BioCAS (2019)
Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli
Quickest Detection of a Moving Target in a Sensor Network. ISIT (2019)
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
Tightening Mutual Information Based Bounds on Generalization Error. ISIT (2019)
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. CoRR (2019)
Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli
Quickest Change Detection Under Transient Dynamics: Theory and Asymptotic Analysis. IEEE Trans. Inf. Theory 65 (3) (2019)
Jian Li, Don Towsley, Shaofeng Zou, Venugopal V. Veeravalli, Gabriela F. Ciocarlie
A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks. ACSSC (2019)
Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang
A CNN-Based Blind Denoising Method for Endoscopic Images. BioCAS (2019)
Shaofeng Zou, Tengyu Xu, Yingbin Liang
Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation. CoRR (2019)
Tengyu Xu, Shaofeng Zou, Yingbin Liang
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. CoRR (2019)
Shaofeng Zou, Tengyu Xu, Yingbin Liang
Finite-Sample Analysis for SARSA with Linear Function Approximation. NeurIPS (2019)
Shaofeng Zou, Venugopal V. Veeravalli
Quickest Detection of Dynamic Events in Sensor Networks. ICASSP (2018)
Georgios Rovatsos, Shaofeng Zou, Alejandro D. Domínguez-García, Venugopal V. Veeravalli
Stochastic Control of Power Supply in Data Centers. ACSSC (2018)
Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai Shitz
Degraded Broadcast Channel With Secrecy Outside a Bounded Range. IEEE Trans. Inf. Theory 64 (3) (2018)
Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli
Estimation of KL Divergence: Optimal Minimax Rate. IEEE Trans. Inf. Theory 64 (4) (2018)
Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley
Quickest Detection of Significant Events in Structured Networks. ACSSC (2018)
Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley
Quickest Detection of Dynamic Events in Networks. CoRR (2018)
Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli
Asymptotic optimality of D-CuSum for quickest change detection under transient dynamics. ISIT (2017)
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
Linear Complexity Exponentially Consistent Tests for Outlying Sequence Detection. CoRR (2017)
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
Nonparametric Detection of Anomalous Data Streams. IEEE Trans. Signal Process. 65 (21) (2017)
Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli
Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis. CoRR (2017)
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
Linear-complexity exponentially-consistent tests for universal outlying sequence detection. ISIT (2017)
Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli
Quickest change detection under transient dynamics. ICASSP (2017)
Shaofeng Zou, Yingbin Liang, Shlomo Shamai
Gaussian fading channel with secrecy outside a bounded range. CNS (2017)
Shaofeng Zou, Yingbin Liang, H. Vincent Poor
Nonparametric Detection of Geometric Structures Over Networks. IEEE Trans. Signal Process. 65 (19) (2017)
Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai
K-user degraded broadcast channel with secrecy outside a bounded range. ITW (2016)
Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli
Estimation of KL divergence between large-alphabet distributions. ISIT (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shaofeng Zou