Multiple access channel with state uncertainty at transmitters. - Shaofeng Zou; Yingbin Liang; Shlomo Shamai (ISIT, 2013)

Layered decoding and secrecy over degraded broadcast channels. - Shaofeng Zou; Yingbin Liang; Lifeng Lai; Shlomo Shamai (SPAWC, 2013)

Unsupervised nonparametric anomaly detection: A kernel method. - Shaofeng Zou; Yingbin Liang; H. Vincent Poor; Xinghua Shi (Allerton, 2014)

Layered secure broadcasting over MIMO channels and application in secret sharing. - Shaofeng Zou; Yingbin Liang; Lifeng Lai; Shlomo Shamai (ISIT, 2014)

A kernel-based nonparametric test for anomaly detection over line networks. - Shaofeng Zou; Yingbin Liang; H. Vincent Poor (MLSP, 2014)

Kernel-based nonparametric anomaly detection. - Shaofeng Zou; Yingbin Liang; H. Vincent Poor; Xinghua Shi (SPAWC, 2014)

Nonparametric Detection of Anomalous Data via Kernel Mean Embedding. - Shaofeng Zou; Yingbin Liang; H. Vincent Poor; Xinghua Shi (CoRR, 2014)

Rate splitting and sharing for degraded broadcast channel with secrecy outside a bounded range. - Shaofeng Zou; Yingbin Liang; Lifeng Lai; Shlomo Shamai (ISIT, 2015)

Degraded broadcast channel: Secrecy outside of a bounded range. - Shaofeng Zou; Yingbin Liang; Lifeng Lai; Shlomo Shamai (ITW, 2015)

Broadcast Networks With Layered Decoding and Layered Secrecy: Theory and Applications. - Shaofeng Zou; Yingbin Liang; Lifeng Lai; H. Vincent Poor; Shlomo Shamai (Proc. IEEE, 2015)

An Information Theoretic Approach to Secret Sharing. - Shaofeng Zou; Yingbin Liang; Lifeng Lai; Shlomo Shamai (IEEE Trans. Inf. Theory, 2015)

Universal outlying sequence detection for continuous observations. - Yuheng Bu; Shaofeng Zou; Yingbin Liang; Venugopal V. Veeravalli (ICASSP, 2016)

Nonparametric detection of an anomalous disk over a two-dimensional lattice network. - Shaofeng Zou; Yingbin Liang; H. Vincent Poor (ICASSP, 2016)

Estimation of KL divergence between large-alphabet distributions. - Yuheng Bu; Shaofeng Zou; Yingbin Liang; Venugopal V. Veeravalli (ISIT, 2016)

K-user degraded broadcast channel with secrecy outside a bounded range. - Shaofeng Zou; Yingbin Liang; Lifeng Lai; H. Vincent Poor; Shlomo Shamai (ITW, 2016)

Gaussian fading channel with secrecy outside a bounded range. - Shaofeng Zou; Yingbin Liang; Shlomo Shamai (CNS, 2017)

Quickest change detection under transient dynamics. - Georgios Rovatsos; Shaofeng Zou; Venugopal V. Veeravalli (ICASSP, 2017)

Asymptotic optimality of D-CuSum for quickest change detection under transient dynamics. - Shaofeng Zou; Georgios Fellouris; Venugopal V. Veeravalli (ISIT, 2017)

Linear Complexity Exponentially Consistent Tests for Outlying Sequence Detection. - Yuheng Bu; Shaofeng Zou; Venugopal V. Veeravalli (CoRR, 2017)

Nonparametric Detection of Geometric Structures Over Networks. - Shaofeng Zou; Yingbin Liang; H. Vincent Poor (IEEE Trans. Signal Process., 2017)

Nonparametric Detection of Anomalous Data Streams. - Shaofeng Zou; Yingbin Liang; H. Vincent Poor; Xinghua Shi (IEEE Trans. Signal Process., 2017)

Stochastic Control of Power Supply in Data Centers. - Georgios Rovatsos; Shaofeng Zou; Alejandro D. Domínguez-García; Venugopal V. Veeravalli (ACSSC, 2018)

Quickest Detection of Significant Events in Structured Networks. - Shaofeng Zou; Venugopal V. Veeravalli; Jian Li 008; Don Towsley (ACSSC, 2018)

Quickest Detection of Dynamic Events in Sensor Networks. - Shaofeng Zou; Venugopal V. Veeravalli (ICASSP, 2018)

Estimation of KL Divergence: Optimal Minimax Rate. - Yuheng Bu; Shaofeng Zou; Yingbin Liang; Venugopal V. Veeravalli (IEEE Trans. Inf. Theory, 2018)

Degraded Broadcast Channel With Secrecy Outside a Bounded Range. - Shaofeng Zou; Yingbin Liang; Lifeng Lai; H. Vincent Poor; Shlomo Shamai Shitz (IEEE Trans. Inf. Theory, 2018)

A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks. - Jian Li 008; Don Towsley; Shaofeng Zou; Venugopal V. Veeravalli; Gabriela F. Ciocarlie (ACSSC, 2019)

Detail Recovery in Medical Images Denoising. - Xuyang Wang 003; Mingzhu Long; Shaofeng Zou; Xiang Xie; Guolin Li; Zhihua Wang 001 (BioCAS, 2019)

A CNN-Based Blind Denoising Method for Endoscopic Images. - Shaofeng Zou; Mingzhu Long; Xuyang Wang 003; Xiang Xie; Guolin Li; Zhihua Wang 001 (BioCAS, 2019)

Distributed Quickest Detection of Significant Events in Networks. - Shaofeng Zou; Venugopal V. Veeravalli; Jian Li 008; Don Towsley; Ananthram Swami (ICASSP, 2019)

Quickest Detection of a Moving Target in a Sensor Network. - Georgios Rovatsos; Shaofeng Zou; Venugopal V. Veeravalli (ISIT, 2019)

Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. - Tengyu Xu; Shaofeng Zou; Yingbin Liang (NeurIPS, 2019)

Finite-Sample Analysis for SARSA with Linear Function Approximation. - Shaofeng Zou; Tengyu Xu; Yingbin Liang (NeurIPS, 2019)

Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation. - Shaofeng Zou; Tengyu Xu; Yingbin Liang (CoRR, 2019)

Quickest Change Detection Under Transient Dynamics: Theory and Asymptotic Analysis. - Shaofeng Zou; Georgios Fellouris; Venugopal V. Veeravalli (IEEE Trans. Inf. Theory, 2019)

Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection. - Yuheng Bu; Shaofeng Zou; Venugopal V. Veeravalli (IEEE Trans. Signal Process., 2019)

Information-Theoretic Understanding of Population Risk Improvement with Model Compression. - Yuheng Bu; Weihao Gao; Shaofeng Zou; Venugopal V. Veeravalli (AAAI, 2020)

Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. - Zhongchang Sun; Shaofeng Zou; Qunwei Li (ICASSP, 2020)

A Game-Theoretic Approach to Sequential Detection in Adversarial Environments. - Ruizhi Zhang 001; Shaofeng Zou (ISIT, 2020)

Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. - Shaocong Ma; Yi Zhou 017; Shaofeng Zou (NeurIPS, 2020)

Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. - Yue Wang 068; Shaofeng Zou (UAI, 2020)

Tightening Mutual Information-Based Bounds on Generalization Error. - Yuheng Bu; Shaofeng Zou; Venugopal V. Veeravalli (IEEE J. Sel. Areas Inf. Theory, 2020)

Quickest Detection of Dynamic Events in Networks. - Shaofeng Zou; Venugopal V. Veeravalli; Jian Li 008; Don Towsley (IEEE Trans. Inf. Theory, 2020)

Learning Graph Neural Networks with Approximate Gradient Descent. - Qunwei Li; Shaofeng Zou; Wenliang Zhong (AAAI, 2021)

Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. - Shaocong Ma; Ziyi Chen 002; Yi Zhou 017; Shaofeng Zou (ICLR, 2021)

An Object Enhancement Method for Forward-Looking Sonar Images Based on Multi-Frame Fusion. - Shaofeng Zou; Jiawei Lin; Xuyang Wang 003; Guolin Li; Zhihua Wang 001; Xiang Xie (ISCAS, 2021)

A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. - Zhongchang Sun; Qunwei Li; Ruizhi Zhang 001; Shaofeng Zou (ISIT, 2021)

Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks. - Zhongchang Sun; Shaofeng Zou (ISIT, 2021)

A Data-Driven Approach to Robust Hypothesis Testing Using Kernel MMD Uncertainty Sets. - Zhongchang Sun; Shaofeng Zou (ISIT, 2021)

Online Robust Reinforcement Learning with Model Uncertainty. - Yue Wang 068; Shaofeng Zou (NeurIPS, 2021)

Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation. - Yue Wang 068; Shaofeng Zou; Yi Zhou 017 (NeurIPS, 2021)

Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation. - Yue Wang 068; Shaofeng Zou; Yi Zhou 017 (CoRR, 2021)

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. - Ziyi Chen 002; Yi Zhou 017; Rongrong Chen; Shaofeng Zou (CoRR, 2021)

Population Risk Improvement with Model Compression: An Information-Theoretic Approach. - Yuheng Bu; Weihao Gao; Shaofeng Zou; Venugopal V. Veeravalli (Entropy, 2021)

Sequential (Quickest) Change Detection: Classical Results and New Directions. - Liyan Xie; Shaofeng Zou; Yao Xie 002; Venugopal V. Veeravalli (IEEE J. Sel. Areas Inf. Theory, 2021)

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. - Ziyi Chen 002; Yi Zhou 017; Rong-Rong Chen; Shaofeng Zou (ICML, 2022)

Policy Gradient Method For Robust Reinforcement Learning. - Yue Wang 068; Shaofeng Zou (ICML, 2022)

Robust Hypothesis Testing with Kernel Uncertainty Sets. - Zhongchang Sun; Shaofeng Zou (ISIT, 2022)

Data-Driven Robust Multi-Agent Reinforcement Learning. - Yudan Wang; Yue Wang 068; Yi Zhou 017; Alvaro Velasquez; Shaofeng Zou (MLSP, 2022)

Robust Constrained Reinforcement Learning. - Yue Wang 068; Fei Miao; Shaofeng Zou (CoRR, 2022)

A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. - Sihong He; Yue Wang 068; Shuo Han 002; Shaofeng Zou; Fei Miao (CoRR, 2022)

Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. - Zhongchang Sun; Shaofeng Zou; Ruizhi Zhang 001; Qunwei Li (IEEE Trans. Signal Process., 2022)

Robust Average-Reward Markov Decision Processes. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (AAAI, 2023)

Robust Hypothesis Testing With Moment Constrained Uncertainty Sets. - Akshayaa Magesh; Zhongchang Sun; Venugopal V. Veeravalli; Shaofeng Zou (ICASSP, 2023)

Data-Driven Quickest Change Detection in Markov Models. - Qi Zhang 069; Zhongchang Sun; Luis C. Herrera; Shaofeng Zou (ICASSP, 2023)

Model-Free Robust Average-Reward Reinforcement Learning. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (ICML, 2023)

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. - Sihong He; Yue Wang 068; Shuo Han 002; Shaofeng Zou; Fei Miao (IROS, 2023)

Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. - Yue Wang 068; Yuting Hu; Jinjun Xiong; Shaofeng Zou (CoRR, 2023)

Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty. - Shaocong Ma; Ziyi Chen 002; Shaofeng Zou; Yi Zhou 017 (J. Mach. Learn. Res., 2023)

Robust Multi-Agent Reinforcement Learning with State Uncertainty. - Sihong He; Songyang Han; Sanbao Su; Shuo Han 002; Shaofeng Zou; Fei Miao (Trans. Mach. Learn. Res., 2023)

Quickest Anomaly Detection in Sensor Networks With Unlabeled Samples. - Zhongchang Sun; Shaofeng Zou (IEEE Trans. Signal Process., 2023)

Kernel Robust Hypothesis Testing. - Zhongchang Sun; Shaofeng Zou (IEEE Trans. Inf. Theory, 2023)

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. - Qi Zhang 069; Yi Zhou 017; Ashley Prater-Bennette; Lixin Shen; Shaofeng Zou (AAAI, 2024)

Sample Complexity Characterization for Linear Contextual MDPs. - Junze Deng; Yuan Cheng; Shaofeng Zou; Yingbin Liang (AISTATS, 2024)

Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation. - Alessandro N. Baccarini; Marina Blanton; Shaofeng Zou (CODASPY, 2024)

Constrained Reinforcement Learning Under Model Mismatch. - Zhongchang Sun; Sihong He; Fei Miao; Shaofeng Zou (ICML, 2024)

Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. - Yudan Wang; Yue Wang 068; Yi Zhou 017; Shaofeng Zou (ICML, 2024)

Moving Object Detection in Shallow Underwater using Multi-Scale Spatial-Temporal Lacunarity. - Shaofeng Zou; Xuyang Wang 003; Tao Yuan; Kaihui Zeng; Guolin Li; Xiang Xie (ISCAS, 2024)

Robust Multi-Hypothesis Testing with Moment-Constrained Uncertainty Sets. - Akshayaa Magesh; Zhongchang Sun; Venugopal V. Veeravalli; Shaofeng Zou (ISIT, 2024)

A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch. - Yue Wang 068; Zhongchang Sun; Shaofeng Zou (NeurIPS, 2024)

Policy Optimization for Robust Average Reward MDPs. - Zhongchang Sun; Sihong He; Fei Miao; Shaofeng Zou (NeurIPS, 2024)

Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. - Yudan Wang; Shaofeng Zou; Yue Wang 068 (UAI, 2024)

Finite-Time Analysis for Conflict-Avoidant Multi-Task Reinforcement Learning. - Yudan Wang; Peiyao Xiao; Hao Ban; Kaiyi Ji; Shaofeng Zou (CoRR, 2024)

On the Convergence of Multi-objective Optimization under Generalized Smoothness. - Qi Zhang 069; Peiyao Xiao; Kaiyi Ji; Shaofeng Zou (CoRR, 2024)

Robust Average-Reward Reinforcement Learning. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (J. Artif. Intell. Res., 2024)

Faster algorithm and sharper analysis for constrained Markov decision process. - Tianjiao Li; Ziwei Guan; Shaofeng Zou; Tengyu Xu; Yingbin Liang; Guanghui Lan (Oper. Res. Lett., 2024)

Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach. - Yue Wang 068; Jinjun Xiong; Shaofeng Zou (Trans. Mach. Learn. Res., 2024)

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? - Songyang Han; Sanbao Su; Sihong He; Shuo Han 002; Haizhao Yang; Shaofeng Zou; Fei Miao (Trans. Mach. Learn. Res., 2024)

Data-Driven Quickest Change Detection in (Hidden) Markov Models. - Qi Zhang 069; Zhongchang Sun; Luis C. Herrera; Shaofeng Zou (IEEE Trans. Signal Process., 2024)

Quickest Change Detection in Autoregressive Models. - Zhongchang Sun; Shaofeng Zou (IEEE Trans. Inf. Theory, 2024)

Finite-time error bounds for Greedy-GQ. - Yue Wang 068; Yi Zhou 017; Shaofeng Zou (Mach. Learn., 2024)

Provably Efficient Offline Reinforcement Learning With Trajectory-Wise Reward. - Tengyu Xu; Yue Wang 068; Shaofeng Zou; Yingbin Liang (IEEE Trans. Inf. Theory, 2024)

Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. - Zilong Deng; Simon Khan; Shaofeng Zou (AISTATS, 2025)

MGDA Converges under Generalized Smoothness, Provably. - Qi Zhang 069; Peiyao Xiao; Shaofeng Zou; Kaiyi Ji (ICLR, 2025)

Revisiting Large-Scale Non-convex Distributionally Robust Optimization. - Qi Zhang 069; Yi Zhou 017; Simon Khan; Ashley Prater-Bennette; Lixin Shen; Shaofeng Zou (ICLR, 2025)

Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance. - Qi Zhang 069; Yi Zhou 017; Shaofeng Zou (Trans. Mach. Learn. Res., 2025)

Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization. - Yufeng Yang; Erin E. Tripp; Yifan Sun; Shaofeng Zou; Yi Zhou 017 (Trans. Mach. Learn. Res., 2025)

Scalable Bilevel Loss Balancing for Multi-Task Learning. - Peiyao Xiao; Chaosheng Dong; Shaofeng Zou; Kaiyi Ji (CoRR, 2025)

Understanding Information Disclosure from Secure Computation Output: A Comprehensive Study of Average Salary Computation. - Alessandro N. Baccarini; Marina Blanton; Shaofeng Zou (ACM Trans. Priv. Secur., 2025)

Rejecting Outliers in 2D-3D Point Correspondences from 2D Forward-Looking Sonar Observations. - Jiayi Su; Shaofeng Zou; Jingyu Qian; Yan Wei; Fengzhong Qu; Liuqing Yang 001 (CoRR, 2025)

Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learning. - Yudan Wang; Peiyao Xiao; Hao Ban; Kaiyi Ji; Shaofeng Zou (IEEE Trans. Inf. Theory, 2025)