| 2025 | AISTATS | Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. | Zilong Deng, Simon Khan, Shaofeng Zou |
| 2025 | ICLR | MGDA Converges under Generalized Smoothness, Provably. | Qi Zhang, Peiyao Xiao, Shaofeng Zou, Kaiyi Ji |
| 2025 | ICLR | Revisiting Large-Scale Non-convex Distributionally Robust Optimization. | Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2025 | IROS | 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 |
| 2024 | AAAI | Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. | Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2024 | AISTATS | Sample Complexity Characterization for Linear Contextual MDPs. | Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang |
| 2024 | ICML | Constrained Reinforcement Learning Under Model Mismatch. | Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou |
| 2024 | ICML | Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. | Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou |
| 2024 | ISCAS | Moving Object Detection in Shallow Underwater using Multi-Scale Spatial-Temporal Lacunarity. | Shaofeng Zou, Xuyang Wang, Tao Yuan, Kaihui Zeng, Guolin Li, Xiang Xie |
| 2024 | ISIT | Robust Multi-Hypothesis Testing with Moment-Constrained Uncertainty Sets. | Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou |
| 2024 | UAI | Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. | Yudan Wang, Shaofeng Zou, Yue Wang |
| 2023 | AAAI | Robust Average-Reward Markov Decision Processes. | Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou |
| 2023 | ICASSP | Robust Hypothesis Testing With Moment Constrained Uncertainty Sets. | Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou |
| 2023 | ICASSP | Data-Driven Quickest Change Detection in Markov Models. | Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou |
| 2023 | ICML | Model-Free Robust Average-Reward Reinforcement Learning. | Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou |
| 2023 | IROS | A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. | Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao |
| 2023 | ISIT | Data-Driven Quickest Change Detection in Hidden Markov Models. | Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou |
| 2022 | ICML | Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. | Ziyi Chen, Yi Zhou, Rong-Rong Chen, Shaofeng Zou |
| 2022 | ICML | Policy Gradient Method For Robust Reinforcement Learning. | Yue Wang, Shaofeng Zou |
| 2022 | ISIT | Robust Hypothesis Testing with Kernel Uncertainty Sets. | Zhongchang Sun, Shaofeng Zou |
| 2021 | AAAI | Learning Graph Neural Networks with Approximate Gradient Descent. | Qunwei Li, Shaofeng Zou, Wenliang Zhong |
| 2021 | ICLR | Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. | Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou |
| 2021 | ISCAS | An Object Enhancement Method for Forward-Looking Sonar Images Based on Multi-Frame Fusion. | Shaofeng Zou, Jiawei Lin, Xuyang Wang, Guolin Li, Zhihua Wang, Xiang Xie |
| 2021 | ISIT | A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. | Zhongchang Sun, Qunwei Li, Ruizhi Zhang, Shaofeng Zou |
| 2021 | ISIT | Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks. | Zhongchang Sun, Shaofeng Zou |
| 2021 | ISIT | A Data-Driven Approach to Robust Hypothesis Testing Using Kernel MMD Uncertainty Sets. | Zhongchang Sun, Shaofeng Zou |
| 2020 | AAAI | Information-Theoretic Understanding of Population Risk Improvement with Model Compression. | Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli |
| 2020 | ICASSP | Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. | Zhongchang Sun, Shaofeng Zou, Qunwei Li |
| 2020 | ISIT | A Game-Theoretic Approach to Sequential Detection in Adversarial Environments. | Ruizhi Zhang, Shaofeng Zou |
| 2020 | UAI | Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. | Yue Wang, Shaofeng Zou |
| 2019 | ACSSC | A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks. | Jian Li, Don Towsley, Shaofeng Zou, Venugopal V. Veeravalli, Gabriela F. Ciocarlie |
| 2019 | ICASSP | Distributed Quickest Detection of Significant Events in Networks. | Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley, Ananthram Swami |
| 2019 | ISIT | Tightening Mutual Information Based Bounds on Generalization Error. | Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli |
| 2019 | ISIT | Quickest Detection of a Moving Target in a Sensor Network. | Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli |
| 2018 | ACSSC | Stochastic Control of Power Supply in Data Centers. | Georgios Rovatsos, Shaofeng Zou, Alejandro D. Domnguez-Garca, Venugopal V. Veeravalli |
| 2018 | ACSSC | Quickest Detection of Significant Events in Structured Networks. | Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley |
| 2018 | ICASSP | Quickest Detection of Dynamic Events in Sensor Networks. | Shaofeng Zou, Venugopal V. Veeravalli |
| 2017 | ICASSP | Quickest change detection under transient dynamics. | Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli |
| 2017 | ISIT | Linear-complexity exponentially-consistent tests for universal outlying sequence detection. | Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli |
| 2017 | ISIT | Asymptotic optimality of D-CuSum for quickest change detection under transient dynamics. | Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli |
| 2016 | ICASSP | Universal outlying sequence detection for continuous observations. | Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli |
| 2016 | ICASSP | Nonparametric detection of an anomalous disk over a two-dimensional lattice network. | Shaofeng Zou, Yingbin Liang, H. Vincent Poor |
| 2016 | ISIT | Estimation of KL divergence between large-alphabet distributions. | Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli |
| 2016 | ITW | K-user degraded broadcast channel with secrecy outside a bounded range. | Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai |
| 2015 | ISIT | Rate splitting and sharing for degraded broadcast channel with secrecy outside a bounded range. | Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2015 | ITW | Degraded broadcast channel: Secrecy outside of a bounded range. | Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2014 | ISIT | Layered secure broadcasting over MIMO channels and application in secret sharing. | Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2013 | ISIT | Multiple access channel with state uncertainty at transmitters. | Shaofeng Zou, Yingbin Liang, Shlomo Shamai |