Shaofeng Zou - RankMe

141 papers A* 19A 6B 17C 2Misc 11Journal 77Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HIPO: Instruction Hierarchy via Constrained Reinforcement Learning. CoRR Keru Chen, Jun Luo, Sen Lin, Yingbin Liang, Alvaro Velasquez, Nathaniel Bastian, Shaofeng Zou
2026	J	`jnl`	WaterSplat-SLAM: Photorealistic Monocular SLAM in Underwater Environment. IEEE Robotics Autom. Lett. Kangxu Wang, Shaofeng Zou, Chenxing Jiang, Yixiang Dai, Siang Chen, Shaojie Shen, Guijin Wang
2026	J	`jnl`	Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails. CoRR Ruinan Jin, Yingbin Liang, Shaofeng Zou
2025	J	`jnl`	Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization. Trans. Mach. Learn. Res. Yufeng Yang, Erin E. Tripp, Yifan Sun, Shaofeng Zou, Yi Zhou
2025	J	`jnl`	Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance. Trans. Mach. Learn. Res. Qi Zhang, Yi Zhou, Shaofeng Zou
2025	J	`jnl`	Linear Dynamics meets Linear MDPs: Closed-Form Optimal Policies via Reinforcement Learning. CoRR Abed AlRahman Al Makdah, Oliver Kosut, Lalitha Sankar, Shaofeng Zou
2025	A*	`conf`	MGDA Converges under Generalized Smoothness, Provably. ICLR Qi Zhang, Peiyao Xiao, Shaofeng Zou, Kaiyi Ji
2025	A	`conf`	Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. AISTATS Zilong Deng, Simon Khan, Shaofeng Zou
2025	J	`jnl`	Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. CoRR Zilong Deng, Simon Khan, Shaofeng Zou
2025	A	`conf`	Rejecting Outliers in 2D-3D Point Correspondences from 2D Forward-Looking Sonar Observations. IROS Jiayi Su, Shaofeng Zou, Jingyu Qian, Yan Wei, Fengzhong Qu, Liuqing Yang
2025	J	`jnl`	Rejecting Outliers in 2D-3D Point Correspondences from 2D Forward-Looking Sonar Observations. CoRR Jiayi Su, Shaofeng Zou, Jingyu Qian, Yan Wei, Fengzhong Qu, Liuqing Yang
2025	A*	`conf`	Revisiting Large-Scale Non-convex Distributionally Robust Optimization. ICLR Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
2025	J	`jnl`	Scalable Bilevel Loss Balancing for Multi-Task Learning. CoRR Peiyao Xiao, Chaosheng Dong, Shaofeng Zou, Kaiyi Ji
2025	J	`jnl`	Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learning. IEEE Trans. Inf. Theory Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji, Shaofeng Zou
2025	J	`jnl`	Understanding Information Disclosure from Secure Computation Output: A Comprehensive Study of Average Salary Computation. ACM Trans. Priv. Secur. Alessandro N. Baccarini, Marina Blanton, Shaofeng Zou
2024	A*	`conf`	A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch. NeurIPS Yue Wang, Zhongchang Sun, Shaofeng Zou
2024	J	`jnl`	Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach. Trans. Mach. Learn. Res. Yue Wang, Jinjun Xiong, Shaofeng Zou
2024	A*	`conf`	Constrained Reinforcement Learning Under Model Mismatch. ICML Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	Constrained Reinforcement Learning Under Model Mismatch. CoRR Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance. CoRR Qi Zhang, Yi Zhou, Shaofeng Zou
2024	J	`jnl`	Data-Driven Quickest Change Detection in (Hidden) Markov Models. IEEE Trans. Signal Process. Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou
2024	J	`jnl`	Faster algorithm and sharper analysis for constrained Markov decision process. Oper. Res. Lett. Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan
2024	J	`jnl`	Finite-Time Analysis for Conflict-Avoidant Multi-Task Reinforcement Learning. CoRR Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji, Shaofeng Zou
2024	J	`jnl`	Finite-time error bounds for Greedy-GQ. Mach. Learn. Yue Wang, Yi Zhou, Shaofeng Zou
2024	A*	`conf`	Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. AAAI Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
2024	J	`jnl`	Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. CoRR Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
2024	A	`conf`	Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. UAI Yudan Wang, Shaofeng Zou, Yue Wang
2024	J	`jnl`	Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. CoRR Yudan Wang, Shaofeng Zou, Yue Wang
2024	C	`conf`	Moving Object Detection in Shallow Underwater using Multi-Scale Spatial-Temporal Lacunarity. ISCAS Shaofeng Zou, Xuyang Wang, Tao Yuan, Kaihui Zeng, Guolin Li, Xiang Xie
2024	A*	`conf`	Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. ICML Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
2024	J	`jnl`	Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. CoRR Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
2024	J	`jnl`	On the Convergence of Multi-objective Optimization under Generalized Smoothness. CoRR Qi Zhang, Peiyao Xiao, Kaiyi Ji, Shaofeng Zou
2024	A*	`conf`	Policy Optimization for Robust Average Reward MDPs. NeurIPS Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	Provably Efficient Offline Reinforcement Learning With Trajectory-Wise Reward. IEEE Trans. Inf. Theory Tengyu Xu, Yue Wang, Shaofeng Zou, Yingbin Liang
2024	J	`jnl`	Quickest Change Detection in Autoregressive Models. IEEE Trans. Inf. Theory Zhongchang Sun, Shaofeng Zou
2024	J	`jnl`	Robust Average-Reward Reinforcement Learning. J. Artif. Intell. Res. Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2024	B	`conf`	Robust Multi-Hypothesis Testing with Moment-Constrained Uncertainty Sets. ISIT Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou
2024	A	`conf`	Sample Complexity Characterization for Linear Contextual MDPs. AISTATS Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang
2024	J	`jnl`	Sample Complexity Characterization for Linear Contextual MDPs. CoRR Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang
2024	—	`conf`	Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation. CODASPY Alessandro N. Baccarini, Marina Blanton, Shaofeng Zou
2024	J	`jnl`	What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
2023	A	`conf`	A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
2023	B	`conf`	Data-Driven Quickest Change Detection in Hidden Markov Models. ISIT Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou
2023	Misc	`conf`	Data-Driven Quickest Change Detection in Markov Models. ICASSP Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou
2023	J	`jnl`	Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty. J. Mach. Learn. Res. Shaocong Ma, Ziyi Chen, Shaofeng Zou, Yi Zhou
2023	J	`jnl`	Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. CoRR Yue Wang, Yuting Hu, Jinjun Xiong, Shaofeng Zou
2023	J	`jnl`	Kernel Robust Hypothesis Testing. IEEE Trans. Inf. Theory Zhongchang Sun, Shaofeng Zou
2023	A*	`conf`	Model-Free Robust Average-Reward Reinforcement Learning. ICML Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Model-Free Robust Average-Reward Reinforcement Learning. CoRR Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Quickest Anomaly Detection in Sensor Networks With Unlabeled Samples. IEEE Trans. Signal Process. Zhongchang Sun, Shaofeng Zou
2023	J	`jnl`	Quickest Change Detection in Autoregressive Models. CoRR Zhongchang Sun, Shaofeng Zou
2023	A*	`conf`	Robust Average-Reward Markov Decision Processes. AAAI Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Robust Average-Reward Markov Decision Processes. CoRR Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	Misc	`conf`	Robust Hypothesis Testing With Moment Constrained Uncertainty Sets. ICASSP Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou
2023	J	`jnl`	Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
2023	J	`jnl`	Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
2022	J	`jnl`	A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. CoRR Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
2022	—	`conf`	Data-Driven Robust Multi-Agent Reinforcement Learning. MLSP Yudan Wang, Yue Wang, Yi Zhou, Alvaro Velasquez, Shaofeng Zou
2022	J	`jnl`	Finite-Time Error Bounds for Greedy-GQ. CoRR Yue Wang, Yi Zhou, Shaofeng Zou
2022	J	`jnl`	Kernel Robust Hypothesis Testing. CoRR Zhongchang Sun, Shaofeng Zou
2022	A*	`conf`	Policy Gradient Method For Robust Reinforcement Learning. ICML Yue Wang, Shaofeng Zou
2022	J	`jnl`	Policy Gradient Method For Robust Reinforcement Learning. CoRR Yue Wang, Shaofeng Zou
2022	J	`jnl`	Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. IEEE Trans. Signal Process. Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li
2022	J	`jnl`	Robust Constrained Reinforcement Learning. CoRR Yue Wang, Fei Miao, Shaofeng Zou
2022	B	`conf`	Robust Hypothesis Testing with Kernel Uncertainty Sets. ISIT Zhongchang Sun, Shaofeng Zou
2022	J	`jnl`	Robust Hypothesis Testing with Moment Constrained Uncertainty Sets. CoRR Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou
2022	A*	`conf`	Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. ICML Ziyi Chen, Yi Zhou, Rong-Rong Chen, Shaofeng Zou
2022	J	`jnl`	Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation. CoRR Alessandro N. Baccarini, Marina Blanton, Shaofeng Zou
2021	B	`conf`	A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. ISIT Zhongchang Sun, Qunwei Li, Ruizhi Zhang, Shaofeng Zou
2021	B	`conf`	A Data-Driven Approach to Robust Hypothesis Testing Using Kernel MMD Uncertainty Sets. ISIT Zhongchang Sun, Shaofeng Zou
2021	C	`conf`	An Object Enhancement Method for Forward-Looking Sonar Images Based on Multi-Frame Fusion. ISCAS Shaofeng Zou, Jiawei Lin, Xuyang Wang, Guolin Li, Zhihua Wang, Xiang Xie
2021	J	`jnl`	Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process. CoRR Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan
2021	J	`jnl`	Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation. CoRR Yue Wang, Shaofeng Zou, Yi Zhou
2021	A*	`conf`	Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. ICLR Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
2021	J	`jnl`	Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. CoRR Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
2021	A*	`conf`	Learning Graph Neural Networks with Approximate Gradient Descent. AAAI Qunwei Li, Shaofeng Zou, Wenliang Zhong
2021	A*	`conf`	Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation. NeurIPS Yue Wang, Shaofeng Zou, Yi Zhou
2021	A*	`conf`	Online Robust Reinforcement Learning with Model Uncertainty. NeurIPS Yue Wang, Shaofeng Zou
2021	J	`jnl`	Online Robust Reinforcement Learning with Model Uncertainty. CoRR Yue Wang, Shaofeng Zou
2021	J	`jnl`	Population Risk Improvement with Model Compression: An Information-Theoretic Approach. Entropy Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
2021	B	`conf`	Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks. ISIT Zhongchang Sun, Shaofeng Zou
2021	J	`jnl`	Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. CoRR Ziyi Chen, Yi Zhou, Rongrong Chen, Shaofeng Zou
2021	J	`jnl`	Sequential (Quickest) Change Detection: Classical Results and New Directions. IEEE J. Sel. Areas Inf. Theory Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli
2020	J	`jnl`	A CNN-Based Blind Denoising Method for Endoscopic Images. CoRR Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang
2020	B	`conf`	A Game-Theoretic Approach to Sequential Detection in Adversarial Environments. ISIT Ruizhi Zhang, Shaofeng Zou
2020	A	`conf`	Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. UAI Yue Wang, Shaofeng Zou
2020	J	`jnl`	Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. CoRR Yue Wang, Shaofeng Zou
2020	A*	`conf`	Information-Theoretic Understanding of Population Risk Improvement with Model Compression. AAAI Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
2020	J	`jnl`	Learning Graph Neural Networks with Approximate Gradient Descent. CoRR Qunwei Li, Shaofeng Zou, Wenliang Zhong
2020	Misc	`conf`	Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. ICASSP Zhongchang Sun, Shaofeng Zou, Qunwei Li
2020	J	`jnl`	Quickest Detection of Dynamic Events in Networks. IEEE Trans. Inf. Theory Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley
2020	J	`jnl`	Tightening Mutual Information-Based Bounds on Generalization Error. IEEE J. Sel. Areas Inf. Theory Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
2020	A*	`conf`	Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. NeurIPS Shaocong Ma, Yi Zhou, Shaofeng Zou
2020	J	`jnl`	Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. CoRR Shaocong Ma, Yi Zhou, Shaofeng Zou
2019	—	`conf`	A CNN-Based Blind Denoising Method for Endoscopic Images. BioCAS Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang
2019	Misc	`conf`	A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks. ACSSC Jian Li, Don Towsley, Shaofeng Zou, Venugopal V. Veeravalli, Gabriela F. Ciocarlie
2019	—	`conf`	Detail Recovery in Medical Images Denoising. BioCAS Xuyang Wang, Mingzhu Long, Shaofeng Zou, Xiang Xie, Guolin Li, Zhihua Wang
2019	Misc	`conf`	Distributed Quickest Detection of Significant Events in Networks. ICASSP Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley, Ananthram Swami
2019	J	`jnl`	Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation. CoRR Shaofeng Zou, Tengyu Xu, Yingbin Liang
2019	A*	`conf`	Finite-Sample Analysis for SARSA with Linear Function Approximation. NeurIPS Shaofeng Zou, Tengyu Xu, Yingbin Liang
2019	J	`jnl`	Information-Theoretic Understanding of Population Risk Improvement with Model Compression. CoRR Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
2019	J	`jnl`	Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection. IEEE Trans. Signal Process. Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
2019	J	`jnl`	Quickest Change Detection Under Transient Dynamics: Theory and Asymptotic Analysis. IEEE Trans. Inf. Theory Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli
2019	B	`conf`	Quickest Detection of a Moving Target in a Sensor Network. ISIT Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli
2019	B	`conf`	Tightening Mutual Information Based Bounds on Generalization Error. ISIT Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
2019	J	`jnl`	Tightening Mutual Information Based Bounds on Generalization Error. CoRR Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
2019	A*	`conf`	Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. NeurIPS Tengyu Xu, Shaofeng Zou, Yingbin Liang
2019	J	`jnl`	Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. CoRR Tengyu Xu, Shaofeng Zou, Yingbin Liang
2018	J	`jnl`	Degraded Broadcast Channel With Secrecy Outside a Bounded Range. IEEE Trans. Inf. Theory Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai Shitz
2018	J	`jnl`	Estimation of KL Divergence: Optimal Minimax Rate. IEEE Trans. Inf. Theory Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli
2018	J	`jnl`	Quickest Detection of Dynamic Events in Networks. CoRR Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley
2018	Misc	`conf`	Quickest Detection of Dynamic Events in Sensor Networks. ICASSP Shaofeng Zou, Venugopal V. Veeravalli
2018	Misc	`conf`	Quickest Detection of Significant Events in Structured Networks. ACSSC Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley
2018	Misc	`conf`	Stochastic Control of Power Supply in Data Centers. ACSSC Georgios Rovatsos, Shaofeng Zou, Alejandro D. Domínguez-García, Venugopal V. Veeravalli
2017	B	`conf`	Asymptotic optimality of D-CuSum for quickest change detection under transient dynamics. ISIT Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli
2017	—	`conf`	Gaussian fading channel with secrecy outside a bounded range. CNS Shaofeng Zou, Yingbin Liang, Shlomo Shamai
2017	J	`jnl`	Linear Complexity Exponentially Consistent Tests for Outlying Sequence Detection. CoRR Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
2017	B	`conf`	Linear-complexity exponentially-consistent tests for universal outlying sequence detection. ISIT Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
2017	J	`jnl`	Nonparametric Detection of Anomalous Data Streams. IEEE Trans. Signal Process. Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
2017	J	`jnl`	Nonparametric Detection of Geometric Structures Over Networks. IEEE Trans. Signal Process. Shaofeng Zou, Yingbin Liang, H. Vincent Poor
2017	J	`jnl`	Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis. CoRR Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli
2017	Misc	`conf`	Quickest change detection under transient dynamics. ICASSP Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli
2016	J	`jnl`	Degraded Broadcast Channel with Secrecy Outside a Bounded Range. CoRR Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai
2016	J	`jnl`	Estimation of KL Divergence: Optimal Minimax Rate. CoRR Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli
2016	B	`conf`	Estimation of KL divergence between large-alphabet distributions. ISIT Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli
2016	B	`conf`	K-user degraded broadcast channel with secrecy outside a bounded range. ITW Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai
2016	Misc	`conf`	Nonparametric detection of an anomalous disk over a two-dimensional lattice network. ICASSP Shaofeng Zou, Yingbin Liang, H. Vincent Poor
2016	Misc	`conf`	Universal outlying sequence detection for continuous observations. ICASSP Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli
2015	J	`jnl`	An Information Theoretic Approach to Secret Sharing. IEEE Trans. Inf. Theory Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
2015	J	`jnl`	Broadcast Networks With Layered Decoding and Layered Secrecy: Theory and Applications. Proc. IEEE Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai
2015	B	`conf`	Degraded broadcast channel: Secrecy outside of a bounded range. ITW Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
2015	B	`conf`	Rate splitting and sharing for degraded broadcast channel with secrecy outside a bounded range. ISIT Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
2015	J	`jnl`	Universal Outlying sequence detection For Continuous Observations. CoRR Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli
2014	—	`conf`	A kernel-based nonparametric test for anomaly detection over line networks. MLSP Shaofeng Zou, Yingbin Liang, H. Vincent Poor
2014	J	`jnl`	An Information Theoretic Approach to Secret Sharing. CoRR Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
2014	—	`conf`	Kernel-based nonparametric anomaly detection. SPAWC Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
2014	B	`conf`	Layered secure broadcasting over MIMO channels and application in secret sharing. ISIT Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
2014	J	`jnl`	Nonparametric Detection of Anomalous Data via Kernel Mean Embedding. CoRR Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
2014	—	`conf`	Unsupervised nonparametric anomaly detection: A kernel method. Allerton Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
2013	—	`conf`	Layered decoding and secrecy over degraded broadcast channels. SPAWC Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
2013	B	`conf`	Multiple access channel with state uncertainty at transmitters. ISIT Shaofeng Zou, Yingbin Liang, Shlomo Shamai