Shaofeng Zou

Orcid: 0000-0002-2821-6941

According to our database1, Shaofeng Zou authored at least 78 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sample Complexity Characterization for Linear Contextual MDPs.
CoRR, 2024

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Kernel Robust Hypothesis Testing.
IEEE Trans. Inf. Theory, October, 2023

Quickest Anomaly Detection in Sensor Networks With Unlabeled Samples.
IEEE Trans. Signal Process., 2023

Quickest Change Detection in Autoregressive Models.
CoRR, 2023

Robust Multi-Agent Reinforcement Learning with State Uncertainty.
CoRR, 2023

Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning.
CoRR, 2023

Data-Driven Quickest Change Detection in Hidden Markov Models.
Proceedings of the IEEE International Symposium on Information Theory, 2023

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems.
IROS, 2023

Model-Free Robust Average-Reward Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Data-Driven Quickest Change Detection in Markov Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Hypothesis Testing With Moment Constrained Uncertainty Sets.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Average-Reward Markov Decision Processes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Quickest Change Detection in Anonymous Heterogeneous Sensor Networks.
IEEE Trans. Signal Process., 2022

Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation.
CoRR, 2022

A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems.
CoRR, 2022

Robust Constrained Reinforcement Learning.
CoRR, 2022

Finite-Time Error Bounds for Greedy-GQ.
CoRR, 2022

Data-Driven Robust Multi-Agent Reinforcement Learning.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Robust Hypothesis Testing with Kernel Uncertainty Sets.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Policy Gradient Method For Robust Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis.
Proceedings of the International Conference on Machine Learning, 2022

2021
Sequential (Quickest) Change Detection: Classical Results and New Directions.
IEEE J. Sel. Areas Inf. Theory, 2021

Population Risk Improvement with Model Compression: An Information-Theoretic Approach.
Entropy, 2021

Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process.
CoRR, 2021

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis.
CoRR, 2021

Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation.
CoRR, 2021

Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Robust Reinforcement Learning with Model Uncertainty.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Data-Driven Approach to Robust Hypothesis Testing Using Kernel MMD Uncertainty Sets.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2021

A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2021

An Object Enhancement Method for Forward-Looking Sonar Images Based on Multi-Frame Fusion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Graph Neural Networks with Approximate Gradient Descent.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Quickest Detection of Dynamic Events in Networks.
IEEE Trans. Inf. Theory, 2020

Tightening Mutual Information-Based Bounds on Generalization Error.
IEEE J. Sel. Areas Inf. Theory, 2020

Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Game-Theoretic Approach to Sequential Detection in Adversarial Environments.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Quickest Change Detection In Anonymous Heterogeneous Sensor Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Information-Theoretic Understanding of Population Risk Improvement with Model Compression.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection.
IEEE Trans. Signal Process., 2019

Quickest Change Detection Under Transient Dynamics: Theory and Asymptotic Analysis.
IEEE Trans. Inf. Theory, 2019

Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation.
CoRR, 2019

Finite-Sample Analysis for SARSA with Linear Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quickest Detection of a Moving Target in a Sensor Network.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Distributed Quickest Detection of Significant Events in Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

A CNN-Based Blind Denoising Method for Endoscopic Images.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

Detail Recovery in Medical Images Denoising.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Degraded Broadcast Channel With Secrecy Outside a Bounded Range.
IEEE Trans. Inf. Theory, 2018

Estimation of KL Divergence: Optimal Minimax Rate.
IEEE Trans. Inf. Theory, 2018

Quickest Detection of Dynamic Events in Sensor Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Quickest Detection of Significant Events in Structured Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Stochastic Control of Power Supply in Data Centers.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Nonparametric Detection of Anomalous Data Streams.
IEEE Trans. Signal Process., 2017

Nonparametric Detection of Geometric Structures Over Networks.
IEEE Trans. Signal Process., 2017

Linear Complexity Exponentially Consistent Tests for Outlying Sequence Detection.
CoRR, 2017

Asymptotic optimality of D-CuSum for quickest change detection under transient dynamics.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Quickest change detection under transient dynamics.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Gaussian fading channel with secrecy outside a bounded range.
Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017

2016
K-user degraded broadcast channel with secrecy outside a bounded range.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Estimation of KL divergence between large-alphabet distributions.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Nonparametric detection of an anomalous disk over a two-dimensional lattice network.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Universal outlying sequence detection for continuous observations.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
An Information Theoretic Approach to Secret Sharing.
IEEE Trans. Inf. Theory, 2015

Broadcast Networks With Layered Decoding and Layered Secrecy: Theory and Applications.
Proc. IEEE, 2015

Degraded broadcast channel: Secrecy outside of a bounded range.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Rate splitting and sharing for degraded broadcast channel with secrecy outside a bounded range.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Nonparametric Detection of Anomalous Data via Kernel Mean Embedding.
CoRR, 2014

Kernel-based nonparametric anomaly detection.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

A kernel-based nonparametric test for anomaly detection over line networks.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Layered secure broadcasting over MIMO channels and application in secret sharing.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Unsupervised nonparametric anomaly detection: A kernel method.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Layered decoding and secrecy over degraded broadcast channels.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Multiple access channel with state uncertainty at transmitters.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013


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