Projects

Our research is generously supported by NSF and University at Buffalo, the State University of New York.

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  • CRII: CIF: Dynamic Network Event Detection with Time-Series Data
    Sole PI
    June 1, 2020-May 31, 2022

  • CIF: Small: Reinforcement Learning with Function Approximation: Convergent Algorithms and Finite-sample Analysis
    Sole PI
    October 1, 2020-September 30, 2023

  • Collaborative Research: CIF: Medium: Emerging Directions in Robust Learning and Inference
    PI (at Buffalo), with V. Veeravalli (Lead, UIUC) and G. Atia (UCF)
    June 1, 2021-May 30 2025

  • CCSS: Collaborative Research: Quickest Threat Detection in Adversarial Sensor Networks
    PIs: Shaofeng Zou (Lead, UB), Ruizhi Zhang (UNL)
    September 1, 2021-August 31, 2024

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Publications

Book Chapters

  1. Data-Driven Approaches for Detecting and Identifying Anomalous Data Streams
    S. Zou, Y. Liang, H. V. Poor, X. Shi
     Signal Processing and Machine Learning for Biomedical Big Data, edited by Ervin Sejdic and Tiago Falk, CRC Press, 2018.

  2. A Broadcast Approach to Fading Channels under Secrecy Constraints
    S. Zou, Y. Liang, L. Lai, H. V. Poor, S. Shamai
    Information-Theoretic Perspectives on 5G Systems and Beyond, Edited by Ivana Maric, Osvaldo Simeone, Shlomo Shamai (Shitz), Cambridge University Press, 2017.

Journal Publications and Submissions

  1. Kernel Robust Hypothesis Testing
    Z. Sun, S. Zou
    submitted to IEEE Transactions on Information Theory, Mar. 2022.

  2. Population Risk Improvement with Model Compression: An Information-Theoretic Approach
    Y. Bu, W. Gao, S. Zou, and V. V. Veeravalli
    Entropy, Sept. 2021.

  3. Sequential Moving Anomaly Detection with Anonymized Samples
    Z. Sun, S. Zou
    submitted to IEEE Transactions on Information Theory, Dec. 2020

  4. Adversarially robust sequential hypothesis testing
    S. Cao, R. Zhang, S. Zou
    Sequential Analysis, 2022

  5. Quickest Change Detection in Anonymous Heterogeneous Sensor Networks
    Z. Sun, S. Zou, R. Zhang, Q. Li
    IEEE Transactions on Signal Processing, 2022.

  6. Sequential Change Detection: Classical Results and New Directions
    L. Xie, S. Zou, Y. Xie, V. V. Veeravalli
    IEEE Journal on Selected Areas in Information Theory, 2021.

  7. Tightening Mutual Information Based Bounds on Generalization Error
    Y. Bu, S. Zou, V. V. Veeravalli
    IEEE Journal on Selected Areas in Information Theory, May 2020.

  8. Sequential Algorithms for Moving Anomaly Detection in Networks
    G. Rovatsos, S. Zou, V. V. Veeravalli
    Sequential Analysis, 2020.

  9. Quickest Detection of Dynamic Events in Networks
    S. Zou, V. V. Veeravalli, J. Li, D. Towsley
    IEEE Transactions on Information Theory, 2020.

  10. Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection
    Y. Bu, S. Zou, V. V. Veeravalli
    IEEE Transactions on Signal Processing, vol. 67, no. 8, pp. 2115-2128, April 15, 2019.

  11. Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis
    S. Zou, G. Fellouris, V. V. Veeravalli
    IEEE Transactions on Information Theory, vol. 65, no. 3, pp. 1397-1412, March 2019.

  12. Estimation of KL Divergence: Optimal Minimax Rate
    Y. Bu*, S. Zou*, Y. Liang, V. V. Veeravalli
    IEEE Transactions on Information Theory, vol. 64, no. 4, pp. 2648-2674, April 2018. (Bu and Zou contributed equally).

  13. Degraded Broadcast Channel with Secrecy Outside a Bounded Range
    S. Zou, Y. Liang, L. Lai, H. V. Poor, S. Shamai (Shitz)
    IEEE Transactions on Information Theory, vol. 64, no. 3, pp. 2104-2120, Mar. 2018.

  14. Nonparametric Detection of Anomalous Data Streams
    S. Zou, Y. Liang, H. V. Poor, X. Shi
    IEEE Transactions on Signal Processing, vol. 65, no. 21, pp. 5785-5797, Nov. 2017.

  15. Nonparametric Detection of Geometric Structures over Networks
    S. Zou, Y. Liang, H. V. Poor
    IEEE Transactions on Signal Processing, vol. 65, no. 19, pp. 5034-5046, Oct. 2017.

  16. Broadcast Networks with Layered Decoding and Layered Secrecy: Theory and Applications
    S. Zou, Y. Liang, L. Lai, H. V. Poor, S. Shamai (Shitz)
    Proceedings of the IEEE, vol.103, no.10, pp.1841-1856, Oct. 2015.

  17. An Information Theoretic Approach to Secret Sharing
    S. Zou, Y. Liang, L. Lai, S. Shamai (Shitz)
    IEEE Transactions on Information Theory, vol.61, no.6, pp.3121-3136, June 2015.

Conference Publications

2022

2021

  • Online Robust Reinforcement Learning with Model Uncertainty
    Y. Wang, S. Zou
    Conference on Neural Information Processing Systems (NeurIPS), Virtual, Dec 2021. (acceptance rate: 26%)

  • Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
    Y. Wang, S. Zou, Y. Zhou
    Conference on Neural Information Processing Systems (NeurIPS), Virtual, Dec 2021. (acceptance rate: 26%)

  • Quickest Detection of Series Arc Faults on DC Microgrids
    K. Gajula, V. Le, X. Yao, S. Zou, L. Herrera
    IEEE Energy Conversion Congress and Exposition (ECCE), 2021

  • A Data-Driven Approach to Robust Hypothesis Testing Using Kernel MMD Uncertainty Sets
    Z. Sun, S. Zou
    IEEE International Symposium on Information Theory (ISIT), 2021

  • Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks
    Z. Sun, S. Zou
    IEEE International Symposium on Information Theory (ISIT), 2021

  • A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks
    Z. Sun, Q. Li, R. Zhang, S. Zou
    IEEE International Symposium on Information Theory (ISIT), 2021

  • Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
    S. Ma, Y. Zhou, S. Zou
    International Conference on Learning Representations (ICLR) 2021 (acceptance rate: 28.7%)

2020

2019

  • Finite-Sample Analysis for SARSA with Linear Function Approximation
    S. Zou, T. Xu, Y. Liang
    Conference on Neural Information Processing Systems (NeurIPS), Vancouver CA, Dec 2019. (acceptance rate: 21%)
    Poster
    Slides

  • Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
    T. Xu, S. Zou, Y. Liang
    Conference on Neural Information Processing Systems (NeurIPS), Vancouver CA, Dec 2019. (acceptance rate: 21%)
    Poster

  • A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks
    J. Li, D. Towsley, S. Zou, V. V. Veeravalli and G. Ciocarlie
    Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2019.

  • Tightening Mutual Information Based Bounds on Generalization Error
    Y. Bu, S. Zou, V. V. Veeravalli
    IEEE International Symposium on Information Theory (ISIT), June 2019.

  • Quickest Detection of a Moving Target in a Sensor Network
    G. Rovatsos, S. Zou, V. V. Veeravalli
    IEEE International Symposium on Information Theory (ISIT), June 2019.

  • Distributed Quickest Detection of Significant Events in Networks
    S. Zou, V. V. Veeravalli, J. Li, D. Towsley, A. Swami
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.

2018

  • Quickest Detection of Significant Events in Structured Networks
    S. Zou, V. V. Veeravalli, J. Li, D. Towsley
    Asilomar Conference on Signals, Systems, and Computers, Oct. 2018.

  • Stochastic Control of Power Supply in Data Centers
    G. Rovatsos, S. Zou, A. Dominguez-Garcia, V. V. Veeravalli
    Asilomar Conference on Signals, Systems, and Computers, Oct. 2018.

  • Quickest Detection of Dynamic Events in Sensor Networks
    S. Zou, V. V. Veeravalli
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Alberta, Canada, April. 2018.

2017

2016

2015

2014

2013

Preprints