Welcome to Shaofeng Zou's Homepage

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Research

My research interests include statistical signal processing, machine learning and information theory.

Current research projects include:

  • Reinforcement learning

  • Generalization and model compression in machine learning

  • Security and privacy

  • Event detection in networks

  • Quickest change detection and sequential analysis

About me

I am an Assistant Professor with the Department of Electrical Engineering at University at Buffalo, The State University of New York. I was a postdoc at Coordinated Science Lab, University of Illinois at Urbana-Champaign from Jul 2016 to Aug 2018, supervised by Prof. Venugopal V. Veeravalli. I completed the Ph.D. degree in Electrical and Computer Engineering from Syracuse University in May, 2016, supervised by Prof. Yingbin Liang. I received the B. E. degree (with honors) from Shanghai Jiao Tong University in 2011.

To Prospective Students

  • PhD students: Students with strong backgrounds in machine learning, signal processing, communication networks, mathematics, and statistics are encouraged to email me about potential positions in our group. Please include your resume, undergraduate/graduate transcripts.

    • Currently, one fully funded PhD student position is available.

  • Research Opportunities for Undergraduate/Master Students: Both master and undergraduate students at the University at Buffalo are encouraged to discuss with me if you are interested in my research.

  • Visiting scholars/students are also highly welcome.

News!

  • Sep 2020, our paper, “Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis”, has been accepted by NeurIPS 2020 (acceptance rate: 20.1%)!

  • June 2020, I received grant as sole PI from NSF: “CIF: Small: Reinforcement Learning with Function Approximation: Convergent Algorithms and Finite-sample Analysis”. Thanks to NSF!

  • May 2020, Our paper, “Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise” has been accepted by Conference on Uncertainty in Artificial Intelligence (UAI) 2020 (acceptance rate: 27.6%)! Congrats to Yue Wang!

  • April 2020, Our paper, “Tightening Mutual Information Based Bounds on Generalization Error” has been accepted for publication on IEEE Journal on Selected Areas in Information Theory!

  • Mar 2020, Our paper, “A Game-Theoretic Approach to Sequential Detection in Adversarial Environments” has been accepted by IEEE ISIT 2020!

  • Mar 2020, One journal paper, “Sequential algorithms for moving anomaly detection in networks” has been accepted for publication on Sequential Analysis!

  • Feb 2020, I received NSF CRII award “CRII: CIF: Dynamic Network Event Detection with Time-Series Data”. Thanks to NSF!

  • Feb 2020, I gave a presentation “Finite-Sample Analysis for SARSA with Linear Function Approximation” at Information Theory and Applications Workshop - ITA, San Diego, USA.

  • Jan 2020, Zhongchang's paper “Quickest Change Detection in Anonymous Heterogeneous Sensor Networks”, has been accepted by IEEE ICASSP 2020!

  • Nov 2019, Dr. Zou has been elected to the IEEE Signal Processing for Communications and Networking (SPS SPCOM) Technical Committee (TC) for a 3-year term, effective January 1, 2020.

  • Nov 2019, One paper, “Information-Theoretic Understanding of Population Risk Improvement with Model Compression” has been accepted by AAAI 2020 (acceptance rate: 20.6%) !

  • Oct 2019, One paper, “Quickest Detection of Dynamic Events in Networks”, has been accepted for publication on IEEE Transactions on Information Theory!

  • Sep 2019, Two papers, “Finite-Sample Analysis for SARSA with Linear Function Approximation” and “Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples”, have been accepted by NeurIPS 2019 (acceptance rate: 21%)! See you in Vancouver!

  • Mar 2019, Two papers, “Tightening Mutual Information Based Bounds on Generalization Error” and “Quickest Detection of a Moving Target in a Sensor Network”, have been accepted by IEEE ISIT 2019!

  • Feb 2019, One paper, “Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection”, has been accepted for publication on IEEE Transactions on Signal Processing!

  • Jan. 2019, One paper, “Distributed Quickest Detection of Significant Events in Networks”, has been accepted by IEEE ICASSP 2019!

  • Oct. 2018, One paper, “Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis”, has been accepted for publication on IEEE Transactions on Information Theory!