Hoi-To Wai @ CUHK


Assistant Professor

Department of Systems Engineering and Engineering Management

The Chinese University of Hong Kong, Hong Kong

Email: htwai at se dot cuhk dot edu dot hk

Links: My CV, Department Profile, Google Scholar

We are organizing the One World Signal Processing Seminar, with virtual seminars on Distributed Signal Processing, Data Science and Communications. Please subscribe to our mailing list!

About Me

I am an Assistant Professor at the Department of Systems Engineering and Engineering Management in The Chinese University of Hong Kong (CUHK). I also received my B. Eng (with first class Honor) and M. Phil. from CUHK, working with Prof. Wing-kin (Ken) Ma in Spring 2010 and 2012, respectively. I received my PhD degree from Arizona State University in Fall 2017, working with Prof. Anna Scaglione.

Besides ASU and CUHK, I have held research positions at LIDS, MIT working with Prof. Asuman E. Ozdaglar, and at Télécom ParisTech, Ecole Polytechnique, working with Prof. Eric Moulines, and at UC Davis as a PhD student with Anna before transferring to ASU. I have received the 2017's Dean's Dissertation Award at ASU's Ira A. Fulton Schools of Engineering (Full Circle), and a Best Student Paper Award from IEEE ICASSP 2018 (paper).

My current research focus is on:

  • Network science and graph learning problem

  • Optimization theory applied to machine learning and distributed signal processing

I am looking for mathematically inclined and motivated students/Postdoc interested in optimization theory for machine learning, reinforcement learning or graph signal processing problems. Please contact me if you are interested. Also consider applying for the HK PhD Fellowship Scheme which offers great support for studying in CUHK.

Recent News

  • May, 2021: The paper “On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning” (with Alain, Eric, Alexey and Sergey) is accepted at COLT 2021, see the preprint.

  • May, 2021: The paper “On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients” (with Berkay, Cesar and Mahnoosh) is accepted and presented at ACC 2021, see the preprint.

  • February, 2021: Three papers accepted at ICASSP 2021:

    • Idenftifying First-Order Lowpass Graph Signals Using Perron Frobenius Theorem (with Yiran) preprint

    • Provably Fast Asynchronous and Distributed Algorithms for PageRank Centrality Computation (with Yiran)

    • GEOM-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-sum Optimization (with Gersende and Eric) preprint