Hoi-To Wai

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

Brief Bio

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

My PhD dissertation received the 2017's Dean's Dissertation Award at ASU's Ira A. Fulton Schools of Engineering [Coverage on Full Circle]. I am interested in research on:

  • Network Science and in particular the Network Topology Inference Problem
  • Optimization theory applied to machine learning and signal processing, including distributed optimization
  • I am looking for motivated students and Postdoc interested in working with network data or optimization theory for machine learning. Contact me if you are interested.

    Check out my CV [here].

    Recent News

    • Jan. 2019: I have given two invited talks: one at Telecom 2019 in Taichung, and one at National Tsing Hua University.
    • Dec. 2018: Officially started at Department of SEEM, CUHK as an Assistant Professor.
    • Sept. 2018: Check out the preprint of our new paper, "Blind Community Detection from Low-rank Excitations of a Graph Filter" (with Santiago, Asu, Anna, and Ali) [PDF]
    • Recent Publications

      • S.-X. Wu, H.-T. Wai and A. Scaglione, ``Estimating Social Opinion Dynamics Models from Voting Records'', in IEEE Transactions on Signal Processing, Mar., 2018, to appear.
      • H.-T. Wai, W. Shi, A. Nedich and A. Scaglione, ``Curvature-aided Incremental Aggregated Gradient Method'', in Prof. Allerton, Oct., 2017, to appear.
      • H.-T. Wai, J. Lafond, A. Scaglione and E. Moulines, ``Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems'', IEEE Transactions on Automatic Control, Nov., 2017.

    Recent Awards and Honors

    • Best Student Paper Award for the paper on "Community Detection from Low Rank Excitations of a Graph Filter", IEEE ICASSP 2018.
    • Dean's Dissertation Award, Ira A. Fulton Schools of Engineering, 2017 [Full Circle]