Prof. WAI, Hoi To 韋 凱 滔 教授
Assistant Professor
BEng, MPhil (CUHK)
PhD (Arizona State University)
Research Interests:
* Optimization Algorithms
* Signal Processing on
_Graphs
* Graph Topology Inference
* Data Analytics
Office: Room 508, William M.W. Mong Engineering Building
Tel: (852) 3943-8240
Email: htwai@se.cuhk.edu.hk
Biography
Hoi-To Wai received his PhD degree from Arizona State University (ASU) in Electrical Engineering in Fall 2017, B. Eng. (with First Class Honor) and M. Phil. degrees in Electronic Engineering from The Chinese University of Hong Kong (CUHK) in 2010 and 2012, respectively. He is currently an Assistant Professor in the Department of Systems Engineering and Engineering Management at CUHK. Previously he has held research positions at ASU (USA), UC Davis (USA), Telecom ParisTech (France), Ecole Polytechnique (France), and LIDS, MIT (USA).
His research interests are in the broad area of optimization algorithms, network science, machine learning and signal processing. He has received a Best Student Paper Award from ICASSP 2018, and the 2017’s Dean’s Dissertation Award from the Ira A. Fulton Schools of Engineering of ASU for his thesis on network science and distributed optimization.
Selected Publications
M. Kaledin, E. Moulines, A. Naumov, V. Tadic, H.-T. Wai, “Finite time analysis of linear two-timescale stochastic approximation with Markovian noise”, in Proceedings of COLT, 2020.
T.-H. Chang, M. Hong, H.-T. Wai, X. Zhang, S. Lu, “Distributed Learning in the Nonconvex World: From batch data to streaming and beyond”, IEEE Signal Processing Magazine, 2020.
H.-T. Wai, S. Segarra, A. E. Ozdaglar, A. Scaglione and A. Jadbabaie, “Blind community detection from low-rank excitations of a graph filter”, IEEE Transactions on Signal Processing, 2020.
H.-T. Wai, W. Shi, C. A. Uribe, A. Nedić and A. Scaglione, “Accelerating incremental gradient optimization with curvature information”, Computational Optimization and Applications, 2020.
B. Karimi, B. Miasojedow, E. Moulines, and H.-T. Wai, “Non-asymptotic Analysis of Biased Stochastic Approximation Scheme”, in Proceedings of COLT, 2019.
H.-T. Wai, Z. Yang, Z. Wang, and M. Hong, “Multi-agent reinforcement learning via double averaging primal-dual optimization”, in Proceedings of NeurIPS, 2018.
H.-T. Wai, J. Lafond, A. Scaglione and E. Moulines, “Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Optimization”, IEEE Transactions on Automatic Control, Nov., 2017.
H.-T. Wai, A. Scaglione and A. Leshem, “Active Sensing of Social Networks”, IEEE Transactions on Signal and Information Processing over Networks, Sept., 2016.