Prof. WAI, Hoi To 韋 凱 滔 教授
BEng, MPhil (CUHK)
PhD (Arizona State University)
* Optimization Algorithms
* Signal Processing on Graphs
* Graph Topology Inference
* Data Analytics
Office: Room 508, William M.W. Mong Engineering Building
Tel: (852) 3943-8240
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. Previously, he has held research positions at ASU, UC Davis, Telecom ParisTech, Ecole Polytechnique, and LIDS of MIT. Hoi-To’s current research interests are in the broad area of signal processing, machine learning and optimization, with a focus of their applications to network science. His dissertation on network science has received the 2017’s Dean’s Dissertation Award from the Ira A. Fulton Schools of Engineering of ASU and he is a recipient of a Best Student Paper Award at ICASSP 2018.
H.-T. Wai, N. M. Freris, A. Nedic ́, and A. Scaglione, “SUCAG: Stochastic unbiased curvature-aidedgradient method for distributed optimization”, In Proceedings of CDC, 2018.
G. Robin, H.-T. Wai, J. Josse, O. Klopp and E. Moulines, “Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames”, in Proceedings of NeurIPS, 2018.
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, S. Segarra, A. E. Ozdaglar, A. Scaglione and A. Jadbabaie, “Community Detection from Low Rank Excitations of a Graph Filter”, in Proceedings of ICASSP 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.