Követés
Huikang Liu
Huikang Liu
Associate professor, Shanghai Jiao Tong University
E-mail megerősítve itt: se.cuhk.edu.hk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
On the estimation performance and convergence rate of the generalized power method for phase synchronization
H Liu, MC Yue, A Man-Cho So
SIAM Journal on Optimization 27 (4), 2426-2446, 2017
782017
Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced …
H Liu, AMC So, W Wu
Mathematical Programming 178 (1), 215-262, 2019
642019
Quadratic optimization with orthogonality constraints: Explicit lojasiewicz exponent and linear convergence of line-search methods
H Liu, W Wu, AMC So
International Conference on Machine Learning, 1158-1167, 2016
492016
A unified approach to synchronization problems over subgroups of the orthogonal group
H Liu, MC Yue, AMC So
arXiv preprint arXiv:2009.07514, 2020
312020
A discrete first-order method for large-scale MIMO detection with provable guarantees
H Liu, MC Yue, AMC So, WK Ma
2017 IEEE 18th International Workshop on Signal Processing Advances in …, 2017
312017
Optimal non-convex exact recovery in stochastic block model via projected power method
P Wang, H Liu, Z Zhou, AMC So
International Conference on Machine Learning, 10828-10838, 2021
222021
A penalty alternating direction method of multipliers for convex composite optimization over decentralized networks
J Zhang, H Liu, AMC So, Q Ling
IEEE Transactions on Signal Processing 69, 4282-4295, 2021
142021
Globally convergent accelerated proximal alternating maximization method for l1-principal component analysis
P Wang, H Liu, AMC So
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
142019
Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for -Norm Principal Component Analysis
P Wang, H Liu, AMC So
SIAM Journal on Optimization 33 (2), 684-712, 2023
132023
Linear convergence analysis of neural collapse with unconstrained features
P Wang, H Liu, C Yaras, L Balzano, Q Qu
OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022
132022
Local strong convexity of maximum-likelihood TDOA-based source localization and its algorithmic implications
H Liu, YM Pun, AMC So
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
132017
A convergent single-loop algorithm for relaxation of gromov-wasserstein in graph data
J Li, J Tang, L Kong, H Liu, J Li, AMC So, J Blanchet
arXiv preprint arXiv:2303.06595, 2023
102023
Variance-reduced stochastic quasi-newton methods for decentralized learning
J Zhang, H Liu, AMC So, Q Ling
IEEE Transactions on Signal Processing 71, 311-326, 2023
82023
Optimal hospital care scheduling during the SARS-CoV-2 pandemic
JC D’Aeth, S Ghosal, F Grimm, D Haw, E Koca, K Lau, H Liu, S Moret, ...
Management Science 69 (10), 5923-5947, 2023
72023
A communication-efficient decentralized newton's method with provably faster convergence
H Liu, J Zhang, AMC So, Q Ling
IEEE Transactions on Signal and Information Processing over Networks, 2023
72023
Convergence and recovery guarantees of the k-subspaces method for subspace clustering
P Wang, H Liu, AMC So, L Balzano
International Conference on Machine Learning, 22884-22918, 2022
62022
LPA-SD: An efficient first-order method for single-group multicast beamforming
R Jiang, H Liu, AMC So
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
62018
Nonconvex robust synchronization of rotations
H Liu, Z Deng, X Li, S Chen, AMC So
Proc. NeurIPS Annu. Workshop Optim. Mach. Learn.(OPT), 1-7, 2020
52020
Fast and provably convergent algorithms for gromov-wasserstein in graph learning
J Li, J Tang, L Kong, H Liu, J Li, AMC So, J Blanchet
arXiv preprint arXiv:2205.08115, 2022
42022
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization
H Liu, X Li, AMC So
Advances in Neural Information Processing Systems 36, 2024
32024
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