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Huikang Liu
Huikang Liu
Assistant professor, Shanghai University of Finance and Economics
在 se.cuhk.edu.hk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
682017
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, 215-262, 2019
532019
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
452016
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
272017
A unified approach to synchronization problems over subgroups of the orthogonal group
H Liu, MC Yue, AMC So
Applied and Computational Harmonic Analysis, 2023
172023
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
152021
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
122019
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
112017
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
9*2023
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
72021
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, 2023
52023
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
52018
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
Nonconvex robust synchronization of rotations
H Liu, Z Deng, X Li, S Chen, AC So
Proc. NeurIPS Annu. Workshop Optim. Mach. Learn.(OPT), 1-7, 2020
42020
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
32023
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
32022
Is There Any Recovery Guarantee with Coupled Structured Matrix Factorization for Hyperspectral Super-Resolution?
H Liu, R Wu, WK Ma
arXiv preprint arXiv:1907.12728, 2019
32019
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
22023
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
22023
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
22022
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