| 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 | 78 | 2017 |
| 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 | 64 | 2019 |
| 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 | 48 | 2016 |
| A unified approach to synchronization problems over subgroups of the orthogonal group H Liu, MC Yue, AMC So Applied and Computational Harmonic Analysis 66, 320-372, 2023 | 31 | 2023 |
| 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 | 30 | 2017 |
| 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 | 21 | 2021 |
| 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 | 14 | 2022 |
| 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 | 14 | 2021 |
| 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 | 14 | 2019 |
| 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 | 13 | 2017 |
| 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 | 12 | 2023 |
| 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 | 12 | 2023 |
| 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 | 8 | 2023 |
| 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 | 7 | 2023 |
| 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 | 6 | 2022 |
| 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 | 6 | 2018 |
| 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 | 5 | 2023 |
| 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 | 5 | 2020 |
| 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 | 4 | 2022 |
| ReSync: Riemannian subgradient-based robust rotation synchronization H Liu, X Li, AMC So Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Anthony Man-Cho SoDepartment of Systems Engineering and Engineering Management, The Chinese University of Hong Kong在 se.cuhk.edu.hk 的电子邮件经过验证
