Zirui Zhou
Title
Cited by
Cited by
Year
A unified approach to error bounds for structured convex optimization problems
Z Zhou, AMC So
Mathematical Programming 165 (2), 689-728, 2017
1122017
Beyond convex relaxation: A polynomial-time non-convex optimization approach to network localization
S Ji, KF Sze, Z Zhou, AMC So, Y Ye
2013 Proceedings IEEE INFOCOM, 2499-2507, 2013
672013
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization.
K Hou, Z Zhou, AMC So, ZQ Luo
NIPS, 710-718, 2013
602013
\ell_1, p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods
Z Zhou, Q Zhang, AMC So
International Conference on Machine Learning, 1501-1510, 2015
402015
Non-asymptotic convergence analysis of inexact gradient methods for machine learning without strong convexity
AMC So, Z Zhou
Optimization Methods and Software 32 (4), 963-992, 2017
382017
Personalized cross-silo federated learning on non-iid data
Y Huang, L Chu, Z Zhou, L Wang, J Liu, J Pei, Y Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7865-7873, 2021
292021
A family of inexact SQA methods for non-smooth convex minimization with provable convergence guarantees based on the Luo–Tseng error bound property
MC Yue, Z Zhou, AMC So
Mathematical Programming, 1-32, 2018
28*2018
Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization
Z Lu, Z Zhou, Z Sun
Mathematical Programming, 1-33, 2018
242018
On the quadratic convergence of the cubic regularization method under a local error bound condition
MC Yue, Z Zhou, A Man-Cho So
SIAM Journal on Optimization 29 (1), 904-932, 2019
132019
Latent aspect mining via exploring sparsity and intrinsic information
Y Xu, T Lin, W Lam, Z Zhou, H Cheng, AMC So
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
132014
Nonmonotone enhanced proximal DC algorithms for a class of structured nonsmooth DC programming
Z Lu, Z Zhou
SIAM Journal on Optimization 29 (4), 2725-2752, 2019
112019
Personalized federated learning: An attentive collaboration approach
Y Huang, L Chu, Z Zhou, L Wang, J Liu, J Pei, Y Zhang
arXiv e-prints, arXiv: 2007.03797, 2020
102020
Error bounds for structured convex programming: theory and applications
Z Zhou
PhD thesis, The Chinese University of Hong Kong, 2015
42015
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model
P Wang, Z Zhou, AMC So
International Conference on Machine Learning, 10126-10135, 2020
22020
Non-convex exact community recovery in stochastic block model
P Wang, Z Zhou, AMC So
Mathematical Programming, 1-37, 2021
12021
FedFair: Training Fair Models In Cross-Silo Federated Learning
L Chu, L Wang, Y Dong, J Pei, Z Zhou, Y Zhang
arXiv preprint arXiv:2109.05662, 2021
12021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
P Wang, H Liu, Z Zhou, AMC So
arXiv preprint arXiv:2106.05644, 2021
12021
Penalty and Augmented Lagrangian Methods for Constrained DC Programming
Z Lu, Z Sun, Z Zhou
arXiv preprint arXiv:2111.09263, 2021
2021
Network-wide Traffic Signal Optimization under Connected Vehicles Environment
L Hu, L Wang, Z Zhou, Z Sheng, Y Zhang
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
2021
Improving Fairness for Data Valuation in Federated Learning
Z Fan, H Fang, Z Zhou, J Pei, MP Friedlander, C Liu, Y Zhang
arXiv preprint arXiv:2109.09046, 2021
2021
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