| Support vector machine classifier via soft-margin loss H Wang, Y Shao, S Zhou, C Zhang, N Xiu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 7253 …, 2022 | 129 | 2022 |
| Global and quadratic convergence of Newton hard-thresholding pursuit S Zhou, N Xiu, HD Qi Journal of Machine Learning Research 22 (12), 1-45, 2021 | 77 | 2021 |
| Federated learning via inexact ADMM S Zhou, GY Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 2023 | 65 | 2023 |
| Sparse SVM for sufficient data reduction S Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5560-5571, 2022 | 55 | 2022 |
| A convergent iterative hard thresholding for nonnegative sparsity optimization L Pan, S Zhou, N Xiu, HD Qi Pacific Journal of Optimization 13 (2), 325-353, 2017 | 50* | 2017 |
| On solutions of sparsity constrained optimization LL Pan, NH Xiu, SL Zhou Journal of the Operations Research Society of China 3, 421-439, 2015 | 50 | 2015 |
| Communication-efficient ADMM-based federated learning S Zhou, GY Li arXiv preprint arXiv:2110.15318, 2021 | 31 | 2021 |
| An extended Newton-type algorithm for -regularized sparse logistic regression and its efficiency for classifying large-scale datasets R Wang, N Xiu, S Zhou Journal of Computational and Applied Mathematics 39, 1-17, 2021 | 31* | 2021 |
| A null-space-based weighted l1 minimization approach to compressed sensing S Zhou, N Xiu, Y Wang, L Kong, HD Qi Information and Inference: A Journal of the IMA 5 (1), 76-102, 2016 | 30* | 2016 |
| A fast matrix majorization-projection method for penalized stress minimization with box constraints S Zhou, N Xiu, HD Qi IEEE Transactions on Signal Processing 66 (16), 4331-4346, 2018 | 28 | 2018 |
| BOLIB 2019: Bilevel Optimization LIBrary of test problems version 2 S Zhou, AB Zemkoho, A Tin | 26* | 2019 |
| Theoretical and numerical comparison of the Karush-Kuhn-Tucker and value function reformulations in bilevel optimization A Zemkoho, S Zhou Computational Optimization and Applications 78, 625–674, 2021 | 25 | 2021 |
| Semismooth Newton-type method for bilevel optimization: Global convergence and extensive numerical experiments A Fischer, AB Zemkoho, S Zhou Optimization Methods and Software, 2021 | 24 | 2021 |
| Newton method for l0-regularized optimization S Zhou, L Pan, N Xiu Numerical Algorithms 88, 1541–1570, 2021 | 22* | 2021 |
| Quadratic convergence of Smoothing Newton's method for 0/1 loss optimization S Zhou, L Pan, N Xiu, H Qi SIAM Journal on Optimization 31 (4), 3184–3211, 2021 | 21 | 2021 |
| Computing one-bit compressive sensing via double-sparsity constrained optimization S Zhou, Z Luo, N Xiu, G Li IEEE Transactions on Signal Processing, 2022 | 19 | 2022 |
| FedGiA: An Efficient Hybrid Algorithm for Federated Learning S Zhou, GY Li IEEE Transactions on Signal Processing 71, 1493-1508, 2023 | 18* | 2023 |
| New bounds for RIC in compressed sensing S Zhou, L Kong, N Xiu Journal of the Operations Research Society of China 1 (2), 227-237, 2013 | 18 | 2013 |
| Robust Euclidean embedding via EDM optimization S Zhou, N Xiu, HD Qi Mathematical Programming Computation 12, 337–387, 2020 | 16 | 2020 |
| Sparse and low-rank covariance matrix estimation SL Zhou, NH Xiu, ZY Luo, LC Kong Journal of the Operations Research Society of China 3 (2), 231-250, 2015 | 13 | 2015 |
Hou-Duo QiProfessor, Applied Mathematics, The Hong Kong Polytechnic UniversityE-mailová adresa ověřena na: polyu.edu.hk