Guaranteed matrix completion via non-convex factorization R Sun, ZQ Luo
IEEE Transactions on Information Theory 62 (11), 6535-6579, 2016
545 2016 Optimization for deep learning: An overview RY Sun
Journal of the Operations Research Society of China 8 (2), 249-294, 2020
432 * 2020 On the convergence of a class of adam-type algorithms for non-convex optimization X Chen, S Liu, R Sun, M Hong
arXiv preprint arXiv:1808.02941, 2018
394 2018 Joint base station clustering and beamformer design for partial coordinated transmission in heterogeneous networks M Hong, R Sun, H Baligh, ZQ Luo
IEEE Journal on Selected Areas in Communications 31 (2), 226-240, 2013
348 2013 Max-sliced wasserstein distance and its use for gans I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo, Z Zhao, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
231 2019 A single-loop smoothed gradient descent-ascent algorithm for nonconvex-concave min-max problems J Zhang, P Xiao, R Sun, Z Luo
Advances in neural information processing systems 33, 7377-7389, 2020
122 2020 Joint downlink base station association and power control for max-min fairness: Computation and complexity R Sun, M Hong, ZQ Luo
IEEE Journal on Selected Areas in Communications 33 (6), 1040-1054, 2015
118 * 2015 The global landscape of neural networks: An overview R Sun, D Li, S Liang, T Ding, R Srikant
IEEE Signal Processing Magazine 37 (5), 95-108, 2020
110 2020 Adding one neuron can eliminate all bad local minima S Liang, R Sun, JD Lee, R Srikant
Advances in Neural Information Processing Systems 31, 2018
105 2018 Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight? E Song, Q Shi, M Sanjabi, RY Sun, ZQ Luo
EURASIP Journal on Wireless Communications and Networking 2012, 1-11, 2012
98 2012 Understanding the loss surface of neural networks for binary classification S Liang, R Sun, Y Li, R Srikant
ICML, 2018
96 2018 Adam can converge without any modification on update rules Y Zhang, C Chen, N Shi, R Sun, ZQ Luo
Advances in neural information processing systems 35, 28386-28399, 2022
93 2022 Rmsprop converges with proper hyperparameter N Shi, D Li, R Sun
International conference on learning representation, 2021
93 2021 On the efficiency of random permutation for ADMM and coordinate descent R Sun, ZQ Luo, Y Ye
Mathematics of Operations Research 45 (1), 233-271, 2020
81 * 2020 Global convergence of maml and theory-inspired neural architecture search for few-shot learning H Wang, Y Wang, R Sun, B Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
71 * 2022 Worst-case complexity of cyclic coordinate descent: R Sun, Y Ye
Mathematical Programming, 1-34, 2019
69 2019 On the benefit of width for neural networks: Disappearance of bad basins D Li, T Ding, R Sun
arXiv preprint arXiv:1812.11039, 2018
60 * 2018 Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems R Sun, M Hong
NIPS, 2015
59 2015 Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach RS Hadi Baligh, Mingyi Hong,Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn ...
IEEE Signal Processing Magzine 31 (6), 2014
56 * 2014 Suboptimal local minima exist for wide neural networks with smooth activations T Ding, D Li, R Sun
Mathematics of Operations Research 47 (4), 2784-2814, 2022
55 * 2022 
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaПотвърден имейл адрес: cuhk.edu.cn
