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Ying Sun
Tytuł
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Cytowane przez
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Majorization-minimization algorithms in signal processing, communications, and machine learning
Y Sun, P Babu, DP Palomar
IEEE Transactions on Signal Processing 65 (3), 794-816, 2016
12662016
Robust and secure wireless communications via intelligent reflecting surfaces
X Yu, D Xu, Y Sun, DWK Ng, R Schober
IEEE Journal on Selected Areas in Communications 38 (11), 2637-2652, 2020
6192020
Distributed nonconvex constrained optimization over time-varying digraphs
G Scutari, Y Sun
Mathematical Programming 176, 497-544, 2019
1702019
Distributed nonconvex multiagent optimization over time-varying networks
Y Sun, G Scutari, D Palomar
arXiv preprint arXiv:1607.00249, 2016
1032016
Robust estimation of structured covariance matrix for heavy-tailed elliptical distributions
Y Sun, P Babu, DP Palomar
IEEE Transactions on Signal Processing 64 (14), 3576-3590, 2016
992016
Distributed algorithms for composite optimization: Unified framework and convergence analysis
J Xu, Y Tian, Y Sun, G Scutari
IEEE Transactions on Signal Processing 69, 3555-3570, 2021
782021
Parallel and distributed successive convex approximation methods for big-data optimization
A Nedić, JS Pang, G Scutari, Y Sun, G Scutari, Y Sun
Multi-Agent Optimization: Cetraro, Italy 2014, 141-308, 2018
752018
Achieving linear convergence in distributed asynchronous multiagent optimization
Y Tian, Y Sun, G Scutari
IEEE Transactions on Automatic Control 65 (12), 5264-5279, 2020
742020
Distributed optimization based on gradient tracking revisited: Enhancing convergence rate via surrogation
Y Sun, G Scutari, A Daneshmand
SIAM Journal on Optimization 32 (2), 354-385, 2022
712022
Regularized Tyler's scatter estimator: Existence, uniqueness, and algorithms
Y Sun, P Babu, DP Palomar
IEEE Transactions on Signal Processing 62 (19), 5143-5156, 2014
702014
Convergence rate of distributed optimization algorithms based on gradient tracking
Y Sun, A Daneshmand, G Scutari
arXiv preprint arXiv:1905.02637, 2019
612019
Orthogonal sparse PCA and covariance estimation via procrustes reformulation
K Benidis, Y Sun, P Babu, DP Palomar
IEEE Transactions on Signal Processing 64 (23), 6211-6226, 2016
562016
Low-complexity algorithms for low rank clutter parameters estimation in radar systems
Y Sun, A Breloy, P Babu, DP Palomar, F Pascal, G Ginolhac
IEEE Transactions on Signal Processing 64 (8), 1986-1998, 2015
552015
ASY-SONATA: Achieving linear convergence in distributed asynchronous multiagent optimization
Y Tian, Y Sun, G Scutari
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
502018
Accelerated primal-dual algorithms for distributed smooth convex optimization over networks
J Xu, Y Tian, Y Sun, G Scutari
International Conference on Artificial Intelligence and Statistics, 2381-2391, 2020
402020
Hybrid local SGD for federated learning with heterogeneous communications
Y Guo, Y Sun, R Hu, Y Gong
International Conference on Learning Representations, 2022
312022
Successive Boolean optimization of planar pixel antennas
S Shen, Y Sun, S Song, DP Palomar, RD Murch
IEEE Transactions on Antennas and Propagation 65 (2), 920-925, 2016
222016
Regularized robust estimation of mean and covariance matrix under heavy-tailed distributions
Y Sun, P Babu, DP Palomar
IEEE Transactions on Signal Processing 63 (12), 3096-3109, 2015
212015
Distributed big-data optimization via block-iterative convexification and averaging
I Notarnicola, Y Sun, G Scutari, G Notarstefano
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2281-2288, 2017
182017
Distributed big-data optimization via blockwise gradient tracking
I Notarnicola, Y Sun, G Scutari, G Notarstefano
IEEE Transactions on Automatic Control 66 (5), 2045-2060, 2020
172020
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