Follow
Ying Sun
Title
Cited by
Cited by
Year
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
13842016
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
6682020
Distributed nonconvex constrained optimization over time-varying digraphs
G Scutari, Y Sun
Mathematical Programming 176, 497-544, 2019
1752019
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
1062016
Distributed nonconvex multiagent optimization over time-varying networks
Y Sun, G Scutari, D Palomar
arXiv preprint arXiv:1607.00249, 2016
1032016
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
882021
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
832018
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
772022
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
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
732014
Convergence rate of distributed optimization algorithms based on gradient tracking
Y Sun, A Daneshmand, G Scutari
arXiv preprint arXiv:1905.02637, 2019
632019
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
592016
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
592015
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
492018
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
392022
Majorization-minimization on the Stiefel manifold with application to robust sparse PCA
A Breloy, S Kumar, Y Sun, DP Palomar
IEEE Transactions on Signal Processing 69, 1507-1520, 2021
262021
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
252016
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
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
JX Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan
International Conference on Machine Learning 162, 9310-9345, 2022
18*2022
The system can't perform the operation now. Try again later.
Articles 1–20