| 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 | 1474 | 2016 |
| 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 | 722 | 2020 |
| Distributed nonconvex constrained optimization over time-varying digraphs G Scutari, Y Sun Mathematical Programming 176, 497-544, 2019 | 183 | 2019 |
| 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 | 109 | 2016 |
| Distributed nonconvex multiagent optimization over time-varying networks Y Sun, G Scutari, D Palomar arXiv preprint arXiv:1607.00249, 2016 | 107 | 2016 |
| 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 | 92 | 2021 |
| 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 | 92 | 2018 |
| 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 | 86 | 2022 |
| Achieving linear convergence in distributed asynchronous multiagent optimization Y Tian, Y Sun, G Scutari IEEE Transactions on Automatic Control 65 (12), 5264-5279, 2020 | 84 | 2020 |
| 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 | 77 | 2014 |
| Convergence rate of distributed optimization algorithms based on gradient tracking Y Sun, A Daneshmand, G Scutari arXiv preprint arXiv:1905.02637, 2019 | 63 | 2019 |
| 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 | 59 | 2016 |
| 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 | 59 | 2015 |
| 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 | 54 | 2018 |
| Hybrid local SGD for federated learning with heterogeneous communications Y Guo, Y Sun, R Hu, Y Gong International conference on learning representations, 2022 | 46 | 2022 |
| 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 | 41 | 2020 |
| 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 | 27 | 2021 |
| 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 | 26 | 2016 |
| 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 | 22 | 2015 |
| 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 | 19* | 2022 |
Gesualdo ScutariPurdue UniversityVerified email at purdue.edu
