• Doctor of Philosophy, Electronic and Computer Engineering, The Hong Kong University of Science and Technology, 2016

Journal Articles

Yao Ji, Gesualdo Scutari, Ying Sun and Harsha Honnapppa, 2023, "Distributed (ATC) Gradient Descent for High Dimension Sparse Regression", IEEE Transactions on Information Theory, 69, (9), pp. pp. 5253-5276

Yao Ji, Gesualdo Scutari, Ying Sun and Harsha Honnappa, 2023, "Distributed Sparse Regression via Penalization", Journal of Machine Learning Research, 24, (272), pp. 1-62

Ying Sun, Gesualdo Scutari and Amir Daneshmand, 2022, "Distributed optimization based on gradient-tracking revisited: Enhancing convergence rate via surrogation", SIAM Journal on Optimization, 32, (2), pp. 354-385

Ivano Notarnicola, Ying Sun, Gesualdo Scutari and Giuseppe Notarstefano, 2021, "Distributed Big-Data Optimization via Blockwise Gradient Tracking", IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 66, (5), pp. 2045-2060

Jinming Xu, Ye Tian, Ying Sun and Gesualdo Scutari, 2021, "Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis", IEEE TRANSACTIONS ON SIGNAL PROCESSING, 69, pp. 3555-3570

Arnaud Breloy, Sandeep Kumar, Ying Sun and Daniel P. Palomar, 2021, "Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA", IEEE TRANSACTIONS ON SIGNAL PROCESSING, 69, pp. 1507-1520

Ye Tian, Ying Sun and Gesualdo Scutari, 2020, "Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization", IEEE Transactions on Automatic Control, 65, (12), pp. 5264--5279

Ivano Notarnicola, Ying Sun, Gesualdo Scutari and Giuseppe Notarstefano, 2020, "Distributed big-data optimization via block-wise gradient tracking", IEEE Transactions on Automatic Control

Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng and Robert Schober, 2020, "Robust and secure wireless communications via intelligent reflecting surfaces", IEEE Journal on Selected Areas in Communications, 38, (11), pp. 2637--2652

Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei and B Sadler, 2019, "Decentralized dictionary learning over time-varying digraphs", Journal of machine learning research, 20

Gesualdo Scutari and Ying Sun, 2019, "Distributed nonconvex constrained optimization over time-varying digraphs", Mathematical Programming, 176, (1), pp. 497--544

Ying Sun, Prabhu Babu and Daniel P Palomar, 2016, "Majorization-minimization algorithms in signal processing, communications, and machine learning", IEEE Transactions on Signal Processing, 65, (3), pp. 794--816

Konstantinos Benidis, Ying Sun, Prabhu Babu and Daniel P Palomar, 2016, "Orthogonal sparse PCA and covariance estimation via procrustes reformulation", IEEE Transactions on Signal Processing, 64, (23), pp. 6211--6226

Ying Sun, Prabhu Babu and Daniel P Palomar, 2016, "Robust estimation of structured covariance matrix for heavy-tailed elliptical distributions", IEEE Transactions on Signal Processing, 64, (14), pp. 3576--3590

Shanpu Shen, Ying Sun, Sichao Song, Daniel P Palomar and Ross D Murch, 2016, "Successive Boolean optimization of planar pixel antennas", IEEE Transactions on Antennas and Propagation, 65, (2), pp. 920--925

Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P Palomar, Pascal, Fr\'ed\'eric and Guillaume Ginolhac, 2015, "Low-complexity algorithms for low rank clutter parameters estimation in radar systems", IEEE Transactions on Signal Processing, 64, (8), pp. 1986--1998

Ying Sun, Prabhu Babu and Daniel P Palomar, 2015, "Regularized robust estimation of mean and covariance matrix under heavy-tailed distributions", IEEE Transactions on Signal Processing, 63, (12), pp. 3096--3109

Ying Sun, Prabhu Babu and Daniel P Palomar, 2014, "Regularized Tyler's scatter estimator: Existence, uniqueness, and algorithms", IEEE Transactions on Signal Processing, 62, (19), pp. 5143--5156

Conference Proceedings

Zelin He, Ying Sun, Jingyuan Liu and Runze Li, 2024, "TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression"

Youcheng Niu, Ying Sun, Yan Huang and Jinming Xu, 2023, "A Loopless Distributed Algorithm for Personalized Bilevel Optimization"

Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan and Jinming Xu, 2022, "Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology", Proceedings of the 39th International Conference on Machine Learning, PMLR, 162, pp. 9310--9345

Bin Wang, Huanyu Zhang, Ziping Zhao and Ying Sun, 2021, "Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions", 2021 IEEE Statistical Signal Processing Workshop (SSP), pp. 336--340

Yuanxiong Guo, Ying Sun, Rui Hu and Yanmin Gong, 2021, "Hybrid Local SGD for Federated Learning with Heterogeneous Communications", The Tenth International Conference on Learning Representations (ICLR 2022)

Jinming Xu, Ye Tian, Ying Sun and Gesualdo Scutari, 2020, "A unified algorithmic framework for distributed composite optimization", 2020 59th IEEE Conference on Decision and Control (CDC), pp. 2309--2316

Jinming Xu, Ye Tian, Ying Sun and Gesualdo Scutari, 2020, "Accelerated primal-dual algorithms for distributed smooth convex optimization over networks", International Conference on Artificial Intelligence and Statistics, pp. 2381--2391

Jinming Xu, Ying Sun, Ye Tian and Gesualdo Scutari, 2019, "A unified contraction analysis of a class of distributed algorithms for composite optimization", 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 485--489

Ye Tian, Ying Sun and Gesualdo Scutari, 2018, "ASY-SONATA: Achieving linear convergence in distributed asynchronous multiagent optimization", 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 543--551

Amir Daneshmand, Ying Sun, Gesualdo Scutari and Francisco Facchinei, 2017, "D2L: Decentralized dictionary learning over dynamic networks", 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4084--4088

Ivano Notarnicola, Ying Sun, Gesualdo Scutari and Giuseppe Notarstefano, 2017, "Distributed big-data optimization via block-iterative convexification and averaging", 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp. 2281--2288

Ying Sun and Gesualdo Scutari, 2017, "Distributed nonconvex optimization for sparse representation", 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4044--4048

A Breloy, Ying Sun, G Ginolhac P Babu, Daniel Palomar, Pascal and Fr\'ed\'eric, 2016, "A ROBUST SIGNAL SUBSPACE ESTIMATOR", 2016 IEEE Workshop on Statistical Signal Processing (SSP 2016), pp. 1-4

Arnaud Breloy, Ying Sun, Prabhu Babu, Palomar and Daniel P\'erez, 2016, "Block majorization-minimization algorithms for low-rank clutter subspace estimation", 2016 24th European Signal Processing Conference (EUSIPCO), pp. 2186--2190

Ying Sun, Prabhu Babu and Daniel P Palomar, 2015, "Robust estimation of structured covariance matrix for heavy-tailed distributions", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5693--5697

• 2020 Young Author Best Paper Award by the IEEE Signal Processing Society, IEEE, 2020

• 2016 Best Student Paper Award by IEEE CAMSAP (corecipient), IEEE, 2016

• The IEEE Communications Society Leonard G. Abraham Prize, IEEE, 2023

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