Ying Sun
Orcid: 0000-0002-9709-6509Affiliations:
- Purdue University, School of Industrial Engineering, West-Lafayette, IN, USA
- Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (former)
According to our database1,
Ying Sun
authored at least 40 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
IEEE Trans. Inf. Theory, August, 2023
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis.
CoRR, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation.
SIAM J. Optim., 2022
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees.
CoRR, 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.
Proceedings of the International Conference on Machine Learning, 2022
2021
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis.
IEEE Trans. Signal Process., 2021
Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA.
IEEE Trans. Signal Process., 2021
IEEE Trans. Autom. Control., 2021
2020
IEEE Trans. Autom. Control., 2020
IEEE J. Sel. Areas Commun., 2020
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis.
CoRR, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Math. Program., 2019
J. Mach. Learn. Res., 2019
CoRR, 2019
A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization.
CoRR, 2018
ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization.
CoRR, 2018
ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
2017
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning.
IEEE Trans. Signal Process., 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions.
IEEE Trans. Signal Process., 2016
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Regularized Robust Estimation of Mean and Covariance Matrix Under Heavy-Tailed Distributions.
IEEE Trans. Signal Process., 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
IEEE Trans. Signal Process., 2014
Regularized robust estimation of mean and covariance matrix under heavy tails and outliers.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014