Ying Sun

58 papers A* 2A 1B 1Misc 6Journal 38Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Risk-Aware and Scalable Hierarchical Motion Planning for Large-Scale Robotic Swarms via CVaR-Constrained MPC.
IEEE Trans Autom. Sci. Eng.
Xuru Yang, Yuqiao Zhao, Yunze Hu, Zongru Yang, Pingping Zhu, Ying Sun, Chang Liu
2025 J jnl
Decentralized Sparse Linear Regression via Gradient-Tracking.
J. Mach. Learn. Res.
Marie Maros, Gesualdo Scutari, Ying Sun, Guang Cheng
2025 J jnl
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis.
J. Mach. Learn. Res.
Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai
2025 A* conf
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity.
AAAI
Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li
2025 — conf
Improved Convergence Rates for Distributed Bilevel Optimization via Moreau Smoothing under Polyak-Łojasiewicz Conditions.
CDC
Youcheng Niu, Jinming Xu, Ying Sun, Li Chai, Jiming Chen
2025 B conf
Lightweight Decentralized Federated Learning with Arbitrary Client Participation.
MobiHoc
Xinghan Gong, Xiaowen Gong, Ying Sun, Shiwen Mao
2025 J jnl
The Effectiveness of Local Updates for Decentralized Learning Under Data Heterogeneity.
IEEE Trans. Signal Process.
Tongle Wu, Zhize Li, Ying Sun
2023 — conf
A Loopless Distributed Algorithm for Personalized Bilevel Optimization.
CDC
Youcheng Niu, Ying Sun, Yan Huang, Jinming Xu
2023 J jnl
Distributed (ATC) Gradient Descent for High Dimension Sparse Regression.
IEEE Trans. Inf. Theory
Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
2023 J jnl
Distributed Sparse Regression via Penalization.
J. Mach. Learn. Res.
Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
2023 J jnl
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis.
CoRR
Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai
2022 J jnl
Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation.
SIAM J. Optim.
Ying Sun, Gesualdo Scutari, Amir Daneshmand
2022 J jnl
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees.
CoRR
Ying Sun, Marie Maros, Gesualdo Scutari, Guang Cheng
2022 A* conf
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.
ICML
Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
2022 J jnl
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.
CoRR
Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
2021 J jnl
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis.
IEEE Trans. Signal Process.
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2021 J jnl
Distributed Big-Data Optimization via Blockwise Gradient Tracking.
IEEE Trans. Autom. Control.
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2021 J jnl
Distributed Sparse Regression via Penalization.
CoRR
Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
2021 J jnl
Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA.
IEEE Trans. Signal Process.
Arnaud Breloy, Sandeep Kumar, Ying Sun, Daniel P. Palomar
2020 — conf
A Unified Algorithmic Framework for Distributed Composite Optimization.
CDC
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2020 A conf
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks.
AISTATS
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2020 J jnl
Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization.
IEEE Trans. Autom. Control.
Ye Tian, Ying Sun, Gesualdo Scutari
2020 J jnl
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis.
CoRR
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2020 J jnl
Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces.
IEEE J. Sel. Areas Commun.
Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng, Robert Schober
2019 — conf
A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization.
CAMSAP
Jinming Xu, Ying Sun, Ye Tian, Gesualdo Scutari
2019 J jnl
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks.
CoRR
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
2019 J jnl
Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking.
CoRR
Ying Sun, Amir Daneshmand, Gesualdo Scutari
2019 J jnl
Decentralized Dictionary Learning Over Time-Varying Digraphs.
J. Mach. Learn. Res.
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler
2019 J jnl
Distributed nonconvex constrained optimization over time-varying digraphs.
Math. Program.
Gesualdo Scutari, Ying Sun
2019 J jnl
Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces.
CoRR
Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng, Robert Schober
2018 J jnl
ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization.
CoRR
Ye Tian, Ying Sun, Bin Du, Gesualdo Scutari
2018 — conf
ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization.
Allerton
Ye Tian, Ying Sun, Gesualdo Scutari
2018 J jnl
Decentralized Dictionary Learning Over Time-Varying Digraphs.
CoRR
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler
2018 J jnl
Distributed Big-Data Optimization via Block Communications.
CoRR
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2018 J jnl
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging.
CoRR
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2018 J jnl
Distributed Big-Data Optimization via Block-wise Gradient Tracking.
CoRR
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2018 J jnl
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs.
CoRR
Gesualdo Scutari, Ying Sun
2018 J jnl
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization.
CoRR
Gesualdo Scutari, Ying Sun
2017 Misc conf
D2L: Decentralized dictionary learning over dynamic networks.
ICASSP
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei
2017 — conf
Distributed big-data optimization via block communications.
CAMSAP
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2017 — conf
Distributed big-data optimization via block-iterative convexification and averaging.
CDC
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2017 Misc conf
Distributed nonconvex optimization for sparse representation.
ICASSP
Ying Sun, Gesualdo Scutari
2017 J jnl
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning.
IEEE Trans. Signal Process.
Ying Sun, Prabhu Babu, Daniel P. Palomar
2016 — conf
A robust signal subspace estimator.
SSP
Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar, Frédéric Pascal
2016 — conf
Block majorization-minimization algorithms for low-rank clutter subspace estimation.
EUSIPCO
Arnaud Breloy, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2016 J jnl
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks.
CoRR
Ying Sun, Gesualdo Scutari, Daniel P. Palomar
2016 J jnl
Distributed Nonconvex Optimization for Sparse Representation.
CoRR
Ying Sun, Gesualdo Scutari
2016 Misc conf
Distributed nonconvex multiagent optimization over time-varying networks.
ACSSC
Ying Sun, Gesualdo Scutari, Daniel Pérez Palomar
2016 J jnl
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems.
IEEE Trans. Signal Process.
Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar, Frédéric Pascal, Guillaume Ginolhac
2016 J jnl
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation.
CoRR
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2016 J jnl
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation.
IEEE Trans. Signal Process.
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel P. Palomar
2016 Misc conf
Orthogonal sparse eigenvectors: A procrustes problem.
ICASSP
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2016 J jnl
Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions.
IEEE Trans. Signal Process.
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2016 Misc conf
Robust rank constrained kronecker covariance matrix estimation.
ACSSC
Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
2015 J jnl
Regularized Robust Estimation of Mean and Covariance Matrix Under Heavy-Tailed Distributions.
IEEE Trans. Signal Process.
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2015 Misc conf
Robust estimation of structured covariance matrix for heavy-tailed distributions.
ICASSP
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2014 J jnl
Regularized Tyler's Scatter Estimator: Existence, Uniqueness, and Algorithms.
IEEE Trans. Signal Process.
Ying Sun, Prabhu Babu, Daniel P. Palomar
2014 — conf
Regularized robust estimation of mean and covariance matrix under heavy tails and outliers.
SAM
Ying Sun, Prabhu Babu, Daniel Pérez Palomar