Ying Sun

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 48

Top Topics

Covariance Matrix

Robust Estimation

Convex Optimization

Top Venues

IEEE Trans. Signal Process.

Publications

Youcheng Niu, Ying Sun, Yan Huang, Jinming Xu
A Loopless Distributed Algorithm for Personalized Bilevel Optimization. CDC (2023)
Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
Distributed (ATC) Gradient Descent for High Dimension Sparse Regression. IEEE Trans. Inf. Theory 69 (8) (2023)
Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis. CoRR (2023)
Ying Sun, Marie Maros, Gesualdo Scutari, Guang Cheng
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. CoRR (2022)
Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology. ICML (2022)
Ying Sun, Gesualdo Scutari, Amir Daneshmand
Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation. SIAM J. Optim. 32 (2) (2022)
Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology. CoRR (2022)
Arnaud Breloy, Sandeep Kumar, Ying Sun, Daniel P. Palomar
Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA. IEEE Trans. Signal Process. 69 (2021)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Blockwise Gradient Tracking. IEEE Trans. Autom. Control. 66 (5) (2021)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis. IEEE Trans. Signal Process. 69 (2021)
Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
Distributed Sparse Regression via Penalization. CoRR (2021)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. AISTATS (2020)
Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng, Robert Schober
Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces. IEEE J. Sel. Areas Commun. 38 (11) (2020)
Ye Tian, Ying Sun, Gesualdo Scutari
Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. IEEE Trans. Autom. Control. 65 (12) (2020)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
A Unified Algorithmic Framework for Distributed Composite Optimization. CDC (2020)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. CoRR (2020)
Ying Sun, Amir Daneshmand, Gesualdo Scutari
Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking. CoRR (2019)
Gesualdo Scutari, Ying Sun
Distributed nonconvex constrained optimization over time-varying digraphs. Math. Program. 176 (1-2) (2019)
Jinming Xu, Ying Sun, Ye Tian, Gesualdo Scutari
A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization. CAMSAP (2019)
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler
Decentralized Dictionary Learning Over Time-Varying Digraphs. J. Mach. Learn. Res. 20 (2019)
Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng, Robert Schober
Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces. CoRR (2019)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. CoRR (2019)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. CoRR (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block Communications. CoRR (2018)
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler
Decentralized Dictionary Learning Over Time-Varying Digraphs. CoRR (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block-wise Gradient Tracking. CoRR (2018)
Ye Tian, Ying Sun, Bin Du, Gesualdo Scutari
ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization. CoRR (2018)
Gesualdo Scutari, Ying Sun
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs. CoRR (2018)
Ye Tian, Ying Sun, Gesualdo Scutari
ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. Allerton (2018)
Gesualdo Scutari, Ying Sun
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization. CoRR (2018)
Ying Sun, Prabhu Babu, Daniel P. Palomar
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning. IEEE Trans. Signal Process. 65 (3) (2017)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed big-data optimization via block-iterative convexification and averaging. CDC (2017)
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei
D2L: Decentralized dictionary learning over dynamic networks. ICASSP (2017)
Ying Sun, Gesualdo Scutari
Distributed nonconvex optimization for sparse representation. ICASSP (2017)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed big-data optimization via block communications. CAMSAP (2017)
Arnaud Breloy, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Block majorization-minimization algorithms for low-rank clutter subspace estimation. EUSIPCO (2016)
Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar, Frédéric Pascal, Guillaume Ginolhac
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Process. 64 (8) (2016)
Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
Robust rank constrained kronecker covariance matrix estimation. ACSSC (2016)
Ying Sun, Gesualdo Scutari, Daniel Pérez Palomar
Distributed nonconvex multiagent optimization over time-varying networks. ACSSC (2016)
Ying Sun, Gesualdo Scutari
Distributed Nonconvex Optimization for Sparse Representation. CoRR (2016)
Ying Sun, Gesualdo Scutari, Daniel P. Palomar
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks. CoRR (2016)
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation. CoRR (2016)
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions. IEEE Trans. Signal Process. 64 (14) (2016)
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel P. Palomar
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation. IEEE Trans. Signal Process. 64 (23) (2016)
Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar, Frédéric Pascal
A robust signal subspace estimator. SSP (2016)
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Orthogonal sparse eigenvectors: A procrustes problem. ICASSP (2016)
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Regularized Robust Estimation of Mean and Covariance Matrix Under Heavy-Tailed Distributions. IEEE Trans. Signal Process. 63 (12) (2015)
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Robust estimation of structured covariance matrix for heavy-tailed distributions. ICASSP (2015)
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Regularized robust estimation of mean and covariance matrix under heavy tails and outliers. SAM (2014)
Ying Sun, Prabhu Babu, Daniel P. Palomar
Regularized Tyler's Scatter Estimator: Existence, Uniqueness, and Algorithms. IEEE Trans. Signal Process. 62 (19) (2014)