Photo of Ying Sun

Ying Sun

Assistant Professor

Affiliation(s):

  • School of Electrical Engineering and Computer Science
  • Electrical Engineering

111F Electrical Engineering West

ybs5190@psu.edu

814-867-4033

 
 

 

Education

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

Publications

Journal Articles

  • 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
  • Ying Sun, Amir Daneshmand and Gesualdo Scutari, , "Distributed optimization based on gradient-tracking revisited: Enhancing convergence rate via surrogation", SIAM Journal on Optimization

Conference Proceedings

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

Research Projects

Honors and Awards

  • 2016 Best Student Paper Award by IEEE CAMSAP (corecipient), IEEE, 2016
  • 2020 Young Author Best Paper Award by the IEEE Signal Processing Society, IEEE, 2020

Service

Service to Penn State:

Service to External Organizations:

 


 

About

The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research fields.

We offer B.S. degrees in electrical engineering, computer science, computer engineering and data science and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

School of Electrical Engineering and Computer Science

The Pennsylvania State University

207 Electrical Engineering West

University Park, PA 16802

814-863-6740

Department of Computer Science and Engineering

814-865-9505

Department of Electrical Engineering

814-865-7667