Ping Xu
Google Scholar Profile (email: pxu3@gmu.edu)
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I am currently a postdoctoral research associate in the Department of Electrical and Computer Engineering at George Mason University (GMU), advised by Professor Zhi (Gerry) Tian, where I received my Ph.D. in May 2022 and an M.S. in 2018. Prior to GMU, I obtained a B.S. from Northwestern Polytechnical University, Xi'an, Shaanxi, China. My research interests span the areas of cooperative control, network optimization, data science, and machine learning, along with their applications in social, environmental, and IoT systems. Specifically, I am skilled in the analysis and control of complex distributed and/or networked systems and learning from large volume of networked data to make advances in science and engineering. |
Education
B.Eng. (Hons.) in Electronics and Information Engineering, Northwestern Polytechnical University, China, 2015
M.S. in Electrical and Computer Engineering, George Mason University, USA, 2018
Ph.D. in Electrical and Computer Engineering, George Mason University, USA, 2022
Recent news
Aug. 2022: I was honored to be named a “Rising Star in EECS” 2022. See you in Austin!
May 2022: I received the Outstanding Academic Achievement Award 2022 from GMU College of Computing and Engineering!
April 2022: I successfully defended my thesis!
Jan. 2022: One paper got accepted by ICASSP 2022!
Publications
J1. Ping Xu, Cameron Nowzari, and Zhi Tian, “A Class of Distributed Event-Triggered Average Consensus Algorithms for Multi-Agent Systems,” International Journal of Control (2020): 1-14.
J2. Ping Xu, Yue Wang, Xiang Chen, and Zhi Tian, “COKE: Communication-Censored Decentralized Kernel Learning,” Journal of Machine Learning Research, 22.196 (2021): 1-35.
C1. Yue Wang, Ping Xu, and Zhi Tian, “Efficient Channel Estimation for Massive MIMO Systems via Truncated Two-Dimensional Atomic Norm Minimization,” IEEE International Conference on Communications (ICC), Pairs, France, May 2017.
C2. Ping Xu, Cameron Nowzari, and Zhi Tian, “A Class of Event-Triggered Coordination Algorithms for Multi-Agent Systems on Weight-Balanced Digraphs,” Proceedings of the American Control Conference (ACC), Milwaukee, Wisconsin, 2018.
C3. Ping Xu, Zhi Tian, and Yue Wang, “An Energy-Efficient Distributed Average Consensus Scheme via Infrequent Communication,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, CA, USA, November 2018.
C4. Ping Xu, Zhi Tian, Zhe Zhang, and Yue Wang, “COKE: Communication-Censored Kernel Learning via Random Features,” IEEE Data Science Workshop (DSW 2019), Minneapolis, MN, USA, June, 2019.
C5. Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, and Xiang Chen, “DCCNN: Computational Flow Redefinition for Efficient CNN Inference through Model Structural Decoupling,” 2020 Design Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2020.
C6. Ping Xu, Yue Wang, Xiang Chen, and Zhi Tian, “Deep Kernel Learning Networks with Multiple Learning Paths,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, May 2022.
Teaching
Instructor: ECE321-201-Continuous-Time Signals and Systems, Spring 2021
Teaching assistant: ECE201-Introduction to Signals and Systems, Spring 2021
Teaching assistant: ECE527-Learning From Data, Fall 2020
Teaching assistant: ECE639-Satellite Communications, Fall 2020
Teaching assistant: ECE699-Deep Machine Learning, Spring 2020
Honors & Awards
Rising Star in EECS, 2022
Outstanding Academic Achievement Award, 2022
IEEE Signal Processing Society Professional Development Grant, 2021
Student Travel Grant for IEEE Data Science Workshop (DSW), NSF, 2019
GHC Student Scholarship, ANITAB.ORG, 2019
iREDEFINE Professional Development Award, NSF, 2019
Student Travel Grant for American Control Conference (ACC), 2018
Outstanding Academic Achievement Award, GMU, 2018
Presidential Summer Scholarship, GMU, 2016 - 2017
Presidential Scholarship, GMU, 2015 - 2018
Outstanding Graduate, NPU, 2015
Merit Student with First Class Scholarship, NPU, 2014
Wu Yajun Special Scholarship, NPU, 2013 - 2014
Excellent Student Cadre with First Class Scholarship, NPU, 2012 - 2013
National Motivational Scholarships, Ministry of Education of China, 2012 - 2014
Professional activities
Technical reviewer
IEEE Transactions on Signal Processing (TSP), IEEE Transactions on Cybernetics, International Journal of Control (IJC), Applied Soft Computing, IEEE Conference on Decision and Control (CDC), AAAI 2022, ICML 2022, NeurIPS 2022
Oral Session Moderator
2018 Mason Graduate Interdisciplinary Conference (MaGIC)