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Jing Yang
Associate Professor
School of Electrical Engineering and Computer Science
Pennsylvania State University

Office: 228B Electrical Engineering West
Phone: (814) 863-8732

I am an Associate Professor in the School of Electrical Engineering and Computer Science at the Pennsylvania State University. I received my B.S. from the University of Science and Technology of China (USTC), and M.S. and PhD degrees from the University of Maryland, College Park, all in Electrical Engineering. I received an NSF CAREER award in 2015 and the WICE Early Achievement Award in 2020, and was selected as one of the 2020 N2Women: Stars in Computer Networking and Communications.

My research interests lie in machine learning, wireless communications and networking, and information theory. Current research topics include:

  • Multi-armed bandits and reinforcement learning

  • Federated learning and distributed/decentralized learning

  • Privacy-preserving machine learning

  • Learning and optimization in mmWave communication networks

  • Application of machine learning and deep learning in wireless networks, power grids and geosciences

  • January 2023: Three papers are accepted to ICLR 2024.

  • September 2023: One paper is accepted to NeurIPS 2023.

  • September 2023: We present our work on Federated Linear Contextual Bandits with User-level Differential Privacy at Theory and Practice of Differential Privacy (TPDP) 2023.

  • August 2023: Ruiquan is selected to participate in the Future Faculty Immersive Teaching Program (FIT) in the College of Engineering. Congratulations, Ruiquan!

  • July 2023: Our project titled ‘‘Energy-Efficient Broadband Spectrum Sensing in Real Time Based on a Frequency-Domain Analog Signal Processor’’ is funded by NSF. More information can be found here.

  • April 2023: Four papers accepted to ICML 2023 and two papers accepted to ISIT 2023.

  • February 2023: I was appointed as an Associate Editor of IEEE Transactions on Cognitive Communications and Networking.

  • January 2023: Two papers are accepted to ICLR 2023 and one paper is accepted to ICC 2023.

  • January 2023: I was invited to serve as the Technical Area Chair for the Asilomar’23 Networks track.

  • December 2022: I was invited to serve as a TPC/reviewer for IJCAI 2023 and ICML 2023.

  • November 2022: One paper is accepted to NeurIPS 2022 and selected as a Spotlight! Only 260 out of 10,411 submissions are selected as Spotlight.

  • September 2022: Our project titled ‘‘Collaborative Research: Optimized Testing Strategies for Fighting Pandemics: Fundamental Limits and Efficient Algorithms’’ is funded by NSF. More information can be found here.

  • August 2022: Fengyu Gao joined our group as a PhD student. Welcome Fengyu!

  • June 2022: Songtao successfully passed his dissertation defense. Congratulations, Dr. Feng!

  • Apr 2022: Songtao received the Bose Dissertation Excellence Award from EE department. Congratulations, Songtao!

Prospective Students:

Graduate Research Assistant positions are available in the areas of statistical learning, signal processing and data analytics, and network optimization. Prospective students with strong mathematical background and extensive programming experiences are welcome to apply. Please contact me by email with a resume, preferably with math and major engineering course grades, if you are interested.