Dr. Jun Chen – Faculty of Engineering
Jun Chen

Dr. Jun Chen

Expertise

Information & coding theory, machine learning, natural language processing, wireless communications, multimedia communications, signal & image processing, data compression & storage, networking, optimization

Areas of Specialization

Research Clusters

Current status

  • Accepting graduate students

  • Professor

    Electrical & Computer Engineering

Overview

My research group is interested in the broad areas of information processing, transmission, and learning. We particularly enjoy analyzing simple models that require mathematical techniques from diverse areas to obtain insights for practical system/algorithm design.

Network Information Theory: A major focus of our work in this area is on the development of new analytical techniques for characterizing the fundamental performance limits of multiterminal networks.

Wireless Communications: Our goal is to establish architectural principles for the design of communication systems through the analysis of the relevant channel models. We are particularly interested in the scenarios where the transmitter side information and the receiver side information are not deterministically related.

Multimedia Signal Processing: We are currently designing a new predictive coding architecture based on the concept of virtual data and exploring its application to video compression and video descriptor compression. We are also interested in developing machine learning techniques for video analysis.

My research group is broadly engaged in information theory, machine learning, computer vision, and wireless communications. Our current research projects include: 1) Learned image/video compression and restoration, 2) Compression of large language models, 3) Integrated sensing and communications, 4) Quantum information theory.

Did you know?

Dr. Chen serves as the Chair of the IEEE Hamilton Section’s Joint Chapter for the Communications, Information Theory, and Signal Processing Societies.

Jun Chen received the B.E. degree in communication engineering from Shanghai Jiao Tong University, Shanghai, China, in 2001, and the M.S. and Ph.D. degrees in electrical and computer engineering from Cornell University, Ithaca, NY, USA, in 2004 and 2006, respectively. From September 2005 to July 2006, he was a Postdoctoral Research Associate with the Coordinated Science Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL, USA, and a Postdoctoral Fellow with the IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA, from July 2006 to August 2007.

Since September 2007, he has been with the Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, where he is currently a Professor. His research interests include information theory, machine learning, wireless communications, and signal processing. Dr. Chen was a recipient of the Josef Raviv Memorial Postdoctoral Fellowship in 2006, the Early Researcher Award from the Province of Ontario in 2010, the IBM Faculty Award in 2010, the ICC Best Paper Award in 2020, and the JSPS Invitational Fellowship in 2021. He held the title of the Barber-Gennum Chair in Information Technology from 2008 to 2013 and the title of the Joseph Ip Distinguished Engineering Fellow from 2016 to 2018. He was an Associate Editor of the IEEE TRANSACTIONS ON INFORMATION THEORY from 2014 to 2016 and an Editor of the IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING from 2020 to 2021. He is currently serving as an Associate Editor for the IEEE TRANSACTIONS ON INFORMATION THEORY and an Associate Editor for the IEEE TRANSACTIONS ON COMMUNICATIONS.

B.Eng. (Shanghai Jiao Tong University, China); M.S. (Cornell University, USA); Ph.D. (Cornell University, USA)

Josef Raviv Memorial Postdoctoral Fellowship (2006)

Barber-Gennum Chair in Information Technology (2008 – 2013)

Early Researcher Award (2010)

IBM Faculty Award (2010)

Joseph Ip Distinguished Engineering Fellow (2015-2018)

Dean’s Doctoral Mentoring Platinum Honor Roll

ECE Instructor Award

1) Chen, J., Yu, L., Wang, J., Shi, W., Ge, Y., and Tong, W., On the Rate-Distortion-Perception Function, IEEE Journal on Selected Areas in Information Theory, vol. 3, pp. 664-673, Dec. 2022

2) Liu, X., Liu, Y., Chen, J., and Liu, X., PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, pp. 7505-7517, Nov. 2022

3) Wang, Y., Zibaeenejad, A., Jing, Y., and Chen, J., On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications, IEEE Transactions on Information Theory, vol. 67, pp. 6548-6563, Oct. 2021

4) Tian, C., Sun, H., and Chen, J., Capacity-Achieving Private Information Retrieval Codes with Optimal Message Size and Upload Cost, IEEE Transactions on Information Theory, vol. 65, pp. 7613-7627, Nov. 2019

5) Liu, X., Ma, Y., Shi, Z., and Chen. J., GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing, International Conference on Computer Vision, Oct. 27 – Nov. 2, 2019, Seoul, South Korea, pp. 7314-7323