About me

I am Lin Chen, a Ph.D. candidate in the Electronic and Computer Engineering department at the Hong Kong University of Science and Technology (HKUST). I received my B.S. degree in Integrated Circuit Design and Integration System from Huazhong University of Science and Technology, Wuhan, China in 2020. Since 2020, I joined the Big Data System Lab at HKUST. My supervisor is Prof. Jiang Xu. My current research interests cover power management, machine learning and energy-efficient computer architecture.

Publications

• Lin Chen, et al. “PC-oriented Prediction-based Runtime Power Management for GPGPU using Knowledge Transfer.” ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), Nantes, France, June 2024.
• Lin Chen, et al. “Smart Knowledge Transfer-based Runtime Power Management.” Design, Automation and Test in Europe Conference and Exhibition (DATE), Antwerp, Belgium, April 2023.
• Lin Chen, et al. “Improve the Stability and Robustness of Power Management through Model-free Deep Reinforcement Learning.” Design, Automation and Test in Europe Conference and Exhibition (DATE), Antwerp, Belgium, March 2022.
• Xiao Li (equal contribution), Lin Chen (equal contribution), et al. “Power Management for Chiplet-Based Multicore Systems Using Deep Reinforcement Learning.” IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Pafos, Cyprus, July 2022
• Tian Zhongyuan, Lin Chen, et al. “Multi-core Power Management Through Deep Reinforcement Learning.” 2021 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2021.

Education

• 2020 - present

  Ph.D. student in Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology

  Supervisor: Prof. Jiang XU

• 2016 - 2020

  Bachelor of Engineer in School of Optical and Electronic Information, Huazhong University of Science and Technology

Experiences

• 2023.10 - 2024.06

  Research Intern, Noah’s Ark Lab

  Huawei Hong Kong Research Center, Hong Kong