2022.09 - Present
Ph.D. in Computer Science, University of Nottingham Ningbo China
Supervisors: Dr. Heng Yu, Prof. Ender Ozcan, Dr. Tianxiang Cui
About Me
I am currently a Ph.D. student at University of Nottingham Ningbo China (UNNC). My research focuses on embedded AI and power-aware system, specifically, including learning-based design-time or runtime optimization of the AI applications, software and hardware co-optimization for embedded platforms, etc. See my full publication list on Google Scholar.
Education
2018.09 - 2022.07
B.S. in Computer Science with Artificial Intelligence, University of Nottingham Ningbo China
Supervisor: Dr. Heng Yu
Selected Publications
FiDRL: Flexible invocation-based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems
Jingjin Li, Weixiong Jiang, Yuting He, Qingyu Yang, Anqi Gao, Yajun Ha, Ender Ozcan, Ruibin Bai, Tianxiang Cui, Heng Yu.
FPGA Routing Congestion Prediction via Graph Learning-Aided Conditional GAN
Qingyu Yang, Jingjin Li, Rui Li, Yuting He, Yajun Ha, Linlin Shen, Ruibin Bai, Heng Yu.
De$^2$r: Unifying DVFS and Early-Exit for Continuous Embedded AI Inference via Reinforcement Learning
Yuting He, Jingjin Li, Chengtai Li, Qingyu Yang, Zheng Wang, Heshan Du, Jianfeng Ren, Heng Yu.
A Scenario-Customizable and Visual-Rendering Simulator for On-Vehicle Vibration Energy Harvesting
Fangcheng Guo, Jingjin Li, Chung Ket Thein, Anqi Gao, Jianfeng Ren, Chang Heon Lee, Jiawei Li, Tianxiang Cui, Heng Yu.
Open to Collaboration
I am interested in research collaboration on design/runtime optimization of the AI system, hardware/software co-design, AI-driven EDA, etc.