2024

• [Conference] Yuting He, Jingjin Li, Chengtai Li, Qingyu Yang, Zheng Wang, Heshan Du, Jianfeng Ren, Heng Yu, “De$^2$r: Unifying DVFS and Early-Exit for Continuous Embedded AI Inference via Reinforcement Learning”, Design, Automation and Test in Europe Conference (DATE), 2025
• [Journal] Qinglin Mao, Jingjin Li, Hang Zhou, Pushpendu Kar, Anthony Graham Bellotti, “ALDII: Adaptive Learning-based Document Image Inpainting to enhance the handwritten Chinese character legibility of human and machine”, Neurocomputing (NEUCOM)
• [Journal] Fangcheng Guo, Jingjin Li, Chung Ket Thein, Anqi Gao, Jianfeng Ren, Chang Heon Lee, Jiawei Li, Tianxiang Cui, Heng Yu, “A Scenario-Customizable and Visual-Rendering Simulator for On-Vehicle Vibration Energy Harvesting”, Sustainable Computing: Informatics and Systems (SUSCOM) github
• [Journal] Jingjin Li, Weixiong Jiang, Yuting He, Qingyu Yang, Anqi Gao, Yajun Ha, Ender Özcan, Ruibin Bai, Tianxiang Cui, Heng Yu, “Flexible invocation-based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems”, IEEE Transactions on Computers (IEEE TC) bilibili youtube

2022

• [Conference] Yuting He, Jiahui Meng, Chang Heon Lee, Jianfeng Ren, Jingjin Li, Qingyu Yang, Liyu Cai, Heng Yu, “Efficient and Accurate Feature Extraction Using Local Density Detector”, Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2022