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