4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.AI2022★ 3 cited
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning
Jincheng Hu, Yang Lin, Jihao Li +5
Reinforcement learning-based (RL-based) energy management strategy (EMS) is considered a promising solution for the energy management of electric vehicles with multiple power sourc…
cs.CV2022
Potential Auto-driving Threat: Universal Rain-removal Attack
Jinchegn Hu, Jihao Li, Zhuoran Hou +3
The problem of robustness in adverse weather conditions is considered a significant challenge for computer vision algorithms in the applicants of autonomous driving. Image rain rem…
cs.LG2022★ 4 cited
Progress and summary of reinforcement learning on energy management of MPS-EV
Jincheng Hu, Yang Lin, Liang Chu +4
The high emission and low energy efficiency caused by internal combustion engines (ICE) have become unacceptable under environmental regulations and the energy crisis. As a promisi…