5 citations · 13 across the 6 of their papers we have counts for
6 papers
Thor: Towards Human-Level Whole-Body Reactions for Intense Contact-Rich Environments
Gangyang Li, Qing Shi, Youhao Hu +3
Humanoids hold great potential for service, industrial, and rescue applications, in which robots must sustain whole-body stability while performing intense, contact-rich interactio…
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…
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…
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Shilin Pu, Liang Chu, Zhuoran Hou +3
Accurate traffic conditions prediction provides a solid foundation for vehicle-environment coordination and traffic control tasks. Because of the complexity of road network data in…
Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries
Pengyu Fu, Liang Chu, Zhuoran Hou +3
In recent years, significant progress has been made in transportation electrification. And lithium-ion batteries (LIB), as the main energy storage devices, have received widespread…
Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN
Feng Chen, Yunkai Shang, Bo Xu +1
GAN is a deep-learning based generative approach to generate contents such as images, languages and speeches. Recently, studies have shown that GAN can also be applied to generativ…