activity
20192026
most citedTransfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries

5 citations · 17 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

CrowdOcc: Monocular Semantic Scene Completion for Quadruped Robots in Crowded Indoor Environments

Feiyang Chen, Jincheng Hu, Yiduo Chen +5

Monocular semantic scene completion (SSC) for quadruped robots remains underexplored in real crowded indoor environments, where human-scene occlusion disrupts static geometry and h…

cs.RO2025

Thor: Towards Human-Inspired Whole-Body Reactions for Intense Contact-Rich Environments

Gangyang Li, Hongzhe Shi, Qing Shi +5

Maintaining whole-body stability and motion tracking under large interaction forces remains challenging for humanoids. We present Thor, a reinforcement learning framework for force…

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…

cs.LG2022★ 1 cited

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…

cs.CV2022★ 5 cited

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…

cs.LG2022★ 1 cited

Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction

Shilin Pu, Liang Chu, Zhuoran Hou +3

Traffic prediction plays an important role in the realization of traffic control and scheduling tasks in intelligent transportation systems. With the diversification of data source…

cs.LG2022

A Transferable Intersection Reconstruction Network for Traffic Speed Prediction

Pengyu Fu, Liang Chu, Zhuoran Hou +3

Traffic speed prediction is the key to many valuable applications, and it is also a challenging task because of its various influencing factors. Recent work attempts to obtain more…

cs.LG2019★ 3 cited

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…