Few Features Attack to Fool Machine Learning Models through Mask-based GAN. - Feng Chen; Yunkai Shang; Jincheng Hu; Bo Xu 011 (IJCNN, 2020)

Local-constraint transformer network for stock movement prediction. - Jincheng Hu (Int. J. Comput. Sci. Eng., 2021)

An Intelligent Energy Management Strategy for Plug-in Hybrid Electric Vehicle Inspired from Monte Carlo Tree Search. - Yang Lin; Liang Chu; Jincheng Hu; Yuanjian Zhang; Zhuoran Hou (ITSC, 2022)

DRL-ECMS: An Adaptive Hierarchical Equivalent Consumption Minimization Strategy Based on Deep Reinforcement Learning. - Yang Lin; Liang Chu; Jincheng Hu; Yuanjian Zhang; Zhuoran Hou (IV, 2022)

A Transferable Intersection Reconstruction Network for Traffic Speed Prediction. - Pengyu Fu; Liang Chu; Zhuoran Hou; Jincheng Hu; Yanjun Huang; Yuanjian Zhang (CoRR, 2022)

Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction. - Shilin Pu; Liang Chu; Zhuoran Hou; Jincheng Hu; Yanjun Huang; Yuanjian Zhang (CoRR, 2022)

Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model. - Shilin Pu; Liang Chu; Zhuoran Hou; Jincheng Hu; Yanjun Huang; Yuanjian Zhang (CoRR, 2022)

Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries. - Pengyu Fu; Liang Chu; Zhuoran Hou; Jincheng Hu; Yanjun Huang; Yuanjian Zhang (CoRR, 2022)

Progress and summary of reinforcement learning on energy management of MPS-EV. - Jincheng Hu; Yang Lin; Liang Chu; Zhuoran Hou; Jihan Li; Jingjing Jiang; Yuanjian Zhang (CoRR, 2022)

Potential Auto-driving Threat: Universal Rain-removal Attack. - Jincheng Hu; Jihao Li; Zhuoran Hou; Jingjing Jiang; Cunjia Liu; Yuanjian Zhang (CoRR, 2022)

Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning. - Jincheng Hu; Yang Lin; Jihao Li; Zhuoran Hou; Dezong Zhao; Quan Zhou 006; Jingjing Jiang; Yuanjian Zhang (CoRR, 2022)

Two-stream attention network with local and non-local dependence for referring relationships. - Jincheng Hu; Tao Wang (Int. J. Embed. Syst., 2022)

State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model. - Pengyu Fu; Liang Chu; Zhuoran Hou; Zhiqi Guo 003; Yang Lin; Jincheng Hu (Sensors, 2022)

State of Health Prediction of Lithium-Ion Battery Based on Deep Dilated Convolution. - Pengyu Fu; Liang Chu; Jihao Li; Zhiqi Guo 003; Jincheng Hu; Zhuoran Hou (Sensors, 2022)

A Dual Distribution Control Method for Multi-Power Components Energy Output of 4WD Electric Vehicles. - Zhiqi Guo 003; Liang Chu; Zhuoran Hou; Yinhang Wang; Jincheng Hu; Wen Sun (Sensors, 2022)

A Dual-Adaptive Equivalent Consumption Minimization Strategy for 4WD Plug-In Hybrid Electric Vehicles. - Jianhua Guo 003; Zhiqi Guo 003; Liang Chu; Di Zhao; Jincheng Hu; Zhuoran Hou (Sensors, 2022)

An Equivalent Consumption Minimization Strategy for a Parallel Plug-In Hybrid Electric Vehicle Based on an Environmental Perceiver. - Shilin Pu; Liang Chu; Jincheng Hu; Shibo Li; Zhuoran Hou (Sensors, 2022)

SGGformer: Shifted Graph Convolutional Graph-Transformer for Traffic Prediction. - Shilin Pu; Liang Chu; Jincheng Hu; Shibo Li; Jihao Li; Wen Sun (Sensors, 2022)

Self-supervised Contrastive Few-Shot Learning for Motor Imagery Brain-Computer Interfaces. - Jingwei Zhang; Guoqian Jiang; Jincheng Hu; Ping Xie (ICCPR, 2023)

Toward Evaluating the Robustness of Deep Learning Based Rain Removal Algorithm in Autonomous Driving. - Yiming Qin; Jincheng Hu; Bang Wu (SecTL@AsiaCCS, 2023)

A GRU-based hybrid global stock price index forecasting model with group decision-making. - Jincheng Hu; Qingqing Chang; Siyu Yan (Int. J. Comput. Sci. Eng., 2023)

A Novel A-ECMS Energy Management Strategy Based on Dragonfly Algorithm for Plug-in FCEVs. - Shibo Li; Liang Chu; Jincheng Hu; Shilin Pu; Jihao Li; Zhuoran Hou; Wen Sun (Sensors, 2023)

Research on Guidance Methods of Digital Twin Robotic Arms Based on User Interaction Experience Quantification. - Wenyu Wu; Mingrui Li; Jincheng Hu; Shuwei Zhu; Chengqi Xue (Sensors, 2023)

A Learning-and-Tube-Based Robust Model Predictive Control Strategy for Plug-In Hybrid Electric Vehicle. - Zhuoran Hou; Liang Chu; Zhiqi Guo 003; Jincheng Hu; Jingjing Jiang; Jun Yang 011; Zheng Chen 008; Yuanjian Zhang (IEEE Trans. Intell. Veh., 2024)

Sequence Knowledge Enhancement Distillation Framework for Ultra-Fast Image Deraining. - Jihao Li; Jincheng Hu; Ming Liu; Pengyu Fu; Jingjing Jiang; Yuanjian Zhang (ICASSP, 2025)

Ultra-Fast Deraining Plugin for Vision-Based Perception of Autonomous Driving. - Jihao Li; Jincheng Hu; Pengyu Fu; Jun Yang 011; Jingjing Jiang; Yuanjian Zhang (IEEE Trans. Intell. Transp. Syst., 2025)