Jincheng Hu

Orcid: 0009-0004-7578-5233

According to our database1, Jincheng Hu authored at least 32 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SoulX-FlashHead: Oracle-guided Generation of Infinite Real-time Streaming Talking Heads.
CoRR, February, 2026

Temporal similarity-constraint graph networks for stock prediction with stock relations.
Int. J. Comput. Sci. Eng., 2026

Identifying autism spectrum disorder diagnosis in children via temporal-frequency hyperdimensional computing with resting-state EEG.
Expert Syst. Appl., 2026

2025
CogMem: A Cognitive Memory Architecture for Sustained Multi-Turn Reasoning in Large Language Models.
CoRR, December, 2025

Thor: Towards Human-Level Whole-Body Reactions for Intense Contact-Rich Environments.
CoRR, October, 2025

Ultra-Fast Deraining Plugin for Vision-Based Perception of Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., January, 2025

Cryptocurrency Price Prediction Using LSTM and FEDformer Enhanced by Sentiment Analysis.
IEEE Access, 2025

Sequence Knowledge Enhancement Distillation Framework for Ultra-Fast Image Deraining.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
A Learning-and-Tube-Based Robust Model Predictive Control Strategy for Plug-In Hybrid Electric Vehicle.
IEEE Trans. Intell. Veh., January, 2024

2023
Research on Guidance Methods of Digital Twin Robotic Arms Based on User Interaction Experience Quantification.
Sensors, September, 2023

A Novel A-ECMS Energy Management Strategy Based on Dragonfly Algorithm for Plug-in FCEVs.
Sensors, February, 2023

A GRU-based hybrid global stock price index forecasting model with group decision-making.
Int. J. Comput. Sci. Eng., 2023

Toward Evaluating the Robustness of Deep Learning Based Rain Removal Algorithm in Autonomous Driving.
Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023

Self-supervised Contrastive Few-Shot Learning for Motor Imagery Brain-Computer Interfaces.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

2022
SGGformer: Shifted Graph Convolutional Graph-Transformer for Traffic Prediction.
Sensors, 2022

An Equivalent Consumption Minimization Strategy for a Parallel Plug-In Hybrid Electric Vehicle Based on an Environmental Perceiver.
Sensors, 2022

A Dual-Adaptive Equivalent Consumption Minimization Strategy for 4WD Plug-In Hybrid Electric Vehicles.
Sensors, 2022

A Dual Distribution Control Method for Multi-Power Components Energy Output of 4WD Electric Vehicles.
Sensors, 2022

State of Health Prediction of Lithium-Ion Battery Based on Deep Dilated Convolution.
Sensors, 2022

State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model.
Sensors, 2022

Two-stream attention network with local and non-local dependence for referring relationships.
Int. J. Embed. Syst., 2022

Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning.
CoRR, 2022

Potential Auto-driving Threat: Universal Rain-removal Attack.
CoRR, 2022

Progress and summary of reinforcement learning on energy management of MPS-EV.
CoRR, 2022

Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries.
CoRR, 2022

Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model.
CoRR, 2022

Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction.
CoRR, 2022

A Transferable Intersection Reconstruction Network for Traffic Speed Prediction.
CoRR, 2022

DRL-ECMS: An Adaptive Hierarchical Equivalent Consumption Minimization Strategy Based on Deep Reinforcement Learning.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

An Intelligent Energy Management Strategy for Plug-in Hybrid Electric Vehicle Inspired from Monte Carlo Tree Search.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

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

2020
Few Features Attack to Fool Machine Learning Models through Mask-based GAN.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020


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