Jiaxing Wang

Orcid: 0000-0002-6061-3445

Affiliations:
  • Institute of Automation, Chinese Academy of Sciences, Beijing, China


According to our database1, Jiaxing Wang authored at least 31 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Upper Limb Motor Sequence Analysis: From Isolated to Sequential.
IEEE Trans. Ind. Informatics, July, 2025

TFTL: A Task-Free Transfer Learning Strategy for EEG-Based Cross-Subject and Cross-Dataset Motor Imagery BCI.
IEEE Trans. Biomed. Eng., February, 2025

2024
Toward a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model.
IEEE Trans. Instrum. Meas., 2024

Online Adaptive Decoding for MI-BCI Based on Stimulation and Feature Optimization and Data Augmentation.
IEEE Trans. Instrum. Meas., 2024

2023
Personalized gait trajectory generation based on anthropometric features using Random Forest.
J. Ambient Intell. Humaniz. Comput., December, 2023

EEG-Based Focus of Attention Tracking and Regulation During Dual-Task Training for Neural Rehabilitation of Stroke Patients.
IEEE Trans. Biomed. Eng., March, 2023

Drivable Space of Rehabilitation Robot for Physical Human-Robot Interaction: Definition and an Expanding Method.
IEEE Trans. Robotics, February, 2023

Enhanced EEG-fNIRS Classification through Concatenated Convolutional Neural Network with Band Analysis.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Transformer Based Cross-Subject Mental Workload Classification Using FNIRS for Real-World Application.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Calibration-Free Transfer Learning for EEG-Based Cross-Subject Motor Imagery Classification.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Neural Correlates of Single-Task Versus Cognitive-Motor Dual-Task Training.
IEEE Trans. Cogn. Dev. Syst., 2022

Muscle Synergy Analysis Based on NMF for Lower Limb Motor Function Assessment.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021
Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning.
IEEE Trans. Ind. Electron., 2021

GPR and SPSO-CG based gait pattern generation for subject-specific training.
Sci. China Inf. Sci., 2021

CNN-LSTM Network Based Prediction of Human Joint Angles Using Multi-Band SEMG and Historical Angles.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain-Computer Interface and Audiovisual Feedback.
IEEE Trans. Cogn. Dev. Syst., 2020

Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation.
Frontiers Neurorobotics, 2020

Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
SEMG and KNN Based Human Motion Intention Recognition for Active and Safe Neurorehabilitation.
Aust. J. Intell. Inf. Process. Syst., 2019

Damping Control Based Speed Adjustment Strategy for a Lower Limb Rehabilitation Robot.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Fully Automatic Dual-Guidewire Segmentation for Coronary Bifurcation Lesion.
Proceedings of the International Joint Conference on Neural Networks, 2019

BCI and Multimodal Feedback Based Attention Regulation for Lower Limb Rehabilitation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Adaptive Estimation of Human-Robot Interaction Force for Lower Limb Rehabilitation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Brain Functional Connectivity Analysis and Crucial Channel Selection Using Channel-Wise CNN.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Dynamics Based Fuzzy Adaptive Impedance Control for Lower Limb Rehabilitation Robot.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Towards Enhancement of Patients' Engagement: Online Modification of Rehabilitation Training Modes Using Facial Expression and Muscle Fatigue.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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