Xiang Zhang
Orcid: 0000-0002-7432-9904Affiliations:
- Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
According to our database1,
Xiang Zhang
authored at least 26 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Modeling Task Engagement to Regulate Reinforcement Learning-Based Decoding for Online Brain Control.
IEEE Trans. Cogn. Dev. Syst., June, 2025
Kernel-Based Actor-Critic Learning Framework for Autonomous Brain Control on Trajectory.
IEEE Trans. Cogn. Dev. Syst., June, 2025
2024
Aligning Transregional Neural Dynamics with Transformer-based Variational Autoencoders<sup>*</sup>.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Facilitating Knowledge Transfer: An Approach for Matching Neural Patterns between Motor Tasks.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
A Novel KL Divergence Optimization Method for Aligning Neural Population Patterns During Task Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
State-space Model Based Inverse Reinforcement Learning for Reward Function Estimation in Brain-machine Interfaces.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Estimating Reward Function from Medial Prefrontal Cortex Cortical Activity using Inverse Reinforcement Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Cluster Kernel Reinforcement Learning-based Kalman Filter for Three-Lever Discrimination Task in Brain-Machine Interface.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Neural Comput., 2021
A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding.
Entropy, 2021
Cross-Intensity-Based Spatial-Temporal Clustering of Spike Trains for Brain State Estimation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Reinforcement Learning-based Kalman Filter for Adaptive Brain Control in Brain-Machine Interface<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Multivariate Encoding Analysis of Medial Prefrontal Cortex Cortical Activity during Task Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Kernel Temporal Difference based Reinforcement Learning for Brain Machine Interfaces<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Covariant Cluster Transfer for Kernel Reinforcement Learning in Brain-Machine Interface.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
A Weight Transfer Mechanism for Kernel Reinforcement Learning Decoding in Brain-Machine Interfaces.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018