Tian-jian Luo
Orcid: 0000-0002-5985-6001Affiliations:
- Fujian Normal University, College of Computer and Cyber Security, Digital Fujian Internet-of-Thing Laboratory of Environmental Monitoring, China
According to our database1,
Tian-jian Luo
authored at least 16 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
Expert Syst. Appl., 2025
2024
Cross-subject EEG feature matrix classification method and its application in brain-computer interface.
Multim. Tools Appl., October, 2024
Dual regularized spatial-temporal features adaptation for multi-source selected cross-subject motor imagery EEG classification.
Expert Syst. Appl., 2024
Selective multi-view time-frequency decomposed spatial feature matrix for motor imagery EEG classification.
Expert Syst. Appl., 2024
Efficient one-step multi-trial electroencephalograph spectral clustering via unsupervised covariance-based representations.
Eng. Appl. Artif. Intell., 2024
Class-specific regularized joint distribution alignment for unsupervised domain adaptation.
Eng. Appl. Artif. Intell., 2024
Multi-branch spatial-temporal-spectral convolutional neural networks for multi-task motor imagery EEG classification.
Biomed. Signal Process. Control., 2024
Selective regularized spatial features representation learning for motor imagery EEG based on alternating cascaded model.
Appl. Soft Comput., 2024
2023
Parallel genetic algorithm based common spatial patterns selection on time-frequency decomposed EEG signals for motor imagery brain-computer interface.
Biomed. Signal Process. Control., 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Lateralized modulation brought by discrepancy speed ratios of left and right arm movements during human action observation: an EEG study.
Multim. Tools Appl., 2022
Dual regularized feature extraction and adaptation for cross-subject motor imagery EEG classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2020
High-resolution SAR images segmentation using NSCT denoising and QIGA based parameters selection of PCNN model.
Multim. Tools Appl., 2020
EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss.
Frontiers Neuroinformatics, 2020
2018
Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network.
BMC Bioinform., 2018
Deep reinforcement learning from error-related potentials via an EEG-based brain-computer interface.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018