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Tian-Jian Luo
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2020 – today
- 2024
- [j9]Zikun Cai, Tian-Jian Luo
, Xuan Cao:
Multi-branch spatial-temporal-spectral convolutional neural networks for multi-task motor imagery EEG classification. Biomed. Signal Process. Control. 93: 106156 (2024) - [j8]Tian-Jian Luo
:
Selective multi-view time-frequency decomposed spatial feature matrix for motor imagery EEG classification. Expert Syst. Appl. 247: 123239 (2024) - [j7]Tian-Jian Luo
:
Dual regularized spatial-temporal features adaptation for multi-source selected cross-subject motor imagery EEG classification. Expert Syst. Appl. 255: 124673 (2024) - 2023
- [j6]Tian-Jian Luo
:
Parallel genetic algorithm based common spatial patterns selection on time-frequency decomposed EEG signals for motor imagery brain-computer interface. Biomed. Signal Process. Control. 80(Part): 104397 (2023) - [j5]Tian-Jian Luo
:
A comparative survey of SSVEP recognition algorithms based on template matching of training trials. Int. J. Intell. Comput. Cybern. 16(1): 46-67 (2023) - [c4]Tian-Jian Luo
:
An efficient domain adaptation framework for cross-subject EEG classification. BIBM 2023: 2137-2142 - [c3]Yifan Zhou, Tian-Jian Luo, Xiaochen Zhang, Te Han:
Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding. PRCV (13) 2023: 407-423 - 2022
- [j4]Tian-Jian Luo
, Changle Zhou:
Lateralized modulation brought by discrepancy speed ratios of left and right arm movements during human action observation: an EEG study. Multim. Tools Appl. 81(13): 17567-17594 (2022) - [c2]Tian-Jian Luo
:
Dual regularized feature extraction and adaptation for cross-subject motor imagery EEG classification. BIBM 2022: 1092-1099 - 2020
- [j3]Tian-Jian Luo, Yachao Fan, Lifei Chen, Gongde Guo, Changle Zhou:
EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss. Frontiers Neuroinformatics 14: 15 (2020) - [j2]Tian-Jian Luo
:
High-resolution SAR images segmentation using NSCT denoising and QIGA based parameters selection of PCNN model. Multim. Tools Appl. 79(39-40): 29513-29535 (2020)
2010 – 2019
- 2018
- [j1]Tian-Jian Luo, Changle Zhou, Fei Chao
:
Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network. BMC Bioinform. 19(1): 344:1-344:18 (2018) - [c1]Tian-Jian Luo, Yachao Fan, Jitu Lv, Changle Zhou:
Deep reinforcement learning from error-related potentials via an EEG-based brain-computer interface. BIBM 2018: 697-701
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