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ORCIDTian-jian Luo 0001
Person information
- affiliation: Fujian Normal University, College of Computer and Cyber Security, Digital Fujian Internet-of-Thing Laboratory of Environmental Monitoring, China
Other persons with the same name
- Tian-jian Luo (aka: Tian-Jian Luo) — disambiguation page
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2020 – today
- 2026
[j21]Qinghua Zhang
, Jiani Xiong, Yangqiang Wang, Tian-Jian Luo, Wei Gao, Yucai Lin:
Towards gastric cancer pathological segmentation: A large-scale whole-slide images dataset and dual-stream mask guided attention U-net. Biomed. Signal Process. Control. 111: 108398 (2026)- [j20]Min He, Xuan Cao, Tian-jian Luo:
Cyclic deep representation-based domain adaptation for cross-subject motor imagery classification. Biomed. Signal Process. Control. 118: 109762 (2026) - [j19]Tian-jian Luo, Qinghua Zhang:
MSFLUNet: A multi-scale feature fusion lightweight U-Net for efficient medical image segmentation. Biomed. Signal Process. Control. 121: 110338 (2026) - [j18]Qiaomei Huang, Zikun Cai, Tian-jian Luo:
Multiple regularized knowledge transfer learning for cross-subject motor imagery electroencephalogram classification. Eng. Appl. Artif. Intell. 165: 113397 (2026) - [j17]Tian-jian Luo:
Dual-templates transferred canonical correlation analysis for cross-subject SSVEP-based BCIs. Expert Syst. Appl. 302: 130611 (2026) - 2025
- [j16]Yanhao Lv, Tian-jian Luo:
Multi-stimulus generalized and corrected canonical correlation analysis for enhancing SSVEP detection. Appl. Intell. 55(15): 977 (2025) - [j15]Tian-jian Luo, Zikun Cai:
Diffusion models-based motor imagery EEG sample augmentation via mixup strategy. Expert Syst. Appl. 262: 125585 (2025) - [j14]Siqi Yang, Zhihua Huang, Tian-jian Luo:
Joint spatial feature adaption and confident pseudo-label selection for cross-subject motor imagery EEG signals classification. Expert Syst. Appl. 278: 127312 (2025) - [j13]Yuru Yang, Tian-jian Luo:
Cross-subject motor imagery classification via transfer Riemannian space-based sparse coding. Int. J. Intell. Comput. Cybern. 18(3): 537-562 (2025) - 2024
- [j12]Tian-jian Luo:
Selective regularized spatial features representation learning for motor imagery EEG based on alternating cascaded model. Appl. Soft Comput. 165: 112087 (2024) - [j11]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) - [j10]Tian-jian Luo:
Class-specific regularized joint distribution alignment for unsupervised domain adaptation. Eng. Appl. Artif. Intell. 131: 107877 (2024) - [j9]Tian-jian Luo:
Efficient one-step multi-trial electroencephalograph spectral clustering via unsupervised covariance-based representations. Eng. Appl. Artif. Intell. 138: 109502 (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) - [j6]Tian-jian Luo:
Cross-subject EEG feature matrix classification method and its application in brain-computer interface. Multim. Tools Appl. 83(33): 79627-79646 (2024) - 2023
- [j5]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) - [c3]Tian-Jian Luo:
An efficient domain adaptation framework for cross-subject EEG classification. BIBM 2023: 2137-2142 - 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
Coauthor Index
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