Deep reinforcement learning from error-related potentials via an EEG-based brain-computer interface. - Tian-jian Luo 001; Yachao Fan; Jitu Lv; Changle Zhou (BIBM, 2018)

Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network. - Tian-jian Luo 001; Changle Zhou; Fei Chao 001 (BMC Bioinform., 2018)

EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss. - Tian-Jian Luo 001; Yachao Fan; Lifei Chen; Gongde Guo; Changle Zhou (Frontiers Neuroinformatics, 2020)

High-resolution SAR images segmentation using NSCT denoising and QIGA based parameters selection of PCNN model. - Tian-jian Luo 001 (Multim. Tools Appl., 2020)

Dual regularized feature extraction and adaptation for cross-subject motor imagery EEG classification. - Tian-Jian Luo 001 (BIBM, 2022)

Lateralized modulation brought by discrepancy speed ratios of left and right arm movements during human action observation: an EEG study. - Tian-jian Luo 001; Changle Zhou (Multim. Tools Appl., 2022)

An efficient domain adaptation framework for cross-subject EEG classification. - Tian-Jian Luo 001 (BIBM, 2023)

Parallel genetic algorithm based common spatial patterns selection on time-frequency decomposed EEG signals for motor imagery brain-computer interface. - Tian-jian Luo 001 (Biomed. Signal Process. Control., 2023)

Selective regularized spatial features representation learning for motor imagery EEG based on alternating cascaded model. - Tian-jian Luo 001 (Appl. Soft Comput., 2024)

Multi-branch spatial-temporal-spectral convolutional neural networks for multi-task motor imagery EEG classification. - Zikun Cai; Tian-jian Luo 001; Xuan Cao (Biomed. Signal Process. Control., 2024)

Class-specific regularized joint distribution alignment for unsupervised domain adaptation. - Tian-jian Luo 001 (Eng. Appl. Artif. Intell., 2024)

Efficient one-step multi-trial electroencephalograph spectral clustering via unsupervised covariance-based representations. - Tian-jian Luo 001 (Eng. Appl. Artif. Intell., 2024)

Selective multi-view time-frequency decomposed spatial feature matrix for motor imagery EEG classification. - Tian-jian Luo 001 (Expert Syst. Appl., 2024)

Dual regularized spatial-temporal features adaptation for multi-source selected cross-subject motor imagery EEG classification. - Tian-jian Luo 001 (Expert Syst. Appl., 2024)

Cross-subject EEG feature matrix classification method and its application in brain-computer interface. - Tian-jian Luo 001 (Multim. Tools Appl., 2024)

Diffusion models-based motor imagery EEG sample augmentation via mixup strategy. - Tian-jian Luo 001; Zikun Cai (Expert Syst. Appl., 2025)

Joint spatial feature adaption and confident pseudo-label selection for cross-subject motor imagery EEG signals classification. - Siqi Yang; Zhihua Huang; Tian-jian Luo 001 (Expert Syst. Appl., 2025)

Towards gastric cancer pathological segmentation: A large-scale whole-slide images dataset and dual-stream mask guided attention U-net. - Qinghua Zhang; Jiani Xiong; Yangqiang Wang; Tian-Jian Luo 001; Wei Gao; Yucai Lin (Biomed. Signal Process. Control., 2026)