Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline. - Dongrui Wu; Ruimin Peng; Jian Huang 001; Zhigang Zeng (CoRR, 2020)

Transfer learning for motor imagery based brain-computer interfaces: A tutorial. - Dongrui Wu; Xue Jiang; Ruimin Peng (Neural Networks, 2022)

DARC: High-dimensional Diffusing Anomaly Detection and Root Cause Location in Cloud Computing Systems. - Wanning Sun; Xuhua Ma; Ruimin Peng; Yifan Xu; Dongrui Wu (IEEE Big Data, 2023)

WAVELET2VEC: A Filter Bank Masked Autoencoder for EEG-Based Seizure Subtype Classification. - Ruimin Peng; Changming Zhao; Yifan Xu; Jun Jiang; Guangtao Kuang; Jianbo Shao; Dongrui Wu (ICASSP, 2023)

Cross-Modal Diversity-Based Active Learning for Multi-Modal Emotion Estimation. - Yifan Xu; Lubin Meng; Ruimin Peng; Yingjie Yin; Jingting Ding; Liang Li; Dongrui Wu (IJCNN, 2023)

Layer Normalization for TSK Fuzzy System Optimization in Regression Problems. - Yuqi Cui; Yifan Xu; Ruimin Peng; Dongrui Wu (IEEE Trans. Fuzzy Syst., 2023)

Type-1 and Interval Type-2 Fuzzy Systems [AI- eXplained]. - Dongrui Wu; Ruimin Peng; Jerry M. Mendel (IEEE Comput. Intell. Mag., 2023)

BoostTree and BoostForest for Ensemble Learning. - Changming Zhao; Dongrui Wu; Jian Huang 001; Ye Yuan 002; Hai-Tao Zhang; Ruimin Peng; Zhenhua Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification. - Ruimin Peng; Jiayu An; Dongrui Wu (SMC, 2024)

Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification. - Ruimin Peng; Zhenbang Du; Changming Zhao; Jingwei Luo; Wenzhong Liu; Xinxing Chen; Dongrui Wu (CoRR, 2024)

Bagging and Boosting Fine-Tuning for Ensemble Learning. - Changming Zhao; Ruimin Peng; Dongrui Wu (IEEE Trans. Artif. Intell., 2024)