Wu, Dongrui

Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach

He, H., & Wu, D. (2020) · IEEE Transactions on Biomedical Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 569

Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016

Wu, D., Xu, Y., & Lu, B.-L. (2022) · IEEE Transactions on Cognitive and Developmental Systems

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 434

On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers

Wu, D. (2012) · IEEE Transactions on Fuzzy Systems

Fuzzy Logic and Control SystemsAdvanced Algebra and Logic

Cited by 339

Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

Jiang, Y., Wu, D., Deng, Z., Qian, P., Wang, J., Wang, G., Chung, F.-L., Choi, K.-S., & Wang, S. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 221

Spatial Filtering for EEG-Based Regression Problems in Brain–Computer Interface (BCI)

Wu, D., King, J.-T., Chuang, C.-H., Lin, C.-T., & Jung, T.-P. (2018) · IEEE Transactions on Fuzzy Systems

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 116

Personalized Human Activity Recognition Based on Integrated Wearable Sensor and Transfer Learning

Fu, Z., He, X., Wang, E., Huo, J., Huang, J., & Wu, D. (2021) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 79

Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization

Wu, D., Lawhern, V. J., Hairston, W. D., & Lance, B. J. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

EEG and Brain-Computer InterfacesDomain Adaptation and Few-Shot Learning

Cited by 74

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features

Wu, D., Lance, B. J., Lawhern, V. J., Gordon, S., Jung, T.-P., & Lin, C.-T. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 64

Improved Neural Signal Classification in a Rapid Serial Visual Presentation Task Using Active Learning

Marathe, A. R., Lawhern, V. J., Wu, D., Slayback, D., & Lance, B. J. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 64

Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach

He, H., & Wu, D. (2017) · Lecture Notes in Computer Science

EEG and Brain-Computer InterfacesMuscle activation and electromyography studies

Cited by 22

Active semi-supervised transfer learning (ASTL) for offline BCI calibration

Wu, D. (2017) · 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

EEG and Brain-Computer InterfacesDomain Adaptation and Few-Shot Learning

Cited by 16

Review of training-free event-related potential classification approaches in the World Robot Contest 2021

Wu, H., & Wu, D. (2022) · Brain Science Advances

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 7