Xiaoxi Wei

PhD Student

Xiaoxi is a second-year PhD student working on Brain-Computer Interfaces. His research focuses on EEG decoding with deep learning to help people control surroundings with their brainwaves. Previously, he finished an MSc in Advanced Computing at Imperial College London, UK, and a Bachelor in Computing at Nankai University, China.

Research Brief

Xiaoxi's research interests focus on brainwave decoding and Brain-Computer Interfaces with machine learning to help people, especially paralyzed patients, control their surroundings with the mind. For data collection, there is usually a long training period for people who want to use such systems, sometimes even for months. Xiaoxi is currently working on reducing the long setup time with transfer learning methods and other approaches.

Lab Publications

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets


Xiaoxi Wei, A Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos Laskaris, Dimitrios A Adamos, Stefanos Zafeiriou, William C Duong, Stephen M Gordon, Vernon J Lawhern, Maciej ƚliwowski, Vincent Rouanne, Piotr Tempczyk

Proceedings of Machine Learning Research