Xiaoxi Wei

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 10

Top Topics

Thin Plate Spline

Transfer Learning

Top Venues

NeurIPS (Competition and Demos)

Publications

Xiaoxi Wei, A. Aldo Faisal
Federated deep transfer learning for EEG decoding using multiple BCI tasks. NER (2023)
Jinpei Han, Xiaoxi Wei, A. Aldo Faisal
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks. CoRR (2023)
Zihan Ding, Xiaoxi Wei, Yidan Xu
Survey of Consciousness Theory from Computational Perspective. CoRR (2023)
Xiaoxi Wei, A. Aldo Faisal
Federated deep transfer learning for EEG decoding using multiple BCI tasks. CoRR (2022)
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 A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR (2022)
Xiaoxi Wei, Pablo Ortega, A. Aldo Faisal
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding. NER (2021)
Denghao Li, Pablo Ortega, Xiaoxi Wei, Aldo Faisal
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing. CoRR (2021)
Denghao Li, Pablo Ortega, Xiaoxi Wei, Aldo Faisal
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing. NER (2021)
Xiaoxi Wei, Pablo Ortega, A. Aldo Faisal
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding. CoRR (2021)
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 A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) (2021)
Paul Houston, Dominik Schötzau, Xiaoxi Wei
A Mixed DG Method for Linearized Incompressible Magnetohydrodynamics. J. Sci. Comput. 40 (1-3) (2009)