A Mixed DG Method for Linearized Incompressible Magnetohydrodynamics. - Paul Houston; Dominik Schötzau; Xiaoxi Wei (J. Sci. Comput., 2009)

Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing. - Denghao Li; Pablo Ortega; Xiaoxi Wei; Aldo Faisal (NER, 2021)

Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding. - Xiaoxi Wei; Pablo Ortega; A. Aldo Faisal (NER, 2021)

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; et al. (NeurIPS (Competition and Demos), 2021)

Federated deep transfer learning for EEG decoding using multiple BCI tasks. - Xiaoxi Wei; A. Aldo Faisal (NER, 2023)

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks. - Jinpei Han; Xiaoxi Wei; A. Aldo Faisal (CoRR, 2023)

Survey of Consciousness Theory from Computational Perspective. - Zihan Ding; Xiaoxi Wei; Yidan Xu (CoRR, 2023)

PSTP: accurate residue-level phase separation prediction using protein conformational and language model embeddings. - Mofan Feng; Liangjie Liu; Zhuo-Ning Xian; Xiaoxi Wei; Keyi Li; Wenqian Yan; Qing Lu; Yi Shi; Guang He (Briefings Bioinform., 2025)