Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges J Tang, F Yuan, X Shen, Z Wang, M Rao, Y He, Y Sun, X Li, W Zhang, Y Li, ... Advanced Materials 31 (49), 1902761, 2019 | 661 | 2019 |
Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition X Shen, X Liu, X Hu, D Zhang, S Song IEEE Transactions on Affective Computing 14 (3), 2496-2511, 2022 | 160 | 2022 |
Exploring EEG microstates for affective computing: decoding valence and arousal experiences during video watching* X Shen, X Hu, S Liu, S Song, D Zhang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 27 | 2020 |
Short-term PM2. 5 exposure and cognitive function: Association and neurophysiological mechanisms L Ke, Y Zhang, Y Fu, X Shen, Y Zhang, X Ma, Q Di Environment International 170, 107593, 2022 | 26 | 2022 |
Variation in longitudinal trajectories of cortical sulci in normal elderly X Shen, T Liu, D Tao, Y Fan, J Zhang, S Li, J Jiang, W Zhu, Y Wang, ... NeuroImage 166, 1-9, 2018 | 26 | 2018 |
Domain adaptation for cross-subject emotion recognition by subject clustering J Liu, X Shen, S Song, D Zhang 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021 | 24 | 2021 |
A large finer-grained affective computing EEG dataset J Chen, X Wang, C Huang, X Hu, X Shen, D Zhang Scientific Data 10 (1), 740, 2023 | 22 | 2023 |
The EEG microstate representation of discrete emotions J Liu, X Hu, X Shen, Z Lv, S Song, D Zhang International Journal of Psychophysiology 186, 33-41, 2023 | 19 | 2023 |
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience X Shen, L Tao, X Chen, S Song, Q Liu, D Zhang arXiv preprint arXiv:2402.14213, 2024 | 2 | 2024 |
Unveiling frequency-specific microstate correlates of anxiety and depression symptoms S Xue, X Shen, D Zhang, Z Sang, Q Long, S Song, J Wu Brain Topography 38 (1), 12, 2025 | 1 | 2025 |
Electrophysiological representations of multivariate human emotion experience J Liu, X Hu, X Shen, S Song, D Zhang Cognition and Emotion 38 (3), 378-388, 2024 | 1 | 2024 |
Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition X Shen, R Gan, K Wang, S Yang, Q Zhang, Q Liu, D Zhang, S Song arXiv preprint arXiv:2411.04568, 2024 | | 2024 |
A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces Y Cui, X Shen, D Zhang, C Yang arXiv preprint arXiv:2407.04738, 2024 | | 2024 |
Exploring the Neural Basis and Validity of Ordinal Emotion Representation through EEG X Chen, X Xu, D Zhang, Q Liu, X Shen bioRxiv, 2024.11. 21.624627, 2024 | | 2024 |
Perturbing a Neural Network to Infer Effective Connectivity: Evidence from Synthetic EEG Data P Yang, X Shen, Z Li, Z Luo, K Lou, Q Liu arXiv preprint arXiv:2307.09770, 2023 | | 2023 |
基于脑电功能连接微状态的情绪状态解码 沈新科, 李奕超, 刘锦, 宋森, 张丹 智能科学与技术学报 3 (1), 49-58, 2021 | | 2021 |