Multisource Transfer Learning for Cross-subject EEG Emotion Recognition J Li, S Qiu, YY Shen, CL Liu, H He IEEE Transactions on Cybernetics 50 (7), 3281-3293, 2019 | 313 | 2019 |
Hierarchical Convolutional Neural Networks for EEG-based Emotion Recognition J Li, Z Zhang, H He Cognitive Computation 10 (2), 368-380, 2018 | 303 | 2018 |
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity J Li, S Qiu, C Du, Y Wang, H He IEEE Transactions on Cognitive and Developmental Systems 12 (2), 344-353, 2019 | 221 | 2019 |
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition H Chen, M Jin, Z Li, C Fan, J Li, H He Frontiers in Neuroscience, 2021 | 112 | 2021 |
Boundary Smoothing for Named Entity Recognition E Zhu, J Li Annual Meeting of the Association for Computational Linguistics (ACL 2022), 2022 | 111 | 2022 |
Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19 J Li, G Zhao, Y Tao, P Zhai, H Chen, H He, T Cai Pattern Recognition 114, 107848, 2021 | 90 | 2021 |
Semi-supervised Deep Generative Modelling of Incomplete Multi-modality Emotional Data C Du, C Du, H Wang, J Li, WL Zheng, BL Lu, H He Proceedings of the 26th ACM International Conference on Multimedia, 108-116, 2018 | 61 | 2018 |
Dynamic Domain Adaptation for Class-aware Cross-subject and Cross-session EEG Emotion Recognition Z Li, E Zhu, M Jin, C Fan, H He, T Cai, J Li IEEE Journal of Biomedical and Health Informatics 26 (12), 5964-5973, 2022 | 58 | 2022 |
Decoding visual neural representations by multimodal learning of brain-visual-linguistic features C Du, K Fu, J Li, H He IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 10760 …, 2023 | 57 | 2023 |
Multi-task Learning for Lung Nodule Classification on Chest CT P Zhai, Y Tao, H Chen, T Cai, J Li IEEE Access 8, 180317-180327, 2020 | 52 | 2020 |
Implementation of EEG Emotion Recognition System Based on Hierarchical Convolutional Neural Networks J Li, Z Zhang, H He International Conference on Brain Inspired Cognitive Systems, 22-33, 2016 | 35 | 2016 |
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models C Du, J Li, L Huang, H He Engineering 5 (5), 948-953, 2019 | 31 | 2019 |
Meernet: multi-source EEG-based emotion recognition network for generalization across subjects and sessions H Chen, Z Li, M Jin, J Li 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 28 | 2021 |
EEG-based Emotion Recognition with Similarity Learning Network Y Wang, S Qiu, J Li, X Ma, Z Liang, H Li, H He 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 28 | 2019 |
EEG-based emotion recognition using graph convolutional network with learnable electrode relations M Jin, H Chen, Z Li, J Li 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 22 | 2021 |
Predicting Lung Cancers using Epidemiological Data: A Generative-discriminative Framework J Li, Y Tao, T Cai IEEE/CAA Journal of Automatica Sinica, 2021 | 20 | 2021 |
PGCN: Pyramidal graph convolutional network for EEG emotion recognition M Jin, C Du, H He, T Cai, J Li IEEE Transactions on Multimedia, 2024 | 19 | 2024 |
FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition J Li, H Chen, T Cai 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 19 | 2020 |
EEG-based Emotion Recognition with Prototype-based Data Representation Y Wang, S Qiu, C Zhao, W Yang, J Li, X Ma, H He 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 19 | 2019 |
A CNN-based Comparing Network for the Detection of Steady-state Visual Evoked Potential Responses J Xing, S Qiu, X Ma, C Wu, J Li, S Wang, H He Neurocomputing 403, 452-461, 2020 | 18 | 2020 |