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Ming Jin
Ming Jin
Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences
Dirección de correo verificada de ucas.ac.cn
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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 15, 778488, 2021
1312021
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
732022
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
302021
PGCN: Pyramidal graph convolutional network for EEG emotion recognition
M Jin, C Du, H He, T Cai, J Li
IEEE Transactions on Multimedia, 2024
272024
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
242021
Recognition of suspension liquid based on speckle patterns using deep learning
J Yan, M Jin, Z Xu, L Chen, Z Zhu, H Zhang
IEEE Photonics Journal 13 (1), 1-7, 2020
122020
Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition
M Jin, J Li
Proceedings of the 31st ACM International Conference on Multimedia, 5985-5993, 2023
72023
Reducing the calibration effort of EEG emotion recognition using domain adaptation with soft labels
Z Li, H Chen, M Jin, J Li
2021 43rd Annual international conference of the IEEE engineering in …, 2021
32021
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
M Jin, D Zhang, G Zhao, C Du, J Li
arXiv preprint arXiv:2409.15733, 2024
2024
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges
E Zhu, Y Liu, M Jin, J Li
arXiv preprint arXiv:2211.00301, 2022
2022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–10