Deep multimodal multilinear fusion with high-order polynomial pooling M Hou, J Tang, J Zhang, W Kong, Q Zhao Advances in Neural Information Processing Systems 32, 2019 | 117 | 2019 |
CTFN: Hierarchical learning for multimodal sentiment analysis using coupled-translation fusion network J Tang, K Li, X Jin, A Cichocki, Q Zhao, W Kong Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 63 | 2021 |
EEG-based sleep staging analysis with functional connectivity H Huang, J Zhang, L Zhu, J Tang, G Lin, W Kong, X Lei, L Zhu Sensors 21 (6), 1988, 2021 | 39 | 2021 |
Dynamically adjust word representations using unaligned multimodal information J Guo, J Tang, W Dai, Y Ding, W Kong Proceedings of the 30th ACM international conference on multimedia, 3394-3402, 2022 | 37 | 2022 |
BAFN: Bi-direction attention based fusion network for multimodal sentiment analysis J Tang, D Liu, X Jin, Y Peng, Q Zhao, Y Ding, W Kong IEEE Transactions on Circuits and Systems for Video Technology 33 (4), 1966-1978, 2022 | 32 | 2022 |
CTNN: A convolutional tensor-train neural network for multi-task brainprint recognition X Jin, J Tang, X Kong, Y Peng, J Cao, Q Zhao, W Kong IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 103-112, 2020 | 22 | 2020 |
A multi-stage dynamical fusion network for multimodal emotion recognition S Chen, J Tang, L Zhu, W Kong Cognitive Neurodynamics 17 (3), 671-680, 2023 | 19 | 2023 |
MMT: Multi-way Multi-modal Transformer for Multimodal Learning. J Tang, K Li, M Hou, X Jin, W Kong, Y Ding, Q Zhao IJCAI, 3458-3465, 2022 | 15 | 2022 |
Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals J Zhang, S Zhao, G Yang, J Tang, T Zhang, Y Peng, W Kong 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 4 | 2018 |
PSPN: Pseudo-Siamese Pyramid Network for multimodal emotion analysis Y Yin, W Kong, J Tang, J Li, F Babiloni Cognitive Neurodynamics, 1-14, 2024 | 1 | 2024 |
Disentangled Adversarial Generalization Network for cross-session Task-independent Brainprint Recognition X Jin, N Li, W Kong, Q Zhao, J Tang, L Zhu, J Cao IEEE Transactions on Cognitive and Developmental Systems, 2023 | 1 | 2023 |
Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis J Tang, M Hou, X Jin, J Zhang, Q Zhao, W Kong Systems 11 (1), 44, 2023 | 1 | 2023 |
Emotion Recognition Using Multi-core Tensor Learning and Multimodal Physiological Signal H Xu, J Tang, J Zhang, L Zhu International Workshop on Human Brain and Artificial Intelligence, 137-148, 2021 | 1 | 2021 |
Visual guided Dual-spatial Interaction Network for Fine-grained Brain Semantic Decoding J Tang, Y Yang, Q Zhao, Y Ding, J Zhang, Y Song, W Kong IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
Cross-session brainprint recognition method based on tensorized spatial-frequency attention network (tsfan) with domain adaptation K Wanzeng, X Jin, X Yang, L Zhu, T Jiajia US Patent App. 18/223,623, 2024 | | 2024 |
Fine-grained Dual-space Context Analysis Network for Multimodal Emotion Recognition J Li, J Tang, W Kong, Y Ying 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
TASK-INDEPENDENT BRAINPRINT RECOGNITION METHOD BASED ON FEATURE DISENTANGLEMENT BY DECORRELATION W Kong, X Jin, N LI, J Tang US Patent App. 18/474,529, 2024 | | 2024 |
TSFAN: Tensorized spatial-frequency attention network with domain adaptation for cross-session EEG-based biometric recognition X Jin, X Yang, W Kong, L Zhu, J Tang, Y Peng, Y Ding, Q Zhao Journal of Neural Engineering, 2024 | | 2024 |
Affective EEG-based cross-session person identification using hierarchical graph embedding H Liu, X Jin, D Liu, W Kong, J Tang, Y Peng Cognitive Neurodynamics, 1-12, 2024 | | 2024 |
Method for multimodal emotion classification based on modal space assimilation and contrastive learning K Wanzeng, Y Yang, T Jiajia, B Ni, DAI Weicheng, L Zhu US Patent App. 18/369,672, 2024 | | 2024 |