| Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis Y Shou, T Meng, W Ai, S Yang, K Li Neurocomputing 501, 629-639, 2022 | 107 | 2022 |
| Object detection in medical images based on hierarchical transformer and mask mechanism Y Shou, T Meng, W Ai, C Xie, H Liu, Y Wang Computational Intelligence and Neuroscience 2022 (1), 5863782, 2022 | 83 | 2022 |
| A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition T Meng, Y Shou, W Ai, J Du, H Liu, K Li Neurocomputing 569, 127109, 2024 | 46 | 2024 |
| Deep imbalanced learning for multimodal emotion recognition in conversations T Meng, Y Shou, W Ai, N Yin, K Li IEEE Transactions on Artificial Intelligence, 2024 | 41 | 2024 |
| A comprehensive survey on multi-modal conversational emotion recognition with deep learning Y Shou, T Meng, W Ai, N Yin, K Li arXiv preprint arXiv:2312.05735, 2023 | 34 | 2023 |
| Der-gcn: Dialog and event relation-aware graph convolutional neural network for multimodal dialog emotion recognition W Ai, Y Shou, T Meng, K Li IEEE Transactions on Neural Networks and Learning Systems, 2024 | 32 | 2024 |
| Graph information bottleneck for remote sensing segmentation Y Shou, W Ai, T Meng, N Yin arXiv preprint arXiv:2312.02545, 2023 | 28 | 2023 |
| Czl-ciae: Clip-driven zero-shot learning for correcting inverse age estimation Y Shou, W Ai, T Meng, K Li CoRR, 2023 | 27 | 2023 |
| Adversarial representation with intra-modal and inter-modal graph contrastive learning for multimodal emotion recognition Y Shou, T Meng, W Ai, N Yin, K Li arXiv preprint arXiv:2312.16778, 2023 | 26 | 2023 |
| Der-gcn: Dialogue and event relation-aware graph convolutional neural network for multimodal dialogue emotion recognition W Ai, Y Shou, T Meng, N Yin, K Li arXiv preprint arXiv:2312.10579, 2023 | 25 | 2023 |
| Revisiting multi-modal emotion learning with broad state space models and probability-guidance fusion Y Shou, T Meng, F Zhang, N Yin, K Li arXiv preprint arXiv:2404.17858, 2024 | 19 | 2024 |
| Revisiting multimodal emotion recognition in conversation from the perspective of graph spectrum T Meng, F Zhang, Y Shou, W Ai, N Yin, K Li arXiv preprint arXiv:2404.17862, 2024 | 19 | 2024 |
| A two-stage multimodal emotion recognition model based on graph contrastive learning W Ai, FC Zhang, T Meng, YT Shou, HE Shao, K Li 2023 IEEE 29th International Conference on Parallel and Distributed Systems …, 2023 | 19 | 2023 |
| Parallel community detection based on distance dynamics for large-scale network T He, L Cai, T Meng, L Chen, Z Deng, Z Cao IEEE Access 6, 42775-42789, 2018 | 19 | 2018 |
| MTAD: a multitarget heuristic algorithm for virtual machine placement L Chen, J Zhang, L Cai, R Li, T He, T Meng International Journal of Distributed Sensor Networks 11 (10), 679170, 2015 | 19 | 2015 |
| Graphunet: Graph make strong encoders for remote sensing segmentation YT Shou, W Ai, T Meng, FC Zhang, KQ Li 2023 IEEE 29th International Conference on Parallel and Distributed Systems …, 2023 | 18 | 2023 |
| Masked graph learning with recurrent alignment for multimodal emotion recognition in conversation T Meng, F Zhang, Y Shou, H Shao, W Ai, K Li IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 17 | 2024 |
| Efficient long-distance latent relation-aware graph neural network for multi-modal emotion recognition in conversations Y Shou, W Ai, J Du, T Meng, H Liu, N Yin arXiv preprint arXiv:2407.00119, 2024 | 15 | 2024 |
| Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations Y Shou, T Meng, W Ai, F Zhang, N Yin, K Li Information Fusion 112, 102590, 2024 | 14 | 2024 |
| Edge-enhanced minimum-margin graph attention network for short text classification W Ai, Y Wei, H Shao, Y Shou, T Meng, K Li Expert Systems with Applications 251, 124069, 2024 | 13 | 2024 |
Keqin Li (李克勤)SUNY Distinguished Professor, National Distinguished Professor, MAE, MEASA, AAAS Fellow, IEEE Fellow確認したメール アドレス: newpaltz.edu