A multitask learning framework for multimodal sentiment analysis D Jiang, R Wei, H Liu, J Wen, G Tu, L Zheng, E Cambria 2021 International conference on data mining workshops (ICDMW), 151-157, 2021 | 18 | 2021 |
CSAT-FTCN: a fuzzy-oriented model with contextual self-attention network for multimodal emotion recognition D Jiang, H Liu, R Wei, G Tu Cognitive Computation 15 (3), 1082-1091, 2023 | 15 | 2023 |
AutoML-Emo: Automatic knowledge selection using congruent effect for emotion identification in conversations D Jiang, R Wei, J Wen, G Tu, E Cambria IEEE Transactions on Affective Computing 14 (3), 1845-1856, 2022 | 13 | 2022 |
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection H Liu, R Wei, G Tu, J Lin, C Liu, D Jiang Information Fusion 108, 102353, 2024 | 7 | 2024 |
Window transformer for dialogue document: a joint framework for causal emotion entailment D Jiang, H Liu, G Tu, R Wei International Journal of Machine Learning and Cybernetics 14 (8), 2697-2707, 2023 | 5 | 2023 |
Self-supervised utterance order prediction for emotion recognition in conversations D Jiang, H Liu, G Tu, R Wei, E Cambria Neurocomputing 577, 127370, 2024 | 4 | 2024 |
Repulsion and attraction in searching: A hybrid algorithm based on gravitational kernel and vital few for cancer driver gene prediction Z He, Y Lin, R Wei, C Liu, D Jiang Computers in Biology and Medicine 151, 106236, 2022 | 2 | 2022 |
GASN: gamma distribution test for driver genes identification based on similarity networks D Jiang, R Wei, Z He, S Lin, C Liu, Y Lin Connection Science 35 (1), 2167937, 2023 | 1 | 2023 |
Emotional Lateralization-inspired Spatiotemporal Neural Networks for EEG-based Emotion Recognition D Huang, D Jiang, R Wei, L Kang, L Chen, E Cambria | | |