| Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models G Tu, J Wen, H Liu, S Chen, L Zheng, D Jiang Knowledge-Based Systems 235, 107598, 2022 | 34 | 2022 |
| 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 | 15 | 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 | 12 | 2023 |
| 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 | 3 | 2024 |
| Multi-modal sarcasm detection with sentiment word embedding H Fu, H Liu, H Wang, L Xu, J Lin, D Jiang Electronics 13 (5), 855, 2024 | 3 | 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 | 3 | 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 | 2 | 2024 |
| A multi-view interactive approach for multimodal sarcasm detection in social internet of things with knowledge enhancement H Liu, B Yang, Z Yu Applied Sciences 14 (5), 2146, 2024 | 2 | 2024 |
| An Evolutionary Adaptive System for Prediction of Strategy Influence: A Case Study of Government Regulation Guided Brand Innovation J Lin, Q Li, G Lin, Z He, D Jiang, H Liu Complex System Modeling and Simulation 2 (3), 197-212, 2022 | 1 | 2022 |
