UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition G Hu, TE Lin, Y Zhao, G Lu, Y Wu, Y Li Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 69 | 2022 |
FSS-GCN: A Graph Convolutional Networks with Fusion of Semantic and Structure for Emotion Cause Analysis G Hu, G Lu, Y Zhao Knowledge-Based Systems 212, 106584, 2021 | 51 | 2021 |
Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction G Hu, G Lu, Y Zhao Findings of the Association for Computational Linguistics: EMNLP 2021, 558-568, 2021 | 19 | 2021 |
Emotion-cause Joint Detection: A Unified Network with Dual Interaction for Emotion Cause Analysis G Hu, G Lu, Y Zhao Natural Language Processing and Chinese Computing: 9th CCF International …, 2020 | 9 | 2020 |
An Exploration of Mutual Information based on Emotion–cause Pair Extraction G Hu, Y Zhao, G Lu, F Yin, J Chen Knowledge-Based Systems 256, 109822, 2022 | 7 | 2022 |
Emotion prediction oriented method with multiple supervisions for emotion-cause pair extraction G Hu, Y Zhao, G Lu IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 1141-1152, 2023 | 4 | 2023 |
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause G Hu, Z Zhu, D Hershcovich, H Seifi, J Xie arXiv preprint arXiv:2404.00403, 2024 | 1 | 2024 |
Modeling Data-driven Adaptive Distributionally Robust Equilibrium Last Mile Relief Network Under Centrality Metric F Yin, Y Zhao, D Wang, G Hu Applied Mathematical Modelling, 2023 | 1 | 2023 |
Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling Z Zhu, X Cheng, G Hu, Y Li, Z Huang, Y Zou Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
Improving Representation With Hierarchical Contrastive Learning for Emotion-Cause Pair Extraction G Hu, Y Zhao, G Lu IEEE Transactions on Affective Computing, 2024 | | 2024 |
Unifying Emotion-Oriented and Cause-Oriented Predictions for Emotion-Cause Pair Extraction G Hu, Y Zhao, G Lu Available at SSRN 4706104, 0 | | |