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 | 160 | 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 | 57 | 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 | 24 | 2021 |
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 | 12 | 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 | 10 | 2023 |
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 |
Prompt-saw: Leveraging relation-aware graphs for textual prompt compression MA Ali, Z Li, S Yang, K Cheng, Y Cao, T Huang, G Hu, W Lyu, L Hu, L Yu, ... arXiv preprint arXiv:2404.00489, 2024 | 8 | 2024 |
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing Z Zhu, X Zhuang, Y Zhang, D Xu, G Hu, X Wu, Y Zheng Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 6 | 2024 |
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture W Li, X Zhang, J Li, Q Peng, R Tang, L Zhou, W Zhang, G Hu, Y Yuan, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 6 | 2024 |
Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective G Hu, Y Xin, W Lyu, H Huang, C Sun, Z Zhu, L Gui, ... arXiv preprint arXiv:2409.07388, 2024 | 4 | 2024 |
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 | 4 | 2024 |
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause G Hu, Z Zhu, D Hershcovich, H Seifi, J Xie Findings of the Association for Computational Linguistics: EMNLP 2024, 2024 | 4 | 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 | 3 | 2023 |
Unifying emotion-oriented and cause-oriented predictions for emotion-cause pair extraction G Hu, Y Zhao, G Lu Neural Networks, 106431, 2024 | 2 | 2024 |
Improving Representation With Hierarchical Contrastive Learning for Emotion-Cause Pair Extraction G Hu, Y Zhao, G Lu IEEE Transactions on Affective Computing, 2024 | 2 | 2024 |
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark Y Xin, S Luo, X Liu, Y Du, H Zhou, X Cheng, CL Lee, J Du, H Wang, ... The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | 2 | 2024 |
Improving Representation with Intra-and Inter-clause Commonsense Injection for Emotion-Cause Pair Extraction G Hu, J Xie IEEE Transactions on Audio, Speech and Language Processing, 2025 | | 2025 |
Grounding Emotional Descriptions to Electrovibration Haptic Signals G Hu, Z Zhao, L Heilmann, Y Vardar, H Seifi ACII, 2024 | | 2024 |
Retrieving Implicit and Explicit Emotional Events Using Large Language Models SH Guimin Hu arXiv preprint arXiv:2410.19128, 2024 | | 2024 |