Publications
2025
- TASLPImproving Representation with Intra-and Inter-clause Commonsense Injection for Emotion-Cause Pair ExtractionIn IEEE Transactions on Audio, Speech and Language Processing 2025
- MMPgM: Partitioner Guided Modal Learning FrameworkIn ACM International Conference on Multimedia 2025
- EMNLP FindingsHapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic SignalsIn Findings of the Association for Computational Linguistics: EMNLP 2025
- arXivHapticLLaMA: A Multimodal Sensory Language Model for Haptic CaptioningIn arXiv preprint arXiv:2508.06475 2025
- AAAIExplicitly Guided Difficulty-Controllable Visual Question GenerationIn Proceedings of the AAAI Conference on Artificial Intelligence 2025
2024
- NNUnifying emotion-oriented and cause-oriented predictions for emotion-cause pair extractionNeural Networks 2024
- TAFFCImproving Representation With Hierarchical Contrastive Learning for Emotion-Cause Pair ExtractionIEEE Transactions on Affective Computing 2024
- COLINGTowards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal DistillingIn Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) 2024
- IJCAITFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual DebiasingIn Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 2024
- ACIIGrounding Emotional Descriptions to Electrovibration Haptic SignalsIn arXiv preprint arXiv:2411.02118 2024
- arXivRetrieving Implicit and Explicit Emotional Events Using Large Language ModelsIn arXiv preprint arXiv:2410.19128 2024
2023
- AMMModeling data-driven adaptive distributionally robust equilibrium last mile relief network under centrality metricApplied Mathematical Modelling 2023
2022
- KBSAn exploration of mutual information based on emotion–cause pair extractionKnowledge-Based Systems 2022
2021
- EMNLP FindingsBidirectional hierarchical attention networks based on document-level context for emotion cause extractionIn Findings of the Association for Computational Linguistics: EMNLP 2021 2021
2020
- NLPCCEmotion-cause joint detection: A unified network with dual interaction for emotion cause analysisIn Natural Language Processing and Chinese Computing: 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part I 9 2020