Guimin Hu

Orcid: 0000-0001-8364-3076

According to our database1, Guimin Hu authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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5
10
7
1
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4
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Improving Representation With Hierarchical Contrastive Learning for Emotion-Cause Pair Extraction.
IEEE Trans. Affect. Comput., 2024

Unifying emotion-oriented and cause-oriented predictions for emotion-cause pair extraction.
Neural Networks, 2024

Grounding Emotional Descriptions to Electrovibration Haptic Signals.
CoRR, 2024

Retrieving Implicit and Explicit Emotional Events Using Large Language Models.
CoRR, 2024

Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective.
CoRR, 2024

FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture.
CoRR, 2024

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause.
CoRR, 2024

TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Emotion Prediction Oriented Method With Multiple Supervisions for Emotion-Cause Pair Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022
An exploration of mutual information based on emotion-cause pair extraction.
Knowl. Based Syst., 2022

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
FSS-GCN: A graph convolutional networks with fusion of semantic and structure for emotion cause analysis.
Knowl. Based Syst., 2021

Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Emotion-Cause Joint Detection: A Unified Network with Dual Interaction for Emotion Cause Analysis.
Proceedings of the Natural Language Processing and Chinese Computing, 2020


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