Guimin Hu
Postdoctoral
School of Computer Science
University of Copenhagen
Copenhagen, Denmark

I am currently Postdoctoral at University of Copenhagen.

My research interests lie at the intersection of natural language processing, machine learning, haptic interaction.

Now, I research in sentiment analysis with text, audio, video and haptic signals.

[E-mail] [Google Scholar] [Github] [Zhihu]


News

  • [2024-4-13] One paper accepted to TAC(TAFFC). 🎉🎉🎉
  • [2024-2-27] One paper accepted to COLING2024. 🎉🎉🎉
  • [2023-2-23] One paper is accepted to TASLP. 🎉🎉🎉
  • [2022-10] One paper got accepted to EMNLP 2022. 🎉🎉🎉
  • [2022-8] One paper got accepted to KBS journal.
  • [2021-8] One paper accepted to Findings to EMNLP 2021.
  • [2020-10] One paper got accepted to KBS journal.
  • [2020-7] One paper is accepted to NLPCC 2020.

    • Publications

  • Hu G, Y Zhao, G Lu. Improving Representation with Hierarchical Contrastive Learning for Emotion-cause Pair Extraction[J],IEEE Transactions on Affective Computing.
  • Hu G, Y Zhao, G Lu. Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction[J],Transactions on Audio, Speech and Language Processing. [paper]
  • Hu G, TE Lin, Y Zhao, G Lu, Y Wu, Y Li. UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition[C], EMNLP 2022. [paper]
  • Hu G, Y Zhao, G Lu, F Yin, J Chen. An exploration of mutual information based on emotion–cause pair extraction[J], Knowledge-Based Systems 256, 109822. [paper]
  • Hu G, Y Zhao, G Lu. Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction[C],Findings of the Association for Computational Linguistics: EMNLP 2021, 558-568. [paper]
  • Hu G, Y Zhao, G Lu. FSS-GCN: A graph convolutional networks with fusion of semantic and structure for emotion cause analysis[J]. Knowledge-Based Systems 212, 106584. [paper]
  • Hu G, G Lu, Y Zhao. Emotion-cause joint detection: A unified network with dual interaction for emotion cause analysis[C]. CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Cham, 2020: 568-579.[paper]

    • Educations

    Academic Works

    • Journal Reviewer: Applied Intelligence, IEEE-ACM Transactions on Audio Speech and Language Processing
    • Conference Reviewer: EMNLP2022, ARR2023, MM2024

    Experience

    • 01.2022-07.2022, Research Intern, Damo Acadimic, Alibaba.
    • 01.2018-04.2019, Search Algorithm Engineer, Cloud, XiaoMi.

    Skills

    • Open-source Framework: Pytorch 🌟🌟🌟, Tensorflow 🌟🌟
    • Tools: Spark 🌟🌟
    • Programing Language: Python 🌟🌟🌟, C++ 🌟🌟, Scala 🌟🌟, Java 🌟🌟