Guimin Hu

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Contact Me 🔎 - rice.hu.x@gmail.com, guhu@di.ku.dk

Coastal NLP Group

University of Copenhagen, Denmark

I am currently Postdoctoral Researcher at University of Copenhagen, working with Prof. Hasti Seifi and Dr. Daniel Hershcovich. Previously, I obtained my PhD from the Harbin Institute of Technology, Shenzhen, supervised by Prof. Guangming Lu and Prof. Yi Zhao. Before joining HITsz, I obtained my MSc in Northeastern University under supervision of Prof. Shukuan Lin.

After completing my master’s degree and before pursuing my PhD, I worked as a search algorithm engineer at Xiaomi Cloud Platform for about a year and a half. During my PhD, I interned at DAMO Academy for more than six months.

My research interests lie at the multimodal learning, affective computing, machine learning, haptic caption. Now, I am working on haptic captioning, multimodal learning and LLMs. Apart from research, I enjoy painting, shopping, and watching BiliBili.

If your project requires any involvement or any assistance from me, feel free to reach out!

News

Aug 19, 2025 Two papers are accepted by EMNLP conference (1 main, 1 findings)!
Jul 1, 2025 Our paper PgM: Partitioner Guided Modal Learning Framework has been accepted to ACMMM2025!!
Apr 3, 2025 I am about to start my visit to ASU in Phoenix, which will last for one and a half months. Looking forward to it!
Dec 21, 2024 Our paper “Improving Representation with Intra- and Inter-clause Commonsense Injection for Emotion-Cause Pair Extraction” has been accepted to TASLP journal!
Oct 10, 2024 Our paper “Explicitly Guided Difficulty-Controllable Visual Question Generation” has been accepted to AAAI 2025!

Selected Publications

  1. EMNLP
    UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
    Guimin Hu, Ting-En Lin, Yi Zhao, Guangming Lu, Yuchuan Wu, and Yongbin Li
    In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing 2022
    URL Code
  2. TASLP
    Emotion prediction oriented method with multiple supervisions for emotion-cause pair extraction
    Guimin Hu, Yi Zhao, and Guangming Lu
    IEEE/ACM Transactions on Audio, Speech, and Language Processing 2023
    URL Code
  3. TAFFC
    Improving Representation With Hierarchical Contrastive Learning for Emotion-Cause Pair Extraction
    Guimin Hu, Yi Zhao, and Guangming Lu
    IEEE Transactions on Affective Computing 2024
    URL
  4. arXiv
    Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective
    Guimin Hu, Yi Xin, Weimin Lyu, Haojian Huang, Chang Sun, Zhihong Zhu, and 2 more authors
    In arXiv preprint arXiv:2409.07388 2024
    URL Code
  5. MM
    PgM: Partitioner Guided Modal Learning Framework
    Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, and Hasti Seifi
    In ACM International Conference on Multimedia 2025
    URL
  6. EMNLP Findings
    HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals
    Guimin Hu, Daniel Hershcovich, and Hasti Seifi
    In Findings of the Association for Computational Linguistics: EMNLP 2025
    URL
  7. arXiv
    HapticLLaMA: A Multimodal Sensory Language Model for Haptic Captioning
    Guimin Hu, Daniel Hershcovich, and Hasti Seifi
    In arXiv preprint arXiv:2508.06475 2025
    URL