Mingsheng Cai

Mingsheng Cai

/ˈmɪŋ-ʃɛŋ tsaɪ/

I am currently a PhD student at The University of Edinburgh supervised by Dr. Adriana Sejfia and Dr. Amir Shaikhha.

I received my Master’s degree from Imperial College London, where I was supervised by Dr. Che Liu and Dr. Rossella Arcucci. Prior to that, I obtained my Bachelor’s degree from Beihang University, under the supervision of Dr. Yuan Yuan.

🔥 News

  • 🎉 Jun 2025: One paper was accepted to the FMSD Workshop at ICML’25.
  • 📰 Nov 2024: I started my Doctor’s degree in Informatics at The University of Edinburgh supervised by Dr. Adriana Sejfia and Dr. Amir Shaikhha.
  • 🎉 Sep 2024: I graduated with Distinction from Imperial College London.
  • 📰 May 2024: Glad to start my capstone project in Imperial Data Science Institute supervised by Dr. Che Liu and Dr. Rossella Arcucci.
  • 📰 Sep 2023: I started my Master’s degree in Computational Science and Engineering at Imperial College London.
  • 🎉 Jun 2023: I graduated from Beihang University as one of the Distinguished Graduates.

📝 Publications

Under Review
sym

SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning

Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci

Code | Dataset | Model

  • Automated annotation of MIMIC-IV-ECG dataset with LLMs and medical DBs.

  • Entity-level alignment of ECG signals via pre-training the SuPreME framework.

  • SOTA zero-shot performance with high data efficiency across six downstream datasets, i.e. PTB-XL (Super-class, Sub-class, Form, Rhythm), CPSC-2018, CSN.

FMSD@ICML'25
sym

Towards Generalizable Multimodal ECG Representation Learning with LLM-extracted Clinical Entities

Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci

  • LLM-extracted clinical entities enable structured ECG supervision.

  • Outperformed existing self-supervised methods with significantly improved data efficiency.

  • Enabled scalable ECG representation learning without extensive expert annotations.

🎖 Honors and Awards

  • Jun 2023, Distinguished Graduate, Beihang University.
  • Oct 2022, Future Star Scholarship, Ministry of Education of the People’s Republic of China.
  • Oct 2022, Huawei Scholarship.
  • Aug 2022, Third Prize, The 8th China International “Internet+” College Students’ Innovation and Entrepreneurship Competition.

📖 Educations

🧑‍🏫 Teaching and Service

  • Feb 2022 - Jun 2022, Teaching Assistant, B1B061060 - Discrete Mathematics, Beihang University, Beijing, China.

💻 Employment

🍸 Miscellaneous