Shang-Chi (Sean) Tsai 🎓
Shang-Chi (Sean) Tsai

PhD in Computer Science and Artificial Intelligence

About Me

I am now a Ph.D. graduate in Computer Science from National Taiwan University (NTU), advised by Prof. Yun-Nung (Vivian) Chen. My research interests include artificial intelligence, natural language processing, dialogue systems, and medical text understanding. My doctoral career included research internships at various companies and Japanese research institutions, where I worked on projects in medical natural language processing, multimodal large language models, and clinical dialogue systems. I also have many published papers focusing on healthcare applications. Please see my CV and personal website for further information.

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Interests
  • Artificial Intelligence
  • Natural Language Processing
  • Medical Text Understanding
Education
  • Ph.D. Computer Science

    National Taiwan University (NTU)

  • M.S. Data Science

    National Taiwan University (NTU)

  • B.S. Computer Science

    National Taiwan University (NTU)

📚 My Research
My research focuses on the application of natural language processing in the medical domain. I have published a series of papers that explore solutions for the task of Automatic ICD Coding. These solutions enable models to efficiently comprehend the textual content of patient health records, thereby assisting physicians in rapidly predicting corresponding diagnoses and treatments. I’ve also developed large language models for healthcare to offer patients improved medical consultation and lifestyle assistance. This work aims to better integrate LLMs into practical medical applications. If you’re interested in my research, I welcome you to contact me for potential collaboration.
Featured Publications
Recent Publications
(2025). Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems. The 15th International Workshop on Spoken Dialogue Systems Technology (IWSDS 2025).
(2024). ASMR: Augmenting Life Scenario using Large Generative Models for Robotic Action Reflection. The 14th International Workshop on Spoken Dialogue Systems Technology (IWSDS 2024).
(2022). PLM-ICD: Automatic ICD Coding with Pretrained Language Models. Proceedings of the 4th Clinical Natural Language Processing Workshop (ClinicalNLP 2022).
(2021). Modeling Diagnostic Label Correlation for Automatic ICD Coding. 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021).
(2019). Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding. Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019).
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