Published a series of papers on automatic ICD coding, balancing knowledge delivery and emotional comfort in healthcare conversational systems, and augmenting life scenarios using large generative models for robotic action reflection. Received the Best Paper Award at IWSDS 2024.
Research Experience
His research focuses on the application of NLP in the medical domain, particularly on solutions for automatic ICD coding. He has also developed large language models for healthcare to offer improved medical consultation and lifestyle assistance, aiming to better integrate LLMs into practical medical applications.
Education
Ph.D. in Computer Science and Artificial Intelligence, National Taiwan University (NTU), advised by Prof. Yun-Nung (Vivian) Chen; M.S. in Data Science, National Taiwan University (NTU); B.S. in Computer Science, National Taiwan University (NTU)
Background
Research interests include artificial intelligence, natural language processing, dialogue systems, and medical text understanding. During his doctoral career, he interned at various companies and Japanese research institutions, working on projects in medical NLP, multimodal large language models, and clinical dialogue systems, with many published papers focusing on healthcare applications.
Miscellany
Passed his Ph.D. oral defense and attended the graduation ceremony.