I am an Incoming Assistant Professor (🌐 Website) in the Department of Computer Science at National Yang Ming Chiao Tung University (NYCU) (former National Chiao-Tung University), starting in Feb. 2026.
I received my PhD degree in Computer Science and Information Engineering from National Cheng Kung University (NCKU) in 2025, advised by Prof. Kun-Ta Chuang in the NetDB Lab.
📢 [Recruiting] I am actively seeking motivated undergraduate / Master / Ph.D. students to join our lab. If you are passionate in learning the skills of Data Mining / AI / Data Science / Reinforcement Learning, or interested in Healthcare, Time Series Analysis, LLM Reasoning, Social Network, Recommender Systems and Smart City, please feel free to email me about the possibility to join us.
NOTICE If you are applying for a Master’s degree, please apply to the Institute of Computer Science and Engineering (資訊工程所甲組) or Data Science and Engieering (數據科學與工程研究所) programs. After you receive an offer of admission, please feel free to reach out!
Research Interests
My research focuses on Data Mining, Reinforcement Learning, Knowledge Graph Embedding/Reasoning, Artificial Intelligence in Healthcare, and Time Series Analysis. I have collaborated with organizations across healthcare, smart energy, integrated circuits, education, etc. More details can be found in my CV.
📢 News
- 📌 Award Dec. 2025: 🏆 Our paper “CAND: Cross-Sign Ambiguity Inference for Early Detecting Nuanced Illness Deterioration” [OpenReview] [ArXiv] is selected as the Spotlight Paper and has also received the Best Paper Award at the Workshop on Learning from Time Series for Health (TS4H) of NeurIPS 2025 🎉 !
- Conference Dec. 2025: 👋 Attending and presenting (workshops) at NeurIPS 2025 at San Diego, US!
- Accepted Oct. 2025: 🎉 One paper is accepted to IEEE BigData 2025!
- Accepted Oct. 2025: 🎉 Two papers are accepted to workshops of NeurIPS 2025 (GenAI4Health, TS4H) (One Spotlight)!
- Conference Aug. 2025: 👋 Attending and presenting at IJCAI 2025 at Montreal, Canada!
- Preprint Aug. 2025: Our paper “Leaps Beyond the Seen: Reinforced Reasoning Augmented Generation for Clinical Notes” is now on ArXiv!
- 💮Gradudate💮 Jun. 2025: 🎓👩🏻🎓🎉 Congrats to myself for successfully defending my PhD thesis 🥳 !
- Accepted May 2025: 🎉 One paper is accepted to JDSA 2025!
- Accepted Apr. 2025: 🎉 Two papers are accepted to IJCAI 2025!
- Accepted Feb. 2025: 🎉 One paper is accepted to PAKDD 2025!
- Conference Dec. 2024: 👋 Attending and presenting at IEEE BigData 2024 at Washington D.C., US!
- Accepted Jul. 2024: 🎉 One paper is accepted to ACM TIST 2024!
- Accepted Jun. 2024: 🎉 One paper is accepted to ACM TIST 2024!
Education
Experience
- Arizona State University, Aug. 2023 - Jan. 2025
- Visiting Scholar
- Worked with Dr. Huan Liu’s DMML lab and research on clinical care, including
- Early detection of illness deterioration.
- Reasoning granularity control in LLMs for clinical note generation.
- Information Technology Curriculum and Instruction Center, Sep. 2020 - Feb. 2022
- Lecturer
- Gave several lessons on big data analysis, database, and data mining for high school teachers.
- Tohoku University, Oct. 2019 - Jul. 2020
- Exchange Student
- Worked in Dr. Nei Kato’s laboratory and research on the telecommunications network.