Jintai Chen

Jintai Chen

Assistant Professor at HKUST(GZ)/HKUST; Passionate about AI for Healthcare.

Hey, I’m Jintai Chen, a tenure-track assistant professor at HKUST (Guangzhou), also affiliated with the Clear Water Bay Campus.

Prior to that, I am a postdoctoral researcher at the University of Illinois at Urbana-Champaign, where I collaborated closely with Prof. Jimeng Sun. I obtained my Ph.D. from the College of Computer Science and Technology at Zhejiang University, under the supervision of Prof. Jian Wu. My research interests lie at the intersection of AI and healthcare, with a particular focus on developing generalizable foundation models and generative models to address real-world medical challenges, including clinical trial optimization, biomedical discovery, clinical predictive modeling, and health monitoring.

I am actively seeking highly motivated Ph.D. students, research assistants, and postdoctoral researchers with strong backgrounds in computer science, statistics, or other related subjects. Proficiency in coding is required.

For Ph.D. applications, please fill out the form.

For research assistant applications, please fill out the form.

For postdoc applications, please email me directly at jtchen147[AT]gmail[DOT]com.

For MPhil students, please contact me after passing the interview with the school’s Red Bird MPhil committee.

📄 Selected Publications

The full list can be accessed on Google Scholar. (*: Equal contribution; $\dagger$: Corresponding author(s))

AI for Medicine: Towards Multimodal and Individualized Diagnosis Support
AI for Biomedical Science: Towards Drug Design and Therapeutic Science
Machine Learning Foundations

🎖 Awards

  • 2023.04, Excellent Doctoral Graduates of Zhejiang Province, China (Top 1%)
  • 2023.04, Excellent Doctoral Graduates of Zhejiang University (Top 1%)
  • 2023.04, 产学研合作创新成果奖，浙江省产学研合作创新与促进奖
  • 2023.02, 医学影像智能处理关键技术创新与应用, 产学研合作创新成果二等奖, 中国产学研合作促进会
  • 2023.02, 科技进步二等奖，中国电子学会
  • 2022.10, Huawei Fundamental Research Scholarship (Top 3%)
  • 2021.10, Tencent Doctoral Scholarship (Top 1%)
  • 2021.10, National Scholarship of China (Top 1%)
  • 2020.10, Outstanding Doctoral Student Scholarship (Top 3%)
  • 2019.10, Doctoral Freshman Scholarship (Top 3%)
  • 2016.10, Chinese Bank Scholarship (Undergraduate) (Top 1%)
  • 2015.10, National Scholarship (Undergraduate) (Top 1%)

💬 Talks

  • 2025.04, Deep Tabular Learning, @Nanjing University
  • 2024.12, Advanced Guidelines and Principles for Academic Writing, @International Campus of SCUT
  • 2024.12, AI for Healthcare: New Perspectives and New Applications, @International Campus of SCUT
  • 2024.11, From Single-Modality to Multi-Modality Learning: Shaping the Future of Digital Medicine, @ Datathon Challenge, Beijing
  • 2022.11, How to Excel in AI-for-healthcare Researches, @ Shanghai University
  • 2022.10, ECG Signal Processing and Synthesis for Computer-Aided Heart Disease Diagnosis, @ Carnegie Mellon University
  • 2022.10, ECG Synthesis for New View and New Data, @ Shanghai AI Lab
  • 2022.09, Part-Hierarchy Learning, @ ByteDance
  • 2022.06, Supervised Tabular Learning, @ UberAI
  • 2021.10, Domain Mixup for Distant Transfer Learning, @ Shanghai Jiaotong University

🏫 Courses

  • AIAA1010 - Academic Orientation for Al Students (Spring 2025)
  • AIAA6011B - Frontier of “AI for Healthcare” (Spring 2025)
  • AIAA6101 - Artificial Intelligence Seminar (Spring 2025)
  • AIAA3111 - Introduction of Data Mining (Fall 2025)

🔎 Professional Services

  • Reviewer @ ML/AI/AI4H Conferences: NeurIPS, ICLR, ICML, KDD, AAAI, IJCAI, ACM MM, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, MICCAI, ISBI.
  • Area Chair/Senior Program Chair: IJCAI, NeurIPS;
  • Review for Journals: Nature Communications, TPAMI, JMLR, TNNLS, TCBB, JBHI, Frontiers in Public Health, JBSM, TCDS, Frontiers in Genetics
  • Guest Editor for Journals: JBHI, spj Health Data Science
  • Executive Board Member of the Digital Medicine Symposium within the China Computer Federation
  • Committee Member of the Computer Academy of Guangdong
  • Committee Member of the Guangdong Respiratory and Health Association
  • Workshop Organization: ICLR 2025 Workshop on AI for Children: Healthcare, Psychology, Education (AI4CHL) , Corresponding organizer, [website]
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