Zifeng Wang


Zifeng Wang 王子丰 | How to pronounce?
Ph.D. Student
Department of Computer Science
University of Illinois Urbana-Champaign
[Curriculum Vitae] [Google Scholar] [Github]


Email: zifengw2 [at] illinois (dot) edu

201 North Goodwin Avenue MC 258 Urbana, IL 61801-2302

Research Interests

I'm a member of Sunlab on AI for healthcare, led by Prof. Jimeng Sun. I am working on AI for clinical trials & healthcare, including several topics like:
  • Prediction. Flexible individual/trial outcome prediction with tabular/sequence model.

  • Generation. Synthetic EHR/EDC generation to boost AI for health/trial.

  • Optimization. In silico optimization of clinical trial protocols through retrieval, prediction, & generation.

  • Explanation. Provide trustworthy explanations to support decision-making in clinical trial design.



  • Research Intern, Amplitude, May-Aug. 2022.

    • Topic: Multi-treatment Causal Inference.

    • Mentor: Cao Xiao.

  • Research Intern, Tencent Jarvis Lab, Dec. 2019-Jun. 2021.

    • Topics: Graph DL for Clinical Diagnosis; Lifelong Learning Diagnostic AI; Information-theoretic DL.

    • Mentor: Yefeng Zheng.

Activity & Award

  • NeurIPS 2022 Scholar Award ($2000), 2022

  • Yunni & Maxine Pao Memorial Fellowship ($5000), 2022

  • Best student paper award of PAKDD'21, 2021

  • Best student research runner-up of Guangdong-HK-Macau Bay Area PhD Student Symposium, 2021

  • Best student research runner-up of TBSI Workshop On Learning Theory, 2021

  • Best Student research runner-up of 2019 TBSI Workshop On Data Science, 2019

  • Meritorious winner (1st class prize, top 7%) in USA Mathematical Contest in Modeling, 2017


  • PC Member/Reviewer for ACL'23, KDD'23, IJCAI'23, NeurIPS'22, EMNLP'22, AAAI'22, IJCAI'22, ICIP'21, ICASSP'21.

  • Reviewer for TPAMI.

Teaching Experience

Invited Talk