Zifeng Wang
 |
Zifeng Wang 王子丰 | How to pronounce? Contact
Email: zifengw2 [at] illinois (dot) edu201 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.
Education
Ph.D. Student, Computer Science, University of Illinois, Urbana-Champaign, 2021 - Present
Supervised by Prof. Jimeng Sun.
M.S., Data Science, Tsinghua University, 2018 - 2021
Supervised by Prof. Shao-Lun Huang & Prof. Khalid M. Mosalam.
Thesis: Information Bottleneck for Representation Learning: New Vision.
Award: Outstanding MS graduate (2/75) of Tsinghua University; National scholarship of graduate student (3/168).
B.S., Civil Engineering, Tongji University, 2014 - 2018
Supervised by Prof. Suzhen Li.
Award: Outstanding graduate student (4/40); Outstanding graduate thesis (3/168) of Tongji University; Merit student scholarship.
Experience
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
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
Service
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
Spring 2022, TA for CS598 Deep Learning for Healthcare in UIUC, given by Prof. Jimeng Sun.
Summer 2020, TA for Optimization Models and Applications in TBSI, given by Prof. Laurent El Ghaoui.
Spring 2020, TA for Bayesian Learning and Data Analysis in TBSI, given by Prof. Ercan E. Kuruoglu.
Fall 2019, TA for Learning from Data in TBSI, given by Prof. Yang Li.
Invited Talk
Nov, 2022, How to do transfer learning and zero-shot learning on the tabular domain? (CN), invited by AI Time
April, 2022, Understanding Deep Learning via Information in Weights, invited by AI Time.
March, 2022, PAC-Bayes Information Bottleneck, invited by ReadPaper.
