Zifeng Wang
Research Interests
I'm a member of Sunlab on AI for healthcare, led by Prof. Jimeng Sun. My research interests include machine learning and its application in healthcare and drug development, especially in the following areas:
Prediction. Patient/trial outcome prediction with tabular/sequence/vision-language models.
Generation. Synthetic tabular/sequential EHR/EDC data generation and digital twin simulation.
Optimization. Improve clinical trial design via retrieval & generation, based on large language models (LLMs).
Explanation. Provide trustworthy explanations to support decision-making in clinical trial design.
Education
Experience
Activity & Award
Service
PC Member/Reviewer for NeurIPS'[22,23], EMNLP'[22,23], IJCAI'[22,23], AAAI'[22,24], ICLR'24, ACL'23, KDD'23, ICIP'21, ICASSP'21.
Reviewer for TPAMI, Bioinformatics.
Teaching Experience
Invited Talk
Oct, 2023, Bridging Biomedical Foundation Models, invited by AI4Science@ByteDance.
Oct, 2023, Automate clinical trial design with large language models, invited by Medidata.
Aug, 2023, Medical Vision-Language Modeling, invited by CS department at University of Toronto.
July, 2023, Medical Vision-Language Modeling, invited by Stanford MedAI Group.
July, 2023, Unifying Large Language Models and Knowledge Graphs, invited by Amazon Titan Lab.
Apr, 2023, Medical Vision-Language Modeling from Unpaired Images and Texts, invited by National Center for Biotechnology Information (NCBI-NLM-NIH).
Feb, 2023, Advances in Transfer Learning for Tabular Prediction (CN), invited by AI Time.
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.
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