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] Contact Email: zifengw2 [at] illinois (dot) edu

News

• [Nov 2024] Our paper TrialGPT for patient-trial matching has been accepted by Nature Communications! Featured as Editors' Highlights.
• [Nov 2024] Our perspective paper on adapting generalist AI to medicine has been released!
• [Nov 2024] Our paper on LLMs for clinical data science code generation has been released!
• [June 2024] Two our research papers on clinical trial foundation model and LLM pipeline for clinical evidence synthesis have been released!
• [Mar 2024] Our research on AI for clinical trials is reported by Nature: How AI is being used to accelerate clinical trials.
• [Feb 2024] Our research in patient-trial matching is reported by AUANews: Connecting Patients to Clinical Trials With Artificial Intelligence.

Recent Talks

• Mar, 2025, "Medical scientific discovery in the era of large language models", in HIT Webinar.

• Mar, 2025, "Medical scientific discovery in the era of large language models", in Zuozhu's Lab@Zhejiang University.

• Mar, 2025, "Large language models for clinical trial design, execution, and analysis", in AI for Health Webinar.

• Jan, 2025, "Large language models for clinical trial participant recruitment", in IT Roundtable of Clinical Research Forum.

• Mar, 2024, Bridging Biomedical Foundation Models, invited by Xuegong Lab@Tsinghua University.

• 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 Prof. Lee@UToronto.

• 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.

• [Show more]

Honors & Awards

• [2024] Research featured in Nature: How AI is being used to accelerate clinical trials
• [2024] Research featured by NIH: AI algorithm matches potential volunteers to clinical trials
• [2023] Yee Memorial Fellowship, University of Illinois Urbana-Champaign
• [2022] NeurIPS Scholar Award, Neural Information Processing Systems Conference
• [2022] Yunni & Maxine Pao Memorial Fellowship, University of Illinois Urbana-Champaign
• [2021] Best Student Paper Award, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)