Publication
2024
Demystifying Large Language Models for Medicine: A Primer [PDF]
Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang
+ More authors ...
Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu
Preprint.
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning [PDF]
Trisha Das, Zifeng Wang, Afrah Shafquat, Mandis Beigi, Jason Mezey, Jimeng Sun.
Preprint.
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges [PDF]
Zifeng Wang, Hanyin Wang, Benjamin Danek, Ying Li, Christina Mack, Luk Arbuckle, Devyani Biswal, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun.
Preprint.
Can Large Language Models Replace Data Scientists in Clinical Research? [PDF]
Zifeng Wang*, Benjamin Danek*, Ziwei Yang, Zheng Chen, Jimeng Sun.
Preprint.
Matching Patients to Clinical Trials with Large Language Models [PDF]
Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Fangyuan Chen, Changlin Gong, Dara Bracken-Clarke, Elisabetta Xue, Yifan Yang, Jimeng Sun, Zhiyong Lu.
Nature Communications, 2024
Accelerating Clinical Evidence Synthesis with Large Language Models [PDF]
Zifeng Wang, Lang Cao, Benjamin Danek, Yichi Zhang, Qiao Jin, Zhiyong Lu, Jimeng Sun.
Preprint.
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment [PDF]
Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun.
Preprint.
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models [PDF]
Yilin Wen*, Zifeng Wang*, Jimeng Sun
ACL'24
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models [PDF]
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han.
NAACL'24
PILOT: Legal Case Outcome Prediction with Case Law [PDF]
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun.
NAACL'24
TriSum: Learning Summarization Ability from Large Language Models [PDF]
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han.
NAACL'24
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graph [PDF]
Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai.
ICLR'24
2023
UniPredict: Large Language Models are Universal Tabular Predictors [PDF]
Ruiyu Wang*, Zifeng Wang*, Jimeng Sun
Preprint.
CITING: Large Language Models Create Curriculum for Instruction Tuning [PDF]
Tao Feng*, Zifeng Wang*, Jimeng Sun.
Preprint.
PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications [PDF]
Zifeng Wang, Brandon Theodoru, Tianfan Fu, Cao Xiao, Jimeng Sun.
Preprint.
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement [PDF]
Zifeng Wang*, Chufan Gao*, Cao Xiao, Jimeng Sun.
IJCAI'24
AutoTrial: Prompting Language Models for Clinical Trial Design [PDF]
Zifeng Wang, Cao Xiao, Jimeng Sun.
EMNLP'23
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning [PDF]
Zifeng Wang, Cao Xiao, Jimeng Sun.
ACM-BCB'23
TWIN: Personalized Clinical Trial Digital Twin Generation [PDF]
Trisha Das*, Zifeng Wang*, and Jimeng Sun.
KDD'23
2022
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PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning [PDF]
Zifeng Wang and Jimeng Sun.
EMNLP'22.
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MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts [PDF] [Video]
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, and Jimeng Sun.
EMNLP'22.
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Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision [PDF]
Zifeng Wang and Jimeng Sun.
Findings of EMNLP'22
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TransTab: Learning Transferable Tabular Transformers Across Tables [PDF] [Package] [Poster]
Zifeng Wang and Jimeng Sun.
NeurIPS'22
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Finding Influential Instances for Distantly Supervised Relation Extraction [PDF]
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, and Yefeng Zheng.
COLING'22. Oral.
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SurvTRACE: Transformer for Survival Analysis with Competing Events [PDF]
Zifeng Wang and Jimeng Sun.
ACM-BCB'22
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PAC-Bayes Information Bottleneck [PDF] [Slides] [Video(CN)]
Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, and Yefeng Zheng.
ICLR'22 . Spotlight (176/3391).
Artificial Intelligence for In Silico Clinical Trials: A Review [PDF]
Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun.
Preprint.
Before 2021
Lifelong Learning Disease Diagnosis on Clinical Notes [PDF] [Video]
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, and Yefeng Zheng.
PAKDD'21 . Best Student Paper Award (1/768).
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks [PDF] [Video] Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, and Yefeng Zheng.
WWW'21 .
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback [PDF] [Video]
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, and Yefeng Zheng.
NeurIPS'20 .
Less Is Better: Unweighted Data Subsampling via Influence Function [PDF]
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, and Shao-Lun Huang.
AAAI'20 .
Deep Semantic Segmentation for Visual Understanding on Construction Sites [PDF]
Zifeng Wang, Yuyang Zhang, Khalid M. Mosalam, Yuqing Gao, and Shao-Lun Huang.
Computer-Aided Civil and Infrastructure Engineering (CACAIE), 1-18 (2021).
Data-driven Risk Assessment on Urban Pipeline Network Based on a Cluster Model [PDF]
Zifeng Wang and Suzhen Li.
Reliability Engineering & System Safety, 196: 106781 (2019).
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