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2024


  • 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, 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


  • PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning [PDF]
    Zifeng Wang and Jimeng Sun.
    EMNLP'22.

  • MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts [PDF] [Video]
    Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, and Jimeng Sun.
    EMNLP'22.

  • Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision [PDF]
    Zifeng Wang and Jimeng Sun.
    Findings of EMNLP'22

  • TransTab: Learning Transferable Tabular Transformers Across Tables [PDF] [Package] [Poster]
    Zifeng Wang and Jimeng Sun.
    NeurIPS'22

  • 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.

  • SurvTRACE: Transformer for Survival Analysis with Competing Events [PDF]
    Zifeng Wang and Jimeng Sun.
    ACM-BCB'22

  • 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).