Zifeng Wang

63 papers A* 12B 1Journal 42Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Compliance and factuality of large language models for clinical research document generation.
J. Am. Medical Informatics Assoc.
Zifeng Wang, Junyi Gao, Benjamin P. Danek, Brandon Theodorou, Ruba Shaik, Shivashankar Thati, Seunghyun Won, Jimeng Sun
2026 J jnl
DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research.
CoRR
Zifeng Wang, Zheng Chen, Ziwei Yang, Xuan Wang, Qiao Jin, Yifan Peng, Zhiyong Lu, Jimeng Sun
2025 J jnl
A foundation model for human-AI collaboration in medical literature mining.
CoRR
Zifeng Wang, Lang Cao, Qiao Jin, Joey Chan, Nicholas Wan, Behdad Afzali, Hyunjin Cho, Changin Choi, Mehdi Emamverdi, Manjot K. Gill, Sun-Hyung Kim, Yijia Li, Yi Liu, Hanley Ong, Justin F. Rousseau, Irfan Sheikh, Jenny J. Wei, Ziyang Xu, Christopher M. Zallek, Kyungsang Kim, Yifan Peng, Zhiyong Lu, Jimeng Sun
2025 J jnl
A perspective for adapting generalist AI to specialized medical AI applications and their challenges.
npj Digit. Medicine
Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Luk Arbuckle, Devyani Biswal, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Cao Xiao, Jimeng Sun
2025 J jnl
Accelerating clinical evidence synthesis with large language models.
npj Digit. Medicine
Zifeng Wang, Lang Cao, Benjamin P. Danek, Qiao Jin, Zhiyong Lu, Jimeng Sun
2025 J jnl
Adaptation of Agentic AI.
CoRR
Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han
2025 J jnl
BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research.
CoRR
Zifeng Wang, Benjamin P. Danek, Jimeng Sun
2025 J jnl
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.
CoRR
Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han
2025 J jnl
InformGen: An AI Copilot for Accurate and Compliant Clinical Research Consent Document Generation.
CoRR
Zifeng Wang, Junyi Gao, Benjamin P. Danek, Brandon Theodorou, Ruba Shaik, Shivashankar Thati, Seunghyun Won, Jimeng Sun
2025 J jnl
TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials.
CoRR
Zifeng Wang, Qiao Jin, Jiacheng Lin, Junyi Gao, Jathurshan Pradeepkumar, Pengcheng Jiang, Benjamin P. Danek, Zhiyong Lu, Jimeng Sun
2025 A* conf
s3: You Don't Need That Much Data to Train a Search Agent via RL.
EMNLP
Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han
2025 J jnl
s3: You Don't Need That Much Data to Train a Search Agent via RL.
CoRR
Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han
2024 J jnl
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges.
CoRR
Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun
2024 J jnl
Accelerating Clinical Evidence Synthesis with Large Language Models.
CoRR
Zifeng Wang, Lang Cao, Benjamin P. Danek, Yichi Zhang, Qiao Jin, Zhiyong Lu, Jimeng Sun
2024 A* conf
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs.
ICLR
Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai
2024 J jnl
Can Large Language Models Replace Data Scientists in Clinical Research?
CoRR
Zifeng Wang, Benjamin P. Danek, Ziwei Yang, Zheng Chen, Jimeng Sun
2024 J jnl
Demystifying Large Language Models for Medicine: A Primer.
CoRR
Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, 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
2024 — conf
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models.
NAACL-HLT
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han
2024 J jnl
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models.
CoRR
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han
2024 A* conf
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement.
IJCAI
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
2024 — conf
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.
ACL (1)
Yilin Wen, Zifeng Wang, Jimeng Sun
2024 — conf
PILOT: Legal Case Outcome Prediction with Case Law.
NAACL-HLT
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
2024 J jnl
PILOT: Legal Case Outcome Prediction with Case Law.
CoRR
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
2024 J jnl
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment.
CoRR
Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun
2024 J jnl
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning.
CoRR
Trisha Das, Zifeng Wang, Afrah Shafquat, Mandis Beigi, Jason G. Mezey, Jimeng Sun
2024 — conf
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
NAACL-HLT
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024 J jnl
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
CoRR
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
2023 J jnl
AnyPredict: Foundation Model for Tabular Prediction.
CoRR
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
2023 A* conf
AutoTrial: Prompting Language Models for Clinical Trial Design.
EMNLP
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
AutoTrial: Prompting Language Models for Clinical Trial Design.
CoRR
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
CITING: Large Language Models Create Curriculum for Instruction Tuning.
CoRR
Tao Feng, Zifeng Wang, Jimeng Sun
2023 J jnl
Matching Patients to Clinical Trials with Large Language Models.
CoRR
Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Jimeng Sun, Zhiyong Lu
2023 J jnl
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.
CoRR
Yilin Wen, Zifeng Wang, Jimeng Sun
2023 J jnl
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development.
CoRR
Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun
2023 — conf
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.
BCB
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.
CoRR
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 A* conf
TWIN: Personalized Clinical Trial Digital Twin Generation.
KDD
Trisha Das, Zifeng Wang, Jimeng Sun
2023 J jnl
UniPredict: Large Language Models are Universal Tabular Predictors.
CoRR
Ruiyu Wang, Zifeng Wang, Jimeng Sun
2022 J jnl
Artificial Intelligence for In Silico Clinical Trials: A Review.
CoRR
Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun
2022 J jnl
Deep semantic segmentation for visual understanding on construction sites.
Comput. Aided Civ. Infrastructure Eng.
Zifeng Wang, Yuyang Zhang, Khalid M. Mosalam, Yuqing Gao, Shao-Lun Huang
2022 B conf
Finding Influential Instances for Distantly Supervised Relation Extraction.
COLING
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
2022 A* conf
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.
EMNLP
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun
2022 J jnl
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.
CoRR
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun
2022 A* conf
PAC-Bayes Information Bottleneck.
ICLR
Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
2022 A* conf
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.
EMNLP
Zifeng Wang, Jimeng Sun
2022 J jnl
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.
CoRR
Zifeng Wang, Jimeng Sun
2022 — conf
SurvTRACE: transformers for survival analysis with competing events.
BCB
Zifeng Wang, Jimeng Sun
2022 A* conf
TransTab: Learning Transferable Tabular Transformers Across Tables.
NeurIPS
Zifeng Wang, Jimeng Sun
2022 J jnl
TransTab: Learning Transferable Tabular Transformers Across Tables.
CoRR
Zifeng Wang, Jimeng Sun
2022 — conf
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision.
EMNLP (Findings)
Zifeng Wang, Jimeng Sun
2022 J jnl
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision.
CoRR
Zifeng Wang, Jimeng Sun
2021 — conf
Lifelong Learning Based Disease Diagnosis on Clinical Notes.
PAKDD (1)
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
2021 J jnl
Lifelong Learning based Disease Diagnosis on Clinical Notes.
CoRR
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
2021 A* conf
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
WWW
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
2021 J jnl
PAC-Bayes Information Bottleneck.
CoRR
Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
2021 J jnl
SurvTRACE: Transformers for Survival Analysis with Competing Events.
CoRR
Zifeng Wang, Jimeng Sun
2020 J jnl
Data-driven risk assessment on urban pipeline network based on a cluster model.
Reliab. Eng. Syst. Saf.
Zifeng Wang, Suzhen Li
2020 J jnl
Finding Influential Instances for Distantly Supervised Relation Extraction.
CoRR
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
2020 A* conf
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.
NeurIPS
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
2020 J jnl
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.
CoRR
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
2020 A* conf
Less Is Better: Unweighted Data Subsampling via Influence Function.
AAAI
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2020 J jnl
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
CoRR
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
2019 J jnl
Less Is Better: Unweighted Data Subsampling via Influence Function.
CoRR
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang