Less Is Better: Unweighted Data Subsampling via Influence Function. - Zifeng Wang 008; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Shao-Lun Huang (AAAI, 2020)

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. - Zifeng Wang 008; Xi Chen 003; Rui Wen 001; Shao-Lun Huang; Ercan E. Kuruoglu; Yefeng Zheng 001 (NeurIPS, 2020)

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shilei Cao 001; Shao-Lun Huang; Buyue Qian; Yefeng Zheng 001 (CoRR, 2020)

Data-driven risk assessment on urban pipeline network based on a cluster model. - Zifeng Wang 008; Suzhen Li (Reliab. Eng. Syst. Saf., 2020)

Lifelong Learning Based Disease Diagnosis on Clinical Notes. - Zifeng Wang 008; Yifan Yang 006; Rui Wen 001; Xi Chen 003; Shao-Lun Huang; Yefeng Zheng 001 (PAKDD (1), 2021)

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shilei Cao 001; Shao-Lun Huang; Buyue Qian; Yefeng Zheng 001 (WWW, 2021)

SurvTRACE: transformers for survival analysis with competing events. - Zifeng Wang 008; Jimeng Sun 001 (BCB, 2022)

Finding Influential Instances for Distantly Supervised Relation Extraction. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shao-Lun Huang; Ningyu Zhang 001; Yefeng Zheng 001 (COLING, 2022)

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. - Zifeng Wang 008; Zhenbang Wu; Dinesh Agarwal; Jimeng Sun 001 (EMNLP, 2022)

PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. - Zifeng Wang 008; Jimeng Sun 001 (EMNLP, 2022)

Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. - Zifeng Wang 008; Jimeng Sun 001 (EMNLP (Findings), 2022)

PAC-Bayes Information Bottleneck. - Zifeng Wang 008; Shao-Lun Huang; Ercan Engin Kuruoglu; Jimeng Sun 001; Xi Chen 003; Yefeng Zheng 001 (ICLR, 2022)

TransTab: Learning Transferable Tabular Transformers Across Tables. - Zifeng Wang 008; Jimeng Sun 001 (NeurIPS, 2022)

Deep semantic segmentation for visual understanding on construction sites. - Zifeng Wang 008; Yuyang Zhang; Khalid M. Mosalam; Yuqing Gao; Shao-Lun Huang (Comput. Aided Civ. Infrastructure Eng., 2022)

Artificial Intelligence for In Silico Clinical Trials: A Review. - Zifeng Wang 008; Chufan Gao; Lucas M. Glass; Jimeng Sun 001 (CoRR, 2022)

SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. - Zifeng Wang 008; Cao Xiao; Jimeng Sun 001 (BCB, 2023)

AutoTrial: Prompting Language Models for Clinical Trial Design. - Zifeng Wang 008; Cao Xiao; Jimeng Sun 001 (EMNLP, 2023)

TWIN: Personalized Clinical Trial Digital Twin Generation. - Trisha Das; Zifeng Wang 008; Jimeng Sun 001 (KDD, 2023)

AnyPredict: Foundation Model for Tabular Prediction. - Zifeng Wang 008; Chufan Gao; Cao Xiao; Jimeng Sun 001 (CoRR, 2023)

PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development. - Zifeng Wang 008; Brandon Theodorou; Tianfan Fu; Cao Xiao; Jimeng Sun 001 (CoRR, 2023)

Matching Patients to Clinical Trials with Large Language Models. - Qiao Jin 001; Zifeng Wang 008; Charalampos S. Floudas; Jimeng Sun 001; Zhiyong Lu (CoRR, 2023)

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. - Yilin Wen 001; Zifeng Wang 008; Jimeng Sun 001 (CoRR, 2023)

CITING: Large Language Models Create Curriculum for Instruction Tuning. - Tao Feng; Zifeng Wang 008; Jimeng Sun 001 (CoRR, 2023)

UniPredict: Large Language Models are Universal Tabular Predictors. - Ruiyu Wang; Zifeng Wang 008; Jimeng Sun 001 (CoRR, 2023)

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. - Yilin Wen 006; Zifeng Wang 008; Jimeng Sun 001 (ACL (1), 2024)

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. - Zifeng Wang 008; Zichen Wang 002; Balasubramaniam Srinivasan; Vassilis N. Ioannidis; Huzefa Rangwala; Rishita Anubhai (ICLR, 2024)

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. - Zifeng Wang 008; Chufan Gao; Cao Xiao; Jimeng Sun 001 (IJCAI, 2024)

PILOT: Legal Case Outcome Prediction with Case Law. - Lang Cao; Zifeng Wang 008; Cao Xiao; Jimeng Sun 001 (NAACL-HLT, 2024)

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. - Pengcheng Jiang; Jiacheng Lin; Zifeng Wang 008; Jimeng Sun 001; Jiawei Han 001 (NAACL-HLT, 2024)

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. - Pengcheng Jiang; Cao Xiao; Zifeng Wang 008; Parminder Bhatia; Jimeng Sun 001; Jiawei Han 001 (NAACL-HLT, 2024)

Accelerating Clinical Evidence Synthesis with Large Language Models. - Zifeng Wang 008; Lang Cao; Benjamin P. Danek; Yichi Zhang; Qiao Jin 001; Zhiyong Lu; Jimeng Sun 001 (CoRR, 2024)

Panacea: A foundation model for clinical trial search, summarization, design, and recruitment. - Jiacheng Lin; Hanwen Xu; Zifeng Wang 008; Sheng Wang 012; Jimeng Sun 001 (CoRR, 2024)

Demystifying Large Language Models for Medicine: A Primer. - Qiao Jin 001; Nicholas Wan; Robert Leaman; Shubo Tian; Zhizheng Wang; Yifan Yang 006; Zifeng Wang 008; Guangzhi Xiong; Po-Ting Lai; Qingqing Zhu; Benjamin Hou; Maame Sarfo-Gyamfi; et al. (CoRR, 2024)

Can Large Language Models Replace Data Scientists in Clinical Research? - Zifeng Wang 008; Benjamin P. Danek; Ziwei Yang 002; Zheng Chen 012; Jimeng Sun 001 (CoRR, 2024)

A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. - Zifeng Wang 008; Hanyin Wang; Benjamin P. Danek; Ying Li; Christina Mack; Hoifung Poon; Yajuan Wang; Pranav Rajpurkar; Jimeng Sun 001 (CoRR, 2024)

SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning. - Trisha Das; Zifeng Wang 008; Afrah Shafquat; Mandis Beigi; Jason G. Mezey; Jimeng Sun 001 (CoRR, 2024)

A perspective for adapting generalist AI to specialized medical AI applications and their challenges. - Zifeng Wang 008; Hanyin Wang; Benjamin P. Danek; Ying Li; Christina Mack; Luk Arbuckle; Devyani Biswal; Hoifung Poon; Yajuan Wang; Pranav Rajpurkar; Cao Xiao; Jimeng Sun 001 (npj Digit. Medicine, 2025)

A foundation model for human-AI collaboration in medical literature mining. - Zifeng Wang 008; Lang Cao; Qiao Jin 001; Joey Chan; Nicholas Wan; Behdad Afzali; Hyunjin Cho; Changin Choi; Mehdi Emamverdi; Manjot K. Gill; Sun-Hyung Kim; Yijia Li; et al. (CoRR, 2025)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. - Pengcheng Jiang; Jiacheng Lin; Lang Cao; Runchu Tian; SeongKu Kang; Zifeng Wang 008; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

InformGen: An AI Copilot for Accurate and Compliant Clinical Research Consent Document Generation. - Zifeng Wang 008; Junyi Gao; Benjamin P. Danek; Brandon Theodorou; Ruba Shaik; Shivashankar Thati; Seunghyun Won; Jimeng Sun 001 (CoRR, 2025)

s3: You Don't Need That Much Data to Train a Search Agent via RL. - Pengcheng Jiang; Xueqiang Xu; Jiacheng Lin; Jinfeng Xiao; Zifeng Wang 008; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials. - Zifeng Wang 008; Qiao Jin 001; Jiacheng Lin; Junyi Gao; Jathurshan Pradeepkumar; Pengcheng Jiang; Benjamin P. Danek; Zhiyong Lu; Jimeng Sun 001 (CoRR, 2025)

BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research. - Zifeng Wang 008; Benjamin P. Danek; Jimeng Sun 001 (CoRR, 2025)