Zifeng Wang

Orcid: 0000-0002-3026-9970

Affiliations:
  • University of Illinois Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
  • Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen, China
  • Tongji University, College of Civil Engineering, Shanghai, China


According to our database1, Zifeng Wang authored at least 37 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A foundation model for human-AI collaboration in medical literature mining.
CoRR, January, 2025

2024
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning.
CoRR, 2024

A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges.
CoRR, 2024

Can Large Language Models Replace Data Scientists in Clinical Research?
CoRR, 2024

Demystifying Large Language Models for Medicine: A Primer.
CoRR, 2024

Panacea: A foundation model for clinical trial search, summarization, design, and recruitment.
CoRR, 2024

Accelerating Clinical Evidence Synthesis with Large Language Models.
CoRR, 2024

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PILOT: Legal Case Outcome Prediction with Case Law.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
UniPredict: Large Language Models are Universal Tabular Predictors.
CoRR, 2023

CITING: Large Language Models Create Curriculum for Instruction Tuning.
CoRR, 2023

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.
CoRR, 2023

Matching Patients to Clinical Trials with Large Language Models.
CoRR, 2023

PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development.
CoRR, 2023

AnyPredict: Foundation Model for Tabular Prediction.
CoRR, 2023

TWIN: Personalized Clinical Trial Digital Twin Generation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AutoTrial: Prompting Language Models for Clinical Trial Design.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
Artificial Intelligence for In Silico Clinical Trials: A Review.
CoRR, 2022

Deep semantic segmentation for visual understanding on construction sites.
Comput. Aided Civ. Infrastructure Eng., 2022

TransTab: Learning Transferable Tabular Transformers Across Tables.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PAC-Bayes Information Bottleneck.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Finding Influential Instances for Distantly Supervised Relation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SurvTRACE: transformers for survival analysis with competing events.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Lifelong Learning Based Disease Diagnosis on Clinical Notes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
Data-driven risk assessment on urban pipeline network based on a cluster model.
Reliab. Eng. Syst. Saf., 2020

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
CoRR, 2020

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Less Is Better: Unweighted Data Subsampling via Influence Function.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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