Yuzhang Xie

Orcid: 0009-0001-3241-9418

According to our database1, Yuzhang Xie authored at least 16 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes.
CoRR, March, 2026

Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training.
CoRR, March, 2026

MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction.
CoRR, March, 2026

EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and Reasoning.
CoRR, January, 2026

2025
BioMedJImpact: A Comprehensive Dataset and LLM Pipeline for AI Engagement and Scientific Impact Analysis of Biomedical Journals.
CoRR, November, 2025

Towards Automatic Evaluation and Selection of PHI De-identification Models via Multi-Agent Collaboration.
CoRR, October, 2025

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.
CoRR, July, 2025

Preliminary analysis of the impact of lab results on large language model generated differential diagnoses.
npj Digit. Medicine, 2025

HypKG: Hypergraph-Based Knowledge Graph Contextualization for Precision Healthcare.
Proceedings of the Semantic Web - ISWC 2025, 2025

Utilizing Large Language Models for Zero-Shot Medical Ontology Extension from Clinical Notes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

CROSSAGENTIE: Cross-Type and Cross-Task Multi-Agent LLM Collaboration for Zero-Shot Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes.
CoRR, 2024

Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression.
Artif. Intell. Medicine, 2024

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022
Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022


  Loading...