activity
20242026
collaborators

23 papers

cs.IR2026

BioMedJImpact: A Comprehensive Dataset and LLM Pipeline for AI Engagement and Scientific Impact Analysis of Biomedical Journals

Ruiyu Wang, Yuzhang Xie, Xiao Hu +2

Assessing journal impact is central to scholarly communication, yet existing resources rarely capture how collaboration and artificial intelligence (AI) research jointly shape venu…

q-bio.GN2026

LLMBDC: Language Model for Biological Domains Oriented Clustering of Gene Ontology

Ximing Ran, Jie Xu, Peng Jin +3

Gene Ontology (GO) enrichment analysis is a foundational tool for translating large-scale genomic data into biological insights, but typically yields hundreds of redundant terms th…

q-bio.QM2026

TCellAlign: Cross-study T-cell Populations Alignment with Nomenclature-Guided Multi-Agent Workflow

Pengyu Xie, Rongjia Zhou, Zhilin Ou +5

Cell type standardization plays a central role in integrating biological knowledge across single-cell studies. While standardized resources (e.g., Cell Ontology, Nomenclature Frame…

cs.AI2026

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

Mingchen Shao, Yuzhang Xie, Carl Yang +1

Accurate extraction of Alzheimer's Disease and Related Dementias (ADRD) phenotypes from electronic health records (EHR) is critical for early-stage detection and disease staging. H…

cs.CV2026

NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis

Runze Yan, Minxiao Wang, Jiaying Lu +3

Comprehensive estimation of dietary micronutrients from food images could improve clinical nutrition care, but training such models requires large multimodal datasets linking diver…

cs.AI2026

EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs

Yuzhang Xie, Keqi Han, Yunpeng Xiao +7

Clinical decision-making (CDM) is central to real-world clinical workflows, where clinicians infer diagnoses, select treatments, or anticipate future health outcomes under incomple…