Jiaying Lu

According to our database, Jiaying Lu authored at least 41 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Yuzhang Xie, Keqi Han, Yunpeng Xiao, Hejie Cui, Guanchen Wu, Ziyang Zhang, Kai Shu, Jiaying Lu, Xiao Hu, Carl Yang

CoRR, May, 2026

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

Mingchen Shao, Yuzhang Xie, Carl Yang, Jiaying Lu

CoRR, March, 2026

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.

Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao

ACM Comput. Surv., February, 2026

2025

ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes.

Rongjia Zhou, Chengzhuo Li, Carl Yang, Jiaying Lu

CoRR, December, 2025

Knowledge Graph Augmented Large Language Models for Disease Prediction.

Ruiyu Wang, Tuan Vinh, Ran Xu, Yuyin Zhou, Jiaying Lu, Carl Yang, Francisco Pasquel

CoRR, December, 2025

EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model.

Yuhao Xu, Xiaoda Wang, Jiaying Lu, Sirui Ding, Defu Cao, Huaxiu Yao, Yan Liu, Xiao Hu, Carl Yang

CoRR, November, 2025

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

Ruiyu Wang, Yuzhang Xie, Xiao Hu, Carl Yang, Jiaying Lu

CoRR, November, 2025

Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals.

Saurabh Kataria, Yi Wu, Zhaoliang Chen, Gloria Hyunjung Kwak, Yuhao Xu, Lovely Yeswanth Panchumarthi, Ran Xiao, Jiaying Lu, Ayca Ermis, Anni Zhao, Runze Yan, Alex Federov, Zewen Liu, Xu Wu, Wei Jin, Carl Yang, Jocelyn Grunwell, Stephanie R. Brown, Amit J. Shah, Craig S. Jabaley, Timothy G. Buchman, Sivasubramanium V. Bhavani, Randall J. Lee, Xiao Hu

CoRR, October, 2025

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models.

Victoria Yan, Honor Chotkowski, Fengran Wang, Xinhui Li, Jessica L. Saurman, Fadi B. Nahab, David Loring, Carl Yang, Jiaying Lu, Runze Yan, Xiao Hu, Alex Fedorov

CoRR, August, 2025

Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model.

Yilang Ding, Jiawen Ren, Jiaying Lu, Gloria Hyunjung Kwak, Armin Iraji, Alex Fedorov

CoRR, August, 2025

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

Yuzhang Xie, Hejie Cui, Ziyang Zhang, Jiaying Lu, Kai Shu, Fadi B. Nahab, Xiao-Hu Zhou, Carl Yang

CoRR, July, 2025

Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model.

Mingchen Shao, Youjeong Kang, Xiao Hu, Gloria Hyun-Jung Kwak, Carl Yang, Jiaying Lu

CoRR, February, 2025

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model.

Saurabh Kataria, Ran Xiao, Timothy Ruchti, Matthew Clark, Jiaying Lu, Randall J. Lee, Jocelyn Grunwell, Xiao Hu

CoRR, February, 2025

Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer.

Jiaying Lu, Stephanie R. Brown, Songyuan Liu, Shifan Zhao, Kejun Dong, Del Bold, Michael Fundora, Alaa Aljiffry, Alex Fedorov, Jocelyn Grunwell, Xiao Hu

CoRR, February, 2025

A review on knowledge graphs for healthcare: Resources, applications, and promises.

Hejie Cui, Jiaying Lu, Ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, Zhaohui S. Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang

J. Biomed. Informatics, 2025

MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning.

Bo Xiong, Jiaying Lu, Yuqicheng Zhu, Carl Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

HypKG: Hypergraph-Based Knowledge Graph Contextualization for Precision Healthcare.

Yuzhang Xie, Xu Han, Ran Xu, Xiao Hu, Jiaying Lu, Carl Yang

Proceedings of the Semantic Web - ISWC 2025, 2025

An Electrocardiogram Multi-Task Benchmark with Comprehensive Evaluations and Insightful Findings.

Yuhao Xu, Jiaying Lu, Sirui Ding, Defu Cao, Xiao Hu, Carl Yang

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes.

Guanchen Wu, Linzhi Zheng, Han Xie, Zhen Xiang, Jiaying Lu, Darren Liu, Delgersuren Bold, Bo Li, Xiao Hu, Carl Yang

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model.

Mingchen Shao, Youjeong Kang, Xiao Hu, Gloria Hyunjung Kwak, Carl Yang, Jiaying Lu

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

ScPanKD: Distilling Pan-Cancer Knowledge for Enhanced T Cell Subtypes Annotation in Single-Cell Transcriptomics Data.

Wenjing Ma, Xiaoqing Yu, Jiaying Lu, Jing Zhang, Xiang Zhou, Xuefeng Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Integrating Epigenetic and Phenotypic Features for Biological Age Estimation in Cancer Patients via Multimodal Learning.

Shuyue Jiang, Wenjing Ma, Shaojun Yu, Chang Su, Runze Yan, Jiaying Lu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Measuring Spiritual Values and Bias of Large Language Models.

Songyuan Liu, Ziyang Zhang, Runze Yan, Wei Wu, Carl Yang, Jiaying Lu

CoRR, 2024

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling.

Shifan Zhao, Jiaying Lu, Carl Ji Yang, Edmond Chow, Yuanzhe Xi

CoRR, 2024

LogicPrpBank: A Corpus for Logical Implication and Equivalence.

Zhexiong Liu, Jing Zhang, Jiaying Lu, Wenjing Ma, Joyce C. Ho

CoRR, 2024

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.

Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl Yang, Xiao Hu

CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao

CoRR, 2024

Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process.

Jiaying Lu, Shifan Zhao, Wenjing Ma, Hui Shao, Xiao Hu, Yuanzhe Xi, Carl Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.

Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation.

Jiaying Lu, Xiangjue Dong, Carl Yang

IEEE Trans. Knowl. Data Eng., October, 2023

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models.

Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang

CoRR, 2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.

Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce C. Ho, Fei Wang, Carl Yang

CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.

Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao

CoRR, 2023

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting.

Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields.

Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Closed-book Question Generation via Contrastive Learning.

Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation.

Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang

Proceedings of the Advances in Information Retrieval, 2022

Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning.

Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Open-World Taxonomy and Knowledge Graph Co-Learning.

Jiaying Lu, Carl Yang

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021

Evaluation of Unsupervised Entity and Event Salience Estimation.

Jiaying Lu, Jinho D. Choi

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2019

Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient.

Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang

CoRR, 2019