Xizhi Wu

According to our database, Xizhi Wu authored at least 19 papers between 2009 and 2026.

Collaborative distances:

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

2026

What Makes a Medical Checker Trainable? Diagnosing Signal Collapse and Reward Hacking in Checker-Guided RAG for Biomedical QA.

Yuelyu Ji, Min Gu Kwak, Hang Zhang, Xizhi Wu, Chenyu Li, Yanshan Wang

CoRR, May, 2026

A Scoping Review of LLM-as-a-Judge in Healthcare and the MedJUDGE Framework.

Chenyu Li, Zohaib Akhtar, Min Gu Kwak, Yuelyu Ji, Hang Zhang, Tracey Obi, Yufan Ren, Xizhi Wu, Sonish Sivarajkumar, Harold P. Lehmann, Shyam Visweswaran, Michael J. Becich, Danielle L. Mowery, Renxuan Liu, Haoyang Sun, Yanshan Wang

CoRR, April, 2026

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning.

Hang Zhang, Ruheng Wang, Yuelyu Ji, Min Gu Kwak, Xizhi Wu, Chenyu Li, Li Zhang, Wenqi Shi, Yifan Peng, Yanshan Wang

CoRR, January, 2026

MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented Generation.

Yuelyu Ji, Min Gu Kwak, Hang Zhang, Xizhi Wu, Chenyu Li, Yanshan Wang

CoRR, January, 2026

SDoH-GPT: using large language models to extract social determinants of health.

Bernardo Consoli, Haoyang Wang, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding

J. Am. Medical Informatics Assoc., 2026

Automated extraction of fluoropyrimidine treatment and treatment-related toxicities from clinical notes using natural language processing.

Xizhi Wu, Madeline S. Kreider, Philip E. Empey, Chenyu Li, Yanshan Wang

Int. J. Medical Informatics, 2026

An enhanced strategy for query-based defect detector via adaptive spatial feature Reorganization And cross-stage query Injection.

Liangcheng Ma, Haidong Shao, Xiaoru Xu, Xizhi Wu

Adv. Eng. Informatics, 2026

2025

Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care.

Xizhi Wu, Nelly Estefanie Garduno-Rapp, Justin F. Rousseau, Mounika Thakkallapally, Hang Zhang, Yuelyu Ji, Shyam Visweswaran, Yifan Peng, Yanshan Wang

CoRR, December, 2025

Generative Foundation Model for Structured and Unstructured Electronic Health Records.

Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji, Maneesh Bilalpur, Xizhi Wu, Chenyu Li, Min Gu Kwak, Shyam Visweswaran, Yanshan Wang

CoRR, August, 2025

Mitigating the risk of health inequity exacerbated by large language models.

Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang

npj Digit. Medicine, 2025

2024

A framework for human evaluation of large language models in healthcare derived from literature review.

Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang

npj Digit. Medicine, 2024

SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH).

Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding

CoRR, 2024

A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare.

Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang

CoRR, 2024

Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines.

David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2011

Stratified Normalization LogitBoost for Two-Class Unbalanced Data Classification.

Jie Song, Xiaoling Lu, Miao Liu, Xizhi Wu

Commun. Stat. Simul. Comput., 2011

A New Two-Group-Forecast-and-Selection Method for Direct Marketing.

Xiaoling Lu, Jie Song, Miao Liu, Xizhi Wu

Commun. Stat. Simul. Comput., 2011

A new LogitBoost algorithm for multiclass unbalanced data classification.

Jie Song, Xiaoling Lu, Miao Liu, Xizhi Wu

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Hierarchical classification model based on MD feature selection method.

Miao Liu, Xiaoling Lu, Jie Song, Xizhi Wu

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2009

An Improved AdaBoost Algorithm for Unbalanced Classification Data.

Jie Song, Xiaoling Lu, Xizhi Wu

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009