Jiawei Xu

According to our database, Jiawei Xu authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Interactive Graph Visualization and TeamingRecommendation in an Interdisciplinary Project'sTalent Knowledge Graph.

Jiawei Xu, Juichien Chen, Yilin Ye, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding

CoRR, August, 2025

Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI.

Jiawei Xu, Yonggeon Lee, Anthony Elkommos Youssef, Eunjin Yun, Tinglin Huang, Tianjian Guo, Hamidreza Saber, Rex Ying, Ying Ding

CoRR, April, 2025

TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews.

Huimin Xu, Seungjun Yi, Terence Lim, Jiawei Xu, Andrew Well, Carlos M. Mery, Aidong Zhang, Yuji Zhang, Heng Ji, Keshav Pingali, Yan Leng, Ying Ding

CoRR, March, 2025

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models.

Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding

CoRR, February, 2025

LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease.

Muhammad Zain Raza, Jiawei Xu, Terence Lim, Lily Boddy, Carlos M. Mery, Andrew Well, Ying Ding

CoRR, February, 2025

Demo: Interactive Visualization of Semantic Relationships in a Biomedical Project's Talent Knowledge Graph.

Jiawei Xu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding

CoRR, January, 2025

Position: Open and Closed Large Language Models in Healthcare.

Jiawei Xu, Ying Ding, Yi Bu

CoRR, January, 2025

Thought Graph: Balancing Specificity and Uncertainty in LLM-Based Gene Set Annotation.

Kyle Cox, Gang Qu, Chi-Yang Hsu, Jiawei Xu, Yingtong Zhou, Zhen Tan, Mengzhou Hu, Tianlong Chen, Ziniu Hu, Zhongming Zhao, Ying Ding

Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025

Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models.

Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science.

Jian Xu, Chao Yu, Jiawei Xu, Ying Ding, Vetle I. Torvik, Jaewoo Kang, Mujeen Sung, Min Song

CoRR, 2024

Thought Graph: Generating Thought Process for Biological Reasoning.

Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding

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

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering.

Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding

Proceedings of the Machine Learning for Health, 2024

Decoding Patterns of Data Generation Teams for Clinical and Scientific Success: Insights from the Bridge2AI Talent Knowledge Graph.

Jiawei Xu, Qingnan Xie, Meijun Liu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding

Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024

2021

References of References: How Far is the Knowledge Ancestry.

Chao Min, Jiawei Xu, Tao Han, Yi Bu

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021