My name is Jiawei Xu (许家伟 in Chinese). I am a third-year Ph.D. student in Information Studies at the UT Austin School of Information, working in the AI Health Lab under the supervision of Professor Ying Ding. Previously, I was advised by Dr. Yi Bu in the Department of Information Management at Peking University.
I am a social science student with a growing focus on computer science and AI. My career goals are open-ended. I conduct research at the intersection of LLM agents, social science (e.g., science of science), and healthcare applications.
🔥 News
- December 2025:
I am organizing the GenAI4Health Workshop at NeurIPS 2025.
- May 2025:
I started working as an Applied Scientist Intern at Amazon Search (Palo Alto, CA) in Summer 2025 and am now working remotely during Fall 2025.
- April 2025:
A paper was accepted at The Journal of the Association for Information Science and Technology (JASIST).
- February 2025:
I built an interactive knowledge graph visualization for the NIH Bridge2AI program: CM4AI Knowledge Graph. I also developed a teaming recommendation demo: CM4AI Teaming.
📝 Research


Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding.
EMNLP, 2025. Code & Paper

[AAAI 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.
AAAI, 2025. Code

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.
ML4H, 2024. Code
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[AAAI 2025 (Workshop)] LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease, Jiawei Xu* (co-first author), Muhammad Zain Raza* (co-first author), Terence Lim, Lily Boddy, Carlos M. Mery, Andrew Well, Ying Ding. AAAI 2025: GenAI4Health Workshop.
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[JCDL 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 Yue Chen, Ying Ding. JCDL 2024.
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[NeurIPS 2024 (Workshop)] 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. NeurIPS 2024: GenAI4Health Workshop.CM4AI Knowledge Graph
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[NeurIPS 2024 (Workshop)] Position: Open and Closed Large Language Models in Healthcare, Jiawei Xu, Ying Ding, Yi Bu. NeurIPS 2024: GenAI4Health Workshop.
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[Web Conference 2024 (Companion)] 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. Companion Proceedings of the ACM on Web Conference 2024, 537-540.
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[ISSI 2021] Interdisciplinarity vs. Unidisciplinarity: A structural comparison of multi-generation citations and references, Jiawei Xu, Chao Min, Win-bin Huang, Yi Bu. ISSI 2021.
🎓 Teaching and Service
Teaching
- 2024 - 2025: Teaching on LLM Multi-agent building, UT Austin
- 2021 - 2023: Data Visualization, Peking University, Teaching Assistant.
- 2022: Complex Networks, Peking University, Teaching Assistant.
Service
- 2025: Organizing the GenAI4Health Workshop at NeurIPS 2025.
- Reviewer of: ACM Computing Surveys, Nature Humanities & Social Sciences Communications, Journal of the Association for Information Science and Technology, Online Information Review, Data Intelligence, Information & Culture, Journal of Clinical and Translational Science, Scientometrics
- Conference reviewer of: AAAI 2026 Main Conference, AAAI 2026 AI Alignment Track
Invited Talks
- 2023.08: “Beyond Correlation: What Factors Influence Scientific Performance” (with Yi Bu and Yang Ding).
📖 Educations
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2023.08 - Now: Ph.D. student in Information Studies at the School of Information, UT Austin, supervised by Professor Ying Ding.
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2021.09 - 2023.06: M.S. in Information Science, Department of Information Management, Peking University, supervised by Doctor Yi Bu.
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2017.09 - 2021.06: B.Mngt. in Information Management & Information System, Department of Information Management, Peking University.