I am a second-year Ph.D. student in Information Studies at the School of Information, UT Austin, working in the AI Health Lab under the supervision of Professor Ying Ding. Before joining Professor Ding’s team, I collaborated with Doctor Yi Bu at the Department of Information Management, Peking University.
My aspiration is to become a computational social scientist to uncover patterns and solutions in healthcare and scholarly communications. I am eagerly looking forward to an academic career that combines research and teaching after completing my Ph.D.
My Chinese name is 许家伟.
🔥 News
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May 2025: I will work as an applied scientist intern at Amazon Search (Palo Alto, CA) during the summer.
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April 2025: A paper was accepted at The Journal of the Association for Information Science and Technology (JASIST), will appear soon.
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February 2025: I developed an interactive knowledge graph visualization, which has been adopted by the NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program and featured on their official landing page. For more details, please see my paper “Demo: Interactive Visualization of Semantic Relationships in a Biomedical Project’s Talent Knowledge Graph” and explore the visualization itself.
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February 2025: A paper was presented at AAAI 2025.
📝 Research
Jiawei Xu, Zhihan Zheng, Chao Min, Win-bin Huang, and Yi Bu.
The Journal of the Association for Information Science and Technology (JASIST), 2025. Code and paper will appear soon
[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
Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding.
TBD, 2025. Code & Paper
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
- [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
- 2024 - 2025: Tutorials on LLM API and LangChain, UT Austin
- 2021 - 2023: Data Visualization, Peking University, Teaching Assistant.
- 2022: Complex Networks, Peking University, Teaching Assistant.
📖 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.
💬 Invited Talks
- 2023.08: “Beyond Correlation: What Factors Influence Scientific Performance” (with Yi Bu and Yang Ding).