Beyond interestingness: Semantic and Context-aware Natural Language Query Recommendations for Visual Data Analysis
Visual Informatics Journal, 2026.

Researcher building useful and reliable AI systems
I am Xingbo Wang, an AI researcher working at the intersection of large language model (LLM) agents and human–AI interaction. I am currently a research scientist at Bosch, developing LLM-based agentic systems for complex, knowledge-intensive tasks. More broadly, I build interactive tools that help people understand, evaluate, and collaborate with AI.
I received my PhD in CSE at HKUST, advised by Prof. Huamin Qu. I later worked with Prof. Fei Wang at Weill Cornell Medicine and Prof. Tanzeem Choudhury at Cornell Tech.
Outside research, I enjoy discovering local coffee shops, exploring new trails, and playing video games. My partner and I also share our home with three cats: Whisky , Coffee , and Dollar .
User interfaces for human-AI interactions and human-data interactions
(*: equal contribution; +: corresponding author; †: intern(s))
EACL 2026 (Oral).
CHI 2025.
Campbell Systematic Reviews 2025.
IEEE Pacific Visualization Conference (PacificVis), 2025.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of PacificVis 2025).
IEEE Transactions on Visualization and Computer Graphics (VIS 2023).
The ACM Symposium on User Interface Software and Technology (UIST 2023).
IEEE Transactions on Visualization and Computer Graphics (VIS 2023).
IEEE Transactions on Visualization and Computer Graphics (VIS 2023).
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS '21).
🏆 Best Paper Honorable Mention