Bios

I’m a research assistant at the UW-Madison, where I collaborate with Dan Negrut.

My research interests are in robotic simulation and agentic AI.

I work on building simulation environments for robot learning and on agentic AI systems that can plan, use tools, and act reliably over long horizons. Before UW-Madison, I completed dual bachelor’s degrees at the University of Electronic Science and Technology of China and University of Glasgow

Check my Curriculum Vitae here.

News

• Apr 2026 Our paper “SimBench: A Framework for Evaluating and Diagnosing LLM-Based Digital-Twin Generation for Multi-Physics Simulation” is accepted by IEEE Access!
• Mar 2026 Our paper “FNODE: Flow-matching for data-driven simulation of constrained multibody systems” is accepted by Computer Methods in Applied Mechanics and Engineering (CMAME)!
• May 2025 Started research on robotic simulation and agentic AI at UW-Madison.
• Sep 2024 Started my M.S. in Electrical and Computer Engineering at UW-Madison!

Experience

Education

Publications

FNODE: Flow-matching for data-driven simulation of constrained multibody systems

Hongyu Wang, Jingquan Wang, Dan Negrut

Computer Methods in Applied Mechanics and Engineering (IF = 7.6), vol. 455, pp. 118912, 2026

[project] [paper] [code]

ChronoAgentic: A Code-based Multi-Agent World Simulator for Physically Grounded Simulation Construction

Hongyu Wang, Jingquan Wang, Ashvin Anilkumar, Bocheng Zou, Radu Serban, Dan Negrut

arXiv preprint arXiv:2605.14398, 2026

[project] [arXiv]

SimBench: A Framework for Evaluating and Diagnosing LLM-Based Digital-Twin Generation for Multi-Physics Simulation

Jingquan Wang, Andrew Negrut, Hongyu Wang, Harry Zhang, Dan Negrut

IEEE Access, vol. 14, pp. 61784-61808, 2026

[project] [paper] [code]