Zijun Cui

I am a Master's student in the Electrical and Computer Engineering department at University of Washington. Currently, I am a member of NeuroAI Lab advised by Prof. Eli Shlizerman. My research interests include Multimodal Spatial Understanding, Multimodal Learning & Generation, and Embodied AI.

Before UW, I was a research assistant at State Key Laboratory of CAD&CG in College of Computer Science and Technology at Zhejiang University, supervised by Prof. Zhaopeng Cui.

My full name is pronounced as /ziˈdʒʊn tsweɪ/, with the "C" in Cui sounding like “ts”.

I am actively seeking research opportunities. Feel free to email me if you would like to collaborate!

Email: zijuncui@uw.edu

/ LinkedIn  /  Calendar  /  Email  /  Github  /  Google Scholar  / 

We introduce SAVVY-Bench, the first benchmark for 3D spatial reasoning in dynamic audio-visual scenes. We also propose SAVVY, a novel training-free pipeline integrating egocentric spatial tracks and dynamic global maps, which significantly enhances AV-LLM performance for improved audio-visual spatial awareness in such environments.

Participated in the research and provided result verification support for a physics-constrained self-supervised learning framework for robot motion planning in complex 3D environments.

Investigated different split tooth structures in linear permanent magnet Vernier motors through finite element analysis, comparing non-split-tooth, two-split-teeth, and three-split-teeth configurations to optimize thrust ripple and motor performance.

Thanks to Jon Barron for providing this amazing template.