Yuze Zhu 朱昱泽

School of Artificial Intelligence, UCAS. Beijing, China.

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I am currently a third-year undergraduate student at the School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS). My research interests lie in Embodied AI, with a specific focus on Vision-Language Action (VLA).

Beyond research, I am a passionate photographer. Born and raised in Hangzhou and now based in Beijing for my studies, I always enjoy meeting friends from around the world. If you would like to chat about research, daily life, or anything culturally Chinese, please feel free to reach out. Emails from anywhere are warmly welcome!

While this page is just a starting point, I aim to continuously enrich it as I grow. I look forward to participating in more open-source projects and making meaningful contributions to the field in the future.

experience

full CV
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Embodied AI Algorithm Intern

Mar 2026 - Present
FiveAges (中科第五纪) · Beijing

Supervised by Prof. Yan Huang. Working on embodied intelligence algorithms, with a focus on Vision-Language-Action (VLA) models and bridging academic research with real-world robotic deployment.

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Research Intern

Jul 2025 - Jan 2026

Supervised by Assoc. Prof. Junyu Gao and Prof. Changsheng Xu. Conducted research on Vision-Language Navigation (VLN) with a focus on self-correction, leading the full research cycle from idea proposal and codebase development to data analysis and manuscript writing. Co-authored a paper (second author) accepted by ICML 2026.

May 01, 2026 Our paper “SC²-WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments” has been accepted by ICML 2026!
Mar 04, 2026 Started my internship at FiveAges (中科第五纪) as an Embodied AI Algorithm Intern.
Feb 08, 2026 Setting up my personal site as a new beginning. Looking forward to the future with great anticipation.

selected publications

all publications
  1. SC^2-WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments
    Xuan Yao, Yuze Zhu, Junyu Gao, and 2 more authors
    ICML, 2026