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Yinghua Zhou Welcome! I am currently a CS master's student at Brown University. I am interested in Embodied Intelligence, particularly large foundation models for generalist robot learning. Prior to Brown, I completed my B.S. in Computer Science at Monash University and received my (first class) Honours degree in Computer Science from The University of Sydney. 💡 I am actively looking for research collaborations. Please feel free to drop me an email if interested, or just to say hi! 👋 Contact: zyinghua [at] brown [dot] edu |
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Research |
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Rolling-WAM: World Action Models with Rolling Imagination
Yinghua Zhou*, Junjie Ye*, Yiqi Zhao, Hao Dong, Celina Shiyu Wang, Ruohai Ge, Tingyi Yang, Basile Van Hoorick, Gaurav Sukhatme, Vitor Guizilini†, Yue Wang† Under review, 2026 project page / code Rolling-WAM distributes joint video-action denoising across a rolling prediction window, enabling faster inference while maintaining strong task performance. |
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Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals
Nate Gillman, Yinghua Zhou, Zitian Tang, Evan Luo, Arjan Chakravarthy, Daksh Aggarwal, Michael Freeman, Charles Herrmann, Chen Sun CVPR, 2026 project page / arXiv / code Goal Force specifies visual goals for video world models via explicit force vectors; trained only on synthetic causal primitives, it generalizes zero-shot to real-world scenes as an implicit neural physics simulator. |
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