Yujia Zeng

I am a third-year undergraduate student in the School of the Gifted Young (少年班), University of Science and Technology of China (USTC). Before this, I was an algorithm intern at Baidu and HiDream.ai. Now I am a visiting student at MSC Lab in UC Berkeley, advised by Prof. Masayoshi Tomizuka. Outside of research, I enjoy playing the piano and painting. My research focuses on WorldModel and I am currently seeking PhD opportunities for Fall 2027.

yujiazng@gmail.com

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News

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πŸŽ‰One paper got accepted to ICIC’26.
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✈️Arrived at MSC Lab for onsite summer research.
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πŸƒReceived the Outstanding Physical Fitness Award (top <1% university-wide).
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πŸ’ΌJoined Baidu as a Research Intern.
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πŸ₯ˆWon a silver medal at the ICPC Hong Kong Regional.
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πŸ†Awarded the National Scholarship.
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🌟Served as President of the School Student Union.

Publications

Selected research papers

ICIC 2026
ReconNet: Generative Recommendation with Control-Guided Diffusion Models overview

(Oral)ReconNet: Generative Recommendation with Control-Guided Diffusion Models

Yujia Zeng

ICIC 2026Β·Toronto, Canada

  • This work reformulates sequential recommendation as a control-guided diffusion generation task integrating ControlNEXT into the diffusion process, allowing user preferences across multiple domains to act as control signals that guide personalized recommendation item generation.

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