Yuchen Lin | 林宇辰

Hi there! I am Yuchen Lin, a first-year Ph.D. student in the Machine Learning Department at Carnegie Mellon University. Previously, I received my B.S. from Peking University, majoring in Artificial Intelligence in Zhi Class (an honors program directed by Prof. Baoquan Chen) of EECS School. During my undergraduate studies, I was fortunate to work closely with Prof. Yadong Mu.

Email: linyuchen [at] stu.pku.edu.cn   /   yuchenlin0612 [at] gmail.com

GitHub  /  Google Scholar  /  Twitter  /  WeChat

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News

  • [2026/06] One paper is accepted by ECCV 2026.
  • [2026/02] Three papers are accepted by CVPR 2026.
  • [2025/09] One paper is accepted by NeurIPS 2025.
  • [2025/07] One paper is accepted by TPAMI 2025.
  • [2025/01] One paper is accepted by ICLR 2025.

Publications

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My research interests lie in Embodied AI and Multimodal Learning.

*: equal contribution

Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video Diffusion


Bowen Xue, Brandon Y. Feng, Chenguo Lin, Yuchen Lin, Yujia Zeng, Lvmin Zhang, Maneesh Agrawala, Honglei Yan, Panwang Pan
European Conference on Computer Vision (ECCV), 2026

Ring Forcing is an autoregressive video diffusion framework designed to robustly construct and precisely utilize long-term memory.

ID-Crafter: VLM-Grounded Online RL for Compositional Multi-Subject Video Generation


Panwang Pan*, Jingjing Zhao*, Yuchen Lin*, Chenguo Lin, Chenxin Li, HengYu Liu, Tingting Shen, Yadong Mu
Computer Vision and Pattern Recognition (CVPR), 2026
arxiv / code / website /

ID-Crafter is a multi-subject video synthesis model that generates subject-consistent videos with multiple references.

project image

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers


Yuchen Lin*, Chenguo Lin*, Panwang Pan, Honglei Yan, Yiqiang Feng, Yadong Mu, Katerina Fragkiadaki
Neural Information Processing Systems (NeurIPS), 2025
arxiv / code / website / youtube /

PartCrafter is a structured 3D generative model that jointly generates multiple parts and objects from a single RGB image in one shot. PartCrafter received more than 1.5k stars within a month.

OmniPhysGS: 3D Constitutive Gaussians for General Physics-based Dynamics Generation


Yuchen Lin, Chenguo Lin, Jianjin Xu, Yadong Mu
International Conference on Learning Representations (ICLR), 2025
arxiv / code / website /

OmniPhysGS is a novel framework for general physics-based 3D dynamic scene synthesis, which can automatically and flexibly model various materials with domain-expert Constitutive Gaussians.

Experiences

Carnegie Mellon University


School of Computer Science


2024.08 - 2024.12
Exchange Student

Machine Learning Department


2026.09 - Present
Ph.D. Student
Research Advisor: Prof. Katerina Fragkiadaki

Machine Intelligence Lab


Wangxuan Institute of Computer Technology, Peking University


2023.09 - 2026.06
Research Intern
Research Advisor: Prof. Yadong Mu

Peking University


School of Electronics Engineering and Computer Science


2022.09 - 2026.06
Undergraduate Student
Academic Advisor: Prof. Baoquan Chen
Major in Artificial Intelligence in Zhi Class, an Honors Program.

Services

  • Reviewer: ICLR 2026, ICML 2026

Selected Awards

  • 2024: Award for Scientific Research, Peking University

  • 2024: Zhi Class Scholarship

  • 2023: Robin Li Scholarship (25 awards per year in Peking University)

  • 2023: Merit Student, Peking University

  • 2022: XiaoSong Scholarship of Fuguang Foundation (4/200k+ every year in Fujian Province)

  • 2020: First Prize, China Physics Olympiad (Fujian Province)

Miscellaneous



© Yuchen Lin | Last update: 2026/08/23

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