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Bowen Xue (薛博文)

I am a third-year undergraduate at USTC, currently a research intern with Prof. Jiajun Wu at Stanford University. Previously, I interned at ByteDance, MIT HAN Lab, and Tencent. I explore visual generation and am actively seeking Fall 2027 PhD opportunities.

News

  • Ring Forcing was accepted by ECCV 2026! More details coming soon.
  • Started as a research intern in Prof. Jiajun Wu's group at Stanford University.
  • FourTune was accepted by ICML 2026!
  • Stand-In was accepted by CVPR 2026! See you in Denver!
  • Joined ByteDance as a research intern.
  • Started a new research journey as an intern at MIT HAN Lab!
  • Worked as a research intern at Tencent.

Publications

FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models

FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models

Bowen Xue*, Zihan Min*, Xingyang Li*, Zhekai Zhang, Haocheng Xi, Lvmin Zhang, Maneesh Agrawala, Jun-Yan Zhu, Song Han, Yujun Lin, and Muyang Li

ICML 2026FourTune enables end-to-end fully 4-bit diffusion post-training, matching BF16 LoRA quality with 2.25× lower memory and 2.27× higher throughput.

Stand-In: A Lightweight and Plug-and-Play Identity Control for Video Generation

Bowen Xue*, Zheng-Peng Duan*, Qixin Yan, Wenjing Wang, Hao Liu, Chun-Le Guo, Chongyi Li, Chen Li, and Jing LYU

CVPR 2026Stand-In trains just 1% of the original model’s parameters with 2,000 video–prompt pairs, yet achieves high-quality identity-preserving video generation.