About Me

I recently joined ByteDance as a Researcher of Generative AI. Previously, I received my Ph.D. in Computer Science from the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, advised by Prof. Changsheng Xu and Prof. Weiming Dong. I obtained my B.S. in Automation from Tsinghua University in 2020.

My research sits at the intersection of Computer Vision and Computer Graphics, focusing on building interactive, interpretable, and creative generative models. Currently, I work on Generative AI, Multimedia, and Computational Art.

🔥 News

  • 2026.09: 🎉🎉 Our paper SplitMoE has been accepted by NeurIPS 2026 as a Spotlight!
  • 2026.08: 🎉🎉 Our paper Beyond Pixels has been accepted by SIGGRAPH ASIA 2026!
  • 2026.02: 🎉🎉 Our paper TAG-MoE has been accepted by CVPR 2026!
  • 2025.05 🎉 MotionCrafter: Plug-and-Play Motion Guidance for Diffusion Models accepted to IEEE TVCG [Code]
  • 2025.04 🎉 B4M: Breaking Low-Rank Adapter for Making Content-Style Customization accepted to ACM TOG [Code]
  • 2025.01 🎉 IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting accepted to ACM SIGGRAPH 2025 [Code]

📝 Publications

Newest first · Includes preprints, labeled below. Google Scholar ↗

2026

2025

2024

2023

2022

💻 Work Experience

ByteDance
ByteDance
Researcher of Generative AI
July 2025 – Present