Runyi Li
Scholar

Runyi Li

Google Scholar ID: rVP5yWoAAAAJ
Peking University
Low-level VisionTrustworthy AI
Citations & Impact
All-time
Citations
319
 
H-index
9
 
i10-index
9
 
Publications
16
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published several papers in top-tier conferences, including CVPR, ECCV (oral), ICLR, NeurIPS, and ACMMM, with over 200 citations.
Research Experience
  • Worked as a visiting student at Würzburg University under the supervision of Prof. Radu Timofte, focusing on generative AI for low-level vision, such as image super-resolution and face restoration. Conducted research on trustworthy AI during an internship at RabbitPre, a unicorn startup, and on AI for Chemistry and Materials research at the School of Physics, Peking University, supervised by Prof. Lixin Xiao.
Education
  • Received the B.E. degree from Sichuan University in 2023 with Honors. Currently a second-year master's student at the School of Electronic and Computer Engineering, Peking University, supervised by Prof. Jian Zhang.
Background
  • Research interests include Generative AI, Multi-modal LLM, Low-level Vision, and 3D Gaussian Splatting. Currently working as an intern at Bytedance Tiktok Group, focusing on unified vision understanding and generation via MLLM and Diffusion Model.
Miscellany
  • Looking for a Ph.D. position for Fall 2026, focusing on Multi-modal LLM, Generative AI, and other topics in computer vision and machine learning. Aiming to contribute to foundational research in multimodal generation and interpretability.