Master in Computer Science
Student, Beijing Institute of Technology
Curriculum Vitae | Blog

I am a graduated student at Beijing Institute of Technology, advised by Prof. Ying Fu. Before that, I received my B.S. in Computer Science and Technology from Beijing Institute of Technology in 2020. I also work closely with Kaixuan Wei advised by Felix Heide at Princeton University.

My research interest lies in the optimization and computer vision. Previously, I primarily worked on diffusion models, proximal algorithm modeling, and image restoration. I also gained experience in some high-level vision tasks during the internship at OpenGVLab, advised by Wenhai Wang.

News

For Fun

• May 2024: 🌻 Released MuLan - Make your diffusion model multilingual without training.
• Apr 2024: 🤗 Released OpenDMD - Open sourced one step diffusion model.
• Oct 2023: 🎉 Checkout our investigation of DALLE3 at Mini-DALLE3.
• May 2023: 🔥 Released Anything2Image and replication of DragGAN.

Research

• July 2024: ControlLLM is accepted by ECCV 2024.
• Nov 2023: HSI-RefSR is accepted by TNNLS.
• Jul 2023: HSDT is accepted by ICCV 2023.
• May 2023: Delta-Prox is accepted by SIGGRAPH TOG 2023.
• Jan 2022: DPHSIR is accepted by Neurocomputing.

Selected Publications

Experiences

• 2022-5 ~ 2023-7: Research intern at Shanghai AI laboratory, advised by Wenhai Wang.
• 2019-7 ~ 2020-3: Algorithm intern at Kuaishou Technology, Y-Tech.

Services

Journal reviewer: TIP / TGRS

Conference reviewer: CVPR 2022 / ICCV 2021 / PBDL 2021 / ACMMM 2021

Awards

• National Scholarship China (2022)
• Academic Scholarship of Beijing Institute of Technology (2020,2022)
• Honorable Mention, Interdisciplinary Contest in Modeling (2019)
• First Prize of China Undergraduate Mathematical Contest in Modeling, Beijing (2018)
• Scholarship for Outstanding Students (2017,2018)