About Me

I am a graduate student at the School of Artificial Intelligence, Wuhan University of Technology. My research interests focus on learning-based image compression, particularly multi-view image compression and distributed image compression.

I am interested in exploring how advanced machine learning models, visual representations, and generative priors can be incorporated into image compression systems to improve compression efficiency and reconstruction quality.

Education

• Wuhan University of Technology
  School of Artificial Intelligence
  Graduate Student, September 2026 – Present

• Henan Institute of Science and Technology
  Undergraduate Student, 2022 – 2026

Honors & Awards

• National Scholarship for Undergraduate Students, Ministry of Education of the People’s Republic of China, 2024 (2023–2024 Academic Year).
• National Scholarship for Undergraduate Students, Ministry of Education of the People’s Republic of China, 2023 (2022–2023 Academic Year).

Current Research

My research focuses on learning-based visual information compression, with an emphasis on exploiting correlations between multiple views and utilizing advanced learning-based models for efficient image representation and reconstruction.

I am particularly interested in the intersection of multi-view image compression, distributed coding, and generative modeling.