About me

I am a first-year Ph.D. student at the University of Toyama, Japan, specializing in computer vision and deep learning. My research focuses on dataset distillation and diffusion models for controllable and efficient image generation.

I hold a Master’s degree in Bioengineering, with hands-on experience in molecular biology (e.g., PCR, ELISA, plasmid construction) and bioinformatics (e.g., transcriptomics, genomics, tumor sequencing). I am particularly interested in bridging AI and life sciences, and have been involved in interdisciplinary collaborations, including joint research with the College of Food Science at Zhejiang Gongshang University.

My recent work aims to enhance dataset distillation methods and integrate them with generative models, with the goal of improving data efficiency and generation quality for practical computer vision applications.

Research interest

1.Dataset Distillation

2.Unsupervised Domain Adaptation

3.Interdisciplinary Collaboration

News

2025/07/24 – Our paper has been selected as ICCV 2025 Highlight (<3.0%)! [Project]