Yingjin Li

Yingjin Li

MPhil student at HKUST(GZ), working on computer vision, multimodal learning, industrial anomaly detection, and diffusion models.

About

Hello, I am Yingjin Li, currently an MPhil student at The Hong Kong University of Science and Technology (Guangzhou). My research interests mainly include computer vision, multimodal learning, industrial anomaly detection, diffusion models, and vision-language learning.

I am particularly interested in connecting generative models and vision-language models with real-world applications such as industrial inspection, medical understanding, and intelligent product analysis. My work focuses not only on improving empirical performance, but also on building methods that are logically clear, practically meaningful, and reproducible.

Before joining HKUST(GZ), I received my bachelor’s degree in Data Science and Big Data Technology from Wuhan Textile University. During my undergraduate studies, I actively engaged in research and academic work, and received the National Scholarship.

Research Interests

  • Industrial Anomaly Detection
  • Diffusion Models
  • Computer Vision
  • Multimodal Learning
  • Vision-Language Models
  • Robust Visual Understanding

Education

  • MPhil, The Hong Kong University of Science and Technology (Guangzhou), 2025.09 - Present
  • B.Sc. in Data Science and Big Data Technology, Wuhan Textile University, 2021.09 - 2025.09

Selected Publications and Outputs

  • Fashion Image Retrieval Based on Multimodal Features Enhancement and Fusion, CASA 2024

Honors

  • National Scholarship

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