I am in the second year of pursuing a master’s degree in software engineering at Chongqing University, whose advisor is Sheng Huang. I have systematically learned the basics of machine learning and deep learning since my undergraduate studies and have been studying the task of automated pavement distress classification. From 2021 to 2023, I have published one large pavement distress dataset, and four papers, including: one ACM MM paper, two T-ITS papers as the first or main author. Since September 2022, I have been working on medical image analysis research and have two preprints on Whole Slide Images (WSIs) classification under ICCV2023 review.

Research interest: high-resolution and fine-grained image classification, medical image classification, vision Transformer, weakly-supervised learning, self-supervised learning, multi-modal learning, and deep reinforcement learning.

I am applying for a PhD candidate of Computer Science

I am interested in learning about the latest developments in computer vision and natural language processing, as well as their practical applications. I am eager to learn more about these topics and conduct research in these areas.

Area of interest: medical image analysis, multi-modal learning, self-supervised learning, aerial images analysis, weakly-supervised learning, and more.