Fig.1 A person sitting on the grass. (a) Tree top, (b) Forest

Yang Yang

Hi, I am Yang Yang (杨杨), a Computer Technology MS student at School of Computer Science (School of Artificial Intelligence), South-Central Minzu University, where I am fortunate to be advised by Dr. Jianlin Zhu (朱剑林). I received my B.S. degree in Network Engineering from South-Central Minzu University in 2024.

My research focuses on Multimodal Medical Image Analysis and Computer Vision. I am particularly interested in developing innovative deep learning methodologies for multimodal medical image analysis and healthcare technology applications.

Fig.1 A person sitting on the grass. (a) Tree top, (b) Forest

Fig.2 An overview of my research on Multimodal Medical Image Analysis and Computer Vision. Medical imaging analysis covers various tasks, including tumor detection, tumor segmentation, organ and multiorgan segmentation, image registration, image reconstruction, disease diagnosis and radiomics analysis.

News

[May. 2025] 🎉 Completed my second journal paper!

[May. 2025] 🎉 Submitted my first journal paper to The Visual Computer (TVC)!

[Mar. 2025] 🎉 The first conference paper is accepted by CGI2024!

[Nov. 2024] 👩‍💻 Attended CNCC2024 in Hengdian, Zhejiang, engaging with leading researchers in computer science and AI!

[Sep. 2024] 🎓 Started my MS studies at South-Central Minzu University!

[Jun. 2024] 🎉 Graduated with B.S. in Network Engineering!

Publications

An Improved YOLOv8-Based Rice Pest and Disease Detection Method

Yang Yang, Jianlin Zhu, Bo Yang, Xiao Zhang, Jin Huang

Computer Graphics International Conference (CGI), 2024

[paper] [code] [dataset] [bibtex]

We propose an improved YOLOv8-based method for accurate detection of rice pests and diseases.

Projects

Rice Pest and Disease Detection System

Yang Yang, Jianlin Zhu, Bo Yang, Xiao Zhang, Jin Huang

Online Project, 2024

[demo]

A simple and effective method for rice pest and disease detection.

SimpleTex-OCR TypeScript Version

Yang Yang

Open Source Project, 2025

[code] [download]

A modern LaTeX formula recognition desktop application based on Electron+React+TypeScript. It supports screenshot recognition, file upload, multi-format copy and export.

Talks

An Improved YOLOv8-Based Rice Pest and Disease Detection Method

[video] [slide]

This talk presents an improved YOLOv8-based rice pest and disease detection method.

Education

2024 - 2027 (Expected)

Master of Computer Technology

South-Central Minzu University

Supervisor: Dr. Jianlin Zhu (朱剑林)

2020 - 2024 (Completed)

Bachelor of Network Engineering

South-Central Minzu University