Mingyuan Yang
Graduate researcher specializing in Computer Vision and SLAM, with full-pipeline experience from algorithm design to edge deployment on NVIDIA Jetson. Passionate about visualizing academic work through modern web technology.
Education
South China University of Technology
Master of Engineering · Computer Science and TechnologyGPA 3.8 / 4.0
- Research focus: Underwater object detection & multi-object tracking
- Lab: Computer Vision & Intelligent Systems Lab
South China University of Technology
Bachelor of Engineering · Software EngineeringGPA 3.7 / 4.0
- Outstanding Graduation Thesis
- National Encouragement Scholarship
Publications & Patents
Lightweight Fish Re-Identification via Part-Aware Feature Fusion for Aquaculture IoT Systems
Mingyuan Yang, Wei Chen, Haoran Liu, Jianfeng Zhang
IEEE Internet of Things Journal, 2025
We propose a lightweight fish re-identification method combining part-aware feature fusion, achieving 20+ FPS real-time inference on Jetson Nano with 5.2% mAP improvement over baselines.
一种面向嵌入式端的 YOLOv11 通道剪枝与量化压缩方法
杨明远, 陈伟, 刘浩然
China National Intellectual Property Administration, 2024(CN202410000001.X)
A systematic compression scheme for YOLOv11 via structured channel pruning and INT8 quantization, reducing model size by 60% and achieving 3.7× inference speedup for embedded real-time deployment.
Featured Projects
View all →Underwater VIO-SLAM Localization System
Tightly-coupled Visual-Inertial Odometry prototype fusing IMU and monocular camera