Rate My Professor Yunqi Lei

Professor Lei's research specialized in machine learning, computer vision, intelligent systems, computational theory, computer networks, and software. As a key member of the Computer Vision and Image Processing research team, he contributed to advancements in these areas. His teaching approach, characterized by rigor, practicality, seriousness, responsibility, integrity, and principles, earned high praise and produced graduates who have excelled across various industries and regions worldwide. Key publications include "Face recognition by decision fusion of two-dimensional linear discriminant methods" (2016), "SDM3d: shape decomposition of multiple geometric priors" (2021), "Crowd estimation using key-point matching with support vector regression" (2021), "DC-GNet: Deep Mesh Relation Capturing Graph Network for 3D Segmentation" (2021), and "A Deep Learning Approach to Mesh Segmentation" (2023). He delivered public lectures, such as "My 40 Years of University Life" at the Haiyun Famous Teacher Forum in 2019.