Qinghe Liu
3D Computer Vision & Deep Learning Student Researcher | PhD/MPhil Applicant
I am Qinghe Liu, a July 2024 graduate from Northwest Agriculture and Forestry University with a Bachelor of Engineering in Computer Science and Technology (GPA: 3.79/4.0, Excellent Undergraduate Thesis). I am deeply passionate about 3D point cloud deep learning, particularly developing efficient and robust algorithms for applications in areas like smart agriculture. I am currently seeking a PhD/MPhil position to contribute to cutting-edge research in this exciting field.
Key Highlights
Innovative Algorithm Design
Led the development of FSDNet, Point HorNet, and GPFEnet, novel deep learning models for point clouds, with work published in CEA and accepted at ICVR & IJCNN.
Extensive Project Experience
Deeply involved as a leader or core member in multiple research projects, covering the full pipeline from dataset creation to algorithm validation.
Strong Academic Record
Graduated with a GPA of 3.79/4.0 (90.64), Rank: 2/131, received the National Scholarship, and was awarded for an Excellent Undergraduate Thesis.