Remote Sensing
Learning rich representations from aerial, satellite and multispectral observations.
Research portfolio · 2026
Ph.D. researcher exploring how machines perceive remote sensing.
I am a Ph.D. student at Xi'an Jiaotong-Liverpool University and the University of Liverpool, advised by Dr. Lei Fan. I received an MRes in Computer Science from the University of Liverpool in 2023.
Open to collaboration and seeking a postdoctoral position in 2026/2027.
Get in touchResearch atlas
My work connects sensing, representation learning and scene understanding across 2D images and 3D point clouds.
Learning rich representations from aerial, satellite and multispectral observations.
Point cloud learning and fine-grained urban scene understanding.
Combining complementary sensors to build more robust perception systems.
Pixel-level and point-level reasoning for indoor, urban and environmental scenes.
Strategies that improve generalization across scarce and imbalanced data.
Modern architectures for reliable and explainable visual intelligence.
Selected work
Yuan Fang†, Qinfeng Zhu†, Yuanzhi Cai, Lei Fan † Equal contribution / co-first authors
Qinfeng Zhu, Lei Fan
Qinfeng Zhu, Yunxi Jiang, Lei Fan
Qinfeng Zhu, Lei Fan, Ningxin Weng
Qinfeng Zhu, Yunxi Jiang, Lei Fan
Qinfeng Zhu, Yuan Fang, Yuanzhi Cai, Cheng Chen, Lei Fan
Qinfeng Zhu, Jingjing Xiao, Lei Fan
Yuan Fang, Yuanzhi Cai, Jagannath Aryal, Qinfeng Zhu, Hong Huang, Cheng Zhang, Lei Fan
Yusen Chen, Qinfeng Zhu, Lei Fan
Qinfeng Zhu, Han Li, Liang He, Lei Fan
Qinfeng Zhu, Ningxin Weng, Lei Fan, Yuanzhi Cai
Qinfeng Zhu, Yuanzhi Cai, Yuan Fang, Yihan Yang, Cheng Chen, Lei Fan, Anh Nguyen
Qinfeng Zhu, Jiaze Cao, Yuanzhi Cai, Lei Fan
Qinfeng Zhu, Yuanzhi Cai, Lei Fan
Qinfeng Zhu, Yuan Fang, Lei Fan
Yang Zhao, Dufei Wang, Qinfeng Zhu, Lei Fan, Yuanfeng Bao
Research infrastructure
Curated benchmarks that bridge spectral sensing, dense annotation and practical scene understanding.
Explore dataset ↗
A large-scale, high-resolution terrestrial laser scanning dataset for accurate urban scene understanding.
Explore dataset ↗
A dedicated multispectral benchmark for semantic segmentation across diverse indoor scenes.
Latest signals
Recent publication milestones and dataset releases.
ClassWise-CRF has been accepted to Neural Networks 2026 (Top).
IndoorMS has been accepted to IEEE Sensors Journal.
WasteMS has been accepted to International Conference on Multimedia Modelling (MMM 2025, CCF-C).
Rethinking Scanning Strategies with Vision Mamba has been accepted to IEEE JSTARS 2024 (Top).
Samba has been accepted to Heliyon 2024.
Advancements in Point Cloud Data Augmentation for Deep Learning has been accepted to Pattern Recognition 2024 (Top).
Academic community
Contributing to rigorous and constructive evaluation across computer vision, machine learning and remote sensing.
Membership
Journal reviewer
Conference & workshop reviewer
International Conference on Learning Representations · Annual AAAI Conference on Artificial Intelligence · International Joint Conference on Artificial Intelligence · Machine Learning for Health · IEEE/CVF Winter Conference on Applications of Computer Vision · International Joint Conference on Neural Networks · IEEE International Symposium on Biomedical Imaging · IEEE Symposium on Computers & Informatics · International Conference on Artificial Intelligence and Human-Computer Interaction
Have an idea?
I am always open to research collaborations, thoughtful conversations and new opportunities.
zhuqinfeng1999@gmail.com Institutional · qinfeng.zhu21@student.xjtlu.edu.cn