Research portfolio · 2026

Qinfeng Zhu朱钦峰

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.

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Research atlas

Understanding the world,
pixel by point.

My work connects sensing, representation learning and scene understanding across 2D images and 3D point clouds.

01

Remote Sensing

Learning rich representations from aerial, satellite and multispectral observations.

02

3D Computer Vision

Point cloud learning and fine-grained urban scene understanding.

03

Multimodal Fusion

Combining complementary sensors to build more robust perception systems.

04

Semantic Segmentation

Pixel-level and point-level reasoning for indoor, urban and environmental scenes.

05

Data Augmentation

Strategies that improve generalization across scarce and imbalanced data.

06

Deep Learning

Modern architectures for reliable and explainable visual intelligence.

Selected work

Featured publications.

View Google Scholar
Year / VenuePublicationLinks
CGI · LNCS

A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images.

Yuan Fang, Yuanzhi Cai, Jagannath Aryal, Qinfeng Zhu, Hong Huang, Cheng Zhang, Lei Fan

arXiv

From Landslide Conditioning Factors to Satellite Embeddings: Evaluating the Utilisation of Google AlphaEarth for Landslide Susceptibility Mapping using Deep Learning.

Yusen Chen, Qinfeng Zhu, Lei Fan

Digital Signal Processing

SwinMamba: A hybrid local-global mamba framework for enhancing semantic segmentation of remotely sensed images.

Qinfeng Zhu, Han Li, Liang He, Lei Fan

MMM

Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Waste.

Qinfeng Zhu, Ningxin Weng, Lei Fan, Yuanzhi Cai

Heliyon

Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model.

Qinfeng Zhu, Yuanzhi Cai, Yuan Fang, Yihan Yang, Cheng Chen, Lei Fan, Anh Nguyen

ICVISP

Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy.

Qinfeng Zhu, Jiaze Cao, Yuanzhi Cai, Lei Fan

SSIP

Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images.

Qinfeng Zhu, Yuanzhi Cai, Lei Fan

IEEE BDAI

MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery.

Qinfeng Zhu, Yuan Fang, Lei Fan

Buildings

Algorithm-Driven Extraction of Point Cloud Data Representing Bottom Flanges of Beams in a Complex Steel Frame Structure for Deformation Measurement.

Yang Zhao, Dufei Wang, Qinfeng Zhu, Lei Fan, Yuanfeng Bao

Research infrastructure

Datasets built for
real-world perception.

Curated benchmarks that bridge spectral sensing, dense annotation and practical scene understanding.

Latest signals

Research
news.

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

Service &
peer review.

Contributing to rigorous and constructive evaluation across computer vision, machine learning and remote sensing.

Membership

  • Senior MemberISAC
  • MemberIEEE

Journal reviewer

  • IEEE TNNLSTransactions on Neural Networks and Learning Systems
  • IEEE TCSVTTransactions on Circuits and Systems for Video Technology
  • IEEE T-ITSTransactions on Intelligent Transportation Systems
  • ISPRSJournal of Photogrammetry and Remote Sensing
  • Scientific DataNature
  • PR · NN · ESWA · EAAIPattern Recognition, Neural Networks, Expert Systems with Applications, Engineering Applications of Artificial Intelligence
  • Additional journalsNeurocomputing, IEEE Sensors Journal, IEEE Access, Journal of Supercomputing, Complex & Intelligent Systems, Computers & Graphics, Applied Intelligence

Conference & workshop reviewer

ICLRAAAIIJCAINeurIPS-ML4HWACVIJCNNISBIISCIAI-HCI

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?

Let's explore it
together.

I am always open to research collaborations, thoughtful conversations and new opportunities.