Urban point cloudMove pointer · click to queryInteractive
Semantic probe Move to reveal local classes · click to expand the neighbourhood Building Vegetation Road Vehicle

Research portfolio · Suzhou, China · 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.

Explore the atlas Publications Download CVJuly 2026
inLinkedIn GScholar GHGitHub iDORCID
2026

Research internships
Open to internship opportunities.

2027

After graduation
Seeking full-time roles in academia or industry.

Scroll to research
Remote Sensing✦Panoramic Vision✦Multimodal AI✦3D Computer Vision✦Scene Understanding✦

Research atlas

Understanding the world,
pixel by point.

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

Open the interactive atlas ↗
01Satellite observing coastal terrain from orbit
Earth observation

Remote Sensing

Learning rich representations from aerial, satellite and multispectral observations.

 02Luminous point-cloud reconstruction of an urban plaza
Spatial intelligence

3D Computer Vision

Point-cloud learning and fine-grained urban scene understanding.

 03A 360-degree panorama wrapped around a luminous sphere
Sphere-native perception

Panoramic Vision

Geometry-aware representation learning for distortion-robust, rotation-consistent 360° scene understanding.

 04Multiple sensing modalities converging into one representation
Sensor synergy

Multimodal Fusion

Combining complementary sensors to build more robust perception systems.

 05Aerial city represented as precise semantic regions
Dense prediction

Semantic Segmentation

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

 06Controlled transformations of a point-cloud object
Robust learning

Data Augmentation

Strategies that improve generalization across scarce and imbalanced data.

 07Layered neural architecture with flowing activations
Neural systems

Deep Learning

Modern architectures for reliable and explainable visual intelligence.

Selected work

Featured publications.

A curated selection spanning panoramic perception, point-cloud understanding, remote sensing and multispectral learning.

Search all publications ↗

Complete record

Additional publications.

9 further papers · 16 publications shown on this page

  1. 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

    Springer ↗PDF ↗
  2. arXiv
    arXiv ↗
  3. Digital Signal Processing
    Journal ↗DOI ↗
  4. MMM
    DOI ↗GitHub ↗
  5. IEEE BDAI
    DOI ↗arXiv ↗
  6. 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

    DOI ↗GitHub ↗
  7. ICVISP
    arXiv ↗
  8. SSIP
    arXiv ↗GitHub ↗
  9. Buildings
    DOI ↗

All 16 publications are visible above. The dedicated library adds year, venue and topic filters, direct links and one-click BibTeX copying.

Open searchable library ↗

Research infrastructure

Datasets built for
real-world perception.

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

View all projects ↗

Latest signals

Research
news.

Recent publication milestones and dataset releases. The complete timeline lives in the Research Atlas.

View timeline ↗

SemanticUrban has been accepted by Expert Systems with Applications.

SwinMamba has been accepted by Digital Signal Processing.

ClassWise-CRF has been accepted by Neural Networks 2026.

IndoorMS has been accepted by IEEE Sensors Journal.

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 TNNLS · TCSVT · T-ITSNeural networks, video technology and intelligent transportation
  • ISPRS JPRS · Scientific DataPhotogrammetry, remote sensing and research datasets
  • PR · NN · ESWA · EAAIComputer vision and applied 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 · 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.