Qinfeng Zhu · Research portfolio

Qinfeng Zhu朱钦峰

From vision
to embodied
intelligence.

I am working on agentic robotics at Duke (Kunshan) University with Prof. Kaizhu Huang. My research is moving from understanding visual scenes to building agents that reason and act in the physical world.

Ph.D. student at the University of Liverpool and Xi'an Jiaotong-Liverpool University, advised by Dr. Lei Fan and Dr. Anh Nguyen. MRes in Computer Science, University of Liverpool, 2023.

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

Research internships
Embodied intelligence at Duke (Kunshan) University. — presentOpen to internship opportunities.

2027 · NEXT

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

An articulated silver robotic arm reaching toward a task object

01 / Agentic robotics

Intent, made physical.

Choose an object. Watch the arm reach, grasp and place it.

Click an object or run a grasp · drag to orbit

Illustrative kinematics · not a learned policyOpen explorer ↗

Embodied IntelligenceAgentic RoboticsWorld–Action ModelsVision–Language–ActionDexterous Manipulation

Research trajectory

Perception is the start.
Action is the frontier.

My earlier work asks how machines understand a scene. My current direction asks how that understanding can support reasoning, planning and useful physical action.

Explore the research trajectory ↗
01 / CURRENT WORKArticulated robotic arm reaching for a task object
Embodied intelligence

Agentic
robotics.

Connecting perception, reasoning and action through agents that interact with the physical world.

 02 / RESEARCH DIRECTIONA metallic kinetic apparatus illustrating the physical consequences of an action
WAM · VLA

Models that
lead to action.

Exploring world–action models and vision–language–action systems for grounded decisions.

 03 / RESEARCH DIRECTIONFive-finger robotic hand with articulated joints
Contact · coordination · control

Dexterous
manipulation.

Studying how embodied intelligence can translate into coordinated, precise hand–object interaction.

The foundation · computer vision

Learning to see,
before learning to act.

My published research in 3D, panoramic and multispectral perception provides the visual and geometric foundation for this next chapter.

3D scene understanding↗Panoramic perception↗Earth & multispectral vision↗

Selected work

Featured publications.

Selected work in computer vision: the perception and representation foundations of my move toward embodied intelligence.

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 welcome collaborations in embodied intelligence, agentic robotics and visual perception, as well as research internship opportunities.