Fusion Intelligence Laboratory

About the Fusion Intelligence Laboratory

The Fusion Intelligence Laboratory is led by Dr. Xingchen Zhang at the University of Exeter. The lab aims to use machine intelligence and multi-source information fusion to benefit humanity.

People

PhD Students

Ning Wang
Ning Wang
Feier Shi
Feier Shi

Research Topics

  • Multimodal robot perception
  • RGB-Thermal image fusion and tracking
  • Ethical AI and pedestrian privacy
  • Human-centered computer vision

Group news

[10/2025] FIL graduate Qinqing Li got her degree with distinction! She was also awared the Computer Science Prizes for MSc students (Faculty Commendations - A, which is awared to students who have made a significant contribution to the faculty).

[10/2025] Dr. Yixiu Liang from Zhongshan Hospital, Fudan University visited our lab and gave a talk at the Computer Science Seminar. Dr. Liang’s visit is a part our Exeter-Fudan Fellowship and will strength the collaboration between Zhongshan Hospital and my lab.

[09/2025] Our paper “Brain tumor segmentation using multimodal MRI” has been accepted by the DIFA 2025 workshop (BMVC2025). This paper is resulted from my MSc student Qinqing Li’s final project.

[05/2025] FIL attended the ESE Research Showcase to present our robot dog (Code-E) and our research. It was a great pleasure to introduce my work to the President and Vice-Chancellor of the University of Exeter, Prof. Lisa Roberts, and other members of the University Council. Exeter News 1 (internal only). Exeter News 2 (internal only).

[09/2024] Welcome Zixian to join FIL as a PhD student! Before joining my lab, Zixian obtained his MSc degree in Applied Machine Learning (with distinction) from Imperial College London. Zixian is fully funded by an Exeter PhD studentship.

Selected Publications

2025

More effort is needed to protect pedestrian privacy in the era of AI
Privacy

NeurIPS (Position Paper Track), 2025

X. Zhang, Z. Zhao.

BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling
BGM

IJCAI, 2025

Y. Zhao, H. Wen, X. Zhang, M. Luo.

SelectMOT: Improving Data Association in Multiple Object Tracking via Quality-Aware Bounding Box Selection
SelectMOT

IEEE Sensors Jounral, 2025

H. Li, Z. Wang, W. Kong, X. Zhang*.

Brain tumor segmentation using multimodal MRI

DIFA 2025 Workshop, BMVC2025

Q. Li, Z. Zhao, X. Zhang*.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning
MultiTaskVIF

arXiv, 2025

Z. Zhao, A. Howes, X. Zhang*.

SSVIF: Self-Supervised Segmentation-Oriented Visible and Infrared Image Fusion
SSVIF

arXiv, 2025

Z. Zhao, X. Zhang*.

FusionCounting: Robust visible-infrared image fusion guided by crowd counting via multi-task learning
FusionCounting

arXiv, 2025

H. Li, X. Liu, W. Kong, X. Zhang*.