Fusion Intelligence Laboratory

The Fusion Intelligence Laboratory (FIL) is led by Dr. Xingchen Zhang at the Department of Computer Science, University of Exeter. FIL develops machine intelligence and multi-source information fusion technologies for human benefit, with research centred on multimodal learning, embodied intelligence, and human-centered AI.

Our research spans multimodal learning and information fusion, computer vision, robotics and embodied intelligence, trustworthy and responsible AI, and AI for healthcare. Since its establishment in 2024, FIL has grown into an active research group with PhD students, research collaborators, and a portfolio of funded projects. Our work has received funding and support from various sources, including the Royal Society, the European Union’s Marie Skłodowska-Curie Actions (MSCA), NVIDIA, UKRI AI Research Resource (AIRR), the University of Exeter’s global partnership funding, and joint PhD studentships with the University of Queensland and Université Paris-Saclay.

Building on Dr Zhang’s experience at Imperial College London, FIL investigates how intelligent systems can integrate heterogeneous information to perceive, understand, and act reliably in complex real-world environments. We aim to develop robust, trustworthy, and useful AI systems for applications in robotics, healthcare, and other real-world domains. We welcome motivated students and collaborators who share this vision.

Lab Logo

Research Topics

The research in FIL covers following topics:
  • Multimodal Learning and Image Fusion
  • Robotics and Embodied Intelligence
  • Human-Centered Computer Vision
  • Trustworthy and Responsible AI
  • AI for Healthcare

People

PI and Director

PhD Students

Zixian Zhao
Zixian Zhao
Funded by Exeter PhD studentship
2024-
Ning Wang
Ning Wang
Funded by CSC PhD studentship
2025-
Quangao Liu
Quangao Liu
Funded by CSC PhD studentship
2025-
Yanlong Meng
Yanlong Meng
Funded by UQEX Joint PhD studentship
2025-
Yuan Gap
Yuan Gao
Funded by CSC PhD studentship
2026-
Zhenyue
Zhenyue Gu
Funded by Exeter-Paris-Saclay Joint PhD studentship
2026-

Lab News

[09/2026] Dr. Xingchen Zhang has been elevated to IEEE Senior Member.

[09/2026] Welcome Zhenyue and Yuan to join FIL as PhD students!

[07/2026] A candidate has been awarded an University of Exeter - Paris-Saclay PhD scholarship and will join FIL later this year.

[06/2026] One undergraduate student from our lab has been awarded the Faculty Commendation A prize to recognise his contribution to the faculty.

[06/2026] Our paper “MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning” has been accepted by IEEE Transactions on Image Processing. Congratulations to Zixian!

[06/2026] Dr. Xingchen Zhang was awarded an UKRI AIRR Gateway project as the PI. This will give our lab access to the UK’s fastest artificial intelligence supercomputers (Isambard-AI).

[05/2026] A candidate has been awarded an Exeter-CSC PhD scholarship and will join FIL in September.

[05/2026] Our paper “SSVIF: Self-Supervised Segmentation-Oriented Visible and Infrared Image Fusion” has been accepted by IEEE Transactions on Image Processing. Congratulations to Zixian!

[05/2026] Congratulations to Zixian Zhao, the first PhD student at FIL, on receiving the Dean of Postgraduate Research’s Commendation for Excellence in Academic Citizenship.

[05/2026] Dr. Xingchen Zhang has joined the DSIT/UKRI AIRR User Advisory Group (UAG) as a core member.

[03/2026] Dr. Xingchen Zhang was awarded an NVIDIA Academic Grant as PI.

[02/2026] A Marie Sklodowska-Curie Postdoctoral Fellowship application from FIL has been successfully awarded.

[01/2026] Our workshop proposal on pedestrian behavior prediction has been accepted by ICRA2026, which will be held in Vienna, Austria, on June 1-5, 2026.

[01/2026] Welcome Yanlong to join FIL as a PhD student! Yanlong is funded by a UQEX joint PhD studentship.

[12/2025] Dr. Xingchen Zhang was awarded an UKRI AIRR Gateway project as the PI. This will give our lab access to one of the UK’s fastest artificial intelligence supercomputers (Dawn).

[12/2025] Dr. Xingchen Zhang was awarded an Exeter–Université Paris-Saclay Seed Fund Grant as the PI.

[10/2025] FIL graduates Qinqing Li and Heegon Kim got their MSc degrees with distinction! Additionally, Qinqing was also awarded the Computer Science Prizes for MSc students (Faculty Commendations - A, which is awarded to students who have made a significant contribution to the faculty).

[10/2025] Dr. Xingchen Zhang’s new book, Intelligence of Fusion: Deep Learning-based Image Fusion, is now freely available for download. This book provides a systematic overview of deep learning-based image fusion methods and applications.

[09/2025] Our paper “More effort is needed to protect pedestrian privacy in the era of AI” has been accepted by NeurIPS2025 as an Oral paper (Position Paper Track, top 1.3%). [PDF]

[09/2025] Welcome Quangao to join FIL as a PhD student! Quangao received his Master degree from Chinese Academy of Science before joining FIL.

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

[05/2025] FIL members 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).

[05/2025] Dr. Xingchen Zhang was awarded an Exeter-Fudan Fellowship to strengthen the collaboration between FIL and Zhongshan Hospital, Fudan University.

[04/2025] Our paper “BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling” has been accepted by IJCAI2025. This is a collaborative paper with colleagues at the University of Exeter and the University of Warwick. Congratulations to all co-authors!

[02/2025] Dr. Xingchen Zhang was awarded a Royal Society Research Grant as the PI. This grant will support FIL to conduct research in Embodied Intelligence.

[01/2025] Welcome Ning to join FIL as a PhD student!

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

[07/2024] Our paper “Predicting Spatio-temporal Traffic Flow: A Comprehensive End-to-end Approach from Surveillance Cameras “ has been accepted by Transportmetrica B: Transport Dynamics. This is a collaborative paper with the Transport Systems & Logistics Lab and Personal Robotics Lab at Imperial College London.

[06/2024] Our paper “3PFS: Protecting pedestrian privacy through face swapping” has been accepted by IEEE Transactions on Intelligent Transportation Systems. The video demo can be found in the ‘Research’ section.

[04/2024] Dr. Xingchen Zhang joined the University of Exeter as a Senior Lecturer and established the Fusion Intelligence Laboratory (FIL). The lab aims to use machine intelligence and multi-source information fusion to benefit humanity.

Selected Publications

2026

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

IEEE Transactions on Image Processing, 2026

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

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

IEEE Transactions on Image Processing, 2026

Z. Zhao, X. Zhang*.

2025

Intelligence of Fusion: Deep Learning-based Image Fusion
Book

The first book to systematically introduce deep learning-based image fusion.

X. Zhang

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

NeurIPS (Position Paper Track, Oral paper), 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.

Brain tumor segmentation using multimodal MRI
BMVC2025

DIFA 2025 Workshop, BMVC2025

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

Funding and Support

  • Royal Society Research Grant (PI)
  • Marie Skłodowska-Curie Postdoctoral Fellowship (Supervisor and Host)
  • NVIDIA Academic Grant (PI)
  • UKRI AIRR Gateway Project (PI), 10000 GPU hours for Isambard-AI at the University of Bristol
  • UKRI AIRR Gateway Project (PI), 10000 GPU hours for Dawn at the University of Cambridge
  • Exeter-Fudan Fellowship (PI)
  • Exeter-Université Paris-Saclay Seed Fund Grant (PI)
  • Exeter - Paris-Saclay PhD scholarship (Supervisor)
  • UQEX Joint PhD Studentship (Supervisor)
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Contact

Address: Kathleen Booth Building, Streatham Campus, EX4 4RN, Exeter, UK

Email: x (dot) zhang12 (at) exeter (dot) ac (dot) uk