Fusion Intelligence Laboratory

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

Research Topics

The research in FIL covers following topics:

Multimodal Learning and Image Fusion
Human-Centered Computer Vision
Embodied Intelligence
Trustworthy and Ethical AI
AI for Healthcare

People

PI and Director

Xingchen Zhang

PhD Students

Zixian Zhao

Funded by Exeter PhD studentship

Ning Wang

Funded by CSC PhD studentship

Quangao Liu

Funded by CSC PhD studentship

Yanlong Meng

Funded QUEX Joint PhD studentship

Lab News

[12/2025] A BSc student (Aditya Bhardwaj) from our FIL has secured a position as a Data Scientist and AI Engineer at Lloyds Banking Group in London!

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

[12/2025] Dr. Xingchen Zhang was awarded a Royal Society International Exchanges grant (with NSFC) as the PI. This grant will enable FIL to collaborate with East China Normal University.

[12/2025] Dr. Xingchen Zhang was awared an Exeter–Université Paris-Saclay Seed Fund Grant as the PI. This Seed Fund Grant will be helpful for the collaboration between our FIL and Université Paris-Saclay.

[11/2025] Prof. Jiande Sun from Shandong Normal University visited our lab.

[10/2025] FIL graudates Qinqing Li and Heegon Kim got their MSc degrees with distinction! Additionally, Qinqing 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.

[10/2025] Dr. Xingchen Zhang’s new book, Intelligence of Fusion: Deep Learning-based Image Fusion, is now freely available for download. Written in Chinese, it 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 to 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 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).

[05/2025] Dr. Xingchen Zhang was awarded an Exeter-Fudan Fellowship to strengthen the collaboration between FIL and Zhongshan Hospital, Fudan University. Only three academics at the University of Exeter recieved this fellowship this year.

[05/2025] Our paper ‘‘SelectMOT: Improving Data Association in Multiple Object Tracking via Quality-Aware Bounding Box Selection’’ has been accepted by IEEE Sensors Journal. This is a collaborative paper with Yanshan University. Congratulations to all co-authors! The video demo can be found in the ‘Research’ section.

[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 from 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.