Dr Zeyu Fu
Lecturer
Computer Science
I am a Lecturer (Assistant Professor) at the Department of Computer Science, University of Exeter, where I lead the Multimodal Intelligence Lab. Our main research interest lies in Multimodal AI and its applications across online safety, healthcare, and the environment to help develop a greener, healthier, and fairer society underpinned by UoE’s 2030 strategy.
Before that, I was a postdoctoral researcher at the Department of Engineering Science, University of Oxford, and was a member of the Oxford Biomedical Image Analysis (BioMedIA) group, advised by Prof Alison Noble and Dr Michael Suttie. I worked on an NIH-funded project, which is in conjunction with the Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD), to develop a fully automated, objective evaluation of facial features associated with FASD, utilizing 3D surface modelling, deep learning and shape analysis. I also worked on an ERC-funded project named Perception Ultrasound by Learning Sonographic Experience (PULSE), which aims to develop multi-modal machine learning and computer vision systems that can model the sonographer’s expertise to reduce the need for highly trained ultrasound operators.
I obtained a PhD degree in signal processing and machine learning at the School of Engineering, Newcastle University, and was a member of Signal Processing and AI research group, advised by Prof Jonathon Chambers and Dr Mohsen Naqvi. I worked on a DSTL & EPSRC-funded project ‘Signal Processing Solutions for the Networked Battlespace’ and was part of the LSSCN Consortium of University Defence Research Collaboration (UDRC), where I developed novel data association algorithms for multiple human tracking in video.
Highly self-motivated UG/MSc/PhD students, research fellows, and visiting students/scholars are welcome to join my team. Please drop me an email along with your CV and research plan if you are interested in working with me.
News
- [Aug 2026] A paper, Localize-Then-Decide Guarantees for LLM Judgments, has been accepted to EMNLP 2026 Findings. Congrats to all co-authors!
- [Aug 2026] A paper, Generalist–specialist transfer learning for cross-city spatial generalization in pluvial flood prediction, has been accepted to Water Research. Congrats to Zhufeng and all co-authors!
- [July 2026] A paper (CLARA: Clip-Level Multimodal Alignment with VLM-Derived Rationales for Hateful Video Detection) has been accepted to ACM MM 2026. Congrats to Yuchen and all co-authors!
- [July 2026] A paper, ReGround-Surg: Reliability-Guided Anchor Grounding for Referring Surgical Video Segmentation, has been accepted to PRCV 2026 (Oral Presentation, 2.8%). Congrats to Jiaxin (UG researcher) and all co-authors!
- [June 2026] A main paper (CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification) and a workshop paper have been accepted to MICCAI 2026. Congrats to all co-authors!
- [May 2026] Congrats to Shuonan and the team for one paper, Reasoning-Aware Multimodal Fusion for Hateful Video Detection, getting accepted to Transactions on Machine Learning Research (TMLR).
- [Apr 2026] A paper (Probing 3D Anomalies via Multi-View Registration and Dual-Residual Analysis) has been accepted to Neurocomputing. Congrats to Yuxing and all co-authors!
- [Mar 2026] A paper (Cross-Modal Progressive Modeling for Neuro-Visual Representation Learning) has been accepted to Neurocomputing. Congrats to Yueming and all co-authors!
- [Mar 2026] Two papers have been accepted to IGARSS 2026. Congrats to Selorm, Zishu and all co-authors!
- [Feb 2026] Two main papers (Confusion-Aware Spectral Regularizer for Long-Tailed Recognition (Oral) and Omni-Fake: a unified dataset for multimodal deepfake detection), along with a findings paper (MReactor: Offline Multiple Appropriate Facial Reaction Generation), have been accepted to CVPR 2026. Congrats to Tianxiao (UG researcher) and all co-authors!
- [Feb 2026] Congrats to Faezeh and the team for a paper about Concept-Aware Radiology Report Generation, getting accepted in the EACL 2026 SRW.
- [Jan 2026] Congrats to Shuaiyu, Shuonan and the team for two papers about SAM-based marine pollution detection and training-free hateful video detection, getting accepted in the ICASSP 2026.
- [Jan 2026] Congrats to Qiyue, Tailin and the team for a paper, MultiHateLoc: Towards Temporal Localisation of Multimodal Hate Content in Online Videos, getting accepted in ACM on Web Conference 2026.
- [Jan 2026] Congrats to Shuaiyu and the team for a paper, Enhancing Remote Sensing Change Detection via Masked Edge Reconstruction, getting accepted in the WACV 2026 CV4EO Workshop.
- [Oct 2025] Congrats to Zhufeng and the team for a paper, Discriminator-Guided Generative Adversarial Networks for Urban Flood Prediction, getting accepted in the Water Resources Research.
- [Sep 2025] Congrats to Shuaiyu and the team for a paper, Enhancing Marine Pollution Detection in Remote Sensing via Self-Supervised Boundary Awareness, getting accepted in the BMVC 2025 MVEO Workshop.
- [Aug 2025] Big congrats to Fu Wang for passing his PhD viva with minor corrections. Well done, Dr Fu Wang!
- [Aug 2025] Congrats to Ruby (UG) and the team for a paper, Integrating Semantic, Sentiment, and Object-level Cues for Multimodal Video-based Fake News Detection, getting accepted in ACMMM 2025 Workshop.
- [Aug 2025] Congrats to Yuchen and the team for a paper, DeHate: A Holistic Hateful Video Dataset for Explicit and Implicit Hate Detection, getting accepted in ACMMM 2025 Dataset Track.
- [Aug 2025] Congrats to Shuonan (UG) and the team for a paper, Revealing Temporal Label Noise in Multimodal Hateful Video Classification, getting accepted in ACMMM 2025 Workshop.
- [July 2025] Congrats to Jiangbei and the team for a paper, Multimodal Hate Detection Using Dual-Stream Graph Neural Networks, getting accepted in BMVC2025.
- [July 2025] Congrats to Snehil and the team for a paper, PySimPace v2.0: An Easy-to-Use Simulation Tool with Machine Learning Pipelines for Realistic MRI Motion Artifact Generation, being accepted to the ACMMM 2025 Open Source Track and for receiving a US$1,000 travel grant!
- [July 2025] Congrats to Zhufeng and the team for a paper, Assessment of Rainfall-Driven Urban Surface Water Flood Hazards Using Convolutional Neural Networks, getting accepted in the Journal of Flood Risk Management.
- [Jun 2025] Congrats to Ming and the team for a paper, Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation, getting accepted in MICCAI 2025. (Oral Presentation)
- [Jun 2025] Congrats to Shuaiyu and the team for the full version of OSDMamba getting accepted in IEEE Geoscience and Remote Sensing Letters.