Staff Profile
Dr Tong Xin
Lecturer in Data Science and AI
- Email: tong.xin@ncl.ac.uk
- Personal Website: https://research.ncl.ac.uk/deepcpath/
- Address: School of Computing, Urban Sciences Building, Newcastle University, 1 Science Square, Newcastle Helix, Newcastle upon Tyne, NE4 5TG
Background
Dr Tong Xin (pronunciation)
I am a lecturer in Data Science and AI with a focus on image processing using Deep Learning.
Brief CV
- 2021 - Present: Lecturer, the School of Computing, Newcastle University, UK.
- PhD in recognition of a thesis entitled "Accurate Real-Time Complex Cutting in Finite Element Modelling", Newcastle University, UK.
University Administrative Role
- Athena SWAN SAT (Self-assessment Team) Chair of the School of Computing
External Activities
- BBSRC Grant Peer Reviewer
- Peer Reviewer for IJCV (International Journal of Computer Vision), Neurocomputing.
- External Examiner for the MSc Artificial Intelligence programme of the University of Essex.
Research
Research Summary
My research background is originally in Computer Graphics, with specific interests in optimising the FEM (Finite Element Method) based systems of linear equations using matrices to achieve challenging accurate cutting of surfaces in real-time.
My current research interest is in the way in which Machine Learning, especially Deep Learning techniques, can be used to expand the application range of Computer Graphics and boost the solving speed of large-scale datasets. Specifically, practical applications of interest lie in Medical Imaging Processing, Remote Sensing Image Processing and Geometric Deep Learning.
Current Research and Active Funding
- [2025 - 2028] NIHR Newcastle BRC [Co-I] | £114k | Digital and Computational Pathology
- [2025 - 2026] UKRI Newcastle Impact Accelerator Award [Co-I] | £88,902 | AI-powered Digital Pathology to Predict Early Progression of Mantle Cell Lymphoma, Using Multi-modal Data
- [2024 - 2028] PhD Studentship [PI] | £92,288 | NIHR Newcastle BRC | Augmenting the Diagnosis of Lymphoma in Older Patients through Data-efficient Multimodal Deep Learning
Archived Projects
- [2024] Innovate UK AKT [PI] | £26,278 | Newcastle University & Nissan Motor Manufacturing UK Ltd
Teaching
Postgraduate Taught Module
Publications
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Articles
- Zhu Y, Li M, Ye Q, Wang S, Xin T, Zhang H. RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation. Artificial Intelligence in Medicine 2025, 167, 103197.
- Cheng Z, Zhu Y, Wang S, Xin T, Zhang H. Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation. ACM Transactions on Intelligent Systems and Technology 2025, epub ahead of print.
- Suresh MD, Xin T, Cook SM, Evans DM. Bugs and bytes: Entomological biomonitoring through the integration of deep learning and molecular analysis for merged community and network analysis. Agricultural and Forest Entomology 2025, 27(1), 35-49.
- Zhu Y, Wang S, Xin T, Zhang Z, Zhang H. Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement 2024, 73, 5016312.
- Cheng Z, Wang S, Xin T, Zhou T, Zhang H, Shao L. Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Transactions on Medical Imaging 2024, 43(6), 2202-2214.
- Akbulut O, McLaughlin L, Xin T, Forshaw M, Holliman NS. Visualizing ordered bivariate data on node-link diagrams. Visual Informatics 2023, 7(3), 22-36.
- Wang Z, Xin T, Wang S, Zhang H. Depth-embedded instance segmentation network for urban scene parsing. Journal of Intelligent and Fuzzy Systems 2022, 42(3), 1269-1279.
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Book Chapter
- Cuff JP, Deivarajan Suresh M, Dopson MEG, Hawthorne BSJ, Howells T, Kitson JJN, Miller KA, Xin T, Evans DM. A roadmap for biomonitoring in the 21st century: merging methods into metrics via ecological networks. In: David A. Bohan, Alex J. Dumbrell, ed. Advances in Ecological Research. Amsterdam: Elsevier, 2023, pp.1-34.
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Conference Proceedings (inc. Abstracts)
- Cheng Z, Wang S, Xin T, Zhang H. Frequency-aware Adaptive Filtering Network for Few-Shot Medical Image Segmentation. In: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2024, Lisbon: IEEE Computer Society.
- Zhu Y, Wang S, Xin T, Zhang H. Few-shot Medical image segmentation via a region-enhanced prototypical transformer. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. 2024, Marrakesh, Morocco: Springer.
- Wang Z, Zhang X, Wang S, Xin T, Zhang H, Lu J. Multi-scale Spatial Transformer Network For Lidar-camera 3D Object Detection. In: 2021 International Joint Conference on Neural Networks (IJCNN). 2021, IEEE. In Preparation.
- Xin T, Marris P, Mihut A, Ushaw G, Morgan G. Accurate real-time complex cutting in finite element modeling. In: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018). 2018, Madeira, Portugal: SciTePress.