Professor Xianghua Xie

Professor

Computer Science

+44 (0) 1792 602916

x.xie@swansea.ac.uk

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0002-2701-8660

Google Scholar

ResearcherID

About

Professor Xianghua Xie is currently leading a research team on Computer Vision and Machine Learning (http://csvision.swan.ac.uk) in the Department of Computer Science, Swansea University. He was a recipient of an RCUK Academic Fellowship (tenure-track research focused lectureship) between September 2007 and March 2012. He was appointed as a Senior Lecturer from October 2012, then an Associate Professor in April 2013, and a full Professor from March 2019. Prior to his position at Swansea, He was a Research Associate at the Computer Vision Group, Department of Computer Science, University of Bristol, where he completed both his PhD (2006) and MSc (2002) degrees.

Professor Xie has strong research interests in the areas of Pattern Recognition and Machine Intelligence and their applications to real-world problems. He has been an investigator on several research projects funded by external bodies, such as EPSRC, Leverhulme, NISCHR, and WORD. Among his research works, those of significant importance include detecting abnormal patterns in complex visual and medical data, assisted diagnosis using automated image analysis, fully automated volumetric image segmentation, registration, and motion analysis, machine understanding of human action, efficient deep learning, and deep learning on irregular domains. By 2020, he has published over 150 fully refereed research publications and (co-)edited several conference proceedings. He is an associate editor of IET Computer Vision and an editorial member of a number of other international journals and has chaired and co-chaired several international conferences, e.g. BMVC2015 and BMVC2019.

More information can be found from his group website: http://csvision.swan.ac.uk

Areas Of Expertise

Computer Vision
Image Processing
Pattern Recognition
Machine Learning
Big Data
Medical Image Understanding
Medical Imaging
Bioinformatics

Career Highlights

Teaching Interests

Computer Vision
Machine Learning
Deep Learning

Publications

Research Highlights

Bahade, S., Edwards, M., & Xie, X. (2023). Cascaded Graph Convolution Approach for Nuclei Detection in Histopathology Images. Journal of Image and Graphics, 11(1), 15-20.
https://doi.org/10.18178/joig.11.1.15-20, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63059
http://dx.doi.org/10.18178/joig.11.1.15-20
Lakshmanan, K., Roach, M., Giannetti, C., Bhoite, S., George, D., Mortensen, T., Manduhu, M., Heravi, B., Kariyawasam, S., & Xie, X. (2023). A Robust Vehicle Detection Model for LiDAR Sensor Using Simulation Data and Transfer Learning Methods. AI, 4(2), 461-481.
https://doi.org/10.3390/ai4020025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63515
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.
https://doi.org/10.1145/3596454.3597185, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63777
http://dx.doi.org/10.1145/3596454.3597185
Liu, D., Wu, L., Li, B., Boussaid, F., Bennamoun, M., Xie, X., Liang, C., & Wu, Y. (2024). Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense. Pattern Recognition, 145, 109902
https://doi.org/10.1016/j.patcog.2023.109902, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64108
http://dx.doi.org/10.1016/j.patcog.2023.109902
Wu, Y., Liu, L., Wang, Y., Zhang, Z., Boussaid, F., Bennamoun, M., & Xie, X. (2023). Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Transactions on Image Processing, 32, 4800-4811.
https://doi.org/10.1109/tip.2023.3305817, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64124
http://dx.doi.org/10.1109/tip.2023.3305817

All Research

Journal Articles

MILNE, A. & Xie, X. (2024). Steel surface roughness parameter prediction from laser reflection data using machine learning models. The International Journal of Advanced Manufacturing Technology, 132(9-10), 4645-4662.
https://doi.org/10.1007/s00170-024-13543-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66048
Xie, X., Hu, C., Ren, H., & Deng, J. (2024). A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing, 573, 127225
https://doi.org/10.1016/j.neucom.2023.127225, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65451
Siris, A., Jiao, J., Tam, G., Xie, X., & Lau, R. (2024). Inferring Attention Shifts for Salient Instance Ranking. International Journal of Computer Vision, 132(3), 964-986.
https://doi.org/10.1007/s11263-023-01906-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64287
Ren, H., Deng, J., Xie, X., Ma, X., & Wang, Y. (2024). FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing, 569
https://doi.org/10.1016/j.neucom.2023.127126, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65267
Eshkiki, H., Mora, B., & Xie, X. (2024). Fully Connected Networks on a Diet With the Mediterranean Matrix Multiplication. IEEE Transactions on Neural Networks and Learning Systems, 35(1), 634-647.
https://doi.org/10.1109/tnnls.2022.3176197, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60038
Liu, D., Wu, L., Li, B., Boussaid, F., Bennamoun, M., Xie, X., Liang, C., & Wu, Y. (2024). Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense. Pattern Recognition, 145, 109902
https://doi.org/10.1016/j.patcog.2023.109902, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64108
http://dx.doi.org/10.1016/j.patcog.2023.109902
Wu, Y., Liu, L., Wang, Y., Zhang, Z., Boussaid, F., Bennamoun, M., & Xie, X. (2023). Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Transactions on Image Processing, 32, 4800-4811.
https://doi.org/10.1109/tip.2023.3305817, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64124
http://dx.doi.org/10.1109/tip.2023.3305817
Lakshmanan, K., Roach, M., Giannetti, C., Bhoite, S., George, D., Mortensen, T., Manduhu, M., Heravi, B., Kariyawasam, S., & Xie, X. (2023). A Robust Vehicle Detection Model for LiDAR Sensor Using Simulation Data and Transfer Learning Methods. AI, 4(2), 461-481.
https://doi.org/10.3390/ai4020025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63515
Bahade, S., Edwards, M., & Xie, X. (2023). Cascaded Graph Convolution Approach for Nuclei Detection in Histopathology Images. Journal of Image and Graphics, 11(1), 15-20.
https://doi.org/10.18178/joig.11.1.15-20, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63059
http://dx.doi.org/10.18178/joig.11.1.15-20
Hu, C., Xie, X., & Wu, Y. (2023). Face reenactment via generative landmark guidance. Image and Vision Computing, 130, 104611
https://doi.org/10.1016/j.imavis.2022.104611, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62159
Almahasneh, M., Paiement, A., Xie, X., & Aboudarham, J. (2022). MSMT-CNN for Solar Active Region Detection with Multi-Spectral Analysis. SN Computer Science, 3(3)
https://doi.org/10.1007/s42979-022-01088-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59709
George, D., Xie, X., Lai, Y., & Tam, G. (2022). A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections. Computer-Aided Design, 144, 103179
https://doi.org/10.1016/j.cad.2021.103179, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58880
Ren, H., Deng, J., & Xie, X. (2022). GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Transactions on Intelligent Systems and Technology, 13(4)
https://doi.org/10.1145/3510032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59093
Kenning, M., Deng, J., Edwards, M., & Xie, X. (2022). A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognition Letters, 153, 100-106.
https://doi.org/10.1016/j.patrec.2021.12.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59018
Ma, X., Tan, S., Xie, X., Zhong, X., & Deng, J. (2022). Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognition, 121, 108216
https://doi.org/10.1016/j.patcog.2021.108216, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57523
Alqahtani, A., Ali, M., Xie, X., & Jones, M. (2021). Deep Time-Series Clustering: A Review. Electronics, 10(23), 3001
https://doi.org/10.3390/electronics10233001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58874
Almahasneh, M., Paiement, A., Xie, X., & Aboudarham, J. (2021). MLMT-CNN for object detection and segmentation in multi-layer and multi-spectral images. Machine Vision and Applications, 33(1)
https://doi.org/10.1007/s00138-021-01261-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58518
Alqahtani, A., Xie, X., & Jones, M. (2021). Literature Review of Deep Network Compression. Informatics, 8(4), 77
https://doi.org/10.3390/informatics8040077, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58687
Deng, J. & Xie, X. (2021). 3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Transactions on Image Processing, 30, 9402-9417.
https://doi.org/10.1109/tip.2021.3125491, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58520
Deng, J., Wang, Y., Xia, Z., Xie, X., & Gong, M. (2021). TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinformatics, 22(S9)
https://doi.org/10.1186/s12859-021-04190-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57704
Essa, E. & Xie, X. (2021). An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification. IEEE Access, 9, 103452-103464.
https://doi.org/10.1109/access.2021.3098986, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57528
Essa, E. & Xie, X. (2021). Deep Collaborative Learning for Randomly Wired Neural Networks. Electronics, 10(14), 1669
https://doi.org/10.3390/electronics10141669, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57529
Alqahtani, A., Xie, X., Jones, M., & Essa, E. (2021). Pruning CNN filters via quantifying the importance of deep visual representations. Computer Vision and Image Understanding, 208-209, 103220
https://doi.org/10.1016/j.cviu.2021.103220, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56831
Kelly, J., Kljun, N., Eklundh, L., Klemedtsson, L., Liljebladh, B., Olsson, P., Weslien, P., & Xie, X. (2021). Modelling and upscaling ecosystem respiration using thermal cameras and UAVs: Application to a peatland during and after a hot drought. Agricultural and Forest Meteorology, 300, 108330
https://doi.org/10.1016/j.agrformet.2021.108330, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56138
Georgousis, S., Kenning, M., & Xie, X. (2021). Graph Deep Learning: State of the Art and Challenges. IEEE Access, 9, 22106-22140.
https://doi.org/10.1109/access.2021.3055280, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56088
Tsang, G., Zhou, S., & Xie, X. (2021). Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records. IEEE Journal of Translational Engineering in Health and Medicine, 9, 1-13.
https://doi.org/10.1109/jtehm.2020.3040236, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55654
Zhang, H., Essa, E., & Xie, X. (2020). Automatic vessel lumen segmentation in optical coherence tomography (OCT) images. Applied Soft Computing, 88, 106042
https://doi.org/10.1016/j.asoc.2019.106042, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53093
Ali, M., Jones, M., Xie, X., & Williams, M. (2019). TimeCluster: dimension reduction applied to temporal data for visual analytics. The Visual Computer, 35(6-8), 1013-1026.
https://doi.org/10.1007/s00371-019-01673-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49701
Wang, T., George, D., Lai, Y., Xie, X., & Tam, G. (2019). Consistent segment-wise matching with multi-layer graphs. Computer Aided Geometric Design, 70, 31-45.
https://doi.org/10.1016/j.cagd.2019.04.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49776
Essa, E., Jones, J., & Xie, X. (2019). Coupled s‐excess HMM for vessel border tracking and segmentation. International Journal for Numerical Methods in Biomedical Engineering, e3206
https://doi.org/10.1002/cnm.3206, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49788
Tsang, G., Xie, X., Zhou, S., & Zhou, S. (2019). Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities and Challenges. IEEE Reviews in Biomedical Engineering, 1-1.
https://doi.org/10.1109/RBME.2019.2904488, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49119
Wang, T., George, D., Lai, Y., Xie, X., & Tam, G. (2019). Consistent segment-wise matching with multi-layer graphs. Computer Aided Geometric Design, 70, 31-45.
https://doi.org/10.1016/j.cagd.2019.04.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48784
Edwards, M., Xie, X., Palmer, R., Tam, G., Alcock, R., & Roobottom, C. (2019). Graph convolutional neural network for multi-scale feature learning. Computer Vision and Image Understanding, 194, 102881
https://doi.org/10.1016/j.cviu.2019.102881, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52916
Ali, M., Alqahtani, A., Jones, M., & Xie, X. (2019). Clustering and Classification for Time Series Data in Visual Analytics: A Survey. IEEE Access, 7, 181314-181338.
https://doi.org/10.1109/access.2019.2958551, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52963
Zhou, S., Tsang, G., Xie, X., Huo, L., Brophy, S., & Lyons, R. (2018). Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach. The Lancet, 392, S9
https://doi.org/10.1016/S0140-6736(18)32166-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45957
Boileau, E., Pant, S., Roobottom, C., Sazonov, I., Deng, J., Xie, X., & Nithiarasu, P. (2018). Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR). International Journal for Numerical Methods in Biomedical Engineering, 34(1), e2908
https://doi.org/10.1002/cnm.2908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34379
George, D., Xie, X., & Tam, G. (2018). 3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks. Graphical Models, 96, 1-10.
https://doi.org/10.1016/j.gmod.2018.01.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38364
Essa, E. & Xie, X. (2017). Automatic segmentation of cross-sectional coronary arterial images. Computer Vision and Image Understanding, 165, 97-110.
https://doi.org/10.1016/j.cviu.2017.11.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa36719
Xie, X., Jones, M., & Tam, G. (2017). Recognition, Tracking, and Optimisation. International Journal of Computer Vision, 122(3), 409-410.
https://doi.org/10.1007/s11263-017-1008-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32785
Essa, E. & Xie, X. (2017). Phase contrast cell detection using multilevel classification. International Journal for Numerical Methods in Biomedical Engineering, e2916
https://doi.org/10.1002/cnm.2916, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34727
Sazonov, I., Xie, X., & Nithiarasu, P. (2016). An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 1-10.
https://doi.org/10.1080/21681163.2015.1124027, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25291
Paiement, A., Mirmehdi, M., Xie, X., & Hamilton, M. (2016). Registration and Modeling from Spaced and Misaligned Image Volumes. IEEE Transactions on Image Processing, 25(9), 4379-4393.
https://doi.org/10.1109/TIP.2016.2586660, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28997
Daubney, B., Xie, X., Deng, J., Parthaláin, N., & Zwiggelaar, R. (2016). Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. Image and Vision Computing, 52, 73-87.
https://doi.org/10.1016/j.imavis.2016.05.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28339
Edwards, M., Edwards, M., Deng, J., & Xie, X. (2016). From pose to activity: Surveying datasets and introducing CONVERSE. Computer Vision and Image Understanding, 144, 73-105.
https://doi.org/10.1016/j.cviu.2015.10.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26730
Zhang, H. & Xie, X. (2015). Divergence of Gradient Convolution: Deformable Segmentation with Arbitrary Initializations. IEEE Transactions on Image Processing, 24(11), 3902-3914.
https://doi.org/10.1109/TIP.2015.2456503, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22242
Zhao, F. & Xie, X. (2015). Energy Minimization in Medical Image Analysis: Methodologies & Applications. International Journal for Numerical Methods in Biomedical Engineering, 32(2)
https://doi.org/10.1002/cnm.2733, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22240
Zhao, F., Roach, M., Xie, X., & Roach, M. (2015). Computer Vision Techniques for Transcatheter Intervention. IEEE Journal of Translational Engineering in Health and Medicine
https://doi.org/10.1109/JTEHM.2015.2446988, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22239
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7128336&queryText%3Dswansea+university
Jones, J., Xie, X., & Essa, E. (2014). Combining region-based and imprecise boundary-based cues for interactive medical image segmentation. International Journal for Numerical Methods in Biomedical Engineering, 30(12), 1649-1666.
https://doi.org/10.1002/cnm.2693, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20986
Deng, J., Xie, X., & Daubney, B. (2014). A bag of words approach to subject specific 3D human pose interaction classification with random decision forests. Graphical Models, 76(3), 162-171.
https://doi.org/10.1016/j.gmod.2013.10.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49635
http://www.sciencedirect.com/science/article/pii/S1524070313000337
Yeo, S., Xie, X., Sazonov, I., & Nithiarasu, P. (2014). Segmentation of biomedical images using active contour model with robust image feature and shape prior. International Journal for Numerical Methods in Biomedical Engineering, 30(2), 232-248.
https://doi.org/10.1002/cnm.2600, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20249
Paiement, A., Mirmehdi, M., Xie, X., & Hamilton, M. (2014). Integrated Segmentation and Interpolation of Sparse Data. IEEE Transactions on Image Processing, 23(1), 110-125.
https://doi.org/10.1109/TIP.2013.2286903, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18012
Zhao, F. & Xie, X. (2013). An Overview on Interactive Medical Image Segmentation. Annals of the BMVA(7), 1-22.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20959
http://www.bmva.org/annals/2013/2013-0007.pdf
Xie, X. (2013). Guest Editorial: Medical Image Understanding and Analysis. Annals of the BMVA, 1-2.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20960
http://csvision.swan.ac.uk/index.php?n=Site.Publication
Yang, R., Mirmehdi, M., Xie, X., & Hall, D. (2013). Shape and appearance priors for level set-based left ventricle segmentation. IET Computer Vision, 7(3), 170-183.
https://doi.org/10.1049/iet-cvi.2012.0081, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20962
Borgo, R., Chen, M., Daubney, B., Heidemann, G., Grundy, E., Hoferlin, B., Hoferlin, M., Leitte, H., Weiskopf, D., Xie, X., & Borgo, R. (2012). State of the Art Report on Video-based Graphics and Video Visualizations. Computer Graphics Forum, 31(8), 2450-2477.
https://doi.org/10.1111/j.1467-8659.2012.03158.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20956
Chiverton, J., Xie, X., & Mirmehdi, M. (2012). Automatic Bootstrapping and Tracking of Object Contours. IEEE Transactions on Image Processing, 21(3), 1231-1245.
https://doi.org/10.1109/TIP.2011.2167343, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7783
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6015548
Sazonov, I., Yeo, S., Bevan, R., Xie, X., Loon, R., & Nithiarasu, P. (2011). Modelling pipeline for subject-specific arterial blood flow-A review. International Journal for Numerical Methods in Biomedical Engineering, 27(12), 1868-1910.
https://doi.org/10.1002/cnm.1446, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7785
Xie, X. & Mirmehdi, M. (2011). Radial basis function based level set interpolation and evolution for deformable modelling. Image and Vision Computing, 29(2-3), 167-177.
https://doi.org/10.1016/j.imavis.2010.08.011, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5307
Yeo, S., Xie, X., Sazonov, I., Nithiarasu, P., Nithiarasu, P., & Sazonov, I. (2010). Geometrically Induced Force Interaction for Three-Dimensional Deformable Models. IEEE Transactions on Image Processing, 20(5), 1373-1387.
https://doi.org/10.1109/TIP.2010.2092434, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5306
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5635339&tag=1
Xie, X. (2009). Active Contouring Based on Gradient Vector Interaction and Constrained Level Set Diffusion. IEEE Transactions on Image Processing, 19(1), 154-164.
https://doi.org/10.1109/TIP.2009.2032891, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5305
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5256295
Xie, X. & Xie, X. (2008). A review of recent advances in surface defect detection using texture analysis techniques. Electronic Letters on Computer Vision and Image Analysis, 7(3), 1-25.
https://doi.org/10.5565/rev/elcvia.268, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa131
http://elcvia.cvc.uab.es/article/view/268
Xie, X., Mirmehdi, M., & Xie, X. (2008). Correction to "MAC: Magnetostatic Active Contour Model" [Apr 08 632-646]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(5), Online Only-Online Only.
https://doi.org/10.1109/TPAMI.2008.62, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26147
http://www.scopus.com/inward/record.url?eid=2-s2.0-41749116855&partnerID=MN8TOARS
Xie, X. & Mirmehdi, M. (2008). MAC: Magnetostatic Active Contour Model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(4), 632-646.
https://doi.org/10.1109/TPAMI.2007.70737, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa138
Xie, X. & Mirmehdi, M. (2007). TEXEMS: Texture Exemplars for Defect Detection on Random Textured Surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(8), 1454-1464.
https://doi.org/10.1109/TPAMI.2007.1038, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1698
Xie, X. & Mirmehdi, M. (2007). Colour Image Segmentation using Texems. Annals of the British Machine Vision Association(6), 1-10.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20944
http://www.bmva.org/annals/2007/2007-0006.pdf
Xie, X., Mirmehdi, M., & Thomas, B. (2006). Colour tonality inspection using eigenspace features. Machine Vision and Applications, 16(6), 364-373.
https://doi.org/10.1007/s00138-005-0008-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1700
Xie, X., Mirmehdi, M., & Xie, X. (2004). RAGS: Region-Aided Geometric Snake. IEEE Transactions on Image Processing, 13(5), 640-652.
https://doi.org/10.1109/TIP.2004.826124, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1699
Cai, Z., Xie, X., Deng, J., Dou, Z., Tong, B., & Ma, X. (n.d.) Image restoration with group sparse representation and low‐rank group residual learning. IET Image Processing
https://doi.org/10.1049/ipr2.12982, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64966
http://dx.doi.org/10.1049/ipr2.12982
Clarkson, C., Edwards, M., & Xie, X. (n.d.) Dense Semantic Refinement Using Active Similarity Learning. International Journal on Computer Science and Information Systems, 19(1)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66967
https://www.iadisportal.org/ijcsis/

Authored Books

Xie, X., Styles, I., Powathil, G., & Ceccarelli, M. (2024). Artificial Intelligence in Healthcare Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-67278-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67497
Mirmehdi, M., Xie, X., Suri, J., & Xie, X. (2008). Handbook of Texture Analysis ICP.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa195

Book Chapters

Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T., North, R., & Wood, A. (2017). AMD Classification in Choroidal OCT Using Hierarchical Texton Mining. Advanced Concepts for Intelligent Vision Systems -248).
https://doi.org/10.1007/978-3-319-70353-4_21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34885
Edwards, M., Deng, J., Xie, X., & Edwards, M. (2016). Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. Advanced Concepts for Intelligent Vision Systems (pp. 349-360).
https://doi.org/10.1007/978-3-319-48680-2_31, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32104
Palmer, R. & Xie, X. (2016). Neural Network Boundary Detection for 3D Vessel Segmentation. Advanced Concepts for Intelligent Vision Systems (pp. 25-36).
https://doi.org/10.1007/978-3-319-48680-2_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32106
Xie, X., Yeo, S., Mirmehdi, M., Sazonov, I., & Nithiarasu, P. (2013). Image Gradient Based Level Set Methods in 2D and 3D. Deformation Models (pp. 101-120). Springer
https://doi.org/10.1007/978-94-007-5446-1_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20957
Xie, X. (2010). An Applied Comparative Study on Active Contour Models in Mammographic Image Segmentation. American Scientific Publishers
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8260
Xie, X., Mirmehdi, M., & Xie, X. (2008). Texems: random texture representation and analysis. Handbook of Texture Analysis (pp. 95-127). ICP
https://doi.org/10.1109/TPAMI.2007.1038, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa11
Xie, X., Mirmehdi, M., & Xie, X. (2008). A galaxy of texture features. Handbook of Texture Analysis (pp. 375-406). ICP
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14
http://csvision.swan.ac.uk/uploads/Site/PublicationCategorisedVersion/xxmm-texture_feature.pdf
Xie, X. & Mirmehdi, M. (2005). A Region-Aided Color Geometric Snake. Handbook of Biomedical Image Analysis: Segmentation Models (pp. 535-582). Springer Press
https://doi.org/10.1007/0-306-48551-6_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18023

Conference Contributions

Hu, F., Ren, H., Hu, C., Li, Y., Deng, J., & Xie, X. (2024). Gradients Stand-in for Defending Deep Leakage in Federated Learning. In International Conference on Computing in Natural Sciences, Biomedicine and Engineering
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66608
Guran, A., Tam, G., Chess, J., & Xie, X. (2024). Multi-stage Chronic Kidney Disease Classification on Longitudinal Data. In Lecture Notes in Computer Science (pp. 120-133). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-67278-1_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66605
Li, Y., Ren, H., Deng, J., Ma, X., & Xie, X. (2024). Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. In 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE.
https://doi.org/10.1109/isbi56570.2024.10635872, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66747
http://dx.doi.org/10.1109/isbi56570.2024.10635872
Hu, F., Ren, H., Hu, C., Deng, J., & Xie, X. (2024). An Element-Wise Weights Aggregation Method for Federated Learning. In 2023 IEEE International Conference on Data Mining Workshops (ICDMW)IEEE.
https://doi.org/10.1109/icdmw60847.2023.00031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66909
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied Computing 2023 (pp. 47-56). IADIS.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64165
https://www.iadisportal.org/ac-icwi-2023-proceedings
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.
https://doi.org/10.1145/3596454.3597185, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63777
http://dx.doi.org/10.1145/3596454.3597185
Ramchand, S., Tsang, G., Cole, D., & Xie, X. (2022). RetainEXT: Enhancing Rare Event Detection and Improving Interpretability of Health Records using Temporal Neural Networks. In 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)IEEE.
https://doi.org/10.1109/bhi56158.2022.9926906, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61212
Richards, F., Xie, X., Paiement, A., Sola, E., & Duc, P. (2022). Multi-Scale Gridded Gabor Attention for Cirrus Segmentation. In 2022 IEEE International Conference on Image Processing (ICIP) (pp. 3733-3737). IEEE.
https://doi.org/10.1109/icip46576.2022.9898045, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60457
Hu, C. & Xie, X. (2022). One-Shot Decoupled Face Reenactment with Vision Transformer. In Pattern Recognition and Artificial Intelligence (pp. 246-257). Springer International Publishing.
https://doi.org/10.1007/978-3-031-09282-4_21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59668
Siris, A., Jiao, J., Tam, G., Xie, X., & Lau, R. (2022). Scene Context-Aware Salient Object Detection. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 4156-4166). IEEE.
https://doi.org/10.1109/iccv48922.2021.00412, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57526
Tsang, G. & Xie, X. (2021). Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset. In 2020 25th International Conference on Pattern Recognition (ICPR)IEEE.
https://doi.org/10.1109/icpr48806.2021.9412058, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55573
Alqahtani, A., Xie, X., Essa, E., & Jones, M. (2021). Neuron-based Network Pruning Based on Majority Voting. In 2020 25th International Conference on Pattern Recognition (ICPR)IEEE.
https://doi.org/10.1109/icpr48806.2021.9412897, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55572
Essa, E. & Xie, X. (2021). Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification. In 2020 28th European Signal Processing Conference (EUSIPCO)IEEE.
https://doi.org/10.23919/eusipco47968.2020.9287520, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55575
Au-Yeung, L., Xie, X., Chess, J., & Scale, T. (2021). Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care. In 2020 25th International Conference on Pattern Recognition (ICPR)IEEE.
https://doi.org/10.1109/icpr48806.2021.9413108, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55574
Siris, A., Jiao, J., Tam, G., Xie, X., & Lau, R. (2020). Inferring Attention Shift Ranks of Objects for Image Saliency. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 12133-12143). IEEE.
https://doi.org/10.1109/cvpr42600.2020.01215, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53689
http://dx.doi.org/10.1109/cvpr42600.2020.01215
Alqahtani, A., Xie, X., Deng, J., & Jones, M. (2019). Learning Discriminatory Deep Clustering Models. In M. Vento & G. Percannella (Ed.), Computer Analysis of Images and Patterns (pp. 224-233).
https://doi.org/10.1007/978-3-030-29888-3_18, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50907
Terry, L., Ravenscroft, D., Deng, J., Xie, X., White, N., Margrain, T., North, R., & Wood, A. (2019). Feature analysis of the choroid in optical coherence tomography images–limitations and opportunities. In Investigative Ophthalmology & Visual Science (pp. 3461-3461). The Association for Research in Vision and Ophthalmology.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52371
https://iovs.arvojournals.org/article.aspx?articleid=2743295&resultClick=1
Bahade, S., Edwards, M., & Xie, X. (2019). Graph Convolutional Neural Network for segmentation of immunostained Hodgkin Lymphoma histology images. In 23rd Conference in Medical Imaging, Understanding and Analysis
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52372
Momotov, A. & Xie, X. (2019). Determining Lead-Lag Structure between Sentiment Index and Stock Price Returns. In International Conference on Data Mining and Knowledge Discovery
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48786
Tsang, G., Deng, J., & Xie, X. (2018). Recurrent Neural Networks for Financial Time-Series Modelling. (pp. 892-897). 25th International Conference on Pattern Recognition.
https://doi.org/10.1109/ICPR.2018.8545666, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39477
http://www.icpr2018.org/index.php?m=content&c=index&a=init
Ali, M., Jones, M., Xie, X., & Williams, M. (2018). Towards Visual Exploration of Large Temporal Datasets. In In 2018 International Symposium on Big Data Visual Analytics (BDVA) 2018
https://doi.org/10.1109/BDVA.2018.8534025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43563
Alqahtani, A., Xie, X., Deng, J., Jones, M., Jones, M., Xie, X., & Deng, J. (2018). A Deep Convolutional Auto-Encoder with Embedded Clustering. In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 4058-4062). 25th IEEE International Conference on Image Processing (ICIP).
https://doi.org/10.1109/ICIP.2018.8451506, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40682
https://ieeexplore.ieee.org/document/8451506
Kenning, M., Xie, X., Edwards, M., & Deng, J. (2018). Local Representation Learning with A Convolutional Autoencoder. In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 3239-3243). 2018 IEEE International Conference on Image Processing.
https://doi.org/10.1109/ICIP.2018.8451233, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40806
https://ieeexplore.ieee.org/document/8451233/
Stroe, P., Xie, X., & Paiement, A. (2018). Manifold Modeling of the Beating Heart Motion. In Communications in Computer and Information Science (pp. 229-238). Springer International Publishing.
https://doi.org/10.1007/978-3-319-95921-4_22, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39317
Deng, J. & Xie, X. (2018). Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. (pp. 4167-4171). IEEE International Conference on Image Processing.
https://doi.org/10.1109/ICIP.2017.8297067, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34381
http://csvision.swan.ac.uk/uploads/Site/Publication/icip2017.pdf
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T., North, R., & Wood, A. (2017). Learning feature extractors for AMD classification in OCT using convolutional neural networks. In Signal Processing Conference (EUSIPCO), 2017 25th European (pp. 51-55). Signal Processing Conference (EUSIPCO), 2017 25th European.
https://doi.org/10.23919/EUSIPCO.2017.8081167, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33957
http://ieeexplore.ieee.org/document/8081167/
Deng, J. & Xie, X. (2017). Nested Shallow CNN-Cascade for Face Detection in the Wild. In 2017 IEEE 12th International Conference on Automatic Face & Gesture Recognition (pp. 165-172). IEEE.
https://doi.org/10.1109/FG.2017.29, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32108
http://csvision.swan.ac.uk/uploads/Site/Publication/jd17fg.pdf
Edwards, M., Deng, J., & Xie, X. (2017). Labeling subtle conversational interactions within the CONVERSE dataset. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 140-145). IEEE.
https://doi.org/10.1109/percomw.2017.7917547, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33105
Essa, E. & Xie, X. (2017). Segmentation and Tracking of Coronary Arterial Wall. In Computational and Mathematical Biomedical Engineering
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32107
http://www.compbiomed.net/getfile.php?type=13/site_documents&id=CMBE17Vol1prepress_2227-9385.pdf
Edwards, M. & Xie, X. (2016). Graph Convolutional Neural Network. In British Machine Vision Conference
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32103
Terry, L., Deng, J., Xie, X., Margrain, T., North, R., Furgusson, J., White, N., & Wood, A. (2016). Automated classification of age-related macular degeneration using choroidal optical coherence tomography imaging--a pilot study. In Investigative Ophthalmology & Visual Science
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57723
https://iovs.arvojournals.org/article.aspx?articleid=2559096
Deng, J., Xie, X., Terry, L., Wood, A., White, N., Margrain, T., & North, R. (2016). Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images. In Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science. (pp. 707-715). ICIAR 2016.
https://doi.org/10.1007/978-3-319-41501-7_79, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32100
Jones, J. & Xie, X. (2016). Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images. In Image Analysis and Recognition (pp. 198-205).
https://doi.org/10.1007/978-3-319-41501-7_23, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32101
Essa, E., Xie, X., Turner, R., Stevens, M., & Power, D. (2016). Extracting Lineage Information from Hand-Drawn Ancient Maps. In Image Analysis and Recognition (pp. 268-275). Springer International Publishing.
https://doi.org/10.1007/978-3-319-41501-7_30, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49176
Deng, J., Xie, X., Alcock, R., & Roobottom, C. (2015). 3D interactive coronary artery segmentation using random forests and Markov random field optimization. In 2014 IEEE International Conference on Image Processing (ICIP) (pp. 942-946).
https://doi.org/10.1109/ICIP.2014.7025189, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49670
Essa, E., Xie, X., & Jones, J. (2015). Minimum s-Excess Graph for Segmenting and Tracking Multiple Borders with HMM. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (pp. 28-35). Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science, vol 9350. Navab N., Hornegger J., Wells W., Frangi A. (eds)..
https://doi.org/10.1007/978-3-319-24571-3_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22241
http://link.springer.com/chapter/10.1007%2F978-3-319-24571-3_4
Edwards, M. & Xie, X. (2015). Generating Local Temporal Poses from Gestures with Aligned Cluster Analysis for Human Action Recognition. In BMVC 2015, 7th UK Computer Vision Student Workshop
https://doi.org/10.5244/C.29.BMVW.1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26148
George, D., Tam, G., & Xie, X. (2015). Analysis of face and segment level descriptors for robust 3D co-segmentation. (pp. 3.1-3.10). BMVC 2015.
https://doi.org/10.5244/C.29.BMVW.3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26141
http://www.bmva.org/bmvc/2015/bmvw/papers/paper003/index.html
Essa, E., Errington, R., White, N., & Xie, X. (2015). A Multi-Stage Random Forest Classifier for Phase Contrast Cell Segmentation. In 37th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22235
Palmer, R., Tam, G., & Xie, X. (2015). Finding Complete 3D Vertex Correspondence for Statistical Shape Modeling. In IEEE Engineering in Medicine and Biology SocietyIEEE.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22236
Jones, J., Essa, E., & Xie, X. (2015). Automatic Segmentation of Lymph Vessel Wall using Optimal Surface Graph Cut and Hidden Markov Models. In IEEE Engineering in Medicine and Biology SocietyIEEE.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22237
Palmer, R., Tam, G., Alock, R., Roobottom, C., & Xie, X. (2015). Computing 3D Mesh Correspondence for Aortic Root Shape Modelling. In 19th Conference on Medical Image Understanding and Analysis (pp. 1-6). 19th Conference on Medical Image Understanding and Analysis.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22234
http://csvision.swan.ac.uk/uploads/Site/PublicationCategorisedVersion/miua2015_XX.pdf
Essa, E., Jones, J., & Xie, X. (2015). Graph Based Lymphatic Vessel Wall Localisation and Tracking. In Graph-Based Representations in Pattern Recognition (pp. 345-354). Springer.
https://doi.org/10.1007/978-3-319-18224-7_34, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22232
http://link.springer.com/chapter/10.1007%2F978-3-319-18224-7_34
Lacey, A., Deng, J., & Xie, X. (2014). Protein classification using Hidden Markov models and randomised decision trees. In 2014 7th International Conference on Biomedical Engineering and Informatics (pp. 659-664).
https://doi.org/10.1109/BMEI.2014.7002856, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49679
Edwards, M., Edwards, M., & Xie, X. (2014). Footstep pressure signal analysis for human identification. In Int'l Conf. BioMedical Engineering and Informatics (pp. 307-312). 7th International Conference on Biomedical Engineering and Informatics.
https://doi.org/10.1109/BMEI.2014.7002790, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20982
Deng, J., Xie, X., & Zhou, S. (2014). Conversational Interaction Recognition Based on Bodily and Facial Movement. In International Conference on Image Analysis and Recognition (pp. 237-245).
https://doi.org/10.1007/978-3-319-11758-4_26, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20985
James, D., Xie, X., & Eslambolchilar, P. (2014). A Discriminative Approach to Automatic Seizure Detection in Multichannel EEG Signals. In 22nd European Signal Processing Conference
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20981
https://ieeexplore.ieee.org/document/6952742/authors#authors
Boileau, E., Sazonov, ., van Loon, R., Xie, X., & Nithiarasu, P. (2014). An Improved Coronary Model for One-Dimensional Pressure-Flow Analysis. In 11th World Congress on Computational Mechanics11th World Congress on Computational Mechanics.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20979
https://www.wccm-eccm-ecfd2014.org/proceedings-2014-wccm-event-barcelona/
Zhang, H. & Xie, X. (2014). An adaptive denoising method used in MRI. (pp. 501-504).
https://doi.org/10.1109/ISBI.2014.6867918, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18016
Zhang, H. & Xie, X. (2014). An adaptive denoising method used in MRI. In IEEE International Symposium on Biomedical Imaging (pp. 501-504).
https://doi.org/10.1109/ISBI.2014.6867918, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20977
Fang, H., Deng, J., Xie, X., & Grant, P. (2013). From clamped local shape models to global shape model. In 2013 IEEE International Conference on Image Processing (pp. 3513-3517).
https://doi.org/10.1109/ICIP.2013.6738725, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49682
Chen, D., Deng, J., Xie, X., Nithiarasu, P., & Smith, D. (2013). Efficient reconstruction of coronary vessels from 2D angiography. In International Conference on Computational and Mathematical Biomedical Engineering
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20971
http://www.compbiomed.net/2019/cmbe-proceedings.htm
Jones, J., Essa, E., Xie, X., & Cotton, J. (2013). Interactive segmentation of lumen border in OCT. In International Conference on Computational and Mathematical Biomedical Engineering
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20972
http://www.compbiomed.net/2019/cmbe-proceedings.htm
Tappenden, A., Ionescu, A., Xie, X., & van Loon, R. (2013). Parameter estimation of heart, valve and vasculature. In International Conference on Computational and Mathematical Biomedical Engineering
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20974
http://csvision.swan.ac.uk/uploads/Site/PublicationCategorisedVersion/Tappenden_CMBE2013.pdf
Yeo, S., Xie, X., Sazonov, I., Nithiarasu, P., & Xie, X. (2013). Mathematical Methodologies in Pattern Recognition and Machine Learning. In Segmenting Carotid in CT Using Geometric Potential Field Deformable Model (pp. 149-162).
https://doi.org/10.1007/978-1-4614-5076-4_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26143
http://www.scopus.com/inward/record.url?eid=2-s2.0-84883348955&partnerID=MN8TOARS
Sazonov, I., Xie, X., & Nithiarasu, P. (2013). Modification of the GPF method for efficient segmentation of high dimensional medical scans. In International Conference on Computational and Mathematical Biomedical Engineering
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20973
http://www.compbiomed.net/2019/cmbe-proceedings.htm
Deng, J., Xie, X., Daubney, B., Fang, H., & Grant, P. (2013). Recognizing Conversational Interaction Based on 3D Human Pose. In Advanced Concepts for Intelligent Vision Systems (pp. 138-149).
https://doi.org/10.1007/978-3-319-02895-8_13, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20970
Deng, J., Xie, X., & Daubney, B. (2013). A Bag of Words Approach to 3D Human Pose Interaction Classification with Random Decision Forests. In Computational Visual Media Conference
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20966
http://csvision.swan.ac.uk/
Jones, J., Xie, X., & Essa, E. (2013). Image Segmentation using Combined User Interactions. In Computational Visual Media Conference
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20967
http://csvision.swan.ac.uk/uploads/Site/Publication/J.Jones.CVM.2013.pdf
Zhang, H., Essa, E., & Xie, X. (2013). Graph based segmentation with minimal user interaction. In IEEE International Conference on Image Processing (pp. 4074-4078).
https://doi.org/10.1109/ICIP.2013.6738839, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20969
Jones, J., Essa, E., Xie, X., & Smith, D. (2013). Interactive Segmentation of Media-Adventitia Border in IVUS. In 15th International Conference on Computer Analysis of Images and Patterns (pp. 466-474).
https://doi.org/10.1007/978-3-642-40246-3_58, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20963
Liu, R. & Xie, X. (2012). An Applied Study of Human Detection in Single Images.
https://doi.org/10.1117/12.917683, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8276
Hou, Z., Hannuna, S., Xie, X., Mirmehdi, M., & Xie, X. (2012). Line histogram a fast method for rotated rectangular area histogramming.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26144
http://www.scopus.com/inward/record.url?eid=2-s2.0-84862203949&partnerID=MN8TOARS
Sazonov, I., Xie, X., & Nithiarasu, P. (2012). Efficient Geometrical Potential Force Computation for Deformable Model Segmentation. In Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging (pp. 1-10).
https://doi.org/10.1007/978-3-642-36620-8_11, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20953
Essa, E., Xie, X., Sazonov, I., Nithiarasu, P., & Smith, D. (2012). Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut. In Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging (pp. 1-10).
https://doi.org/10.1007/978-3-642-36620-8_12, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20955
Zhao, F. & Xie, X. (2012). Interactive Segmentation of Medical Images: A Survey. In The 16th Conference on Medical Image Understanding and Analysis (pp. 263-270).
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20947
http://miua2012.swan.ac.uk/
Yeo, S., Xie, X., Sazonov, I., & Nithiarasu, P. (2012). GPF Deformable Model based Vessel Segmentation in CT. In The 16th Conference on Medical Image Understanding and Analysis (pp. 1-7).
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20948
http://miua2012.swan.ac.uk/
Sazonov, I., Xie, X., Yeo, S., Bevan, R., van Loon, R., & Nithiarasu, P. (2012). Segmentation and Mesh Generation for Patient-Specific Flow Modelling in Carotid Arteries. In The 16th Conference on Medical Image Understanding and Analysis (pp. 1-7).
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20949
http://miua2012.swan.ac.uk/
Essa, E., Xie, X., Sazonov, I., Nithiarasu, P., & Smith, D. (2012). Graph-based Segmentation of Optimal IVUS Media-Adventitia Border using Shape Prior. In The 16th Conference on Medical Image Understanding and Analysis (pp. 143-149). The 16th Conference on Medical Image Understanding and Analysis.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20950
http://miua2012.swan.ac.uk/
Zhang, H. & Xie, X. (2012). Medical Image Segmentation Using Magnetostatic Active Contours (MAC) with Tensor Diffusion. In The 16th Conference on Medical Image Understanding and Analysis (pp. 125-130). The 16th Conference on Medical Image Understanding and Analysis.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20951
http://miua2012.swan.ac.uk/
Xie, X. (2012). Proceedings of the 16th Conference on Medical Image Understanding and Analysis. (pp. 1-292). BMVA Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20952
http://miua2012.swansea.ac.uk/index.php?n=Site.Programme
Hou, Z., Hannuna, S., Xie, X., & Mirmehdi, M. (2012). Line Histogram: A Fast Method for Rotated Rectangular Area Histogramming. In International Conference on Pattern Recognition Applications and Methods
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18014
http://www.cs.bris.ac.uk/publications/Papers/2001474.pdf
Yeo, S., Xie, X., Sazonov, I., & Nithiarasu, P. (2012). Segmentation of Vessel Geometries from Medical Images using GPF Deformable Model. In International Conference on Pattern Recognition Applications and Methods
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18015
Essa, E., Xie, X., Sazonov, I., & Nithiarasu, P. (2011). Local Phase based Automatic VIUS Media-Adventitia Border Detection.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8257
Yeo, S., Xie, X., Sazonov, I., & Nithiarasu, P. (2011). Variational Level Set Segmentation using Shape Prior.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8258
Essa, E., Xie, X., Sazonov, I., Nithiarasu, P., & Smith, D. (2011). Automatic Segmentation of IVUS Media-Adventitia Border with Shape Prior.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8275
Daubney, B. & Xie, X. (2011). Tracking 3D human pose with large root node uncertainty. In CVPR 2011 (pp. 1321CVPR 2011.
https://doi.org/10.1109/CVPR.2011.5995502, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7787
Daubney, B. & Xie, X. (2011). Entropy Driven Hierarchical Search for 3D Human Pose Estimation. In 22nd British Machine Vision Conference (pp. 31.122nd British Machine Vision Conference.
https://doi.org/10.5244/C.25.31, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7789
Essa, E., Xie, X., Sazonov, I., & Nithiarasu, P. (2011). Automatic IVUS media-adventitia border extraction using double interface graph cut segmentation. In 18th IEEE International Conference on Image Processing (pp. 6918th IEEE International Conference on Image Processing.
https://doi.org/10.1109/ICIP.2011.6116649, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7791
Yeo, S., Xie, X., Sazonov, I., Nithiarasu, P., & Xie, X. (2011). Level set segmentation with robust image gradient energy and statistical shape prior. In 18th IEEE International Conference on Image Processing (pp. 339718th IEEE International Conference on Image Processing.
https://doi.org/10.1109/ICIP.2011.6116439, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7782
Xie, X., Yeo, S., Sazonov, I., & Nithiarasu, P. (2011). Extracting 3D Structures from Biomedical Data. (pp. 15th International Conference on Bioinformatics and Biomedical Engineering.
https://doi.org/10.1109/icbbe.2011.5780706, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7797
Borgo, R., Chen, M., Daubney, B., Grundy, E., Janicke, H., Heidemann, G., Hoferlin, B., Hoferlin, M., Weiskopf, D., & Xie, X. (2011). A Survey on Video-based Graphics and Video Visualization. In Eurographics 2011EUROGRAPHICS.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8256
Xie, X. (2011). Variational Level Set Segmentation using Shape Prior. In 2nd International Conference on Mathematical and Computational Biomedical Engineering
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26145
https://ps.is.tuebingen.mpg.de/publications?year%5B%5D=2011
Traver, V., Mirmehdi, M., Xie, X., & Montoliu, R. (2010). Fast Dynamic Texture Detection. In Computer Vision – ECCV 2010 (pp. 680
https://doi.org/10.1007/978-3-642-15561-1_49, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7794
Xie, X. (2010). Textured Image Segmentation Using Active Contours. In Computer Vision, Imaging and Computer Graphics. Theory and Applications (pp. 357
https://doi.org/10.1007/978-3-642-11840-1_26, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7795
Daubney, B. & Xie, X. (2010). Estimating 3D Human Pose from Single Images Using Iterative Refinement of the Prior. In 20th International Conference on Pattern Recognition (pp. 344020th International Conference on Pattern Recognition.
https://doi.org/10.1109/ICPR.2010.840, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7790
Daubney, B. & Xie, X. (2010). Estimating 3D Pose via Stochastic Search and Expectation Maximization. In Articulated Motion and Deformable Objects (pp. 67
https://doi.org/10.1007/978-3-642-14061-7_7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7788
Xie, X. & Mirmehdi, M. (2010). Initialisation-Free Active Contour Segmentation. In 20th International Conference on Pattern Recognition (pp. 231820th International Conference on Pattern Recognition.
https://doi.org/10.1109/ICPR.2010.567, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7781
Xie, X. (2010). Level Set Based Segmentation Using Local Feature Distribution. In 20th International Conference on Pattern Recognition (pp. 278020th International Conference on Pattern Recognition.
https://doi.org/10.1109/ICPR.2010.681, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7784
Paiement, A., Mirmehdi, M., Xie, X., & Hamilton, M. (2010). Simultaneous level set interpolation and segmentation of short- and long-axis MRI. In Proceedings of Medical Image Understanding and AnalysisMIUA.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8259
http://csvision.swan.ac.uk/uploads/Site/PublicationCategorisedVersion/miua2010-ap.pdf
Hannuna, S., Xie, X., Mirmehdi, M., Campbell, N., & Xie, X. (2009). Generic motion based object segmentation for assisted navigation. (pp. 1-8). INSTICC Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa78
http://csvision.swan.ac.uk/uploads/Site/Publication/visapp2009-hxmc.pdf
Pla, F., Gracia, G., García-Sevilla, P., Mirmehdi, M., & Xie, X. (2009). Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation. In Pattern Recognition and Image Analysis (pp. 257Springer Press.
https://doi.org/10.1007/978-3-642-02172-5_34, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa79
Yeo, S., Sazonov, I., Xie, X., Nithiarasu, P., & Xie, X. (2009). Level set based automatic segmentation of human aorta. (pp. 242-245). CMBE Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa80
http://csvision.swan.ac.uk/uploads/Site/Publication/cmbe2009-sy.pdf
Yeo, S., Xie, X., Sazonov, I., Nithiarasu, P., & Xie, X. (2009). Segmentation of human upper airway using a level set based deformable model. (pp. 174-178). BMVA Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa82
http://csvision.swan.ac.uk/uploads/Site/Publication/miua2009.pdf
Yeo, S., Xie, X., Sazonov, I., & Nithiarasu, P. (2009). Geometric Potential Force for the Deformable Model. (pp. 99.1BMVA Press.
https://doi.org/10.5244/C.23.99, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa84
http://www.bmva.org/bmvc/2009/Papers/Paper450/Paper450.html
Xie, X. & Xie, X. (2009). Textured image segmentation based on local spectral histogram and active contour. (pp. 217-225). INSTICC Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa88
http://csvision.swan.ac.uk/uploads/Site/Publication/visapp2009-xx.pdf
Xie, X. & Xie, X. (2009). Mammographic image segmentation using edge based deformable contour models. (pp. 238-241). CMBE Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa90
http://csvision.swan.ac.uk/uploads/Site/Publication/cmbe2009-xx.pdf
Chiverton, J., Xie, X., Mirmehdi, M., & Xie, X. (2009). Probabilistic sequential segmentation and simultaneous on-line shape learning of multi-dimensional medical imaging data. (pp. 1-10). MICCAI.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa109
http://csvision.swan.ac.uk/uploads/Site/ContourBasedObjectTracking/MICCAI2009WSChiverton.pdf
Yang, R., Mirmehdi, M., Xie, X., Hall, D., & Xie, X. (2009). Shape and appearance based spatiotemporal constraint for LV segmentation in 4D cardiac SPECT. (pp. 1-10). MICCAI.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa110
http://csvision.swan.ac.uk/uploads/Site/LeftVentricleSegmentationInSPECT/miccai09ccace.pdf
Chiverton, J., Mirmehdi, M., Xie, X., & Xie, X. (2009). On-line learning of shape information for object segmentation and tracking. (pp. 1-11). BMVA Press.
https://doi.org/10.5244/C.23.21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa112
Xie, X., Nithiarasu, P., Sazonov, I., Yeo, S., & Xie, X. (2009). Extracting anatomical structures from 2D and 3D medical data using a robust deformable model. (pp. 1UK Bioengineering Society.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa200
Sazonov, I., Ashraf, S., Luckraz, H., Nithiarasu, P., Saksono, P., Loon, R., Xie, X., Yeo, S., & Xie, X. (2009). Patient-specific numerical simulation of blood flow in an aortic aneurysm. (pp. 1UK Bioengineering Society.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa201
Liu, Y., Li, L., Xie, X., & Wei, B. (2009). Range image registration using hierarchical segmentation and clustering. (pp. 15-18). IEEE Press.
https://doi.org/10.1109/CIRA.2009.5423184, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa83
Chiverton, J., Mirmehdi, M., Xie, X., & Xie, X. (2008). Variational logistic maximum a posteriori model similarity and dissimilarity matching. (pp. 1-4). IEEE Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa122
http://csvision.swan.ac.uk/uploads/Site/Publication/jcmmxx-icpr08.pdf
Chiverton, J., Xie, X., Mirmehdi, M., & Xie, X. (2008). Tracking with active contours using dynamically updated shape information. (pp. 1-11). BMVA Press.
https://doi.org/10.5244/C.22.26, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa111
http://www.bmva.org/bmvc/2008/papers/94.html
Chiverton, J., Mirmehdi, M., Xie, X., & Xie, X. (2008). Variational maximum a posteriori model similarity and dissimilarity matching.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26146
http://www.scopus.com/inward/record.url?eid=2-s2.0-77957932095&partnerID=MN8TOARS
Xie, X., Mirmehdi, M., & Xie, X. (2007). Implicit Active Model using Radial Basis Function Interpolated Level Sets. (pp. 107.1-107.10). BMVA press.
https://doi.org/10.5244/C.21.107, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20946
Xie, X. (2006). A Charged Active Contour based on Electrostatics. In International Conference on Advanced Concepts for Intelligent Vision Systems (pp. 173International Conference on Advanced Concepts for Intelligent Vision Systems.
https://doi.org/10.1007/11864349_16, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18024
Xie, X. & Mirmehdi, M. (2006). Magnetostatic Field for the Active Contour Model: A Study in Convergence. In Proceedings of the 17th British Machine Vision Conference (pp. 127-136). BMVA press.
https://doi.org/10.5244/C.20.14, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20943
http://www.bmva.org/annals/2007/
Xie, X. & Mirmehdi, M. (2005). Localising Surface Defects in Random Colour Textures using Multiscale Texem Analysis in Image Eigenchannels. In IEEE International Conference on Image Processing (pp. 1124-1127). IEEE International Conference on Image Processing.
https://doi.org/10.1109/ICIP.2005.1530594, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18022
Xie, X. & Mirmehdi, M. (2005). Texture Exemplars for Defect Detection on Random Textures. In International Conference on Advances in Pattern Recognition (pp. 404-413). Springer.
https://doi.org/10.1007/11552499_46, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18021
Xie, X., Mirmehdi, M., Maw, R., & Hall, A. (2005). Detecting Abnormalities in Tympanic Membrane Images. In Medical Image Understanding and Analysis (pp. 19-22). BMVA Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18020
http://csvision.swan.ac.uk/uploads/Site/PublicationCategorisedVersion/miua2005-xxmm.pdf
Xie, X., Mirmehdi, M., & Thomas, B. (2004). Inspecting Colour Tonality on Textured Surfaces. In International Conference on Image Analysis and Recognition (pp. 810-817). Springer.
https://doi.org/10.1007/978-3-540-30126-4_98, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18019
Xie, X. & Mirmehdi, M. (2003). Geodesic Colour Active Contour Resistent to Weak Edges and Noise. In 14th British Machine Vision Conference (pp. 399-408). BMVA Press.
https://doi.org/10.5244/C.17.41, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18017
Xie, X. & Mirmehdi, . (2003). Level-Set Based Geometric Colour Snake with Region Support. In IEEE International Conference on Image Processing (pp. 153-156). IEEE International Conference on Image Processing.
https://doi.org/10.1109/ICIP.2003.1246639, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18018
Zhang, F., Chen, S., Xie, X., & Shum, H. (n.d.) Depth-Aware Endoscopic Video Inpainting. In 27th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI), 2024
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66924

Edited Books

Nithiarasu, P., Robertson, A., Etienne, B., Sazonov, I., & Xie, X. (Eds.). (2017). Proceedings of the 5th International Conference on Computational & Mathematical Biomedical Engineering. CMBE/ Zeta Computational Resources Ltd.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33106
http://www.compbiomed.net/2017/cmbe-proceedings.htm
Xie, X. (Ed.). (2013). Proceedings of the 3rd International Conference on Computational & Mathematical Biomedical Engineering.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20975
http://www.compbiomed.net/2019/cmbe-proceedings.htm
Xie, X. (Ed.). (2013). Proceedings of the 3rd International Conference on Computational & Mathematical Biomedical Engineering.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26142
http://www.compbiomed.net/2017/cmbe-proceedings.htm
Xie, X. (Ed.). (2013). Medical Image Understanding and Analysis 2012 Special Issue.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20961
http://www.bmva.org/annals:2013
Nithiarasu, P., Lohner, R., van Loon, R., Sazonov, I., & Xie, X. (Eds.). (2011). Proceedings of the 2nd International Conference on Mathematical and Computational Biomedical Engineering.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18013
http://www.compbiomed.net/2017/cmbe-proceedings.htm

Other Research Outputs

Wang, T., George, D., Lai, Y., Xie, X., & Tam, G. (n.d.) Consistent Segment-wise Matching with Multi-Layer Graphs
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49120
http://www.eguk.org.uk/CGVC2018/programme.html

Supervision

Untitled (current)

PhD

Other supervisor: Dr Betsy Dayana Marcela Chaparro Rico
Untitled (current)

PhD

Other supervisor: Prof Chenfeng Li
Untitled (current)

PhD

Other supervisor: Dr Eva C. Sonnenschein
An Advanced Quantitative Framework for Unsupervised Multi-Object Instance Segmentation: Integrating Latent Dynamics, Stochastic Geometry, Algebraic Topology, Persistent Homology and more (current)

PhD

Other supervisor: Dr Yuanbo Wu
Human Interfaces with Machine Learning Recognition Systems (current)

PhD

Other supervisor: Dr Mike Edwards
Deep Learning Methods for Language Generation and Its Applications in Economy and Healthcare (current)

PhD

Other supervisor: Dr Scott Yang
Explainable Deep Models to Empower Economic Growth for Small and Medium Enterprises (current)

PhD

Other supervisor: Dr Gary Tam

Other supervisor: Dr Kevin Mclafferty

Other supervisor: Dr Kevin Mclafferty
Predictive modelling for hyperspectral satellite images and crop yield: a generative data-driven strategy for understanding climate change induced challenges in Agriculture (current)

PhD

Other supervisor: Dr Sara Sharifzadeh
Machine Networks of Attention from Human Networks of Attention (current)

PhD

Other supervisor: Dr Joe Macinnes
Leveraging Machine Learning to Assist Medical Decision Making in Rare Disease. (current)

PhD

Other supervisor: Dr Daniele Cafolla
AI Methods for Crop Detection in Multi-Spectral Satellite Imagery (current)

PhD

Other supervisor: Dr Sara Sharifzadeh
The Assessment and Spotting of Generative Artificial Intelligence (current)

PhD

Other supervisor: Dr Yuanbo Wu
Federated Learning with Applications on Image Generation (current)

PhD

Other supervisor: Prof Jiaxiang Zhang
Text-Based Person Re-identification for Robustness Research (current)

PhD

Other supervisor: Prof Mark Jones

Other supervisor: Dr Scott Yang
Ear Biometrics (current)

PhD

Other supervisor: Dr Scott Yang
N/A. (current)

PhD

Other supervisor: Dr Scott Yang
A Framework for Evaluating Diagnostic Imaging Artificial Intelligence Medical Tools (current)

PhD

Other supervisor: Prof Matt Jones

Other supervisor: Dr Tom Owen
Predicting and Modeling Chronic Kidney Disease (CKD) (current)

PhD

Other supervisor: Dr Gary Tam
Medical Image Analysis for Lung and Heart Condition Diagnosis (current)

PhD

Other supervisor: Dr Zhan Li
Advanced Machine Learning to Improve Patient Outcome (current)

PhD

Other supervisor: Dr Gary Tam

Other supervisor: Dr Gary Tam

Other supervisor: Dr Gary Tam
Explainability and Uncertainty Quantification in Networks and Social Systems (awarded 2024)

PhD

Other supervisor: Dr Mike Edwards
Detecting and Correcting Steel Surface Properties using Machine Learning (current)

PhD

Other supervisor: Dr Gary Tam
Modelling High Fidelity Clinical Data with Interpretable Machine Learning for Rare event detection (current)

PhD

Other supervisor: Prof Alan Dix

Other supervisor: Dr Duncan Cole
Mining Invariants via State Space Embeddings and Dichotomous Correlation (current)

PhD

Other supervisor: Dr Mike Edwards

Other supervisor: Dr Liam O'Reilly
New Algorithms For Machine Learning And Explainable Artificial Intelligence (awarded 2023)

PhD

Other supervisor: Dr Benjamin Mora
Gradient Leakage and Protection for Federated Learning (awarded 2023)

PhD

Other supervisor: Dr Jingjing Deng
Deep Learning on Graphs: Directed Graphs, Edge Structures and Graph Estimation (awarded 2023)

PhD

Other supervisor: Dr Jingjing Deng
Delving into human visual attention for saliency detection of real-world images (awarded 2022)

PhD

Other supervisor: Dr Gary Tam
Irregular Domain Deep Learning (awarded 2023)

PhD

Other supervisor: Dr Gary Tam

Other supervisor: Dr Mike Edwards
Classification and Segmentation of Galactic Structures in Large Multi-spectral Images (awarded 2023)

PhD

Other supervisor: Prof Gianmassimo Tasinato
3D Medical Image Lossless Compressor Using Deep Learning Approaches (awarded 2022)

PhD

Other supervisor: Prof Mark Jones
Time-Series Embedded Feature Selection Using Deep Learning: Data Mining Electronic Health Records for Novel Biomarkers (awarded 2022)

PhD

Other supervisor: Dr Shang-Ming Zhou
Use of advanced analytics to predict defects in surface inspection systems (current)

EngD

Other supervisor: Prof Chenfeng Li
Face Reenactment with Generative Landmark Guidance (awarded 2023)

MSc

Other supervisor: Prof Mark Jones

Taught Modules

CS-M87 MRes Visual Computing Project

This module is the project phase of the MRes degree in Visual Computing.
CSC770 Visual Computing Project Development

In this module students will be presented with an overview of the research area of Visual Computing. They are introduced into the topic, the background and the aims of their project. They write a detailed specification which will be the basis of their research project. Guidance as to appropriate research methodologies is provided.
CSCM24 Artificial Intelligence Development & Solutions

In today's rapidly evolving landscape, artificial intelligence (AI) has become ubiquitous, used for analysing data, uncovering patterns, and making intelligent decisions. With AI serving as a cornerstone of modern problem-solving, industries worldwide are seeking a transformative shift for unlocking new opportunities. However, applying previously learnt AI concepts to address such real-world problems is not always straightforward. It requires critical thinking, problem-solving skills, and the ability to collaborate effectively in larger teams. This module exposes the student to such real-world scenarios, which are typical of industry and research projects. Students will use their knowledge of AI to develop intelligent solutions for making recommendations on a given problem where data and relevant information (such as project requirements) are made available. During the module, they will put theory into practice to deliver a summer group project and will be taught relevant methods for collaborative coding and writing, project management and planning, as well as rapid prototyping tools. The module will include seminars and (guest) lectures on commercial and/or research AI-driven projects.

Key Grants and Projects

National Edge AI Hub for Real Data, UKRI, led by Newcastle, Co-I (Swansea PI) 2024 - 2029

, £12M
EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems 2019 - 2027

, with Matt Jones (PI), £4,986,846.00
PARSER: Parking and AiR pollution SEnsoRs for Smart Cities 2019 - 2021

, with £319,514.40
Health Data Research UK - SUBSTANTIVE SITE OF THE UK INSTITUTE FOR HEALTH AND BIOMEDICAL INFORMATICS RESEARCH 2018

, with Ronan Lyons (PI), £3,986,334.06
Fraud Detection in Dual use of Goods using Explainable Machine Learning and Visual Analytics 2018 - 2019

, £172,139.08
Predictive Big Data Analytics for Human Health and Animal Wellbeing 2018 - 2020

, £63,082.35
EPSRC Data Release - Trust, Identity, Privacy and Security 2016 - 2020

, with Mark Jones (PI), £1.6M
EPSRC Industrial Case award with Tata Steel (EP/V519601/1) 2020 - 2024

, £116,928

Professor Xianghua Xie

Telephone number

Email address

Research Links

About

Areas Of Expertise

Career Highlights

Research Highlights

All Research

Untitled (current)

Untitled (current)

Untitled (current)

An Advanced Quantitative Framework for Unsupervised Multi-Object Instance Segmentation: Integrating Latent Dynamics, Stochastic Geometry, Algebraic Topology, Persistent Homology and more (current)

Human Interfaces with Machine Learning Recognition Systems (current)

Deep Learning Methods for Language Generation and Its Applications in Economy and Healthcare (current)

Explainable Deep Models to Empower Economic Growth for Small and Medium Enterprises (current)

Predictive modelling for hyperspectral satellite images and crop yield: a generative data-driven strategy for understanding climate change induced challenges in Agriculture (current)

Machine Networks of Attention from Human Networks of Attention (current)

Leveraging Machine Learning to Assist Medical Decision Making in Rare Disease. (current)

AI Methods for Crop Detection in Multi-Spectral Satellite Imagery (current)

The Assessment and Spotting of Generative Artificial Intelligence (current)

Federated Learning with Applications on Image Generation (current)

Text-Based Person Re-identification for Robustness Research (current)

Ear Biometrics (current)

N/A. (current)

A Framework for Evaluating Diagnostic Imaging Artificial Intelligence Medical Tools (current)

Predicting and Modeling Chronic Kidney Disease (CKD) (current)

Medical Image Analysis for Lung and Heart Condition Diagnosis (current)

Advanced Machine Learning to Improve Patient Outcome (current)

Explainability and Uncertainty Quantification in Networks and Social Systems (awarded 2024)

Detecting and Correcting Steel Surface Properties using Machine Learning (current)

Modelling High Fidelity Clinical Data with Interpretable Machine Learning for Rare event detection (current)

Mining Invariants via State Space Embeddings and Dichotomous Correlation (current)

New Algorithms For Machine Learning And Explainable Artificial Intelligence (awarded 2023)

Gradient Leakage and Protection for Federated Learning (awarded 2023)

Deep Learning on Graphs: Directed Graphs, Edge Structures and Graph Estimation (awarded 2023)

Delving into human visual attention for saliency detection of real-world images (awarded 2022)

Irregular Domain Deep Learning (awarded 2023)

Classification and Segmentation of Galactic Structures in Large Multi-spectral Images (awarded 2023)

3D Medical Image Lossless Compressor Using Deep Learning Approaches (awarded 2022)

Time-Series Embedded Feature Selection Using Deep Learning: Data Mining Electronic Health Records for Novel Biomarkers (awarded 2022)

Use of advanced analytics to predict defects in surface inspection systems (current)

Face Reenactment with Generative Landmark Guidance (awarded 2023)

CS-M87 MRes Visual Computing Project

CSC770 Visual Computing Project Development

CSCM24 Artificial Intelligence Development & Solutions

National Edge AI Hub for Real Data, UKRI, led by Newcastle, Co-I (Swansea PI) 2024 - 2029

EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems 2019 - 2027

PARSER: Parking and AiR pollution SEnsoRs for Smart Cities 2019 - 2021

Health Data Research UK - SUBSTANTIVE SITE OF THE UK INSTITUTE FOR HEALTH AND BIOMEDICAL INFORMATICS RESEARCH 2018

Fraud Detection in Dual use of Goods using Explainable Machine Learning and Visual Analytics 2018 - 2019

Predictive Big Data Analytics for Human Health and Animal Wellbeing 2018 - 2020

EPSRC Data Release - Trust, Identity, Privacy and Security 2016 - 2020

EPSRC Industrial Case award with Tata Steel (EP/V519601/1) 2020 - 2024