Xiaohao Cai is a Lecturer (Assistant Professor equivalent) in the School of Electronics and Computer Science at the University of Southampton. He received his PhD degree in mathematics from The Chinese University of Hong Kong in 2012. He afterwards was a Postdoctoral Researcher at the Department of Mathematics of the Technische Universitat Kaiserslautern in Germany. After that he was a Wellcome Trust Research Fellow and Issac Newton Trust Research Fellow, affiliated with the Department of Plant Sciences, and Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. Thenceforth, before joining Southampton, he was a Research Fellow in the Mullard Space Science Laboratory (MSSL) at University College London (UCL).
He has broad multi-disciplinary research interests in applied mathematics, statistics, and computer science, with main focus and applications in image/signal/data processing, optimisation, machine learning and computer vision.
He is happy to consider PhD applications, etc.; more details click here.
PhD in Mathematics, 2012
The Chinese University of Hong Kong, Hong Kong
Master in Mathematics, 2008
Zhejiang University, Hangzhou, China
He has broad multi-disciplinary research interests in applied mathematics, statistics, and computer science, with main focus and applications in
In particular, he is also interested in, but not limited to
and their applications in, but not limited to
Conference & Seminar
30-min Talk, Recent Advances in Theories and Applications of Data Science, TSIMF, Sanya, China. 02–06 Dec. 2019
20-min Talk, 27th European Signal Processing Conference (EUSIPCO), A Coruna, Spain. 02–06 Sept. 2019
20-min Talk, Statistical Challenges in 21st Century Cosmology (COSMO21), Valencia, Spain. 22–25 May 2018
45-min Talk, One Day on Compressive Sensing – Advances in theory, algorithms, and applications, Bath, UK. 01 June 2017
30-min Talk, Turing/LMS Workshop – Inverse Problems and Data Science, Edinburgh, UK. 08–10 May 2017
30-min Talk, The Eighth International Conference – Inverse Problems: Modeling and Simulation, Fethiye, Turkey. 23–28 May 2016
50-min Talk, The Third International Workshop on Image Processing Techniques and Applications, incorporating Mathematical Imaging with Biomedical Applications, Liverpool, UK. 06–08 July 2015
5-min Talk, Challenges in Dynamic Imaging Data, Cambridge, UK. 09–11 June 2015
30-min Talk, SIAM Conference on Imaging Science (SIAM-IS14), Hong Kong. 12–14 May 2014
30-min Talk, SPOC 2013 (Int. Conf. Signal Processing, Optimization and Compressed Sensing), Harbin, China. 27–31 Dec. 2013
25-min Talk, 9th Intl. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR, 2013), Lund, Sweden. 19–21 Aug. 2013
30-min Talk, 11th European Congress of Stereology and Image Analysis 2013, Kaiserslautern, Germany. 08–12 July 2013
30-min Talk, The 9th East Asia SIAM Conference (EASIAM 2013), Bandung, Indonesia. 18–20 June 2013
15-min Talk, Student Paper Competition, IEEE-EMBS Hong Kong Chapter, HKPC Building, Hong Kong. 20 Aug. 2011
1-hour Talk, The School of Mathematics & Statistics, University of Glasgow, Glasgow, UK. 20 Nov. 2019
20-min Talk, Department of Physics and Mathematics, Nottingham Trent University, Nottingham, UK. 19 Nov. 2019
40-min Talk, School of Electronics and Computer Science, University of Southampton, Southampton, UK. 15 Nov. 2019
40-min Talk, Department of Mathematical Sciences, University of Essex, Colchester, UK. 13 Nov. 2019
1-hour Talk, DAMTP, Cambridge University, Cambridge, UK. 11 Nov. 2019
30-min Talk, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK. 01 July 2019
10-min Talk, (Astro Jamboree), Mullard Space Science Laboratory, University College London, Surry, UK. 13 Dec. 2018
1-hour Talk, DAMTP, Cambridge University, Cambridge, UK. 03 June 2016
1-hour Talk, Mullard Space Science Laboratory, University College London, Surry, UK. 13 May 2016
30-min Talk, Department of Computer Science, University of Dundee, Dundee, UK. 25 Feb. 2015
30-min Talk, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. 27 Jan. 2015
1-hour Talk, Department of Mathematics, Hong Kong Baptist University, Hong Kong. 22 Dec. 2014
25-min Talk, Division of Medical Physics, University of Leeds, Leeds, UK. 03 Dec. 2014
30-min Talk, VoxTox Progress Meeting, Cambridge University, Cambridge, UK. 08 Oct. 2014
25-min Talk, Young Scientist Award Competition, Hong Kong Institution of Science, Hong Kong. 06 Nov. 2013
1-hour Talk, Department of Mathematics, National University of Singapore, Singapore. 25 June 2013
1-hour Talk, Institute of Biomathematics and Biometry of Helmholtz Zentrum Muenchen, Munich, Germany. 14 May 2012
1-hour Talk, Department of Mathematics, Technische Universit"at Kaiserslautern, Kaiserslautern, Germany. 08 May 2012
Conference | Workshop
Uncertainty quantification and computational imaging workshop, Edinburgh, UK. 23–24 Apr. 2018}
Variational methods and effective algorithms for imaging and vision, Cambridge, UK. (29th Aug 2017–20th Dec 2017). 05–08 Nov. 2017
Poster, Workshop on New Mathematical Methods in Computational Imaging, Edinburgh, UK. 29 June 2017
Poster, 3rd UCL Workshop on the Theory of Big Data, London, UK. 26–28 June 2017
Poster, International BASP Frontiers workshop, Villars-sur-Ollon, Switzerland. 29 Jan.–03 Feb. 2017
SKA – Delivering the Science, Cambridge, UK. 12–13 Apr. 2016
SuSTaIn EdgeCutter One Day Workshop on High-dimensional Statistics, Inverse Problems and Convex Analysis, Royal Statistics Society, London, UK. 22 Mar. 2016
Data Science and Health Alan Turing Institute Summit, Cambridge, UK. 21 Sept. 2015
Software Carpentry Workshop, London, UK. 18–19 June 2015
Computational Radiotheray Symposium, Cambridge, UK. 17 June 2015
Cambridge SIAM Chapter Launch Conference, Cambridge, UK. 27 Apr. 2015
Plant Sciences Department Research Day, Cambridge, UK. 11 Dec. 2014
NC3Rs Follow-up Meeting, Oxford, UK. 19–23 Nov. 2014
NC3Rs/POEMS Network Maths Study Group: Apply Mathematics to 3Rs problems, Cambridge, UK. 09–12 Sept. 2014
A symposium to celebrate David Hanke's contribution to teaching and research in the Department, Cambridge, UK. 02 Sept. 2014
Chemical Safety Training, Cambridge, UK. 15 July 2014
Poster, Advances in Mathematical Image Processing (AIP), Annweiler, Germany. 30 Sept.–02 Oct. 2013
International Conference on Scientific Computing: In honor of Prof. Tony F. Chan at his 60th birthday for his contributions to Scientific Computing, Hong Kong. 4–7 Jan. 2012
Opening Workshop of the Forth International Summer School on Numerical Linear Algebra, Guiyang, China. 14–30 July 2011
The 3rd Workshop on Numerical Algebra and Scientific Computation, Hong Kong. 26–27 Mar. 2011
Please refer to my google scholar for my full publication list »
X. Cai, R. Chan, X. Xie, and T. Zeng. A Two-stage Classification Method for High-dimensional Data and Point Clouds. (arXiv: 1905.08538). Submitted.
J. Lee, X. Cai, B. Li, J. Wu, Y. Cui, and R. Li. A Graph-based Method for Genomic Analysis - Data Integration with Bias Correction. Submitted.
L. Pratleya, J. McEwen, M. D'Avezac, X. Cai, D. Perez-Suarez, I. Christidi, and R. Guichard. Distributed and Parallel Sparse Convex Optimization for Radio Interferometry with PURIFY. (arXiv: 1903.04502). Astronomy and Computing, under review.
M. Price, J. McEwen, X. Cai, T. Kitching, and C. G. R. Wallis. Sparse Bayesian Mass-mapping with Uncertainties: Hypothesis Testing of Structure. (arXiv:1812.04014). Monthly Notices of the Royal Astronomical Society (MNRAS), under review.
K. Mai, W-T. Yeung, S.-Y. Han, X. Cai, I. Hwang, and B.-H. Kang. Electron Tomography Analysis of Thylakoid Assembly and Fission in the Chloroplasts of a Single-Cell C4 plant, Bienertia sinuspersici. Accepted for publication on Scientific Reports (Nature), 2019.
M. Price, X. Cai, J. McEwen, M. Pereyra, and T. Kitching. Sparse Bayesian Mass-mapping with Uncertainties: Local Credible Intervals. (arXiv:1812.04017). Accepted for publication on Monthly Notices of the Royal Astronomical Society (MNRAS), 2019.
X. Cai, C. Wallis, J. Chan, and J. McEwen. Wavelet-based Segmentation on the Sphere. (arXiv:1609.06500). Accepted for publication on Pattern Recognition, 2019.
J. Williams, C.-B. Schonlieb, T. Swinfield, J. Lee, X. Cai, L. Qie, and D. Coomes. Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC). (arXiv: 1903.08481). Accepted for publication on IEEE Transactions on Geoscience and Remote Sensing, 2019.
X. Cai, R. Chan, C.-B. Schonlieb, G. Steidl, and T. Zeng. Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. SIAM Journal on Scientific Computing, 41(6):B1310–B1340, 2019.
M. Price, J. McEwen, X. Cai, and T. Kitching. Sparse Bayesian Mass-mapping with Uncertainties: Peak Statistics and Feature Locations. Monthly Notices of the Royal Astronomical Society (MNRAS), 489(3):3236–3250, 2019.
X. Cai, M. Pereyra, and J. McEwen. Quantifying Uncertainty in High Dimensional Inverse Problems by Convex Optimisation. European Signal Processing Conference (EUSIPCO), 2019.
X. Cai, L. Pratley, and J. McEwen. Online Radio Interferometric Imaging: Assimilating and Discarding Visibilities on Arrival. Monthly Notices of the Royal Astronomical Society (MNRAS), 485(4):4559–4572, 2019.
X. Cai, R. Chan, H. Yang, and T. Zeng. Smoothing and Thresholding - a Flexible Methodology for Image Segmentation. SIAM news, 2019.
X. Cai, M. Pereyra, and J. McEwen. Uncertainty Quantification for Radio Interferometric Imaging: II. MAP Estimation. Monthly Notices of the Royal Astronomical Society (MNRAS), 480(3):4170–4182, 2018.
X. Cai, M. Pereyra, and J. McEwen, Uncertainty Quantification for Radio Interferometric Imaging: I. Proximal MCMC Methods. Monthly Notices of the Royal Astronomical Society (MNRAS), 480(3):4154–4169, 2018.
With N. Burnet, et al. Applying Physical Science Techniques and CERN Technology to an Unsolved Problem in Radiation Treatment for Cancer: the Multidisciplinary “VoxTox” Research Programme. CERN IdeaSquare Journal of Experimental Innovation, 1(1):3, DOI: http://dx.doi.org/10.23726/cij.2017.457, 2017.
X. Cai, R. Chan, M. Nikolova, and T. Zeng. A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). Journal of Scientific Computing, 72(3):1313–1332, 2017.
B. Bauer, X. Cai, S. Peth, K. Schladitz, and G. Steidl. Variational-based Segmentation of Biopores in Tomographic Images. Computers & Geosciences, 98:1–8, 2017.
J. Lee, X. Cai, M. Dalponte, Y. Malhi, N. Butt, M. Morecroft, C.-B. Schonliev, and D. Cooms. Individual Tree Species Classification from Airborne Multisensor Imagery Using Robust PCA. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(6):2554–2667, 2016.
X. Cai, C.B. Schonlieb, J. Lee, J. Scaife, K. Harrison, M. Sutcliffe, M. Parker and N. Burnet. Automatic Contouring of Soft Organs for Image-guided Prostate Radiotherapy. Radiother Oncol., 119 (suppl 1):S895–896, 2016.
J. Lee, X. Cai, C.-B. Schonlieb, and D. Coomes. Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes. IEEE Transactions on Geoscience and Remote Sensing, 99:1–12, 2015.
J. Lee, X. Cai, C.-B. Schonlieb, and D. Coomes. Mapping Individual Trees from Airborne Multi- sensor Imagery. International Geoscience and Remote Sensing Symposium (IGRSS), IEEE Geoscience and Remote Sensing Society, 2015.
J. Scaife, K. Harrison, A. Drew, X. Cai, et al. Accuracy of Manual and Automated Rectal Contours Using Helical Tomotherapy Image Guidance Scans during Prostate Radiotherapy. J. Clin. Oncol., 33:94–94, 2015.
X. Cai. Variational Image Segmentation Model Coupled with Image Restoration Achievements. Pattern Recognition, 48:2029–2042, 2015.
X. Cai, J. Fitschen, M. Nikolova, G. Steidl, and M. Storath. Disparity and Optical Flow Partitioning Using Extended Potts Priors. Information and Inference: A Journal of the IMA, 4(1):43–62, 2015.
X. Cai and G. Steidl. Multiclass Segmentation by Iterated ROF Thresholding. EMMCVPR(2013), Lecture Notes in Computer Science, 8081:237–250, Springer, 2013.
X. Cai, R. Chan, S. Morigi, and F. Sgallari. Vessel Segmentation in Medical Imaging Using a Tight-Frame Based Algorithm. SIAM Journal on Imaging Sciences, 6(1):464–486, 2013.
X. Cai, R. Chan, and T. Zeng. A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding. SIAM Journal on Imaging Sciences, 6(1):368–390, 2013.
X. Cai, R. Chan, Serena Morigi, and Fiorella Sgallari. Framelet-Based Algorithm for Segmentation of Tubular Structures. SSVM(2011), Lecture Notes in Computer Science, 6667:411–422, Springer, 2012.