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Education and Career

11/18 - now: Postdoc Research Associate, DAMTP, University of Cambridge

08/15 - 07/18: PhD Student, The Chinese University of Hong Kong

 

Research

I am a Research Associate at the Department of Applied Mathematics and Theoretical Physics. My research interests are Machine learning for image segmentation, inverse problem, image processing and numerical linear algebra

 

My google scholar profile.

 

 

Selected Publications

Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schuetz, and Carola-Bibiane Schönlieb. Multi-task deep learning for image segmentation using recursive approximation tasks. arXiv preprint arXiv:2005.13053 (2020). https://arxiv.org/abs/2005.13053
 

Rihuan Ke, Roland Wagner, Ronny Ramlau, and Raymond Chan. Reconstruction of the high resolution phase in a closed loop adaptive optics system. SIAM Journal on Imaging Sciences 13, no. 2 (2020): 775-806. https://doi.org/10.1137/19M1258426

 

 

Publications

Unsupervised Image Restoration Using Partially Linear Denoisers
R Ke, C-B Schonlieb
– IEEE transactions on pattern analysis and machine intelligence
(2021)
PP,
1
Learning to Segment Microscopy Images with Lazy Labels
R Ke, A Bugeau, N Papadakis, P Schuetz, CB Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2021)
12535 LNCS,
411
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.
R Ke, A Bugeau, N Papadakis, M Kirkland, P Schuetz, C-B Schonlieb
– IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
(2021)
30,
3555
Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems
R Ke, MK Ng, T Wei
– SIAM Journal on Matrix Analysis and Applications
(2020)
41,
1857
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems
C Etmann, R Ke, CB Schonlieb
– PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)
(2020)
2020-September,
1
Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics
R Ke, R Wagner, R Ramlau, R Chan
– SIAM Journal on Imaging Sciences
(2020)
13,
775

Research Group

Cambridge Image Analysis

Room

F2.08

Telephone

01223 337867