Rihuan Ke
Rihuan Ke
Lecturer, School of Mathematics, University of Bristol
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Cited by
Cited by
Preconditioning techniques for diagonal-times-Toeplitz matrices in fractional diffusion equations
J Pan, R Ke, MK Ng, HW Sun
SIAM Journal on Scientific Computing 36 (6), A2698-A2719, 2014
A fast direct method for block triangular Toeplitz-like with tri-diagonal block systems from time-fractional partial differential equations
R Ke, MK Ng, HW Sun
Journal of Computational Physics 303, 203-211, 2015
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
R Ke, AI Aviles-Rivero, S Pandey, S Reddy, CB Schönlieb
IEEE Transactions on Image Processing 31, 1805-1815, 2022
Learning to segment microscopy images with lazy labels
R Ke, A Bugeau, N Papadakis, P Schuetz, CB Schönlieb
European Conference on Computer Vision, 411-428, 2020
iUNets: learnable invertible up-and downsampling for large-scale inverse problems
C Etmann, R Ke, CB Schönlieb
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
Multi-task deep learning for image segmentation using recursive approximation tasks
R Ke, A Bugeau, N Papadakis, M Kirkland, P Schuetz, CB Schönlieb
IEEE Transactions on Image Processing 30, 3555-3567, 2021
iUNets: Fully invertible U-Nets with Learnable Up-and Downsampling
C Etmann, R Ke, CB Schönlieb
arXiv preprint arXiv:2005.05220, 2020
Characterization of extreme points of multi-stochastic tensors
R Ke, W Li, M Xiao
Computational Methods in Applied Mathematics 16 (3), 459-474, 2016
Numerical ranges of tensors
R Ke, W Li, MK Ng
Linear Algebra and its Applications 508, 100-132, 2016
Unsupervised Image Restoration Using Partially Linear Denoisers
R Ke, CB Schonlieb
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
A C-eigenvalue problem for tensors with applications to higher-order multivariate Markov chains
W Li, R Ke, WK Ching, MK Ng
Computers & Mathematics with Applications 78 (3), 1008-1025, 2019
Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems
R Ke, MK Ng, T Wei
SIAM Journal on Matrix Analysis and Applications 41 (4), 1857-1888, 2020
TrafficCAM: A versatile dataset for traffic flow segmentation
Z Deng, Y Chen, L Liu, S Wang, R Ke, CB Schonlieb, AI Aviles-Rivero
arXiv preprint arXiv:2211.09620, 2022
Backward errors of the linear complementarity problem
XP Wu, RH Ke
Numerical Algorithms 83 (3), 1249-1257, 2020
Reconstruction of the high resolution phase in a closed loop adaptive optics system
R Ke, R Wagner, R Ramlau, R Chan
SIAM Journal on Imaging Sciences 13 (2), 775-806, 2020
On the extreme points of slice-stochastic tensors
Y Liang, R Ke, W Li, LB Cui
Linear and Multilinear Algebra 70 (19), 3969-3981, 2022
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data
R Ke
IEEE Transactions on Image Processing, 2024
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Z Deng, R Ke, CB Schonlieb, AI Aviles-Rivero
Transactions on Machine Learning Research, 2024
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