Preconditioning Techniques for Diagonal-times-Toeplitz Matrices in Fractional Diffusion Equations. - Jianyu Pan; Rihuan Ke; Michael K. Ng 001; Hai-Wei Sun (SIAM J. Sci. Comput., 2014)

A fast direct method for block triangular Toeplitz-like with tri-diagonal block systems from time-fractional partial differential equations. - Rihuan Ke; Michael K. Ng 001; Hai-Wei Sun (J. Comput. Phys., 2015)

Characterization of Extreme Points of Multi-Stochastic Tensors. - Rihuan Ke; Wen Li 006; Mingqing Xiao 001 (Comput. Methods Appl. Math., 2016)

A C-eigenvalue problem for tensors with applications to higher-order multivariate Markov chains. - Wen Li 006; Rihuan Ke; Wai-Ki Ching; Michael K. Ng 001 (Comput. Math. Appl., 2019)

A multi-task U-net for segmentation with lazy labels. - Rihuan Ke; Aurélie Bugeau; Nicolas Papadakis; Peter Schütz; Carola-Bibiane Schönlieb (CoRR, 2019)

Learning to Segment Microscopy Images with Lazy Labels. - Rihuan Ke; Aurélie Bugeau; Nicolas Papadakis; Peter Schütz; Carola-Bibiane Schönlieb (ECCV Workshops (1), 2020)

iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems. - Christian Etmann; Rihuan Ke; Carola-Bibiane Schönlieb (MLSP, 2020)

iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling. - Christian Etmann; Rihuan Ke; Carola-Bibiane Schönlieb (CoRR, 2020)

Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System. - Rihuan Ke; Roland Wagner 001; Ronny Ramlau; Raymond H. Chan (SIAM J. Imaging Sci., 2020)

Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems. - Rihuan Ke; Michael K. Ng 001; Ting Wei (SIAM J. Matrix Anal. Appl., 2020)

Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. - Rihuan Ke; Aurélie Bugeau; Nicolas Papadakis; Mark Kirkland; Peter Schütz; Carola-Bibiane Schönlieb (IEEE Trans. Image Process., 2021)

Unsupervised Image Restoration Using Partially Linear Denoisers. - Rihuan Ke; Carola-Bibiane Schönlieb (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. - Rihuan Ke; Angelica I. Avilés-Rivero; Saurabh Pandey; Saikumar Reddy; Carola-Bibiane Schönlieb (IEEE Trans. Image Process., 2022)

Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation Without Clean Data. - Rihuan Ke (IEEE Trans. Image Process., 2024)

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. - Zhongying Deng; Rihuan Ke; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. - Zhongying Deng; Yanqi Cheng; Lihao Liu; Shujun Wang; Rihuan Ke; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (IEEE Trans. Intell. Transp. Syst., 2025)

Vehicle detection from GSV imagery: Predicting travel behaviour for cycling and motorcycling using Computer Vision. - Kyriaki Kokka; Rahul Goel; Ali Abbas; Kerry A. Nice; Luca Martial; S. M. Labib; Rihuan Ke; Carola-Bibiane Schönlieb; James Woodcock (CoRR, 2025)