Codes for "A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning (WWW 2021)".
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Updated
Sep 29, 2021
Codes for "A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning (WWW 2021)".
Official repository for the ICASSP 2024 paper 'Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning'.
Implementation of the channel estimator based on Mixture of Factor Analyzers (MFA).
Python code for "Deep Unfolding Tensor Rank Minimization with Generalized Detail Injection for Pansharpening"
Nonconvex Optimization for Third Order Tensor Completion Under Wavelet Transform
Hierarchical Computations on Manycore Architectures
C++ API for the BLAS of Tile Low-rank Matrix Algebra
XBorne tool
Video Denoising using Low Rank Matrix completion
Python code and data for "Attention-Guided Low-Rank Tensor Completion"
Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.
mfair: Matrix Factorization with Auxiliary Information in R
Sparse and Low-Rank Paradigm Free Mapping.
Fast algorithms for volume-based CUR low-rank approximation and their application to nonnegative matrix approximation and matrix completion problems.
Demo code for CVPR2023 paper "Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers"
Lowrankdensity
Voice Music Separation competing for 6th Huawei Cup in ZJU
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
Regularized estimation of high-dimensional FAVAR models
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