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).
Nonconvex Optimization for Third Order Tensor Completion Under Wavelet Transform
C++ API for the BLAS of Tile Low-rank Matrix Algebra
Hierarchical Computations on Manycore Architectures
Video Denoising using Low Rank Matrix completion
XBorne tool
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
Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"
Regularized estimation of high-dimensional FAVAR models
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
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