wanghailin97
Hailin Wang is currently pursuing the PhD. degree with the School of Mathematics and Statistics, Xi'an Jiaotong University, supervised by Prof. Deyu Meng.
Pinned Repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Estimating-Structural-Missing-Values-Via-Low-Tubal-Rank-Tensor-Completion
The code of the paper "Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion", in ICASSP 2020
Generalized-Nonconvex-Approach-for-Low-Tubal-Rank-Tensor-Recovery
The released code of IRTNN algorithm, mainly proposed in the paper "Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery" pubiliahed in TNNLS 2022
Guaranteed-Tensor-Recovery-Fused-Low-rankness-and-Smoothness
The released code of t-CTV algorithms, mainly proposed in the paper "Guaranteed Tensor Recovery Fused Low-rankness and Smoothness"， published in TPAMI 2023
Hyperspectral-Image-Denoising-Benchmark
A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.
Hyperspectral-Image-Denoising-via-Nonlocal-Spectral-Sparse-Subspace-Representation
HSI Denoising via Nonlocal Spectral Sparse Subspace Representation
Image-Denoising-State-of-the-art
LibADMM-toolbox
A Library of ADMM for Sparse and Low-rank Optimization
Low-Rank-High-Order-Tensor-Completion-With-Applications-in-Visual-Data
The high-order TSVD toolbox and the code of Low-Rank High-Order Tensor Completion With Applications in Visual Data
tensorly
TensorLy: Tensor Learning in Python.
wanghailin97's Repositories
wanghailin97/Guaranteed-Tensor-Recovery-Fused-Low-rankness-and-Smoothness
The released code of t-CTV algorithms, mainly proposed in the paper "Guaranteed Tensor Recovery Fused Low-rankness and Smoothness"， published in TPAMI 2023
wanghailin97/Generalized-Nonconvex-Approach-for-Low-Tubal-Rank-Tensor-Recovery
The released code of IRTNN algorithm, mainly proposed in the paper "Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery" pubiliahed in TNNLS 2022
wanghailin97/tensorly
TensorLy: Tensor Learning in Python.
wanghailin97/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
wanghailin97/Estimating-Structural-Missing-Values-Via-Low-Tubal-Rank-Tensor-Completion
The code of the paper "Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion", in ICASSP 2020
wanghailin97/Hyperspectral-Image-Denoising-Benchmark
A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.
wanghailin97/Hyperspectral-Image-Denoising-via-Nonlocal-Spectral-Sparse-Subspace-Representation
HSI Denoising via Nonlocal Spectral Sparse Subspace Representation
wanghailin97/Image-Denoising-State-of-the-art
wanghailin97/LibADMM-toolbox
A Library of ADMM for Sparse and Low-rank Optimization
wanghailin97/Low-Rank-High-Order-Tensor-Completion-With-Applications-in-Visual-Data
The high-order TSVD toolbox and the code of Low-Rank High-Order Tensor Completion With Applications in Visual Data
wanghailin97/LRTC-3DST
\The released code of LRTC-3DST algorithm, mainly proposed in the paper "Low-Rank Tensor Completion with 3D Spatiotemporal Transform for Traffic Data Imputation",
wanghailin97/phase-recovery
Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
wanghailin97/pykan
Kolmogorov Arnold Networks
wanghailin97/TensorNetwork
A library for easy and efficient manipulation of tensor networks.
wanghailin97/tntorch
Tensor Network Learning with PyTorch