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<html>
<head>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<link rel="stylesheet" type="text/css" href="style.css" />
<title>Wei He (Research Scientist at RIKEN-AIP)</title>
</head>
<body>
<h1 style="padding-left: 0.5em">Wei He (Research Scientist at RIKEN-AIP)</h1><hr>
<table summary="Table for page layout." id="tlayout">
<tr valign="top">
<td id="layout-menu">
<div class="menu-item"><a href="index.html">Home</a></div>
<div class="menu-item"><a href="publication.html" class="current">Publications</a></div>
<div class="menu-item"><a href="FundingAward.html">Funding&Awards</a></div>
<div class="menu-item"><a href="activities.html" >Activities</a></div>
</td>
<td id="layout-content">
<h1 style="margin-top: 0em">Publications</h1><br>
<p>[ <a href="#preprint">Preprints</a>,
<a href="#book chapters">Book Chapters</a>,
<a href="#journal">Journals</a>,
<a href="#conference">Conferences</a>,
<a href="#thesis">Theses</a> ]</p>
<p>An asterisk (*) stands for the corresponding author.</p>
<div>
<h2><hr><a name="preprint"></a>Preprints</h2>
<ol reversed>
</ol>
</div>
<div>
<h2><hr><a name="book chapters"></a>Book Chapters</h2>
<ol reversed>
<li><p>
Wei He, Danfeng Hong, Giuseppe Scarpa, Tatsumi Uezato, and Naoto Yokoya,<br>
"Multisource Remote Sensing Image Fusion," <br>
Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences,<br>
In <i><a href="https://www.wiley.com/en-us/" target="_blank"> John Wiley & Sons </a></i>, 2021.<br>
<a href="https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119646181.ch10" style="color: blue"> [link] </a>
<a href="https://onlinelibrary.wiley.com/action/showCitFormats?doi=10.1002%2F9781119646181.ch10" style="color: blue"> [cite] </a>
</p></li>
</ol>
</div>
<div>
<h2><hr><a name="journal"></a>Journals</h2>
<ol reversed>
<li><p>
Wei He, Ruoyao Xue, Fangxiao Lu, Jinjun Xu, Hongyan Zhang, <br>
"KDGraph: A Keypoint Detection Method for Road Graph Extraction from Remote Sensing Images", <br>
IEEE TGRS, 2025. </a>
<a href="https://www.sciencedirect.com/science/article/abs/pii/S092427162400426X" style="color: blue"> [paper] </a>
<a href="https://github.com/ruoyxue/KDGraph" style="color: blue"> [code] </a>
</p></li>
<li><p>
Jiepan Li, Wei He*, Zhuohong Li, Yujun Guo, Hongyan Zhang, <br>
"Overcoming the uncertainty challenges in detecting building changes from remote sensing images", <br>
ISPRS, 2025. </a>
<a href="https://ieeexplore.ieee.org/document/10812705" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Jiepan Li, Yipan Wei, Tiangao Wei, Wei He*, <br>
"A Comprehensive Deep-Learning Framework for Fine-Grained Farmland Mapping from High-Resolution Images", <br>
IEEE TGRS, 2025. </a>
</p></li>
<li><p>
Yuyan Liu, Wei He, Hongyan Zhang, <br>
"GRiD: Guided Refinement for Detector-free Multimodal Image Matching", <br>
TIP, 2024. </a>
</p></li>
<li><p>
Xiao An, Wei He*, Jiaqi Zou, Guangyi Yang, Hongyan Zhang, <br>
"Pretrain a Remote Sensing Foundation Model by Promoting Intra-instance Similarity", <br>
TGRS, 2024. </a>
<a href="https://ieeexplore.ieee.org/document/10697182" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Jiaqi Zou, Wei He, Hongyan Zhang, <br>
"PSFormer: Pyramid Superpixel Transformer for Hyperspectral Image Classification", <br>
TGRS, 2024. </a>
<a href="https://ieeexplore.ieee.org/document/10695122" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Mofan Cheng, Wei He, Zhuohong Li, Guangyi Yang, Hongyan Zhang, <br>
"Harmony in diversity: Content cleansing change detection framework for very-high-resolution remote-sensing images", <br>
ISPRS, 2024. </a>
<a href="https://www.sciencedirect.com/science/article/pii/S092427162400340X" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Yong Chen, Jinshan Zeng, Wei He*, Xi-Le Zhao, Tai-Xiang Jiang, Qing Huang, <br>
"Fast Large-Scale Hyperspectral Image Denoising via Non-Iterative Low-Rank Subspace Representation", <br>
TGRS, 2024. </a>
<a href="https://ieeexplore.ieee.org/document/10677367" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Linxin Li, Ting Hu, Guangyi Yang, Wei He, Hongyan Zhang, <br>
"High-resolution comprehensive regional development mapping using multisource geographic data", <br>
Sustainable Cities and Society, 2024. </a>
</p></li>
<li><p>
Wei He*, Zongliang Wu, Naoto Yokoya, and Xin Yuan, <br>
"An Interpretable and Flexible Fusion Prior to Boost Hyperspectral Imaging Reconstruction", <br>
Information Fusion, 2024. </a>
</p></li>
<li><p>
He Huang, Wei He*, Hongyan Zhang, Yu Xia, and Liangpei Zhang, <br>
"STFDiff: Remote sensing image spatiotemporal fusion with diffusion models", <br>
Information Fusion, 2024. </a>
</p></li>
<li><p>
Yang Zhou, Yong Chen, Jinshan Zeng, Wei He, and Min Huang, <br>
"Unidirectional Spatial and Spectral Smoothed Tensor Ring Decomposition for Hyperspectral Image Denoising and Destriping", <br>
GRSL, 2024. </a>
</p></li>
<li><p>
Jiaxing Sun, Wei He, and Hongyan Zhang, <br>
"G2LDIE: Global-to-Local Dynamic Information Enhancement Framework for Weakly Supervised Building Extraction from Remote Sensing Images", <br>
TGRS, 2024. </a>
</p></li>
<li><p>
Wei He, Mengyuan Wang, Yong Chen, and Hongyan Zhang, <br>
"An Unsupervised Dehazing Network with Hybrid Prior Constraints for Hyperspectral Image", <br>
TGRS, 2024. </a>
</p></li>
<li><p>
Guoying Yin, Wei He, Wenbin Liu, Xiangyu Liu, Yu Xia, Hongyan Zhang, <br>
"Drought stress and its characteristics in China from 2001 to 2020 considering vegetation response and drought creep effect", <br>
Journal of Hydrology: Regional Studies, 2024. </a>
</p></li>
<li><p>
Guoying Yin, Wei He, Xiangyu Liu, Yu Xia, Hongyan Zhang, <br>
"Wetting or greening? Probing the global trends in Vegetation Condition Index (VCI)", <br>
JAG, 2024. </a>
<a href="https://www.sciencedirect.com/science/article/pii/S1569843224001766" style="color: blue"> [paper] </a>
</p></li>
<li><p>
dongyi Li , dong Chu , Xiaobin Guan , Wei He , Huanfeng Shen, <br>
"Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping", <br>
TGRS, 2024. </a>
</p></li>
<li><p>
Yu Xia, Wei He, Qi Huang, Guoying Yin, Wenbin Liu, Hongyan Zhang, <br>
"CRformer: Multi-modal data fusion to reconstruct cloud-free optical imagery", <br>
JAG, 2024. </a>
<a href="https://www.kaggle.com/datasets/yuxiawhu/extra-data-in-smile" style="color: blue"> [code] </a>
<a href="https://www.kaggle.com/datasets/yuxiawhu/smile-cr" style="color: blue"> [SMILE-CR数据] </a>
</p></li>
<li><p>
Man Liu, Wei He, Hongyan Zhang, <br>
"WPS: A whole phenology-based spectral feature selection method for mapping winter crop from time-series images", <br>
ISPRS Journal of Photogrammetry and Remote Sensing, 2024. </a>
</p></li>
<li><p>
Jiepan Li, Wei He*, Weinan Cao, Liangpei Zhang, Hongyan Zhang, <br>
"UANet: an Uncertainty-Aware Network for Building Extraction from Remote Sensing Images", <br>
TGRS, 2024. </a>
<a href="https://ieeexplore.ieee.org/document/10418227" style="color: blue"> [paper] </a>
<a href="https://github.com/Henryjiepanli/Uncertainty-aware-Network/" style="color: blue"> [github] </a>
(<font color="#FF0000"><b>ESI highly cited paper</b></font>)
</p></li>
<li><p>
Yong Chen, Wenzhen Lai, Wei He*, Xi-Le Zhao, Jinshan Zeng*, <br>
"Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network", <br>
TIP, 2024. </a>
<a href="https://ieeexplore.ieee.org/abstract/document/10411766" style="color: blue"> [paper] </a>
(<font color="#FF0000"><b>highly cited paper</b></font>)
</p></li>
<li><p>
Yong Chen, Maolin Chen, Wei He, Jinshan Zeng, Min Huang, Yu-Bang Zheng, <br>
"Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network", <br>
TGRS, 2024. (<font color="#FF0000"><b>ESI highly cited paper</b></font>) </a>
<a href="https://ieeexplore.ieee.org/abstract/document/10414167" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Yu Xia, Wei He, Qi Huang, Hongyu Chen, He Huang, Hongyan Zhang, <br>
"SOSSF: Landsat-8 image synthesis on the blending of Sentinel-1 and MODIS data", <br>
TGRS, 2024. </a>
<a href="https://ieeexplore.ieee.org/abstract/document/10401024" style="color: blue"> [paper] </a>
<a href="https://github.com/whuyuxia/SMILEcode" style="color: blue"> [code] </a>
<a href="https://www.kaggle.com/datasets/yuxiawhu/smile" style="color: blue"> [SMILE数据] </a>
</p></li>
<li><p>
Xiaobin Xu, Wei He, Hongyan Zhang, <br>
"Random hierarchical model for estimation of wheat yield in the North China Plain at different spatial scales", <br>
Field Crops Research, 2023. </a>
<a href="https://github.com/prowDIY/weihe.github.io/blob/gh-pages/papers/Xiaobin-main.pdf" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Xiaobin Xu, Wei He, Hongyan Zhang, <br>
"A novel habitat adaptability evaluation indicator (HAEI) for predicting yield of county-level winter wheat in China base on multisource climate data from 2001 to 2020", <br>
International Journal of Applied Earth Observation and Geoinformation (JAG), 2023. </a>
</p></li>
<li><p>
Yujun Guo, Wei He, Yu Xia, Hongyan Zhang, <br>
"Blind Single-Image-based Thin Cloud Removal using a Cloud Perception Integrated Fast Fourier Convolutional Network", <br>
ISPRS, 2023. </a>
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0924271623002903" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Xiangyu Liu, Wei He, Wenbin Liu, Guoying Yin, Hongyan Zhang, <br>
"Mapping annual center-pivot irrigated cropland in Brazil during the 1985–2021 period with cloud platforms and deep learning", <br>
ISPRS, 2023.
</p></li>
<li><p>
Yuyan Liu, Wei He, and Hongyan Zhang, <br>
"GLoCNet:Robust Feature Matching with Global-local Consistency Network for Remote Sensing Image Registration", <br>
TGRS, 2023.
<a href="https://github.com/yiqing18/GLoCNet" style="color: blue">[code]</a>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10271330" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Lei Hu, Wei He*, Liangpei Zhang, and Hongyan Zhang, <br>
"Cross-Domain Meta-Learning under Dual Adjustment Mode for Few-Shot Hyperspectral Image Classification", <br>
TGRS, 2023.
<a href="https://github.com/HlEvag/DMCM" style="color: blue">[code]</a>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10268033" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Zhuohong Li, Wei He, Mofan Cheng, Jingxin Hu, Guangyi Yang, and Hongyan Zhang, <br>
"SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data",<br>
Earth System Science Data, 2023. (<font color="#FF0000"><b>ESI highly cited paper</b></font>)
<a href="https://essd.copernicus.org/preprints/essd-2023-87/" style="color: blue"> [paper]
<a href="https://zenodo.org/record/8105314" style="color: blue"> [data] </a>
</p></li>
<li><p>
Xueyao Xiao, Wei Zhang, Yi Chang, Shuning Cao, Wei He, Houzhang Fang, and Luxin Yan, <br>
"Content-Aware Subspace Low-Rank Tensor Recovery for Hyperspectral Image Restoration",<br>
TGRS, 2023.
</p></li>
<li><p>
Yong Chen, Xinfeng Gui, Jinshan Zeng, Xi-Le Zhao, and Wei He, <br>
"Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging",<br>
IEEE Transactions on Neural Networks and Learning Systems, 2023.
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10190167" style="color: blue"> [link] </a>
</p></li>
<li><p>
Mengyuan Wang, Wei He*, Hongyan Zhang, <br>
"A Spatial-Spectral Transformer Network with Total Variation Loss for Hyperspectral Image Denoising",<br>
GRSL, 2023.
</p></li>
<li><p>
Xiangyu Liu, Wei He, Hongyan Zhang, <br>
"Cross-region plastic greenhouse segmentation and counting using the style transfer and dual-task networks",<br>
Computers and Electronics in Agriculture, 2023.
</p></li>
<li><p>
Renwei Dian, Tianci Shan, Wei He, Haibo Liu, <br>
"Spectral Super-Resolution via Model-Guided Cross-Fusion Network",<br>
IEEE Transactions on Neural Networks and Learning Systems, 2023.
</p></li>
<li><p>
Wei He, Tatsumi Uezato, Naoto Yokoya, <br>
"Interpretable Deep Attention Prior for Image Restoration and Enhancement",<br>
IEEE Transactions on Computational Imaging, 2023.
</p></li>
<li><p>
Hao Zhang, Ting-Zhu Huang, Xi-Le Zhao, Wei He, Jae Kyu Choi, Yu-Bang Zheng, <br>
"Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain",<br>
TGRS, 2023.
</p></li>
<li><p>
Ziqiao Wang, Hongyan Zhang, Wei He, Liangpei Zhang, <br>
"Cross-phenological-region crop mapping framework using Sentinel-2 time series Imagery: A new perspective for winter crops in China",<br>
ISPRS Journal of Photogrammetry and Remote Sensing, 2022.
</p></li>
<li><p>
Yong Chen, Wei He, Xi-Le Zhao, Ting-Zhu Huang, Jinshan Zeng, Hui Lin, <br>
"Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising",<br>
TGRS, 2022.
</p></li>
<li><p>
Jingyi Cai, Wei He, Hongyan Zhang, <br>
"Anisotropic Spatial–Spectral Total Variation Regularized Double Low-Rank Approximation for HSI Denoising and Destriping",<br>
TGRS, 2022.
</p></li>
<li><p>
Jiaqi Zou, Wei He,Hongyan Zhang, <br>
"LESSFormer: Local-Enhanced Spectral-Spatial Transformer for Hyperspectral Image Classification",<br>
TGRS, 2022.
</p></li>
<li><p>
Hongyan Zhang, Fangfang Xiao, Wei He, Zhaoyang Chai, Hong-Tat Ewe, <br>
"Multi-year automated mapping and price analysis of garlic in main planting areas of China using time series remote sensing images",<br>
JSTARS, 2022.
</p></li>
<li><p>
Huilin Xu, Wei He, Liangpei Zhang,Hongyan Zhang, <br>
"Unsupervised Spectral-Spatial Semantic Feature Learning for Hyperspectral Image Classification",<br>
TGRS, 2022.
</p></li>
<li><p>
Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao,Ting-Zhu Huang, <br>
"Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition",<br>
TGRS, 2021.
</p></li>
<li><p>
Yong Chen, Ting-Zhu Huang, Wei He, Xi-Le Zhao, Hongyan Zhang, Jinshan Zeng, <br>
"Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation",<br>
TGRS, 2021.
<a href="https://chenyong1993.github.io/yongchen.github.io/papers/2021/2021-TGRS-FGSLR.pdf" style="color: blue">[pdf]</a>
<a href="https://chenyong1993.github.io/yongchen.github.io/papers/2021/FGSLR_code.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
Wei He, Yong Chen, Naoto Yokoya, Chao Li, and Qibin Zhao,<br>
"Hyperspectral super-resolution via coupled tensor ring factorization",<br>
Pattern Recognition, 2021.
<a href="https://arxiv.org/abs/2001.01547/" style="color: blue"> [arXiv] </a>
<a href="papers/PR_CNMF.pdf" style="color: blue"> [link] </a>
<a href="code/CTR_PR.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
Wei He*, Naoto Yokoya, Xin Yuan,<br>
"Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-iterative Subspace-based Fusion,"<br>
TIP2021. <a href="https://arxiv.org/abs/2012.15104" style="color: blue">[arXiv]</a>
<a href="code/PFusion_upload.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
Xianwei Zheng, Xiujie Wu, Linxi Huan, Wei He*, Hongyan Zhang,<br>
"A Gather-to-Guide Network for Remote Sensing Semantic Segmentation of RGB and Auxiliary Image",<br>
TGRS2021.
<a href="papers/G2GNet.pdf" style="color: blue">[pdf]</a>
</p></li>
<li><p>
Linxi Huan, Nan Xue, Xianwei Zheng, Wei He, Jianya Gong, Gui-Song Xia,<br>
"Unmixing Convolutional Features for Crisp Edge Detection",<br>
TPAMI2021.(Accepted) <a href="https://arxiv.org/abs/2011.09808" style="color: blue">[arXiv]</a>
<a href="https://github.com/WHUHLX/CATS" style="color: blue">[code]</a>
</p></li>
<li><p>
Yuting Wan, Ailong Ma, Wei He, Yanfei Zhong, <br>
"Accurate Multi-Objective Low-Rank and Sparse Model for Hyperspectral Image Denoising Method",<br>
IEEE Transactions on Evolutionary Computation 2021.
(<font color="#FF0000"><b>ESI highly cited paper</b></font>)
</p></li>
<li><p>
Hongyan Zhang, Jinyi Cai, Wei He*, Liangpei Zhang,<br>
"Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping",<br>
TGRS2021.
(<font color="#FF0000"><b>ESI highly cited paper</b></font>)
<a href="papers/DLR.pdf" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Danfeng Hong, Wei He*, Naoto Yokoya, Jing Yao, Lianru Gao*, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu, <br>
"Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing",<br>
IEEE Geoscience and Remote Sensing Maganize 2021.
(<font color="#FF0000"><b>ESI hot paper, highly cited paper</b></font>)
<a href="https://arxiv.org/abs/2103.01449" style="color: blue">[arXiv]</a>
</p></li>
<li><p>
Naoto Yokoya, Kazuki Yamanoi, Wei He, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi,<br>
"Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping", <br>
TGRS2020. (<font color="#FF0000"><b>highly cited paper</b></font>)
<a href="https://arxiv.org/abs/2006.05180" style="color: blue">[arXiv]</a>
</p></li>
<li><p>
Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang, <br>
"Non-local Meets Global: An Integrated Paradigm for Hyperspectral Restoration", <br>
TPAMI 2020.
(<font color="#FF0000"><b>highly cited paper</b></font>)
<a href="code/NGmeet1.rar" style="color: blue">[NGmeet_denoising]</a>
<a href="code/NGmeet_CS.zip" style="color: blue">[NGmeet_CS]</a>
<a href="https://arxiv.org/abs/2010.12921" style="color: blue">[arXiv]</a>
</p></li>
<li><p>
Yong Chen, Ting-Zhu Huang*, Wei He*, Naoto Yokoya, Xi-Le Zhao, <br>
"Hyperspectral Image Compressive Sensing Reconstruction Using Subspace-based Non-local Tensor Ring Decomposition", <br>
TIP 2020. <a href="https://chenyong1993.github.io/yongchen.github.io/papers/2020/2020-TIP.pdf" style="color: blue">[pdf]</a>
</p></li>
<li><p>
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Yong Chen, Wei He, <br>
"Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image", <br>
TGRS 2020. <a href="https://yubangzheng.github.io/codes/code_LRTFDFR.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
Gerald Baier, Wei He, Naoto Yokoya, <br>
"Robust nonlocal low-rank SAR time series despeckling considering speckle correlation by total variation regularization",<br>
TGRS 2020. <a href="https://github.com/gbaier/nllrtv" style="color: blue">[code]</a>
</p></li>
<li><p>
Tatsumi Uezato, Naoto Yokoya, and Wei He,<br>
“Illumination invariant hyperspectral image unmixing based on a digital surface model”, <br>
TIP 2020.
</p></li>
<li><p>
Hongyan Zhang, Lu Liu, Wei He*, and Liangpei Zhang,<br>
“Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition”, <br>
TGRS 2019.
(<font color="#FF0000"><b>highly cited paper</b></font>)
<a href="papers/TV-NLRTD.pdf" style="color: blue"> [paper] </a>
</p></li>
<li><p>
Yong Chen, Wei He*, Naoto Yokoya, Ting-Zhu Huang, and Xi-Li Zhao,<br>
“Non-local Tensor Ring Decomposition for Hyperspectral Image Denoising”,<br>
TGRS 2019. <a href="https://chenyong1993.github.io/yongchen.github.io/papers/2020/NLTR_code.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
Yong Chen, Wei He*, Naoto Yokoya*, and Ting-Zhu Huang,<br>
“Blind Cloud and Cloud Shadow Removal of Multitemporal Images Based on Total Variation Regularized Low-Rank Sparsity Decomposition”, <br>
ISPRS Journal of Photogrammetry and Remote Sensing 2019.
<a href="https://chenyong1993.github.io/yongchen.github.io/papers/2019/TVLRSDC_code.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
Yong Chen, Wei He*, Naoto Yokoya, and Ting-Zhu Huang, <br>
“Hyperspectral Image Restoration Using Weighted Group Sparsity Regularized Low-Rank Tensor Decomposition”, <br>
IEEE Transactions on Cybernetics (TCYB) 2019. (<font color="#FF0000"><b>highly cited paper</b></font>)
<a href="https://chenyong1993.github.io/yongchen.github.io/papers/2020/LRTDGS_Denoising_code.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
Wei He, Naoto Yokoya, Longhao Yuan and Qibin Zhao, <br>
“Remote sensing image reconstruction using tensor ring completion and total-variation”, <br>
TGRS 2019. <a href="code/Open_TVTR - Copy.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
Huilin Xu, Hongyan Zhang*, Wei He* and Liangpei Zhang,<br>
“Superpixel-based spatial-spectral dimension reduction for hyperspectral imagery classification”, <br>
Neurocomputing, 2019.
</p></li>
<li><p>
W. He*, and N. Yokoya*, <br>
“Multi-Temporal Sentinel-1 and-2 Data Fusion for Optical Image Simulation,”<br>
ISPRS International Journal of Geo-Information, vol. 7, no. 10, 2018.
</p></li>
<li><p>
W. He, H. Zhang, H. Shen, and L. Zhang,<br>
“Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,”<br>
IEEE J. Sel.Topics Appl. Earth Observ. Remote Sens., vol. 11, no. 3, pp. 713-729, 2018.
(<font color="#FF0000"><b>ESI highly cited paper</b></font>)
<a href="code/LLRGTV.rar" style="color: blue">[code]</a>
</p></li>
<li><p>
W. He, H. Zhang, L. Zhang,<br>
“Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing,” <br>
IEEE Trans. Geosci. Remote Sens., vol. 55, no. 7, pp. 3909-3921, 2017. (<font color="#FF0000"><b>highly cited paper</b></font>)
<a href="code/TV_RSNMF_public.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
W. He, H. Zhang, L. Zhang, W. Philips, W. Liao,<br>
"Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral Images",<br>
IEEE Geoscience and Remote Sensing Letters, pp. 686-690, May 2016.
</p></li>
<li><p>
W. He, H. Zhang, L. Zhang,<br>
"Sparsity-Regularized Robust Non-Negative Matrix Factorization for Hyperspectral Unmixing",<br>
IEEE J. Sel.Topics Appl. Earth Observ. Remote Sens., vol. 9, pp. 4267-4279, 2016.
<a href="code/RSNMF_public.zip" style="color: blue">[code]</a>
</p></li>
<li><p>
W. He, H. Zhang, L. Zhang, H. Shen, <br>
"Total-Variation-Regularized Low-rank Matrix Factorization for Hyperspectral Image Restoration",<br>
IEEE Trans. Geosci. Remote Sens., vol. 54, pp. 178-188, Jan. 2016. (<font color="#FF0000"><b>highly cited paper</b></font>)
<a href="code/LLRGTV.rar" style="color: blue">[code]</a>
</p></li>
<li><p>
W. He, H. Zhang, L. Zhang, H. Shen,<br>
"Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation",<br>
IEEE J. Sel.Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 6, pp. 3050 - 3061, 2015.
<a href="code/LLRGTV.rar" style="color: blue">[code]</a>
</p></li>
<li><p>
H. Zhang, W. He, L. Zhang, H. Shen, Q. Yuan,<br>
"Hyperspectral Image Restoration Using Low-Rank Matrix Recovery", <br>
IEEE Trans. Geosci. Remote Sens., vol. 52, no. 8, pp. 4729-4743, 2014. (<font color="#FF0000"><b>ESI hot paper, highly cited paper</b></font>)
<a href="code/LLRGTV.rar" style="color: blue">[code]</a>
</p></li>
</ol>
</div>
<div>
<h2><hr><a name="conference"></a>Conferences</h2>
<ol reversed>
<li><p>
Zhuohong Li#, Wei He#, Jiepan Li, Fangxiao Lu, Hongyan Zhang<br>
"Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels",<br>
CVPR poster (spotlight, 11.9%), 2024.
<a href="https://arxiv.org/abs/2403.02746" style="color: blue">[paper]</a>
</p></li>
<li><p>
Wei He#, Quanming Yao#, Naoyo Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang<br>
"Spectrum-aware and Transferable Architecture Search for Hyperspectral Image Restoration",<br>
ECCV, 2022.
<a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136790019.pdf" style="color: blue">[paper]</a>
<a href="slides/4367.pdf" style="color: blue">[slides]</a>
<a href="slides/4367.mp4" style="color: blue">[video]</a>
</p></li>
<li><p>
Ziqiao Wang, Hongyan Zhang*, Wei He*, Liangpei Zhang, <br>
"Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification",<br>
CVPRW, 2021.
<a href="https://openaccess.thecvf.com/content/CVPR2021W/AgriVision/html/Wang_Phenology_Alignment_Network_A_Novel_Framework_for_Cross-Regional_Time_Series_CVPRW_2021_paper.html"
style="color: blue">[paper]</a>
</p></li>
<li><p>
Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, and Wei He,<br>
"Guided Deep Decoder: Unsupervised Image Pair Fusion",<br>
ECCV, 2020, spotlight. <a href="https://arxiv.org/abs/2007.11766" style="color: blue">[paper]</a>
<a href="https://github.com/tuezato/guided-deep-decoder" style="color: blue">[code]</a>
</p></li>
<li><p>
Wei He,Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao,<br>
"Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising",<br>
CVPR, 2019. (<font color="#FF0000"><b>oral, 288/1300/5165</b></font>)
<a href="slides/cvpr19_poster_template.pdf" style="color: blue">[slides]</a>
<a href="https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Non-Local_Meets_Global_An_Integrated_Paradigm_for_Hyperspectral_Denoising_CVPR_2019_paper.pdf"
style="color: blue">[paper]</a>
</p></li>
<li><p>
Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao,<br>
"Guaranteed Matrix Completion under Multiple Linear Transformations", <br>
CVPR, 2019. (<font color="#FF0000"><b>oral, 288/1300/5165</b></font>)
<a href="slides/cvpr19_poster_template.pdf" style="color: blue">[slides]</a>
</p></li>
<li><p>
Wei He*, Longhao Yuan, Naoto Yokoya, <br>
"Total-variation-regularized tensor ring completion for remote sensing image reconstruction", <br>
ICASSP, 2019.
</p></li>
<li><p>
W. He, H. Zhang, L. Zhang,<br>
"Hyperspectral Unmixing Using Total Variation Regularized Reweighted Sparse Non-Negative Matrix Factorization",<br>
IEEE International Geoscience and Remote Sensing Symposium (IGRASS 2016), Beijing, China, 10–15 July, 2016.
</p></li>
<li><p>
H. Zhang, W. He, W. Liao, R. Luo, and L. Zhang,<br>
"Exploring the Low-rank Property of Hyperspectral Imagery: A Technical Overview ",<br>
WHISPERS'16, Los Angeles, America, 21–24 July, 2016.
</p></li>
<li><p>
W. He, H. Zhang, L. Zhang, H. Shen,<br>
"A Noise-Adjusted Iterative Randomized Singular Value Decomposition Method for Hyperspectral Image Denoising",<br>
IGRASS 2014, Quebec, Canada, 13–18 July, 2014.
(<font color="#FF0000"><b>2014 IEEE GARSS Student Paper Contest Top 3</b></font>)
<a href="slides/IGARSS2014.pdf" style="color: blue">[slides]</a>
</p></li>
</ol>
</div>
<div>
<h2><hr><a name="thesis"></a>Theses</h2>
<ol>
<li><p>
Wei He<br>
<i>Hyperspectral Image Mixed Noise Analysis Using Low Rank and Sparse Based Method</i> .<br>
PHD Thesis, Wuhan University 2017.
<! <a href="slides/PHD_thesis.pdf" style="color: blue">[pdf]</a> >
</p></li>
</ol>
</div>