贺威，武汉大学教授、博士生导师。2017年毕业与武汉大学测绘遥感信息工程国家重点实验室。主要从事人工智能、机器学习、遥感图像处理与应用的研究。已发表TPAMI、TCYB、TGRS等SCI期刊论文50余篇，ESI热点论文2篇（地学前0.1%）、ESI高被引论文11篇（地学前1%）；会议论文8篇，其中计算机视觉顶级会议CVPR Oral论文2篇（前5.6%，288/5165）、CVPR Spotlight论文1篇（前5.6%，324/2719/11532）、ECCV Spotlight论文1篇（前5.3%，265/5025）。Google Scholar总引用4000余次。研究成果获日本RIKEN研究激励奖、日本遥感协会最佳论文奖、IEEE国际地球学科与遥感协会最佳论文奖和IEEE国际地球科学与遥感协会数据融合竞赛双赛道冠军等。主持日本国家自然科学基金1项、自然科学基金面上项目1项。获IEEE TGRS最佳审稿人称号。

个人主页：https://prowdiy.github.io/weihe.github.io/

最新动态

• 2024/4/15: I was nominated as the Topical Associate Editor of the TGRS
  

• 2024/4/15: I was nominated as the associate editor of the GRSS Section in IEEE Access
  

• 2024/4/15: I was nominated as the young editorial member of <测绘学报>
  

• 2024/4/5: I was nominated as the best reviewer of TGRS2023!
  

• 2024/4/5: One paper accepted to CVPR poster (highlight,11.9%)! Congratulations to Zhuohong LI!
  

• 2024/4/1: We won the double champions of IEEE GRSS DFC2024 (both two tracks)! Congratulations to Jiepan Li and He Huang!
  

• 2024/4/1: One paper accepted to Journal of Hydrology: Regional Studies! Congratulations to Guoyin Yin!
  

  2024/4/1: One paper accepted to JAG! Congratulations to Yu Xia!
  

• 2024/4/1: One paper accepted to ISPRS Journal! Congratulations to Man Liu!
  

• 2024/2/4: One paper accepted to TGRS! Congratulations to Jiepan Li!
  

• 2024/1/8: One paper accepted to TIP! Congratulations to Yong Chen!

• 2024/1/8: Two papers accepted to TGRS! Congratulations to Yong Chen and Yu Xia!

学生培养

• 2024年，IEEE国际地球科学与遥感学会数据融合大赛，双赛道冠军，获奖学生：李杰潘、黄和，指导老师：贺威、张洪艳、张良培

• 2023年，中国国际大学生创新大赛（互联网+），全国银奖，获奖学生：宋阳、汪雨晴、王文宇等，指导老师：杨光义、吕龙飞、张沪寅、张洪艳、贺威、张良培、李星华、郑先伟

• 2023年，Agro-Geoinformatics 2023，最佳学生论文竞赛三等奖，获奖学生：程谟凡，指导老师：张洪艳、贺威

• 2023年，第五届中国湿地遥感大会，优秀报告奖，获奖学生：邹佳琦，指导老师：张洪艳、贺威

• 2023年，IEEE WHISPERS会议跨城市多模态语义分割大赛，亚军，获奖学生：邹佳琦、李卓鸿、卢方骁，指导老师：张洪艳、贺威

• 2022年，地球空间信息科学国际博士生论坛，最佳报告奖，获奖学生：邹佳琦，指导老师：张洪艳、贺威

• 2022年，“欧比特杯”全国高光谱卫星遥感影像智能处理与行业应用大赛，一等奖，获奖学生：邹佳琦，指导老师：张洪艳、贺威

代表性期刊论文 （https://prowdiy.github.io/weihe.github.io/publication.html）

1. Yu Xia, Wei He, Qi Huang, Guoying Yin, Wenbin Liu, Hongyan Zhang,
   "CRformer: Multi-modal data fusion to reconstruct cloud-free optical imagery",
   JAG, 2024. [code] [SMILE-CR数据]

2. Jiepan Li, Wei He*, Weinan Cao, Liangpei Zhang, Hongyan Zhang,
   "UANet: an Uncertainty-Aware Network for Building Extraction from Remote Sensing Images",
   TGRS, 2024. [papar] [github]

3. Yong Chen, Wenzhen Lai, Wei He*, Xi-Le Zhao, Jinshan Zeng*,
   "Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network",
   TIP, 2024. [papar]

4. Yujun Guo, Wei He, Yu Xia, Hongyan Zhang,
   "Blind Single-Image-based Thin Cloud Removal using a Cloud Perception Integrated Fast Fourier Convolutional Network",
   ISPRS, 2023. [papar]

5. Lei Hu, Wei He*, Liangpei Zhang, and Hongyan Zhang,
   "Cross-Domain Meta-Learning under Dual Adjustment Mode for Few-Shot Hyperspectral Image Classification",
   TGRS, 2023. [code] [papar]

6. Zhuohong Li, Wei He, Mofan Cheng, Jingxin Hu, Guangyi Yang, and Hongyan Zhang,
   "SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data",
   Earth System Science Data, 2023. [papar] [data]

7. Yuting Wan, Ailong Ma, Wei He, Yanfei Zhong,
   "Accurate Multi-Objective Low-Rank and Sparse Model for Hyperspectral Image Denoising Method",
   IEEE Transactions on Evolutionary Computation 2023. (ESI highly cited paper)

8. Wei He, Yong Chen, Naoto Yokoya, Chao Li, and Qibin Zhao,
   "Hyperspectral super-resolution via coupled tensor ring factorization",
   Pattern Recognition, 2021. [arXiv] [link] [code]

9. Wei He*, Naoto Yokoya, Xin Yuan,
   "Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-iterative Subspace-based Fusion,"
   TIP2021. [arXiv] [code]

10. Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang,
    "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Restoration",
    TPAMI 2022. (highly cited paper)  [NGmeet_denoising]  [NGmeet_CS] [arXiv]

11. Linxi Huan, Nan Xue, Xianwei Zheng, Wei He, Jianya Gong, Gui-Song Xia,
    "Unmixing Convolutional Features for Crisp Edge Detection",
    TPAMI2022. [arXiv] [code]

12. Hongyan Zhang, Jinyi Cai, Wei He*, Liangpei Zhang,
    "Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping",
    TGRS2021. (ESI highly cited paper) [paper]

13. Danfeng Hong, Wei He*, Naoto Yokoya, Jing Yao, Lianru Gao*, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu,
    "Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing",
    IEEE Geoscience and Remote Sensing Maganize 2021. (ESI hot paper, highly cited paper) [arXiv]

14. Naoto Yokoya, Kazuki Yamanoi, Wei He, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi,
    "Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping",
    TGRS2020. (highly cited paper) [arXiv]

15. Yong Chen, Ting-Zhu Huang*, Wei He*, Naoto Yokoya, Xi-Le Zhao,
    "Hyperspectral Image Compressive Sensing Reconstruction Using Subspace-based Non-local Tensor Ring Decomposition",
    TIP 2020. [pdf]

16. Hongyan Zhang, Lu Liu, Wei He*, and Liangpei Zhang,
    “Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition”,
    TGRS 2019. (highly cited paper) [paper]

17. Yong Chen, Wei He*, Naoto Yokoya, and Ting-Zhu Huang,
    “Hyperspectral Image Restoration Using Weighted Group Sparsity Regularized Low-Rank Tensor Decomposition”,
    IEEE Transactions on Cybernetics (TCYB) 2019. (highly cited paper) [code]

18. W. He, H. Zhang, H. Shen, and L. Zhang,
    “Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,”
    IEEE J. Sel.Topics Appl. Earth Observ. Remote Sens., vol. 11, no. 3, pp. 713-729, 2018. (ESI highly cited paper) [code]

19. W. He, H. Zhang, L. Zhang,
    “Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing,”
    IEEE Trans. Geosci. Remote Sens., vol. 55, no. 7, pp. 3909-3921, 2017. (highly cited paper) [code]

20. W. He, H. Zhang, L. Zhang, H. Shen,
    "Total-Variation-Regularized Low-rank Matrix Factorization for Hyperspectral Image Restoration",
    IEEE Trans. Geosci. Remote Sens., vol. 54, pp. 178-188, Jan. 2016. (highly cited paper) [code]

21. H. Zhang, W. He, L. Zhang, H. Shen, Q. Yuan,
    "Hyperspectral Image Restoration Using Low-Rank Matrix Recovery",
    IEEE Trans. Geosci. Remote Sens., vol. 52, no. 8, pp. 4729-4743, 2014. (ESI hot paper, highly cited paper) [code]

代表性会议论文 （https://prowdiy.github.io/weihe.github.io/publication.html）

1. Zhuohong Li, Wei He, Jiepan Li, Fangxiao Lu, Hongyan Zhang
   "Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels",
   CVPR poster (spotlight, 11.9%), 2024.  [paper]

2. Wei He, Quanming Yao, Naoyo Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang
   "Spectrum-aware and Transferable Architecture Search for Hyperspectral Image Restoration",
   ECCV, 2022.  [paper]  [slides]  [video]

3. Ziqiao Wang, Hongyan Zhang*, Wei He*, Liangpei Zhang,
   "Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification",
   CVPRW, 2021. [paper]

4. Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, and Wei He,
   "Guided Deep Decoder: Unsupervised Image Pair Fusion",
   ECCV, 2020, spotlight. [paper] [code]

5. Wei He,Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao,
   "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising",
   CVPR, 2019. (oral, 288/1300/5165)  [slides] [paper]

6. Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao,
   "Guaranteed Matrix Completion under Multiple Linear Transformations",
   CVPR, 2019. (oral, 288/1300/5165)  [slides]

7. Wei He*, Longhao Yuan, Naoto Yokoya,
   "Total-variation-regularized tensor ring completion for remote sensing image reconstruction",
   ICASSP, 2019.

8. W. He, H. Zhang, L. Zhang, H. Shen,
   "A Noise-Adjusted Iterative Randomized Singular Value Decomposition Method for Hyperspectral Image Denoising",
   IGRASS 2014, Quebec, Canada, 13–18 July, 2014. (2014 IEEE GARSS Student Paper Contest Top 3)  [slides] 

2012.9 -- 2017.6
武汉大学       摄影测量与遥感       博士研究生毕业       博士研究生结业

2022.1 -- 至今

武汉大学      测绘遥感信息工程国家重点实验室 （LIESMARS）      教授

2018.1 -- 2021.11

日本 理化研究所 先端智能实验室 （RIKEN AIP）      研究员