个人简介


王金菊, 电子科技大学数学科学学院2019级博士研究生, 师从王定成教授和黄捷教授。 研究方向：高光谱解混，异质图像变化检测等。

邮箱: jinjuwang123@163.com
链接: Researchgate   GitHub
个人简历: 王金菊

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学术论文

  • Jin-Ju Wang, Ding-Cheng Wang, Ting-Zhu Huang, Jie Huang"Spatial feature extraction non-negative tensor factorization for hyperspectral unmixing", Applied Mathematical Modelling, vol. 103, pp. 18-35, 2022. [BibTeX] [PDF]
@article{SFE-NTF,
title = {Spatial feature extraction non-negative tensor factorization for hyperspectral unmixing},
journal = {Applied Mathematical Modelling},
volume = {103},
pages = {18-35},
year = {2022},
issn = {0307-904X},
}
  • Jin-Ju Wang, Ding-Cheng Wang, Ting-Zhu Huang, Jie Huang "Endmember Constraint Non-Negative Tensor Factorization Via Total Variation for Hyperspectral Unmixing", in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021, pp. 3313-3316. (Oral) [BibTeX] [PDF]
@inproceedings{IGARSS2021_NTF,
  author={Wang, Jin-Ju and Wang, Ding-Cheng and Huang, Ting-Zhu and Huang, Jie},
  booktitle={2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, 
  title={Endmember Constraint Non-Negative Tensor Factorization Via Total Variation for Hyperspectral Unmixingn}, 
  year={2021},
  volume={},
  number={},
  pages={3313-3316},
  }
  • Jin-Ju Wang, Ting-Zhu Huang, Jie Huang, Liang-Jian Deng "A two-step iterative algorithm for sparse hyperspectral unmixing via total variation", Applied Mathematics and Computation, vol. 401, pp. 126059, 2021. [BibTeX] [PDF]
@article{TSWCSU-TV,
title = {A two-step iterative algorithm for sparse hyperspectral unmixing via total variation},
journal = {Applied Mathematics and Computation},
volume = {401},
pages = {126059},
year = {2021},
issn = {0096-3003},
}
  • Jin-Ju Wang, Ding-Cheng Wang, Ting-Zhu Huang, Jie Huang, Liang-Jian Deng, Xi-Le Zhao "Endmember independence constrained hyperspectral unmixing via nonnegative tensor factorization", Knowledge-Based Systems, vol. 216, pp. 106657, 2021. [BibTeX] [PDF]
@article{EIC-NTF,
title = {Endmember independence constrained hyperspectral unmixing via nonnegative tensor factorization},
journal = {Knowledge-Based Systems},
volume = {216},
pages = {106657},
year = {2021},
issn = {0950-7051},
}
  • Jin-Ju Wang, Ting-Zhu Huang, Jie Huang, Hong-Xia Dou, Liang-Jian Deng, Xi-Le Zhao "Row-Sparsity Spectral Unmixing via Total Variation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no.12, pp. 5009-5022, 2019, Art no. 8025105. [BibTeX] [PDF]
@article{RSSU-TV,  
author={Wang, Jin-Ju and Huang, Ting-Zhu and Huang, Jie and Dou, Hong-Xia and Deng, Liang-Jian and Zhao, Xi-Le},  
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},   
title={Row-Sparsity Spectral Unmixing via Total Variation},   
year={2019},  
volume={12},  
number={12},  
pages={5009-5022},  

}

  • Jie Huang*, Wu-Chao Di, Jin-Ju Wang, Jie Lin, Ting-Zhu Huang, "Bilateral Joint-Sparse Regression for Hyperspectral Unmixing", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 10147-10161, 2021.

  • Wu-Chao Di, Jie Huang*, Jin-Ju Wang, Ting-Zhu Huang, "Enhancing Reweighted Low-Rank Representation for Hyperspectral Image Unmixing", 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 3825-3828, 2021.

教育背景

  • 03/2021-至今: 访问学者, University of Toulouse, IRIT/INP-ENSEEIHT, 信号与通信 (导师: Nicolas Dobigeon 教授)

  • 09/2019-至今: 博士研究生, 电子科技大学, 数学 (导师: 王定成 教授)

  • 09/2017-06/2019: 硕士研究生, 电子科技大学, 数学 (导师: 黄廷祝 教授)

  • 09/2013-06/2017: 本科, 西南科技大学, 数学与应用数学 (导师: [田宝单 教授])

获奖情况

  • 博士研究生国家奖学金, 电子科技大学, 2021
  • 学业一等奖学金, 电子科技大学, 2021
  • 学业二等奖学金, 电子科技大学, 2020
  • 优秀研究生, 电子科技大学, 2020
  • 理科特别奖学金, 电子科技大学, 2019