Biography
Jin-Ju Wang (王金菊) is currently pursuing the Ph.D. degree (advised by Prof. Ding-Cheng Wang and Prof. Jie Huang) with the School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, China. She is a visiting student (advised by Prof. Nicolas Dobigeon) with the Signal and Communications Group, the Institut de Recherche en Informatique de Toulouse (University of Toulouse, IRIT/INP-ENSEEIHT). Her research interests include hyperspectral unmixing, and change detection between heterogeneous images. Email: jinjuwang123@163.com Follow me: Researchgate GitHub CV: Jin-Ju Wang |
Publications
- 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}, }
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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.
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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.
Experiences
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03/2021-Current: Signal and Communications Group, the Institut de Recherche en Informatique de Toulouse (University of Toulouse, IRIT/INP-ENSEEIHT); visiting student in Signal and Communications (Supervisor: Prof. Nicolas Dobigeon)
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09/2019-Current: University of Electronic Science and Technology of China (UESTC); Ph. D. student in Applied Mathematics (Supervisor: Prof. Ding-Cheng Wang)
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09/2017-06/2019: University of Electronic Science and Technology of China (UESTC); Master student in Applied Mathematics (Supervisor: Prof. Ting-Zhu Huang)
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09/2013-06/2017: Southwest University of Science and Technology (SWUST); Bachelor student in Mathematics and Applied Mathematics (Supervisor: Prof. Baodan Tian)
Awards and Honors
- National Scholarship for Ph. D. student (博士研究生国家奖学金), UESTC, 2021
- First-Class Academic Scholarship (学业一等奖学金), UESTC, 2021
- Second-Class Academic Scholarship (学业二等奖学金), UESTC, 2020
- Special Postgraduate Scholarship of Science (理科特别奖学金), UESTC, 2019