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Guangxing WANG

Research Student
College of Oceanography and Space Informatics
China University of Petroleum (East China)


I am currently working toward the M.Eng. degree under the supervision of Prof. Peng Ren, majoring in information & communication engineering at China University of Petroleum (East China). My research interests include generative modeling, deep learning, and learning with applications in remote sensing.

Contact
  • E-mail:       gxwangupc@163.com
  • Github:      https://github.com/gxwangupc/
  • Address:   66 Changjiang West Road, Qingdao 266580, China

    • Education
  •  [now]  M.Eng. in information & communication engineering, China         University of Petroleum (East China).
  • [2018] B.Eng. in electronic information science & technology,         Shandong University of Science and Technology.

    • Publication
    1. G. Wang, and P. Ren, “Hyperspectral Image Classification with Feature-Oriented Adversarial Active Learning,” Remote Sensing, vol. 12, 3879, 2020. [DOI][CODE]
    2. Q. Yang, G. Wang, X. Zhang, C. Grecos, and P. Ren, “Coastal Image Captioning,” Journal of Coastal Research, 2020. [DOI]
    3. X. Tai, G. Wang, C. Grecos, and P. Ren, “Coastal Image Classification under Noisy Labels,” Journal of Coastal Research, 2020. [DOI]
    4. G. Wang, and P. Ren, “Delving Into Classifying Hyperspectral Images via Graphical Adversarial Learning,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 2019-2031, 2020. [DOI][CODE]
    5. Q. Yang, G. Wang, Y. Zhao, X. Zhang, G. Dong, and P. Ren, “Multi-Scale Deep Residual Learning for Cloud Removal,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020.
    6. X. Tai, G. Wang, L. Han, X. Zhang, and P. Ren, “Self-Paced Learning with Superpixelwise Features for Hyperspectral Image Classification,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020.
    7. P. Ren, Z. Yu, G. Dong, G. Wang, and K. Wei, “Sea Ice Classification with First-Order Logic Refined Sliding Bagging,” Journal of Coastal Research, 2019. [DOI]
    8. G. Wang, G. Dong, H. Li, L. Han, X. Tao, and P. Ren, “Remote Sensing Image Synthesis via Graphical Generative Adversarial Networks,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019. [DOI]

    Awards & Honors
  • [Oct.   2020] Outstanding Graduate Students.
  • [Oct.   2020] National Scholarship.
  • [Sept. 2018] Excellent Graduate Student Sources Scholarship.
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