Ningyang Li (Gaston Li)

Ningyang Li (Gaston Li)

Education

  • Master
    2019.09.09–2023.06.30 Software Engineering, Hainan University (HNU), Haikou, China
  • Exchange student🌲🌲⛰️🌲🏫🏪🌲⛰️🌊🌲🌲
    2022.03.15–2022.09.30 Department of Computer Science, Norges Teknisk-Naturvitenskapelige Universitet (NTNU), Gjøvik, Norway
  • Bachelor
    2015.09.07–2019.06.27 Remote Sensing Science and Technology, Henan Polytechnic University (HPU), Jiaozuo, China

Unreachable ntnu Ph.D.

  • 2022.12.19–2024.04.29
    I passed the NTNU Ph.D. interview on Dec. 19, 2022 and then waited for the result of final qualification review.
    Until Apr. 29, 2024, I was told that the Ph.D. position was cancelled by the dean because of the serious relationship between China and Norway.

Work

  • 2024.06.08–Present
    Hainan Aerospace Information Research Institute, Wenchang

Research interests

  • Image processing
  • Deep learning
  • Remote sensing
  • Hyperspectral image classification
  • Attention mechanism

Overview of my researches

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Publications

Journal articles

  1. CentralFormer: Centralized spectral-spatial transformer for hyperspectral image classification with adaptive relevance estimation and circular pooling :rocket: :octopus:
    N. Li, Z. Wang, F. A. Cheikh, L. Wang, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 62, pp. 1-16, 2024, Art no. 5540716. (SCI Q1, IF: 7.5)
  2. Discriminating spectral-spatial feature extraction for hyperspectral image classification: A review :rocket:
    N. Li, Z. Wang, F. A. Cheikh, Sensors, vol. 24, no. 10, pp. 2987, 2024. (SCI Q2, IF: 3.9)
  3. An exploration on the influence factors of the optimal sample width for hyperspectral remote sensing image classification :rocket:
    N. Li, Z. Wang, F. A. Cheikh, M. Ullah, IEEE Access, vol. 11, pp. 128667-128680, 2023. (SCI Q2, IF: 3.9)
  4. S3AM: A spectral-similarity-based spatial attention module for hyperspectral image classification :rocket: :octopus:
    N. Li, Z. Wang, F. A. Cheikh, M. Ullah, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing (J-STARS), vol. 15, pp. 5984-5998, 2022. (SCI Q1, IF: 4.715)
  5. Spatial attention guided residual attention network for hyperspectral image classification :rocket: :octopus:
    N. Li, Z. Wang, IEEE Access, vol. 10, pp. 9830-9847, 2022. (SCI Q2, IF: 3.476)
  6. Hyperspectral sea fleet detection based on approximate posterior information :rocket:
    N. Li, Z. Wang, Journal of Zhengzhou University (Natural Science Edition), vol. 53, no. 1, Mar. 2021, pp. 54-60.

Conferences papers

  1. Centralized sample expansion and prior correlation evaluation for hyperspectral image classification with fully convolutional network :rocket:
    N. Li, Z. Wang, 2023 11th European Workshop on Visual Information Processing (EUVIP), Gjøvik, Norway, Sept. 11-14, 2023, pp. 1-6.
  2. Centralized attention modules for hyperspectral remote sensing image classification :rocket:
    N. Li, Z. Wang, F. A. Cheikh, M. Ullah, 2023 8th International Conference on Computational Intelligence and Applications (ICCIA), Haikou, China, Jun. 23-25 2023, pp. 112-116.
  3. S3AM++: Integrating differential strategy into spectral-similarity-based spatial attention module for hyperspectral remote sensing image classification :rocket:
    N. Li, Z. Wang, F. A. Cheikh, M. Ullah, 2023 15th International Conference on Digital Image Processing (ICDIP), Nanjing, China, May 19-22, 2023, art. no. 69, pp. 1-9.
  4. Spectral-spatial fused attention network for hyperspectral image classification :rocket:
    N. Li, Z. Wang, 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, Sept. 19-22, 2021, pp. 3832-3836.
  5. Hyperspectral image ship detection based upon two-channel convolutional neural network and transfer learning :rocket:
    N. Li, Z. Wang, 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), Nanjing, China, Oct. 23-25, 2020, pp. 88-92.
  6. Hyperspectral sea fleet detection based on approximate posterior information
    N. Li, Z. Wang, 2020 National Conference on Image and Graphics (NCIG), Urumqi, China, Jun. 26-28, 2020.
  7. An improved vulnerable pedestrian detection algorithm based on YOLOv7 :rocket:
    X. Ye, Z. Wang, N. Li, K. Ye, 2023 8th International Conference on Computational Intelligence and Applications (ICCIA), Haikou, China, 2023, pp. 193-197.
  8. Classification of acute bilirubin encephalopathy based on individual and fused attention network :rocket:
    G. Yang, Z. Wang, N. Li, 2023 8th International Conference on Computational Intelligence and Applications (ICCIA), Haikou, China, 2023, pp. 133-137.
  9. The nonlinear hyperplane CNN for hyperspectral image classification :rocket:
    X. Zhang, Z. Wang, N. Li, 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP), Nanjing, China, 2021, pp. 350-354.

Preprints

  1. Hyperspectral remote sensing image classification based on enhanced pseudo 3D features and salient band selection :rocket: :octopus:
    N. Li, PREPRINT (Version 2) available at Research Square (Ever accepted by Colour and Visual Computing Symposium 2024), 2024.

Thesis

  • Master - 高光谱遥感图像分类算法研究 / Research on Algorithms for Hyperspectral Remote Sensing Image Classification :rocket:
    Ningyang Li, Hainan University, Jun., 2023.
    –Supervised by Zhaohui Wang and Faouzi Alaya Cheikh
    –Master Defense, 91.6 Points, Ranking 1st
  • Bachelor - 基于泊松方程的多光谱图像薄云区域信息重建方法研究 / Research on Information Reconstruction Method of Thin Cloud Regions based on Poisson’s Equation for Multi-Spectral Image :rocket:
    Ningyang Li, Henan Polytechnique University, Jun., 2019.
    –Supervised by Chunguo Liu
    –Bachelor Defense, 89.0 Points

Service

Journal Reviewer

  • IEEE Transactions on Geoscience and Remote Sensing (TGRS, SCI Q1, IEEE)
  • Geo-spatial Information Science (GSI, SCI Q1, Taylor&Francis)
  • International Journal of Digital Earth (IJDE, SCI Q1, Taylor&Francis)
  • IEEE Access (SCI Q2, IEEE)
  • Forum Geografi (FG)
  • IAES International Journal of Artificial Intelligence (IJ-AI)
  • IgMin Research - Science, Technology, Engineering, and Medicine (STEM)

Conference Reviewer

  • International Conference on New Energy and Optoelectronic Materials (NEOM2023, EI)
  • International Conference on Informatics Engineering & Information Science (ICIEIS2024, EI)
  • International Conference on Bioinformatics and Biomedical Engineering (BIBE2024, EI)
  • International Conference on Computer Technology and Information Science (CTIS2025, EI)

Professional skills

  • Python, C, C++
  • Tensorflow, Keras, Pytorch, OpenCV
  • Visual Studio, Spyder, PyCharm, Office, LaTeX, Draw.io

Interests

  • Fishing :fish:
  • Marathon :runner:
  • Hiking :hiking_boot:
  • Listening to music :headphones:

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