Dr. Ruyi FENG

Postdoctoral Fellow
Ph.D. (Wuhan University, China);
M.S. (Wuhan University, China);
B.S. (Hunan Normal University, China)


[Teacher's name in full]
Address:
Room 223, Lady Shaw Building,
The Chinese University of Hong Kong,
Shatin, N.T., Hong Kong

Tel:
(852) 3943-7956



Fields of Interest:
Sparse representation, Compressive Sensing, Deep Learning, Convex optimization Hyperspectral remote sensing analysis, High-Resolution remote sensing understanding, Intelligent interpretation of remote sensing imagery


Selected Publications:
  1. R. Feng*, H. Li, L. Wang, Y. Zhong, L. Zhang, and T. Zeng, “Local spatial constraint and total variation for hyperspectral anomaly detection,”IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3098814, 2021. (SCI, IF=5.855)
  2. R. Feng, L. Wang*, Y. Zhong, “Joint local block grouping with noise-adjusted principal component analysis for hyperspectral remote sensing imagery sparse unmixing”, Remote Sensing,vol. 11, no. 10, pp. 1223, 2019. (SCI, IF=4.509)
  3. R. Feng, Y. Zhong*, X. Xu and L. Zhang, “Adaptive sparse subpixel mapping with a total variation model for remote sensing imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 5, pp. 2855–2872, 2016. (SCI, IF=5.855)
  4. R.Feng, Y. Zhong*, Y. Wu, D. He, X. Xu and L. Zhang, “Nonlocal total variation subpixel mapping for hyperspectral remote sensing imagery”, Remote Sensing, vol. 8, no. 3, pp. 250, 2016. (SCI, IF=4.509)
  5. R. Feng, Y. Zhong*, and L. Zhang, “Adaptive spatial regularization sparse unmixing strategy based on joint MAP for hyperspectral remote sensing imagery,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 9, no. 12, pp. 5791–5805, 2016. (SCI, IF=3.392)
  6. R. Feng, Y. Zhong* and L. Zhang, “An improved non-local sparse unmixing algorithm for hyperspectral imagery,” IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 12, no. 4, pp. 915-918, 2015. (SCI, IF=3.534)
  7. R.Feng, Y. Zhong* and L. Zhang, “Adaptive non-local Euclidean medians sparse unmixing for hyperspectral imagery”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 97, pp. 9–24, 2014. (SCI, IF=6.942)
  8. Y. Zhong*, R. Feng and L. Zhang, “Non-local sparse unmixing for hyperspectral remote sensing imagery,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 7, no. 6, pp. 1889–1909,2014. (SCI, IF=3.392)
  9. H. Li, R. Feng*, L. Wang*, Y. Zhong, L. Zhang, “Superpixel-based reweighted low-rank and total variation sparse unmixing for hyperspectral remote sensing imagery”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 1, pp. 629-647, Jan. 2021. (SCI, IF=5.855) (ESI)
  10. W. Han, R. Feng, L. Wang*, Y. Cheng, “A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 145, pp. 23–43, 2018. (SCI, IF=7.319)(ESI)


Major Research Grants:
  • NSFC: “Sparse subpixel information extraction for multi-temporal hyperspectral remote sensing imagery”, 41701429, USD 37,000, 2018.01-2020.12;

  • FRFCU(CUG): “Sparse representation based subpixel information extraction for hyperspectral remote sensing imagery”, CUG170625, USD 29,000, 2016.06-2019.06;

  • NSFC: “Spectral sparse unmixing and subpixel mapping fusing spectral and spatial features for hyperspectral remote sensing imagery”, 41371344, USD 120,000, 2014.01-2017.12


Honours and Awards:
  • 06/2022, “Best Poster Presentation at Hong Kong Scholars Annual Symposium”(5/60) 07/2021, the “IEEE Geoscience and Remote Sensing Society 2021 J-STARS Prize Paper Award”

  • 05/2020, the “Ten Outstanding Young Persons” Award, China University of Geosciences (Wuhan) 01/2019, the 10th Young Teachers’ Teaching Competition, First prize

  • 09/2018, the “Surveying and Mapping Technology Progress Award”, First prize 12/2017, the 4th National College Mobile Internet Application Development and Innovation Competition, First prize, Excellent Instructor 07/2016, the “CUG Scholar Award”, China University of Geosciences (Wuhan)

  • 05/2016: the “ Excellent Graduate Student Award”, Wuhan University

  • 10/2015: the “National scholarship”, Wuhan University

  • 10/2014: the “Guanghua Special Scholarship”, Wuhan University

  • 05/2013: the “Excellent Graduate Student Award”, Wuhan University

  • 05/2011: the “Excellent Graduate Student Award”, Wuhan University(5/100)

  • 06/2010: the “National Motivational Scholarship”, Hunan Normal University(5/100)

  • 06/2008: the “National Scholarship”, Hunan Normal University(2/300)


Professional activities:
  • 2022 Hong Kong Scholars Annual Symposium, Poster Presentation Jun. 18, 2022, Hong Kong Baptist Univresity, Hong Kong, China

  • 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Session Chair Jul. 12-16, 2021, Brussels, Belgium,

    virtual conference

  • 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Oral presentation Sep. 26-Oct. 2, 2020, Waikoloa,

    Hawaii, virtual conference

  • 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Oral presentation Jul. 26-Aug. 2, 2019, Yokohama, Japan

  • 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Oral presentation Jul. 22-27, 2018, Valencia, Spain

  • 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Jul. 23-28, 2017, Fort Worth, Texas, USA

  • 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Oral presentation Jul. 10-15, 2016, Beijing, China

  • Convex Optimization for Signal Processing and Communications, Short Course at Sun Yat-Sen University Aug. 3-14, 2015,

    Guangzhou, China

  • IEEE International Geoscience and Remote Sensing Symposium and 35th Canadian Symposium on Remote Sensing (IGARSS) Oral

    presentation Jul. 13-18, 2014, Quebec, Canada

  • 4th workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) Oral presentation Jun. 4-7,

    2012, Shanghai, China