Feng Gao 高峰

Associate Professor
School of Information Science and Engineering
Ocean Unversity of China


Short Bio [中文主页]

I am currently an Associate Professor in Vision Lab, Ocean University of China, headed by Junyu Dong. Prior to that, I received my B.S. degree form the School of Big Data & Software Engineering, Chongqing University in 2008. I received my Ph. D. degree from the school of Computer Science and Engineering, Beihang University, under supervision of Prof. Bo Li in 2015.

My research interests include remote sensing image processing (e.g., change detection, classification), visual computing (e.g., large-scale search, image understanding) and robust deep learning (e.g., adversarial attack/defense, few shot learning).

Office: Room B420, South Building, School of Information Science and Engineering
Address: 238 Songling Road, Laoshan, Qingdao 266100, China
Email: gaofeng@ouc.edu.cn


News

If you are interested in the internship, and M.S. program on deep learning, please drop me an email.

2021.05 HYZS Team got Top 8% in the China underwater robot professional contest (TOP 39/500).

2021.04 Xiaofan's paper got accepted by IEEE GRSL (CCF RankC) (Paper, Code).

2021.03 Tiange's paper got accepted by IEEE GRSL (CCF RankC) (Paper, Code).

2021.01 One paper got accepted by ACM Multimedia Asia 2020 (CCF RankC).

2020.12 One paper got accepted by ICPR 2020 (CCF RankC).

2020.08 One paper got accepted by IEEE TGRS (CCF RankB).


Selected Publications [ Full list at Google Scholar]

  1. Change detection in synthetic aperture radar images using a dual-domain network
    Xiaofan Qu, Feng Gao*, Junyu Dong, Qian Du, Heng-Chao Li
    IEEE Geoscience and Remote Sensing Letters, 2021. [PDF] [Code@github]

  2. Remote sensing image translation via style-based recalibration module and improved style discriminator
    Tiange Zhang, Feng Gao*, Junyu Dong*, Qian Du
    IEEE Geoscience and Remote Sensing Letters, 2021. [PDF] [Code@github]

  3. Adaptive dropblock enhanced generative adversarial networks for hyperspectral image classification
    Junjie Wang, Feng Gao*, Junyu Dong, Qian Du
    IEEE Transactions on Geoscience and Remote Sensing, 2020. [PDF] [Code@github]

  4. SAR image change detection based on multiscale Capusule network
    Yunhao Gao, Feng Gao*, Junyu Dong, Heng-Chao Li
    IEEE Geoscience and Remote Sensing Letters, 2020. [PDF] [Code@github]

  5. Transferred deep learning for sea ice change detection from synthetic aperture radar images
    Yunhao Gao, Feng Gao*, Junyu Dong, Shengke Wang
    IEEE Geoscience and Remote Sensing Letters, 2019. [PDF] [Code@github]

  6. Sea ice change detection in SAR images based on convolutional-wavelet neural networks
    Feng Gao, Xiao Wang, Yunhao Gao, Junyu Dong, Shengke Wang
    IEEE Geoscience and Remote Sensing Letters, 2019. [PDF] [Code@github]

  7. Change detection from synthetic aperture radar images based on channel weighting-based deep cascade network
    Yunhao Gao, Feng Gao*, Junyu Dong, Shengke Wang
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. [PDF] [Code@github]

  8. Spectral and spatial classification of hyperspectral images based on random multi-graphs
    Feng Gao, Qun Wang, Junyu Dong, Shengke Wang
    Remote Sensing, 2018. [PDF] [Code@github]

  9. SAR image change detection based on frequency domain analysis and random multi-graphs
    Feng Gao, Xiao Wang, Junyu Dong, Shengke Wang
    Journal of Applied Remote Sensing, 2018. [PDF] [Code@github]

  10. Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine
    Feng Gao, Junyu Dong, Bo Li, Qizhi Xu, Cui Xie
    Journal of Applied Remote Sensing, 2016. [PDF] [Code@github]

  11. Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet
    Feng Gao, Junyu Dong, Bo Li, Qizhi Xu
    IEEE Geoscience and Remote Sensing Letters, 2016. [PDF] [Code@github]


Honors and Awards