Feng Gao 高峰

Associate Professor
School of Computer Science
Ocean Unversity of China


Short Bio

😊 Hi, I am currently an Associate Professor in Institute of Aritificial Intelligence, Ocean University of China. 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 in 2015.

🎯 I focus on the cutting-edge research fields of hyperspectral image processing, artificial intelligence in oceanography, multi-source remote sensing data interpretation. I have published over 80 academic papers in leading journals and conferences, such as IEEE TIP, TNNLS, TCYB, TGRS, TIM, GRSL and JSTARS.

🏛️ Contact me via ✉️ Mail: gaofeng@ouc.edu.cn    or    Send message via 🌈Weibo and Zhihu.

[Updated on Feb. 18, 2024]



Professional Service

Selected Publications [ Full List ][ Google Scholar ]

  1. J. Lin, F. Gao*, X. Shi, J. Dong, Q. Du, “SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023. [PDF] [Code@Github]

  2. Y. Meng, E. Rigall, X. Chen, F. Gao*, J. Dong* and S. Chen, "Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction," IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 7, pp. 3357-3370, 2023. [PDF] [Code@github]

  3. Y. Meng, F. Gao*, E. Rigall, R. Dong, J. Dong* and Q. Du, "Physical Knowledge-Enhanced Deep Neural Network for Sea Surface Temperature Prediction," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023. [PDF]

  4. M. Wang, F. Gao*, J. Dong, H. -C. Li and Q. Du, "Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023. [PDF] [Code@Github]

  5. L. Qi, Z. Chen, F. Gao*, J. Dong*, X. Gao and Q. Du, "Multiview Spatial-Spectral Two-Stream Network for Hyperspectral Image Unmixing," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023. [PDF]

  6. Y. Rao, Y. Ju, S. Wang, F. Gao, H. Fan and J. Dong*, "Learning Enriched Feature Descriptor for Image Matching and Visual Measurement," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-12, 2023. [PDF] [Code@Github]

  7. Y. Gan, F. Gao, J. Dong*, S. Chen, "Arbitrary-Scale Texture Generation from Coarse-Grained Control," IEEE Transactions on Image Processing, vol. 31, pp. 5841-5855, 2022. [PDF] [Code@Github]

  8. Y. Gan, X. Dong, H. Zhou, F. Gao and J. Dong*, "Learning the Precise Feature for Cluster Assignment," IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 8587-8600, 2022. [PDF]

  9. L. Qi, F. Gao*, J. Dong*, X. Gao and Q. Du, "SSCU-Net: Spatial–Spectral Collaborative Unmixing Network for Hyperspectral Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022. [PDF]

  10. W. -S. Hu, H.-C. Li*, R. Wang, F. Gao, Q. Du and A. Plaza, "Pseudo Complex-Valued Deformable ConvLSTM Neural Network With Mutual Attention Learning for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022. [PDF]


Honors and Awards