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 100 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 Aug. 13, 2025]

Selected Publications [ Full List ][ Google Scholar ]

F. Gao, X. Jin, X. Zhou*, J. Dong and Q. Du, "MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]
F. Gao, S. Liu, C. Gong, X. Zhou*, J. Wang, J. Dong, Qian Du, "Prototype-Based Information Compensation Network for Multi-Source Remote Sensing Data Classification"， IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]
F. Gao, M. Fu, J. Cao*, J. Dong and Q. Du, "Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]
J. Zhang, F. Gao*, Y. Gan, J. Dong and Q. Du, "Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]
J. Lin, F. Gao*, L. Qi, J. Dong, Q. Du and X. Gao, "Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]
Y. Liu, Y. Ju, Y. Rao, H. Fan, J. Dong*, F. Gao*, Q. Du, "Aerial Multi-View Stereo via Adaptive Depth Range Inference and Normal Cues," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF]
Y. Meng, F. Gao*, E. Rigall, J. Dong* and Q. Du, "Physical Knowledge Analytic Framework for Sea Surface Temperature Prediction," IEEE Transactions on Geoscience and Remote Sensing, 2024. [PDF]
L. Hu, S. Li, J. Ruan, F. Gao*, "SemiPSENet: A Novel Semi-supervised Change Detection Network for Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, 2024. [PDF]
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, 2023. [PDF] [Code@Github]
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, 2023. [PDF] [Code@github]
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, 2023. [PDF]
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, 2023. [PDF] [Code@Github]
Y. Gan, F. Gao, J. Dong*, S. Chen, "Arbitrary-Scale Texture Generation from Coarse-Grained Control," IEEE Transactions on Image Processing, 2022. [PDF] [Code@Github]
Y. Gan, X. Dong, H. Zhou, F. Gao and J. Dong*, "Learning the Precise Feature for Cluster Assignment," IEEE Transactions on Cybernetics, 2022. [PDF]

Honors and Awards

HYZS Team got Top 8% in the China underwater robot professional contest (TOP 39/500), 2021
Meng Wang got Top 5% in the NAIC remote sensing image classification competition (TOP 88/1732), 2020.
Zhengda Zhao got Rank 6 in the Gaofen Challenge on ground object classification from fully polarized SAR images (TOP 6/100), 2020.
Third Prize in the ChinaMM Underwater Image Enhancement Challenge, 2019.
Thrid Prize in the 1st IKCEST International Big Data Competition, 2019. (TOP 11/2312)
2 Second Prize in the Huawei AI Design Competition, 2019.
2 Second Prize in the Huawei AI Design Competition, 2018.
TOP 2% in BDCI Vessel Detection under Complex Meteoroglogical Conditions Challenge, 2017.
TOP 5% in BDCI Remote Sensing Image Classification Challenge, 2017.

Professional Service

Professional Position: Senior member of China Computer Federation (CCF); Outstanding AC of CCF YOCSEF Qingdao; Guidance Director of CCF Student Chapter in Ocean University of China; IEEE member; Member of the Consultation and Evaluation Committee of CSIG; Member of Shandong Association of Artificial Intelligence; Member of Chinese Association for Artificial Intelligence.
Guest Editor: Advanced Learning Techniques for Remote Sensing Image Quality Improvement, Remote Sensing, 2023; Intelligent Computing and Remote Sensing, 2023; Object Detection with Deep Learning, Future Internet, 2024.
Invited Talk: Intelligent Analysis of Multi-source Remote Sensing Data, China Coastal Zone Remote Sensing Conference, Ningbo, China, 2023. Multi-source Remote Sensing Data Interpretation for Sea Surface Temperature Prediction, World Ocean Technology Conference, Qingdao, China, 2023. Hyperspectral and SAR/LiDAR Data Joint Classification, Symposium on Imaging Spectroscopy for Earth Observation, Guangzhou, China, 2023.
Journal Review: IEEE TIP, TGRS, TNNLS, TCYB, TCSVT, TMM, GRSL, JSTARS; Elsevier ISPRS JP&RS, PR, PRL, NEUCOM, JVCI; SPIE JARS, OE; Springer MTAP, NCA; Taylor&Francis IJRS, RSL.