OUCAILAB

Change theme

Feng Gao (高峰) ​

😊 Hi, I’m Feng Gao, an Associate Professor at the Ocean University of China, Senior Member of the China Computer Federation (CCF), member of the Advisory and Evaluation Committee of the China Society of Image and Graphics, Outstanding AC of CCF YOCSEF Qingdao, and Director of the CCF Ocean University of China Student Chapter. 🏛️ I received my B.S. degree from the School of Software, Chongqing University, in 2008, and my Ph.D. degree from the School of Computer Science, Beihang University, in 2015. In the same year, I joined the School of Computer Science and Technology, Ocean University of China. 🎯 My main research areas are hyperspectral image processing and AI-based oceanography, including the theories and technologies of artificial intelligence, deep learning, and computer vision, with a focus on the efficient and intelligent interpretation of hyperspectral images and ocean remote sensing data. 📜 I have published over 100 academic papers in journals and conferences such as IEEE TIP, TNNLS, TCYB, TGRS, TIM, GRSL, JSTARS, and JARS, with four ESI Highly Cited Papers. I serve as an editorial board member for the Journal of Applied Remote Sensing. 🍀

E-mail: gaofeng@ouc.edu.cn

Weibo / Google Scholar / Github / Zhihu / 中文主页 /

[Updated by 2025/08]

🎈 欢迎优秀的同学加入 AI前沿理论研究小组 😁 课题组长期招收学有余力的三年级本科生提前进入实验室开展学术研究工作。🙋 本团队不考勤打卡，氛围活跃，支持同学们参加学术和科创竞赛，欢迎各位优秀的同学咨询，联系的最佳方式是 📧 EMAIL（gaofeng@ouc.edu.cn），通常会在12小时内回复。 🚀 其它快速联系方式：📩微博私信（ 高峰是我啦 ） 🐶知乎私信（ 高峰OUC ） 欢迎随时交流

🎯 Selected Publications 【More】 ​

2025 ​

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. Y. Zhao, F. Gao*, X. Jin, J. Dong, and Q. Du, "Dynamic Frequency Feature Fusion Network for Multi-Source Remote Sensing Data Classification," IEEE Geoscience and Remote Sensing Letters, 2025. [PDF]Code@Github
  8. Z. Wang, F. Gao*, J. Dong and Q. Du, "Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection," IEEE Geoscience and Remote Sensing Letters, 2025. [PDF][Code@Github]
  9. H. Dong, X. Du, Z. Li, X. Li, Z. Ma, F. Gao, "Dynamic Bilinear Fusion Network for Synthetic Aperture Radar Image Change Detection," IEEE Geoscience and Remote Sensing Letters, 2025. [PDF]
  10. 刘文力, 高峰*, 张浩鹏, 董军宇, 吴淳桐，"基于通道变换和Transformer的高光谱图像变化检测方法", 计算机学报，2025.
  11. 金学鹏, 高峰*, 石晓晨, 董军宇，"针对多源遥感图像分类的门控跨模态聚合网络", 中国图象图形学报，2025. [PDF]
  12. 李相潭, 高峰*, 孙悦, 董军宇, "针对高光谱遥感图像变化检测的混合注意力和双向门控网络"， 中国图象图形学报，2025. [PDF]
  13. 王嘉毅，高峰，张天戈，甘言海，"基于小波变换平行注意力的多源遥感图像分类"，北京航空航天大学学报，2025. [Code@Github]

2024 ​

  1. Y. Zhao, T. Celik, N. Liu, F. Gao and H. -C. Li*, "SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation," IEEE Transactions on Geoscience and Remote Sensing, 2024. [PDF][Code@Github]
  2. 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]
  3. 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]
  4. T. Zhang, Q. Cai*, F. Gao, L. Qi, J. Dong*, "Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting," International Joint Conference on Artificial Intelligence (IJCAI), 2024. [PDF][Code@Github]
  5. H. Luo, F. Gao*, J. Dong, L. Qi, "Hierarchical Attention and Parallel Filter Fusion Network for Multi-Source Data Classification," IEEE Geoscience and Remote Sensing Letters, 2024. [PDF][Code@Github]
  6. J. Xie, F. Gao, X. Zhou*, J. Dong, "Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change Detection," IEEE Geoscience and Remote Sensing Letters, 2024. [PDF][Code@Github]
  7. S. Hu, F. Gao, X. Zhou*, J. Dong, Q. Du, "Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising," IEEE Geoscience and Remote Sensing Letters, 2024. [PDF] [Code@Github]
  8. S. Tao, Y. Li, F. Gao, H. Fan, J. Dong*, Y. Gan*, "Multi-Scale Spatial Features and Temporal Attention Mechanisms: Advancing the Accuracy of ENSO Prediction," Intelligent Marine Technology and Systems, 2024. [PDF]
  9. L. Qi, M. Yue, F. Gao*, B. Cao, J. Dong and X. Gao, "Deep Attention-Guided Spatial–Spectral Network for Hyperspectral Image Unmixing", IEEE Geoscience and Remote Sensing Letters, 2024. [PDF]
  10. 胡帅，高峰*，龚卓然，陶盛恩，上官心语，董军宇，"基于Transformer和通道混合并行卷积的高光谱图像去噪"，中国图象图形学报，2024. [PDF]
  11. 高峰，孟德森，解正源，亓林，董军宇*，"基于Transformer和动态3D卷积的多源遥感图像分类"， 北京航空航天大学学报，2024. [PDF]
  12. 刘晟, 金学鹏, 高峰*, 甘言海，"基于稀疏注意力和可变形融合的多源遥感图像分类方法", 北京航空航天大学学报， 2024. [PDF]
  13. 程陆瑶, 林俊彦, 高峰*, 周小伟, "基于双分支Transformer的高光谱和LiDAR数据分类方法"，北京航空航天大学学报，2024. [PDF]

2023 ​

  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]
  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. L. Qi, X. Qin, F. Gao*, J. Dong and X. Gao, "SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images," IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023. [PDF]
  7. H. Pan, F. Gao*, J. Dong and Q. Du, "Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising,"  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 3045-3059, 2023. [PDF][Code@Github]
  8. H. Zhang, Z. Lin, F. Gao*, J. Dong, Q. Du, H. -C. Li, "Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection," IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023. [PDF] [Code@Github]
  9. 王梓懿，尹嘉豪，黄博斌，高峰，"基于旋转目标感知网络的SAR船舶检测方法"，北京航空航天大学学报，2023.

Former ​

  1. Y. Gan, F. Gao, J. Dong* and S. Chen, "Arbitrary-Scale Texture Generation From Coarse-Grained Control," IEEE Transactions on Image Processing, vol. 31, pp. 5841-5855, 2022. [PDF]
  2. 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, Art no. 5407515. [PDF]
  3. D. Meng, F. Gao*, J. Dong, Q. Du and H. -C. Li, "Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network," IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022, Art no. 4026505. [PDF][Code@Github]
  4. X. Qu, F. Gao*, J. Dong, Q. Du and H. -C. Li, "Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 4013405. [PDF] [Code@github]
  5. T. Zhang, F. Gao*, J. Dong* and Q. Du, "Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, Art no. 8009805, 2022. [PDF][Code@Github]
  6. J. Wang, F. Gao*, J. Dong, S. Zhang and Q. Du, "Change Detection From Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 1823-1836, 2022. [PDF] [Code@github]
  7. J. Wang, F. Gao*, J. Dong, Q. Du and H. Li, "Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 2667-2680, 2022. [PDF]
  8. J. Wang, F. Gao*, J. Dong and Q. Du, "Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 6, pp. 5040-5053, 2021. [PDF] [Code@github]
  9. Y. Gao, F. Gao*, J. Dong and H. -C. Li, "SAR Image Change Detection Based on Multiscale Capsule Network," IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 3, pp. 484-488, March 2021. [PDF] [Code@github]
  10. Y. Gao, F. Gao*, J. Dong, Q. Du and H. -C. Li, "Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 10748-10760, 2021. [PDF][Code@Github]

Copyright © 2025 OUC AI Lab