最终学位：博士
导师类型：博士生导师
电子邮箱：caof@sxu.edu.cn
联系电话：0351-7010566
研究方向：人工智能、空间数据挖掘、遥感信息处理
曹峰，博士，副教授、博士生导师，“三晋英才”青年优秀人才，中国科学院大学优秀毕业生，博士论文被评为中国科学院地理科学与资源研究所优秀博士论文。研究方向为人工智能、数据挖掘与模式识别、遥感信息处理。先后主持国家自然科学基金项目3项，其中面上项目2项、青年项目1项；主持省级科研、教改项目4项，教育部产学合作协同育人项目2项；参与国家自然科学基金项目1项，省级科研、教改项目8项。在AEI、IEEE TIV、IEEE IM、JAG、RS、ICASSP等国内外期刊和会议上发表论文50余篇；授权发明专利2项；获自然资源部2022年度自然资源科学技术一等奖1项（排名第4）。
1. Feng Cao, Feng Zhou, Chongben Tao, Jun Xue, Zhen Gao, Zufeng Zhang, Yuan Zhu, VSL-Net voxel structure learning for 3D object detection, Advanced Engineering Informatics, 2024, 59: 102348.
2. Feng Cao, Jun Xue, Chongben Tao, Xizhao Luo, Zhen Gao, Zufeng Zhang, MCHFormer: a multi-cross hybrid former of point-image for 3D object detection, IEEE Transactions on Intelligent Vehicles, 2024, 9(1): 383-393.
3. Feng Cao, Yufeng Jin, Chongben Tao, Xizhao Luo, Zhen Gao, Zufeng Zhang, TFIENet: transformer fusion information enhancement network for multimodel 3-D object detection, IEEE Transactions on Instrumentation and Measurement, 2024, 73: 5026513.
4. Feng Cao, Chang Liu, Deyu Li, Yuhua Qian, Chao Zhang, Hu Zhang, Local and global feature adaptive adjustment network for remote sensing image scene classification, In the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024: 5580-5584.
5. Feng Cao, Bing Xing, Jiancheng Luo, Deyu Li, Yuhua Qian, Chao Zhang, Hexiang Bai, Hu Zhang, An efficient object detection algorithm based on improved YOLOv5 for high-spatial-resolution remote sensing images, Remote Sensing, 2023, 15, 3755.
6. Feng Cao, Jing Zhang, Deyu Li, Yuhua Qian, Chao Tang, Xialei Zhang, Zhiguo Hu, Optimal granularity selection for indoor localization detection with wireless IoT network, Wireless Communications and Mobile Computing, 2022: 8156917.
7. Feng Cao, Yong Ge, Jinfeng Wang, Spatial data discretization methods for geocomputation, International Journal of Applied Earth Observation and Geoinformation, 2014, 26: 432-440.
8. Feng Cao, Yong Ge, Jinfeng Wang, Optimal discretization for geographical detectors-based risk assessment, GIScience and Remote Sensing, 2013, 50(1): 78-92.
9. Jue Li, Feng Cao, Honghong Cheng, Yuhua Qian, Learning the number of filters in convolutional neural networks. International Journal of Bio-Inspired Computation, International Journal of Bio-Inspired Computation, 2021, 17(2): 75-84.
10. Hexiang Bai, Feng Cao, M. Perter Atkinson, Qian Chen, Jinfeng Wang, Yong Ge, Incorporating spatial association into statistical classifiers: local pattern-based prior tuning, International Journal of Geographical Information Science, 2021, 34(10): 2077-2114.
11. Yong Ge, Feng Cao, Ruifang Duan, Impact of discretization methods on the rough set-based classification of remotely sensed images, International Journal of Digital Earth, 2011, 4(4): 330-346.
12. Yong Ge, Feng Cao, Yunyan Du, Chris V. Lakhan, Yingjie Wang, Deyu Li, Application of rough set-based analysis to extract spatial relationship indicator rules: An example of land use in Pearl River Delta, Journal of Geographical Sciences, 2011, 21(1): 101-117.
13. 曹峰, 张虎, 曹付元, 高嘉伟, 张婧, 基于OBE的数据科学与大数据技术专业建设与实践，软件导刊, 2023, 22(6): 162-166.
1. 基于多粒度计算的复杂地表空间地物分类方法研究,国家自然科学基金面上项目(NO: 62472269), 2025.01-2028.12, 主持
2. 基于多粒度计算的高光谱遥感影像光谱-空间分类研究, 国家自然科学基金面上项目(NO: 62072291), 2021.01-2024.12, 主持
3. 基于空间相关性的空间数据离散化算法研究, 国家自然科学基金青年项目(NO: 41401521), 2015.01-2017.12, 主持
4. 基于OBE理念的数据科学与大数据技术专业建设与实践, 山西省高等学校教学改革创新项目(NO: J2021080), 2021.09-2023.09, 主持
5. 电子信息类专业学位研究生培养模式探索与实践, 山西省研究生教育创新项目(NO: 2021YJJG022), 2022.01-2023.12, 主持