冯婕
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冯婕，女，2014年获得西安电子科技大学电子科学与技术专业博士学位，现为西安电子科技大学人工智能学院教授、博士生导师。目前主要从事面向卫星和无人机应用的遥感数据处理与解译研究。研究成果发表学术论文80余篇，其中包括中科院I区IEEE会刊（IEEE TCYB、IEEE TIP、IEEE TGRS）、top期刊Information Fusion、ISPRS P&RS在内的中科院I区论文40余篇，ESI高被引/热点论文5篇，出版专著2部，入选“全球前2%顶尖科学家榜单”。主持军科委基础加强领域基金、国家自然科学基金面上项目、装备预研教育部联合基金等。入选 “中国科协青年托举人才计划”、“陕西省特支计划青年拔尖人才”、“陕西省青年科技新星”。担任Frontiers in Imaging副主编、Remote Sensing编委。获得中国自动化学会自然科学二等奖。带领团队获遥感稀疏表征与智能分析和“计图”人工智能挑战赛全国二等奖。
计算机视觉、开放世界大模型学习、遥感数据目标检测与跟踪、高光谱遥感图像波段选择与分类、无人机边缘端处理
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关于研究生招生的信息：
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招生专业为计算机科学与技术（学硕）和计算机技术、人工智能（专硕）
面向西安电子科技大学本部、杭研院招生，人数6~7人 （有保研名额2~3人）
全职在西电校本部，兼职在西电广研院和杭州研究院；
招收人工智能、智能科学与技术、计算机等相关专业的学生
欢迎校内外保研、优研以及统考学生报考或咨询。
要求：热爱科研，踏实勤奋、热爱编程，积极主动，男女不限，学校不限。
数学和英语功底好、编程能力强的学生，录取时会优先考虑。
团队年轻活跃，学习氛围浓厚，富有朝气活力。
联系邮箱：jiefeng0109@163.com ;jiefeng@xidian.edu.cn
（目前还有2025年入学的研究生保研名额！）
1.SDANet: Semantic-Embedded Density Adaptive Network for Moving Vehicle Detection in Satellite Videos, IEEE Transactions on Image Processing.[code]
2.Jie Feng*, G. Bai, D. Li, X. Zhang, R. Shang and L. Jiao, "MR-Selection: A Meta-Reinforcement Learning Approach for Zero-Shot Hyperspectral Band Selection,"IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-20, 2023, Art no. 5500320.[code]
3.Xiande Wu,Jie Feng*, Ronghua Shang, Xiangrong Zhang, Licheng Jiao: Multiobjective Guided Divide-and-Conquer Network for Hyperspectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022).[code]
4.Jie Feng*, Dening Zeng, Xiuping Jia, Xiangrong Zhang, Jie Li, Yuping Liang, Licheng Jiao. Cross-frame keypoint-based and spatial motion information-guided networks for moving vehicle detection and tracking in satellite videos. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 177:116-130.[code]
5.Jie Feng*,Zhanwei Ye, Shuai Liu, Xiangrong Zhang, Jiantong Chen, Ronghua Shang, Licheng Jiao, Dual-graph convolutional network based on brand attention and sparse constraint for hyperspectral band selection. Knowledge-Based Systems, 2021, 231:107428.[code]
6.Jie Feng*, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao, Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022).[code](ESI Most-Cited Paper & ESI Hot Paper)
7.Jie Feng*, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Convolution neutral network based on band-wise independent convolution and hard thresholding for hyperspectral band selection[J]. IEEE Transactions on Cybernetics, 2020.[pdf][code]
8.Jie Feng, Yuping Liang, Junpeng Zhang, Xiangrong Zhang, Quanhe Yao, Licheng Jiao: MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images. CoRR abs/2111.10961 (2021).[code]
9.Ronghua Shang, Xinlei Zhang,Jie Feng, Yangyang Li, Licheng Jiao: Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection. Neurocomputing 485: 57-73 (2022).
10.Jin Zhao, Zixuan Ba, Xianghai Cao,Jie Feng, Licheng Jiao: Deep Mutual-Teaching for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
11.Xianghai Cao, Zuji Liu, Xiangxiang Li, Qian Xiao,Jie Feng, Licheng Jiao: Nonoverlapped Sampling for Hyperspectral Imagery: Performance Evaluation and a Cotraining-Based Classification Strategy. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
12. Ronghua Shang, Huidong Chang, Weitong Zhang,Jie Feng, Yangyang Li, Licheng Jiao: Hyperspectral Image Classification Based on Multiscale Cross-Branch Response and Second-Order Channel Attention. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
13. Ronghua Shang, Mengmeng Liu, Junkai Lin,Jie Feng, Yangyang Li, Rustam Stolkin, Licheng Jiao: SAR Image Segmentation Based on Constrained Smoothing and Hierarchical Label Correction. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
14. Chenhong Sui, Jun Zhou, Chang Li, Qiang Zheng,Jie Feng, Xiaoguang Mei, Jing Wang: Unsupervised Hyperspectral Band Selection With Multigraph Integrated Embedding and Robust Self-Contained Regression. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
15. Xiangrong Zhang, Shutong Chen, Peng Zhu, Xu Tang,Jie Feng, Licheng Jiao: Spatial Pooling Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
16. Xiangrong Zhang, Shouwang Shang, Xu Tang,Jie Feng, Licheng Jiao: Spectral Partitioning Residual Network With Spatial Attention Mechanism for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
17. Shuai Liu,Jie Feng, Zhiqiang Tian, Varitional low-rank matrix factorization with multi-patch collaborative learning for hyperspectral imagery mixed denoising, Remote Sening, 2021, 13(6), 1101.
18.Jie Feng*, Xiande Wu, Ronghua Shang, Chenhong Sui, Jie Li, Licheng Jiao, Xiangrong Zhang: Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search. IEEE Trans. Geosci. Remote. Sens. 59(6): 5054-5070 (2021)[code](ESI Most-Cited Paper)
19.Jie Feng*, Xueliang Feng, Jiantong Chen, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu, Generative adversarial networks based on collaborative learning and attention mechanism for hyperspectral image classification[J]. Remote Sensing, 2020, 12(1149): 1:26.[pdf][code](ESI Most-Cited Paper)
20.Jie Feng*, Yuping Liang, Dening Zeng, Zhanwei Ye, Xiande Wu, Xiangrong Zhang, Xu Tang. Small object detection in optical remote sensing video with motion guided R-CNN. IGARSS, 2020.
21.Jie Feng*, Zhanwei Ye, Di Li, Yuping Liang, Xu Tang, Xiangrong Zhang. Hyperspectral image classification based on semi-supervised dual-branch convolutional autoencoder with self-attention. IGARSS, 2020.
22.Jie Feng*, Haipeng Yu, Lin Wang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao. Classification of hyperspectral images based on multiclass spatial-spectral generative adversarial networks. IEEE Transactions on Geoscience and Remote Sensing, 2019. 8(57): 5329-5343.[pdf][code]
23.Jie Feng*, Jiantong Chen, Liguo Liu, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu. CNN-based multil[ant]ayer spatial-spectral feature fusion and sample augmentation with local and nonlocal constraints for hyperspectral image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. 12(4): 1299-1313.[pdf][code]
24.Jie Feng*,Lin Wang,Haipeng Yu,Licheng Jiao,Xiangrong Zhang. Divide-and-conquer dual-architecture convolutional neural network for classification of hyperspectral images[J]. Remote Sensing, 2019, 11(484): 1:26.[pdf]
25. Chenhong Sui, Chang Li,Jie Feng, Xiaoguang Mei. Unsupervised manifold-preserving and weakly redundant band selection method for hyperspectral imagery.IEEE Transactions on Geoscience and Remote Sensing. 2019, 58(2): 1156-1170.
26. Xianghai Cao, Cuicui Wei, Yiming Ge,Jie Feng, Jing Zhao, Licheng Jiao. Semi-supervised hyperspectral band selection based on dynamic classifier selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. 12(4), 1289-1298.
27. Yiguo Qiao, Licheng Jiao, Shuyuan Yang, Biao Hou,Jie Feng.Color correction and depth-based hierarchical hole filling in free viewpoint generation. IEEE Transactions on Broadcasting. 2019.
28.Jie Feng*, Di Li, Jiantong Chen, Xiangrong Zhang, Xu Tang, Xiande Wu.Hyperspectral band selection based on ternary weight convolutional neural network. IGARSS, 2019.
29.Jie Feng*, Xiande Wu, Jiantong Chen, Xiangrong Zhang, Xu Tang, Di Li. Joint multilayer spatial-spectral classification of hyperspectral images based on CNN and ConvLSTM. IGARSS, 2019.
30.Jie Feng*,Liguo Liu,Xianghai Cao,Licheng Jiao,Tao Sun,Xiangrong Zhang. Marginal stacked autoencoder with adaptively-spatial regularization for hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(9): 3297-3311.
31. Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen,Jie Feng*, Licheng Jiao and Huiyu Zhou. Hyperspectral Unmixing via Low-rank Representation with Space Consistency Constraint and Spectral Library Pruning.Remote Sensing, 2018, 10(2): 339-354.
32. Xianghai Cao, Renjie Li, Li Wen,Jie Feng, Licheng Jiao. Deep multiple feature fusion for hyperspectral image classification [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018, 11(10): 3880-3891.
33.Jinliang An,Xiangrong Zhang,Huiyu Zhou,Jie Feng,Licheng Jiao. Patch Tensor-based sparse and low-rank graph for hyperspectral images dimensionality reduction[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(7): 2513-2527.
34.Xiangrong Zhang,Chen Li,Jingyan Zhang,Qimeng Chen,Jie Feng,Licheng Jiao,Huiyu Zhou. Hyperspectral unmixing via low-rank representation with space consistency constraint and spectral library pruning[J]. Remote Sensing, 2018, 10(2): 339.
35.Jie Feng*, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu. Hyperspectral image classification based on stacked marginal discriminative autoencoder [C]. IGARSS, 2017.
36.Jie Feng*, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang. Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images [J]. Pattern Recognition. 2016, 51(1), 295-309.
37.Jie Feng*, Licheng Jiao, Tao Sun, Hongying Liu, Xiangrong Zhang. Multiple kernel learning based on discriminative kernel clustering for hyperspectral band selection [J].IEEE Transactions on Geoscience and Remote Sensing. 2016, 54(11): 6516-6530.
38.孙涛，冯婕.快速随机多核学习分类算法[J].西安电子科技大学学报（自然科学版）. 2016, 43(1): 36-40.
39. Ronghua Shang, Pingping Tian, Licheng Jiao, Rustam Stolkin,Jie Feng. A spatial fuzzy clustering algorithm with kernel metric based on immune clone for SAR image segmentation [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016, 9(4): 1640-1652.
40. Hongying Liu, Yikai Wang, Shuyuan Yang, Shuang Wang,Jie Feng, Licheng Jiao. Large Polarimetric SAR data semi-supervised classification with spatial-anchor graph [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016, 9(4): 1439-1458.
41. Hongying Liu, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou,Jie Feng, Licheng Jiao. Terrain classification with polarimetric based on deep sparse filtering network [C]. IGRASS, 2016.
42.Jie Feng*, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang. Mutual-information-based semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy.IEEE Transactions on Geoscience and Remote Sensing. 2015, 53(5): 2956-2969.
43. Licheng Jiao,Jie Feng*, Fang Liu, Tao Sun, Xiangrong Zhang. Semi-supervised affinity propagation based on normalized trivariate mutual information for hyperspectral band selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015, 8(6): 2760-2773.
44. Tao Sun, Licheng Jiao,Jie Feng, Fang Liu. Imbalanced hyperspectral image classification based on maximum margin. IEEEGeoscience and Remote SensingLetters. 2015, 12(3): 522-526.
45.Jie Feng*, Licheng Jiao, Xiangrong Zhang, Tao Sun. Hyperspectral band selection based on trivariate mutual information and clonal selection.IEEE Transactions on Geoscience and Remote Sensing. 2014, 52(7): 4092-4105.
46. Miaoyun Zhao, Licheng Jiao,Jie Feng, Tianyu Liu. A simplified low rank and sparse graph for semi-supervised learning. Neurocomputing. 2014, 140(22): 84-96.
47.Jie Feng*, Licheng Jiao, Xiangrong Zhang, Maoguo Gong, Tao Sun. Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation. Signal Processing. 2013, 93(2): 487-499.
48. Tao Sun, Licheng Jiao, Fang Liu, Shuang Wang,Jie Feng*. Selective multiple kernel learning for classification with ensemble strategy [J]. Pattern Recognition. 2013, 46(11): 3081-3090.
49.张向荣，缑丽敏，李阳阳，冯婕，焦李成.基于免疫克隆高斯过程隐变量模型的SAR目标特征提取与识别.红外与毫米波学报. 2013, 32(3): 231-236.
50. Xiangrong Zhang, Peng Weng,Jie Feng, Erlei Zhang, Biao Hou. Spatial-spectral classification based on group sparse coding for hyperspectral image. IGRASS, 2013.
51. Xiangrong Zhang, Licheng Jiao, Sisi Zhou, Nan Zhou,Jie Feng. Adaptive multi-parameter spectral feature analysis for SAR target recognition. Optical Engineering. 2012, 51(8).
52. Xiangrong Zhang, Yaoguo Zheng,Jie Feng, Shuiping Gou. SAR image change detection based on low rank matrix decomposition. IGRASS, 2012.
53.Jie Feng*, Licheng Jiao, Xiangrong Zhang, Dongdong Yang. Bag-of-visual-words based on clonal selection algorithm for SAR image classification. IEEEGeoscience and Remote SensingLetters. 2011, 8(4): 691-692.
54.Jie Feng*, Licheng Jiao, Xiangrong Zhang, Ruican Niu. An effective bag-of-visual-words framework for SAR image classification. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011.
55. Xiangrong Zhang, Zhengli Wei,Jie Feng, Licheng Jiao. Sparse representation based spectral clustering for SAR image segmentation. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011.
56. Ruican Niu, Licheng Jiao, Guiting Wang,Jie Feng. SAR image chang detection using watershed and spectral clustering. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011.
57.Dongdong Yang, Licheng Jiao, Maoguo Gong,Jie Feng. Adaptive ranks clone and k-nearest neighbor list-based immune multi-objective optimization. Computational Intelligence. 2010, 26(4): 359-385.
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2004.9 -- 2008.7
长安大学 电子信息工程 大学本科毕业 学士学位
2009.9 -- 2014.12
西安电子科技大学 电路与系统 博士研究生毕业 工学博士学位
2022.8 -- 至今
西安电子科技大学教授计算机科学与技术
2017.5 -- 2022.8
西安电子科技大学副教授计算机科学与技术
2017.1 -- 2017.4
西安电子科技大学讲师
2015.1 -- 2016.12
西安电子科技大学师资博士后
