• 其他栏目

    冯婕

    • 教授
    • 性别:女
    • 毕业院校:西安电子科技大学
    • 学历:博士研究生毕业
    • 学位:工学博士学位
    • 在职信息:在岗
    • 所在单位:人工智能学院
    • 学科:电路与系统
    • 联系方式:Email:jiefeng0109@163.com; jiefeng@xidian.edu.cn

    访问量:

    最后更新时间:..

    个人简介:

    冯婕,女,于2014年获得西安电子科技大学电子工程学院工学博士学位。现为西安电子科技大学人工智能学院教授,博士生导师。荣获“省级青年人才”、“青年托举人才”、“华山学者菁英人才计划”。目前主要从事深度学习、遥感数据处理与解译相关领域的研究。紧跟信息处理领域的国际研究前沿和国家重点研究方向——遥感数据解译,系统研究了稀疏多核学习、深度神经网络、生成对抗学习、深度强化学习模型及理论,并用于海量遥感数据挖掘和复杂背景下智能目标检测与识别等具有重大实用意义的关键技术中。研究成果发表在该领域国际权威国际期刊和会议上50余篇,包括IEEE TCYB、ISPRS RS、IEEE TGRS、PR的第一作者中科院I区SCI检索论文多篇(其中ESI高被引论文3篇,热点论文1篇);出版专著《高分辨遥感影像学习与感知》(科学出版社、40万字)和《模式识别》(西安电子科技大学出版社、30万字),授权国家发明专利20余项,专利转让多项。主持科技委领域基金、教育部联合基金、国家自然科学基金面上项目、上海航天科技创新基金重点项目等多项科研项目。担任Frontiers in Imaging副主编、Remote Sensing客座编辑等职务;带领团队荣获“遥感图像稀疏表征与智能分析竞赛”和“计图”人工智能算法挑战赛全国二等奖。



    研究方向

    • 1.    深度学习与人工智能研究与应用;
      2.    智能遥感图像、视频处理与解译;
      3.    大数据机器学习与应用;



    招生信息

    ~~~~~~~~~~~~~~~~~~~~~~~~~~
    关于研究生招生的信息:
    ~~~~~~~~~~~~~~~~~~~~~~~~~~

    招生专业为计算机科学与技术(学术型硕士研究生)和电子与通信工程(专业型硕士研究生)

    面向西安电子科技大学本部、广研院、杭研院招生;

    全职在西电校本部,兼职在西电广研院和杭州研究院;

    要求:热爱科研,主动性好。

    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。

    2024年招生人数5-6人,目前还有保研名额,欢迎保研和统考学生联系咨询,欢迎通过邮箱联系。

    联系邮箱:jiefeng0109@163.com; jiefeng@xidian.edu.cn;2023年7月更新。



    更多信息

    Google scholar主页

    DBLP 主页

    Github 主页



    论文成果   

         

    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 WangHaipeng YuLicheng JiaoXiangrong 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 AnXiangrong ZhangHuiyu ZhouJie FengLicheng 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 ZhangChen LiJingyan ZhangQimeng ChenJie FengLicheng JiaoHuiyu 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. IEEE Geoscience and Remote Sensing Letters. 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. IEEE Geoscience and Remote Sensing Letters. 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.


    教育经历

    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

    工作经历

    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