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个人信息：Personal Information
副教授 研究生导师
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
办公地点：北校区主楼二区417
联系方式：jgu@xidian.edu.cn , xuer6126@126.com
扫描关注
- [1]Multi-scale Spatial Aggregation Network for Remote Sensing Image Segmentation.International Conference on Intelligence Science，Accepted..2022
- [2]Deep Reinforcement Learning for Semi-Supervised Hyperspectral Band Selection.IEEE Transactions on Geoscience and Remote Sensing，Accepted.（中科院二区，IF：5.786，一类贡献度）.2022
- [3]Recurrent Attention and Semantic Gate for Remote Sensing Image Captioning.IEEE Transactions on Geoscience and Remote Sensing，Accepted.（中科院二区，IF：5.786，一类贡献度）.2022
- [4]A Hybrid Network with Structural Constraints for SAR Image Scene Classification.IEEE Transactions on Geoscience and Remote Sensing，Accepted.（中科院二区，IF：5.786，一类贡献度）.2022
- [5]Symmetrical Lattice Generative Adversarial Network for Remote Sensing Images Compression.ISPRS Journal of Photogrammetry and Remote Sensing. （中科院一区，IF：8.979，一类贡献度）.2021
- [6]Multi-label Aerial Image Classification via Adjacency-Based Label and Feature Co-embedding.CAAI International Conference on Artificial Intelligence..2021
- [7]Multi-feature Weighted Sparse Graph for SAR Image Analysis.IEEE Transactions on Geoscience and Remote Sensing.2020,58 (2):881-891.（中科院二区，IF：5.786，一类贡献度）
- [8]Structural feature learning-based unsupervised semantic segmentation of synthetic aperture radar image.Journal of Applied Remote Sensing.2019
- [9]Fuzzy Double C-Means Clustering Based on Sparse Self-Representation.IEEE Transactions on Fuzzy Systems.2018,26 (2):612-626. （中科院一区，IF：8.415，一类贡献度）
- [10]Random Subspace Based Ensemble Sparse Representation.Pattern Recognition.2018,74 :544-555. （中科院二区，IF：3.962，一类贡献度）
- [11]Sparse Learning based Fuzzy C-means Clustering.Knowledge-Based Systems.2017,119 (1):113-125. （中科院二区，IF：4.529，二类贡献度）
- [12]A Multi-Kernel Joint Sparse Graph for SAR Image Segmentation.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2016,9 (3):1265-1285. （中科院二区，IF：3.026，一类贡献度）
- [13]Discriminant deep belief network for high-resolution SAR image classification.Pattern Recognition.2016,61 :686-701. （中科院二区，IF：3.96，一类贡献度）
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