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个人信息Personal Information
教授 博士生导师 硕士生导师
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：博士研究生毕业
在职信息：在岗
所在单位：人工智能学院
学科：智能信息处理. 计算机科学与技术. 模式识别与智能系统
办公地点：主楼II-410
联系方式：
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- Yang, Shuyuan^Wang, Min^Long, Hezhao^Liu, Zhi,Sparse Robust Filters for scene classification of Synthetic Aperture Radar (SAR) images:NEUROCOMPUTING,2016,184:91-98
- Yang, Lixia; Yang, Shuyuan; Li, Sujing; Zhang, Rui; Liu, Fang; Jiao, Licheng,Coupled compressed sensing inspired sparse spatial-spectral LSSVM for hyperspectral image classification:KNOWLEDGE-BASED SYSTEMS,2015,79:80-89
- Kai, Zhang ; Hong, Li ; Shuyuan, Yang ; Min, Wang ; Zhengkang, Liu ; Rong, Qu ; Licheng, Jiao ,Sparse double-geometric nonlocal mean image recovery via steerable kernel:Applied Soft Computing Journal,2015,33:77-85
- Wang, Min ; Zhou, Hongjing ; Yang, Shuyuan ; Jin, Li ; Jiao, Licheng ,Robust compressive features based power quality events classification with Analog-Digital Mixing Network (ADMN):Neurocomputing,2016,171:685-692
- Yang, Shuyuan; Wang, Min; Li, Peng; Jin, Li; Wu, Bin; Jiao, Licheng,Compressive Hyperspectral Imaging via Sparse Tensor and Nonlinear Compressed Sensing:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2015,53(11):5943-5957
- Zhang, Kai^Wang, Min^Yang, Shuyuan^Xing, Yinghui^Qu, Rong,Fusion of Panchromatic and Multispectral Images via Coupled Sparse Non-Negative Matrix Factorization:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2016,9(12):5740-5747
- Yang, Shuyuan^Zhang, Jiren^Cui, Shun^Wang, Min^Jiao, Licheng,Curvelet Support Value Filters (CSVFs) for image super-resolution:NEUROCOMPUTING,2016,211:53-59
- Yang, Shuyuan^Zhou, Hongjing^Wang, Min^Feng, Zhixi^Jiao, Licheng,Fuzzy Signature-Based Discriminative Subspace Projection for Hyperspectral Data Classification:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2016,9(9):4196-4202
- Incremental Semi-Supervised classification of data streams via self-representative selection:APPLIED SOFT COMPUTING,2016,47:389-394
- New Hierarchical Saliency Filtering for Fast Ship Detection in High-Resolution SAR Images:IEEE Transactions on Geoscience and Remote Sensing,2017,55(1):351-362