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个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:信息与通信工程学院
学科:信号与信息处理
办公地点:海山楼B513
电子邮箱:maxr@dlut.edu.cn
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- [21]Geng, Jie, 王洪玉, 范剑超, 马晓瑞.Deep Supervised and Contractive Neural Network for SAR Image Classification[J],IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,55(4):2442-2459
- [22]Zhang, Lingyan, 高庆华, 马晓瑞, 王洁, Yang, Tingting, 王宏禹.DeFi: Robust Training-Free Device-Free Wireless Localization With WiFi[J],IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2022,67(9):8822-8831
- [23]耿杰, 马晓瑞, Jiang Wen, Hu Xiaoyu, Wang Dawei, 王洪玉.Cross-Scene Hyperspectral Image Classification Based on Deep Conditional Distribution Adaptation ...[A],2019 IEEE International Geoscience and Remote Sensing Symposium,2022,716-719
- [24]王洁, Zhao, Yunong, 马晓瑞, 高庆华, Pan, Miao, 王洪玉.Cross-Scenario Device-Free Activity Recognition Based on Deep Adversarial Networks[J],IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2022,69(5):5416-5425
- [25]马晓瑞, Mou, Xuerong, 王洁, Liu, Xiaokai, 王洪玉, 尹宝才.Cross-Data Set Hyperspectral Image Classification Based on Deep Domain Adaptation[J],IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,57(12):10164-10174
- [26]马晓瑞, Mou, Xuerong, 王洁, Liu, Xiaokai, Geng, Jie, 王宏禹.Cross-Dataset Hyperspectral Image Classification Based on Adversarial Domain Adaptation[J],IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,59(5):4179-4190
- [27]Gao, Qinhua, 王洁, 马晓瑞, Feng, Xueyan, 王洪玉.CSI-Based Device-Free Wireless Localization and Activity Recognition Using Radio Image Features[J],IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2022,66(11):10346-10356
- [28]马晓瑞, Ji, Sheng, 王洁, Liu, Xiaokai, 王宏禹.Classification of Hyperspectral Image Based on Task-Specific Learning Network[J],IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,59(10):8646-8656
- [29]Fu, Anyan, 马晓瑞, 王洪玉.CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON HYBRID NEURAL NETWORKS[A],IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM,2022,2018-July:2643-2646
- [30]Geng, Jie, 王洪玉, 范剑超, 马晓瑞.CLASSIFICATION OF FUSING SAR AND MULTISPECTRAL IMAGE VIA DEEP BIMODAL AUTOENCODERS[A],2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS),2022,2017-July:823-826
- [31]Geng, Jie, 王洪玉, 范剑超, 马晓瑞.Change Detection of SAR Images Based on Supervised Contractive Autoencoders and Fuzzy Clusterin...[A],International Workshop on Remote Sensing with Intelligent Processing (RSIP),2022
- [32]Geng, Jie, 范剑超, 王洪玉, 马晓瑞.CHANGE DETECTION OF MARINE RECLAMATION USING MULTISPECTRAL IMAGES VIA PATCH-BASED RECURRENT NEU...[A],2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS),2022,2017-July:612-615
- [33]Geng, Jie, Fan, Jianchao, 马晓瑞, 王洪玉, Cao, Ke.AN ITERATIVE LOW-RANK REPRESENTATION FOR SAR IMAGE DESPECKLING[A],36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS),2022,2016-November:72-75
- [34]王洁, Tong, Jingyu, Fan, Xinxin, 马晓瑞, 高庆华, Huang, Xiaoxia.A Dynamic Differential Phase Analysis Method for Wireless Sensing[J],IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2022,68(8):7723-7732
- [35]Geng, Jie, 王洪玉, 范剑超, 马晓瑞, 王冰.Wishart distance-based joint collaborative representation for polarimetric SAR image classifica...[J],IET Radar Sonar and Navigation,2022,11(11):1620-1628
- [36]Geng, Jie, Deng, Xinyang, 马晓瑞, Jiang, Wen.Transfer Learning for SAR Image Classification via Deep Joint Distribution Adaptation Networks[J],IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,58(8):5377-5392
- [37]王洁, Gao, Qinhua, 马晓瑞, Zhao, Yunong, Fang, Yuguang.Learning to Sense: Deep Learning for Wireless Sensing with Less Training Efforts[J],IEEE WIRELESS COMMUNICATIONS,2022,27(3):156-162
- [38]马晓瑞, 王洪玉, Geng, Jie, 王洁.HYPERSPECTRAL IMAGE CLASSIFICATION WITH SMALL TRAINING SET BY DEEP NETWORK AND RELATIVE DISTANC...[A],36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS),2022,2016-November:3282-3285
- [39]马晓瑞, Geng, Jie, 王洪玉.Hyperspectral image classification via contextual deep learning[J],EURASIP Journal on Image and Video Processing,2022,2015(1)
- [40]马晓瑞, Ji, Sheng, 王洁, Geng, Jie, 王洪玉.Hyperspectral Image Classification Based on Two-Phase Relation Learning Network[J],IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,57(12):10398-10409