基本介紹
- 中文名：
- 學位/學歷：
- 職業：
- 專業方向：
- 任職院校：
- 性別：
個人經歷,社會兼職,研究方向,學術成果,榮譽獎項,
個人經歷
社會兼職
研究方向
主要研究方向為：遙感數據分析及處理；醫學圖像智慧型診斷；機器學習理論及套用。
學術成果
2020：
Xin He,Yushi Chen*, Pedram Ghamisi, Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network, IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No. 5, 2020, pp: 3246 - 3263. (SCI, IF: 5.630)
Lingbo Huang,Yushi Chen*, Dual-Path Siamese CNN for Hyperspectral Image Classification With Limited Training Samples, IEEE Geoscience and Remote Sensing Letters, in press. (SCI, IF: 3.534)
Xin He,Yushi Chen*, Transferring CNN Ensemble for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, in press. (SCI, IF: 3.534)
Guangqing Shao,Yushi Chen*, Yinsheng Wei, Convolutional neural network-based radar jamming signal classification with sufficient and limited samples, IEEE Access, in press. (SCI, IF: 4.098 )
2019：
Yushi Chen*, Kaiqiang Zhu, Lin Zhu, Xin He, Pedram Ghamisi, Jón Atli Benediktsson, Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 9, 2019, pp: 7048 - 7066. (SCI, IF: 5.630)
Yushi Chen*, Ying Wang, Yanfeng Gu, Pedram Ghamisi, Xiuping Jia, Deep Learning Ensemble for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 12, No. 6, 2019, pp: 1882- 1897. (SCI, IF: 3.392)
Yushi Chen*, Lingbo Huang , Lin Zhu , Naoto Yokoya and Xiuping Jia, Fine-Grained Classification of Hyperspectral Imagery Based on Deep Learning, Remote Sensing, 2019, 11(22), 2690. (SCI, IF: 4.030)
Xin He,Yushi Chen*, Optimized Input for CNN-Based Hyperspectral Image Classification Using Spatial Transformer Network, IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 12, 2019, pp: 1884-1888. (SCI, IF: 3.534)
Kaiqiang Zhu,Yushi Chen*, Pedram Ghamisi, Xiuping Jia, Jón Atli Benediktsson, Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification,Remote Sensing, 2019, 11(3), 223. (SCI, IF: 4.030)
Aili Wang, Ying Wang,Yushi Chen*, Hyperspectral Image Classification Based on Convolutional Neural Network and Random Forest, Remote Sensing Letters, Vol. 10, No. 11, 2019, pp: 1086-1094. (SCI, IF: 2.024)
Shutao Li, Weiwei Song, Leyuan Fang,Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson, Deep Learning for Hyperspectral Image Classification: An Overview, IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 9, 2019, pp: 6690 - 6709. (SCI, IF: 5.630)
Xin He, Aili Wang, Pedram Ghamisi, Guoyu Li,Yushi Chen*, LiDAR Data Classification Using Spatial Transformation and CNN,IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 1, 2019, pp: 125-129. (SCI, IF: 3.534)
Di Wu, Ye Zhang,Yushi Chen, Shengwei Zhong, Vehicle Detection in High-Resolution Images Using Superpixel Segmentation and CNN Iteration Strategy,IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 1, 2019, pp: 105-109. (SCI, IF: 3.534)
2018：
Lin Zhu,Yushi Chen*, Pedram Ghamisi, and Jón Atli Benediktsson, Generative Adversarial Networks for Hyperspectral Image Classification,IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 9, 2018, pp: 5046- 5063. (SCI, IF: 4.662)
Aili Wang, Xin He, Pedram Ghamisi, andYushi Chen*, LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks,IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 5, 2018, pp: 774 - 778. (SCI, IF: 2.892)
Pedram Ghamisi, Emmanuel Maggiori, Shutao Li, Roberto Souza, Yuliya Tarablaka, Gabriele Moser, Andrea De Giorgi, Leyuan Fang,Yushi Chen, Mingmin Chi, Sebastiano B. Serpico, Jon Atli Benediktsson, New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning,IEEE Geoscience and Remote Sensing Magazine, vo. 6, No. 3, 2018, pp: 10-43. (SCI, IF: 4.932)
2017：
Yushi Chen,Lin Zhu, et al., Hyperspectral Images Classification with Gabor Filtering and Convolutional Neural Network,IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 12, 2017, pp: 2355 - 2359. (SCI, IF: 2.761)
Yushi Chen,Chunyang Li, et al., Deep Fusion of Remote Sensing Data for Accurate Classification,IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 8, 2017, pp: 1253 - 1257. (SCI, IF: 2.761)
Yushi Chen,Shunli Ma, et al., Hyperspectral Data Clustering Based on Density Analysis Ensemble,Remote Sensing Letters, Vol. 8, No. 2, 2017, pp: 194-203. (SCI, IF: 1.487)
Pedram Ghamisi, Javier Plaza,Yushi Chen,Jun Li, Antonio J Plaza, Advanced Spectral Classifiers for Hyperspectral Images: A review,IEEE Geoscience and Remote Sensing Magazine,vo. 5, No. 1, 2017, pp: 8-32. (SCI, IF: 2.676)
Xi Chen, Gongjian Zhou,Yushi Chen, et al., Supervised Multiview Feature Selection Exploring Homogeneity and Heterogeneity With $ell_{1,2}$ -Norm and Automatic View Generation,IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 4, 2017, pp: 2074 - 2088. (SCI, IF: 4.942)
Shengwei Zhong, Ye Zhang,Yushi Chen, Di Wu, Combining Component Substitution and Multiresolution Analysis: A Novel Generalized BDSD Pansharpening Algorithm, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.10, No.6, 2017, pp: 2867 - 2875. (SCI, IF: 2.913)
2016：
Yushi Chen*, Hanlu Jiang, Chunyang Li, Xiuping Jia, Pedram Ghamisi, Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks,IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 10, 2016, pp: 6232 - 6251. (SCI, IF: 4.942)
Yushi Chen, Chunyang Li, et al., DEEP FUSION OF HYPERSPECTRAL AND LIDAR DATA FOR THEMATIC CLASSIFICATION,International Geoscience And Remote Sensing Symposium (IGARSS)2016. (EI)
Pedram Ghamisi,Yushi Chen, Xiao Xiang Zhu, A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data,IEEE Geoscience and Remote Sensing Letters,Vol. 13, No. 10, 2016, pp: 1537 - 1541. (SCI, IF: 2.228)
Xi Chen , Jinzi Qi,YushiChen, et al., Adaptive semisupervised feature selection without graph construction for very high resolution remote sensing images,Journal of Applied Remote Sensing, Vol. 10, No. 2, 2016.(SCI, IF: 0.937)
Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang,YushiChen, Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks,IEEE Transactions on Image Processing, Vol. 25, No. 7, 2016, pp: 2983 - 2996. (SCI, IF: 3.735)
Yidan Teng, Ye Zhang,Yushi Chen, Chunli Ti, Adaptive Morphological Filtering Method for Structural Fusion Restoration of Hyperspectral Images,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 2, 2016, pp: 655-667. (SCI, IF: 2.145)
2015：
Yushi Chen*, Xing Zhao, Xiuping Jia,Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.8, No.6, 2015, pp: 2381- 2392. (SCI, IF: 3.026)
Ran Wei, Ye Zhang,Yushi Chen. Anisotropy regularization-based restoration of imaging process in line-scanning spectrometer.JOURNAL OF APPLIED REMOTE SENSING, Vol. 9, No. 1, 2015. (SCI, IF: 1.183)
Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, andYushi Chen, Convolutional recurrent neural networks: Learning spatial dependencies for image representation, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp: 18 - 26
Di Wu, Ye Zhang,Yushi Chen, 3D SPARSE CODING BASED DENOISING OF HYPERSPECTRAL IMAGES, IEEE IGARSS 2015, (EI)
張鈞萍，谷延鋒，陳雨時。遙感數字圖像分析導論（第5版，譯著）（4-7章），電子工業出版社。
面向高空間解析度遙感大數據的特徵提取方法，中華人民共和國發明專利
基於卷積神經網路的高光譜遙感數據特徵提取方法，中華人民共和國發明專利
2014：
Yushi Chen*, Zhouhan Lin, Xing Zhao, Gang Wang, Yanfeng Gu,Deep Learning-Based Classification of Hyperspectral Data,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.7, No.6, 2014, pp: 2094 - 2107. (SCI, IF: 2.874)
Yushi Chen*, Xing Zhao, Zhouhan Lin,Optimizing Subspace SVM Ensemble for Hyperspectral Imagery Classification,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.7, No.4, 2014, pp: 1295 - 1305.(SCI, IF: 2.874)
Yushi Chen, Xing Zhao, Zhouhan Lin, JOINT ADABOOST AND MULTIFEATURE BASED ENSEMBLE FOR HYPERSPECTRAL IMAGE CLASSIFICATION,International Geoscience And Remote Sensing Symposium (IGARSS)2014, pp: 2874-2877, Quebec, Canada. (EI)
Shengwei Zhong,Yushi Chen, Ye Zhang, SPATIAL INFORMATION AIDED FINE CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH SIMILAR SPECTRUMS,International Geoscience And Remote Sensing Symposium (IGARSS)2014, pp: 2882-2885 , Quebec, Canada. (EI)
Yidan Teng, Ye Zhang,Yushi Chen, A BIDIRECTIONAL GRADIENT PREDICTION BASED METHOD FOR HYPERSPECTRAL DATA JUNK BANDS RESTORATION,International Geoscience And Remote Sensing Symposium (IGARSS)2014, pp: 4624-4627, Quebec, Canada. (EI)
Yidan Teng, Ye Zhang,Yushi Chen, Chunli Ti, A NOVEL HYPERSPECTRAL IMAGES DESTRIPING METHOD BASED ON EDGE RECONSTRUCTION AND ADAPTIVE MORPHOLOGICAL OPERATORS,International Conference on Image Processing (ICIP)2014, pp: 1-5, Paris, France. (EI)
陳雨時，高光譜數據降維及壓縮技術（專著），哈爾濱工程大學出版社。
基於集成學習的高光譜遙感數據分類方法，中華人民共和國發明專利，專利號 201410283594.1
基於深度學習的高光譜遙感數據分類方法，中華人民共和國發明專利，專利號 201410359935.9
基於分層集成學習的高光譜遙感圖像分類方法，中華人民共和國發明專利，專利號 201410541909.8
2013：
Yushi Chen, Zhouhan Lin, Xing Zhao, RIEMANNIAN MANIFOLD LEARNING BASED k-NEAREST-NEIGHBOR FOR HYPERSPECTRAL IMAGE CLASSIFICATION,International Geoscience And Remote Sensing Symposium (IGARSS)2013, pp: 1975-1978, Melbourne, Australia. (EI)
Yushi Chen, Changbo Qu, Zhouhan Lin, “SUPERVISED LOCALLY LINEAR EMBEDDING BASED DIMENSION REDUCTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION”,International Geoscience And Remote Sensing Symposium (IGARSS)2013, pp: 3578-3581, Melbourne, Australia. (EI)
Zhouhan Lin,Yushi Chen, Xing Zhao, Gang Wang, Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders,International Conference on Information, Communications and Signal Processing (ICICS)2013, pp: 1-5, Taiwan (EI)
一種高光譜遙感數據非線性降維方法，中華人民共和國發明專利
榮譽獎項
2019年，IEEE GRSS 2019 Highest Impact Paper Award；
2019年，哈爾濱工業大學 研究生教育成果一等獎；
2019年，哈爾濱工業大學 電信學院 百尺竿頭獎；
2019年，哈爾濱工業大學 金牌碩士畢業生 指導教師；
2018年，黑龍江省科學技術獎一等獎（自然科學類）;
2017年，IEEE TGRS Top 15 reviewers；
2017年，哈爾濱工業大學 銀牌碩士畢業生 指導教師；
2015年，哈爾濱工業大學 金牌碩士畢業生 指導教師；
2014年，哈爾濱工業大學 金牌碩士畢業生 指導教師；
2013年，哈爾濱工業大學 青年教師教學基本功大賽二等獎；
2012年，全軍武器裝備科技進步二等獎；
2009年，黑龍江省高校科學技術獎二等獎；
2009年，黑龍江省科學技術獎二等獎（自然科學類）。
