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Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection Journal article
Zhang, Yongshan, Qi, Jianwen, Wang, Xinxin, Cai, Zhihua, Peng, Jiangtao, Zhou, Yicong. Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024.
Authors:  Zhang, Yongshan;  Qi, Jianwen;  Wang, Xinxin;  Cai, Zhihua;  Peng, Jiangtao; et al.
Favorite | TC[Scopus]:2  IF:8.3/7.1 | Submit date：2024/09/03
Hyperspectral Band Selection  Graph Self-representation  High-order Tensor  Global-local Information  
Small-Sample Classification for Hyperspectral Images With EPF-Based Smooth Ordering Journal article
Ye, Zhijing, Zhang, Liming, Zheng, Chengyong, Peng, Jiangtao, Benediktsson, Jon Atli. Small-Sample Classification for Hyperspectral Images With EPF-Based Smooth Ordering[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5525814.
Authors:  Ye, Zhijing;  Zhang, Liming;  Zheng, Chengyong;  Peng, Jiangtao;  Benediktsson, Jon Atli
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/09/03
Edge-preserving Features (Epfs)  Hyperspectral Image (Hsi)  Small-sample Classification  Smooth Ordering  
Refined Prototypical Contrastive Learning for Few-Shot Hyperspectral Image Classification Journal article
Quanyong Liu, Jiangtao Peng, Yujie Ning, Na Chen, Weiwei Sun, Qian Du, Yicong Zhou. Refined Prototypical Contrastive Learning for Few-Shot Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5506214.
Authors:  Quanyong Liu;  Jiangtao Peng;  Yujie Ning;  Na Chen;  Weiwei Sun; et al.
Favorite | TC[WOS]:55 TC[Scopus]:51  IF:7.5/7.6 | Submit date：2023/08/03
Contrastive Learning (Cl)  Few-shot Learning (Fsl)  Hyperspectral Image (Hsi) Classification  Prototypical Network  
Trending IC design directions in 2022 Journal article
Chan, Chi Hang, Cheng, Lin, Deng, Wei, Feng, Peng, Geng, Li, Huang, Mo, Jia, Haikun, Jie, Lu, Lei, Ka Meng, Liu, Xihao, Liu, Xun, Liu, Yongpan, Lu, Yan, Nie, Kaiming, Pan, Dongfang, Qi, Nan, Sin, Sai Weng, Sun, Nan, Sun, Wenyu, Xu, Jiangtao, Yue, Jinshan, Zhang, Milin, Zhang, Zhao. Trending IC design directions in 2022[J]. Journal of Semiconductors, 2022, 43(7), 071401.
Authors:  Chan, Chi Hang;  Cheng, Lin;  Deng, Wei;  Feng, Peng;  Geng, Li; et al.
Favorite | TC[WOS]:18 TC[Scopus]:22  IF:4.8/3.3 | Submit date：2022/08/24
Artificial Intelligence (Ai)  Biomedical  Cryogenic  Data Converters  Imager  Integrated Circuit Design  Power Management  Radio Frequency (Rf) Circuits  Sensor  
Local Correntropy Matrix Representation for Hyperspectral Image Classification Journal article
Zhang, Xinyu, Wei, Yantao, Cao, Weijia, Yao, Huang, Peng, Jiangtao, Zhou, Yicong. Local Correntropy Matrix Representation for Hyperspectral Image Classification[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60, 5525813.
Authors:  Zhang, Xinyu;  Wei, Yantao;  Cao, Weijia;  Yao, Huang;  Peng, Jiangtao; et al.
Favorite | TC[WOS]:13 TC[Scopus]:14  IF:7.5/7.6 | Submit date：2022/05/17
Correntropy Matrix  Feature Extraction  Hyperspectral Image (Hsi) Classification  
Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Li, Hong, Peng, Jiangtao, Cui, Wenjing, Zhang, Liming. Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
Authors:  Cheng, Chunbo;  Li, Hong;  Peng, Jiangtao;  Cui, Wenjing;  Zhang, Liming
Favorite | TC[WOS]:19 TC[Scopus]:19  IF:7.5/7.6 | Submit date：2022/05/17
Deep High-order Tensor Convolutional Sparse Coding (Csc)  Deep Learning  Graph-based Learning (Gsl)  Hyperspectral Image (Hsi) Classification  
Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network Journal article
Cheng, Chunbo, Li, Hong, Peng, Jiangtao, Cui, Wenjing, Zhang, Liming. Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, 4753-4764.
Authors:  Cheng, Chunbo;  Li, Hong;  Peng, Jiangtao;  Cui, Wenjing;  Zhang, Liming
Favorite | TC[WOS]:19 TC[Scopus]:20  IF:4.7/5.0 | Submit date：2022/05/13
Deep Learning  Hyperspectral Image Classification  Local Binary Pattern  Random Patches Network  
Cauchy NMF for Hyperspectral Unmixing Conference paper
Jiangtao Peng, Fan Jiang, Weiwei Sun, Yicong Zhou. Cauchy NMF for Hyperspectral Unmixing[C], 2021, 2384-2387.
Authors:  Jiangtao Peng;  Fan Jiang;  Weiwei Sun;  Yicong Zhou
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2022/07/09
Hyperspectral Unmixing  Nonnegative Matrix Factorization  Cauchy Loss Function  
Self-Paced Nonnegative Matrix Factorization for Hyperspectral Unmixing Journal article
Peng, Jiangtao, Zhou, Yicong, Sun, Weiwei, Du, Qian, Xia, Lekang. Self-Paced Nonnegative Matrix Factorization for Hyperspectral Unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(2), 1501-1515.
Authors:  Peng, Jiangtao;  Zhou, Yicong;  Sun, Weiwei;  Du, Qian;  Xia, Lekang
Favorite | TC[WOS]:61 TC[Scopus]:64  IF:7.5/7.6 | Submit date：2021/12/07
Hyperspectral Unmixing  Nonnegative Matrix Factorization (Nmf)  Self-paced Learning (Spl)  
A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing Journal article
Peng, Jiangtao, Sun, Weiwei, Jiang, Fan, Chen, Hong, Zhou, Yicong, Du, Qian. A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 19, 5500105.
Authors:  Peng, Jiangtao;  Sun, Weiwei;  Jiang, Fan;  Chen, Hong;  Zhou, Yicong; et al.
Favorite | TC[WOS]:4 TC[Scopus]:13  IF:4.0/4.4 | Submit date：2022/05/17
Hyperspectral Imaging  Robustness  Data Models  Matrix Decomposition  Shape  Loss Measurement  General Loss  Hyperspectral Unmixing  Nonnegative Matrix Factorization (Nmf)