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Hyperspectral Image Denoising via Spatial–Spectral Recurrent Transformer Journal article
Fu, Guanyiman, Xiong, Fengchao, Lu, Jianfeng, Zhou, Jun, Zhou, Jiantao, Qian, Yuntao. Hyperspectral Image Denoising via Spatial–Spectral Recurrent Transformer[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62, 5511214.
Authors:  Fu, Guanyiman;  Xiong, Fengchao;  Lu, Jianfeng;  Zhou, Jun;  Zhou, Jiantao; et al.
Favorite | TC[WOS]:8 TC[Scopus]:7  IF:7.5/7.6 | Submit date：2024/05/16
Deep Learning  Global Spectral Correlation (Gsc)  Hyperspectral Image (Hsi) Denoising  Nonlocal Spatial Self-similarity (Nss)  Transformer  
Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification Journal article
Wang, Haoyu, Cheng, Yuhu, Chen, C. L.Philip, Wang, Xuesong. Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(2), 610-616.
Authors:  Wang, Haoyu;  Cheng, Yuhu;  Chen, C. L.Philip;  Wang, Xuesong
Favorite | TC[WOS]:18 TC[Scopus]:15  IF:5.3/5.7 | Submit date：2023/05/02
Broad Learning  Graph Convolution  Hyperspectral Image Classification  Spectral-spatial Feature  
Robust and fuzzy ensemble framework via spectral learning for random projection-based fuzzy-c-means clustering Journal article
Shi, Zhaoyin, Chen, Long, Duan, Junwei, Chen, Guangyong, Zhao, Kai. Robust and fuzzy ensemble framework via spectral learning for random projection-based fuzzy-c-means clustering[J]. Engineering Applications of Artificial Intelligence, 2023, 117.
Authors:  Shi, Zhaoyin;  Chen, Long;  Duan, Junwei;  Chen, Guangyong;  Zhao, Kai
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:7.5/7.4 | Submit date：2023/02/08
Ensemble  Fuzzy-c-means  Random Projection  Robust  Spectral Learning  
RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering Journal article
Yang, Geping, Deng, Sucheng, Chen, Xiang, Chen, Can, Yang, Yiyang, Gong, Zhiguo, Hao, Zhifeng. RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering[J]. PATTERN RECOGNITION, 2022, 137, 109275.
Authors:  Yang, Geping;  Deng, Sucheng;  Chen, Xiang;  Chen, Can;  Yang, Yiyang; et al.
Favorite | TC[WOS]:6 TC[Scopus]:10  IF:7.5/7.6 | Submit date：2023/02/28
Large-scale  Machine Learning  Spectral Clustering  Unsupervised Learning  
LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering Conference paper
Geping Yang, Sucheng Deng, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao. LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering[C], 2022, 556-573.
Authors:  Geping Yang;  Sucheng Deng;  Yiyang Yang;  Zhiguo Gong;  Xiang Chen; et al.
Favorite | TC[WOS]:4 TC[Scopus]:3 | Submit date：2022/08/05
Spectral Clustering  Data Quantization  Machine Learning  Scalability  
Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering Journal article
Chen, Yongyong, Xiao, Xiaolin, Hua, Zhongyun, Zhou, Yicong. Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(9), 4712-4726.
Authors:  Chen, Yongyong;  Xiao, Xiaolin;  Hua, Zhongyun;  Zhou, Yicong
Favorite | TC[WOS]:49 TC[Scopus]:45  IF:10.2/10.4 | Submit date：2022/05/13
Adaptive Learning  Low-rank Representation (Lrr)  Markov Chain  Multiview Clustering  Spectral Clustering  
Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss Journal article
Huang, Ke Kun, Ren, Chuan Xian, Liu, Hui, Lai, Zhao Rong, Yu, Yu Feng, Dai, Dao Qing. Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss[J]. Pattern Recognition, 2021, 112, 107744.
Authors:  Huang, Ke Kun;  Ren, Chuan Xian;  Liu, Hui;  Lai, Zhao Rong;  Yu, Yu Feng; et al.
Favorite | TC[WOS]:25 TC[Scopus]:28  IF:7.5/7.6 | Submit date：2021/12/07
Convolutional Neural Network  Discriminative Learning  Hyper-spectral Image Classification  Metric Learning  Triplet Loss  
Consensus guided incomplete multi-view spectral clustering Journal article
Wen,Jie, Sun,Huijie, Fei,Lunke, Li,Jinxing, Zhang,Zheng, Zhang,Bob. Consensus guided incomplete multi-view spectral clustering[J]. Neural Networks, 2021, 133, 207-219.
Authors:  Wen,Jie;  Sun,Huijie;  Fei,Lunke;  Li,Jinxing;  Zhang,Zheng; et al.
Favorite | TC[WOS]:40 TC[Scopus]:43  IF:6.0/7.9 | Submit date：2021/03/11
Co-regularization  Incomplete Multi-view Clustering  Manifold Learning  Spectral Clustering  
Adaptive multi-scale deep neural networks with perceptual loss for panchromatic and multispectral images classification Journal article
Shi,Cheng, Pun,Chi Man. Adaptive multi-scale deep neural networks with perceptual loss for panchromatic and multispectral images classification[J]. Information Sciences, 2019, 490, 1-17.
Authors:  Shi,Cheng;  Pun,Chi Man
Favorite | TC[WOS]:30 TC[Scopus]:35  IF:0/0 | Submit date：2021/03/11
Adaptive Multi-scale Learning  Convolutional Neural Networks  Perceptual Loss  Spectral Similarity Constraint  Structure Similarity Constraint  
Hyperspectral Unmixing Using Deep Learning Conference paper
CHEN-JIAN WANG, HONG LI, YUAN-YAN TANG. Hyperspectral Unmixing Using Deep Learning[C]:IEEE, 2019, 8946465.
Authors:  CHEN-JIAN WANG;  HONG LI;  YUAN-YAN TANG
Favorite | TC[WOS]:14 TC[Scopus]:6 | Submit date：2022/05/17
Convolutional Neural Network  Deep Learning  Fully Connected Neural Network  Hyperspectral Unmixing  Linear Spectral Mixture Model