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A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Cui, Wenjing, Gao, Junbin, Cun, Yuxiao. A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5521416.
Authors:  Cheng, Chunbo;  Zhang, Liming;  Li, Hong;  Cui, Wenjing;  Gao, Junbin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/08/05
Convolutional Neural Network (Cnn)  Deep High-order Tensor Sparse Representation (Sr)  Deep Learning  Graph-based Learning (Gsl)  Hyperspectral Image (Hsi) Classification  
A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Dai, Lei, Cui, Wenjing. A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification[J]. IEEE Transactions on Image Processing, 2024, 33, 1080-1094.
Authors:  Cheng, Chunbo;  Zhang, Liming;  Li, Hong;  Dai, Lei;  Cui, Wenjing
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:10.8/12.1 | Submit date：2024/05/16
Cnn  Deep Learning  Hsis Classification  Stochastic Adaptive Fourier Decomposition  
Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural network Journal article
Yan, Jielu, Zhang, Bob, Zhou, Mingliang, Kwok, Hang Fai, Siu, Shirley W.I.. Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural network[J]. Computers in Biology and Medicine, 2022, 147, 105717.
Authors:  Yan, Jielu;  Zhang, Bob;  Zhou, Mingliang;  Kwok, Hang Fai;  Siu, Shirley W.I.
Favorite | TC[WOS]:13 TC[Scopus]:14  IF:7.0/6.7 | Submit date：2022/08/01
Classification  Deep Learning  Drug Discovery  Ion Channel  Multi-branch-cnn  Peptides  
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote-Sensing Imagery Journal article
Lu, Ming, Fang, Leyuan, Li, Muxing, Zhang, Bob, Zhang, Yi, Ghamisi, Pedram. NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote-Sensing Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
Authors:  Lu, Ming;  Fang, Leyuan;  Li, Muxing;  Zhang, Bob;  Zhang, Yi; et al.
Favorite | TC[WOS]:25 TC[Scopus]:36  IF:7.5/7.6 | Submit date：2022/05/17
Convolutional Neural Network (Cnn)  Deep Learning  Semantic Segmentation  Water Extraction  Weak Supervision  
Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling Journal article
Altabey, Wael A., Noori, Mohammad, Wang, Tianyu, Ghiasi, Ramin, Wu, Zhishen. Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling[J]. Applied Sciences (Switzerland), 2021, 11(13), 6063.
Authors:  Altabey, Wael A.;  Noori, Mohammad;  Wang, Tianyu;  Ghiasi, Ramin;  Wu, Zhishen
Favorite | TC[WOS]:18 TC[Scopus]:28  IF:2.5/2.7 | Submit date：2021/12/08
3d Shadow Modeling  Automatic Crack Identification  Convolutional Neural Network (Cnn)  Deep Learning  Structural Health Monitoring (Shm)  
Deep Learning-Based Crack Identification for Steel Pipelines by Extracting Features from 3D Shadow Modeling Journal article
Altabey, W. A., Noori, M., Wang, T., Ghiasi, R.. Deep Learning-Based Crack Identification for Steel Pipelines by Extracting Features from 3D Shadow Modeling[J]. Applied Sciences, 2021, 1-21.
Authors:  Altabey, W. A.;  Noori, M.;  Wang, T.;  Ghiasi, R.
Favorite |   IF:2.5/2.7 | Submit date：2022/08/30
Deep Learning  Automatic Crack Identification  Convolutional Neural Network (Cnn)  3d Shadow Modeling  Structural Health Monitoring (Shm)  
Accurate screw detection method based on faster R-CNN and rotation edge similarity for automatic screw disassembly Journal article
Li, Xinyu, Li, Ming, Wu, Yongfei, Zhou, Daoxiang, Liu, Tianyu, Hao, Fang, Yue, Junhong, Ma, Qiyue. Accurate screw detection method based on faster R-CNN and rotation edge similarity for automatic screw disassembly[J]. International Journal of Computer Integrated Manufacturing, 2021, 34(11), 1177-1195.
Authors:  Li, Xinyu;  Li, Ming;  Wu, Yongfei;  Zhou, Daoxiang;  Liu, Tianyu; et al.
Favorite | TC[WOS]:28 TC[Scopus]:34  IF:3.7/4.2 | Submit date：2022/05/13
Automated Screw Disassembly  Deep Learning Technology  Faster R-cnn  Mobile Phone Mainboard  Rotation Edge Similarity  Screw Detection Method  
SAR target classification based on radar image luminance analysis by deep learning Journal article
Zhu, Hongliang, Wang, Weiye, Leung, Rocky. SAR target classification based on radar image luminance analysis by deep learning[J]. IEEE Sensors Letters, 2020, 4(3), 9016117.
Authors:  Zhu, Hongliang;  Wang, Weiye;  Leung, Rocky
Favorite | TC[WOS]:30 TC[Scopus]:34  IF:2.2/2.2 | Submit date：2021/12/06
Accuracy  Convolutional Neural Network (Cnn)  Deep Learning  Extended Operating Condition (Eoc)  Luminance  Mstar  Sensor Signal Processing  Standard Operating Condition (Soc)  Synthetic-aperture Radar  Target Classification  
A Computation Resource Friendly Convolutional Neural Network Engine for EEG-based Emotion Recognition Conference paper
Zhan,Yi, Vai,Mang I., Barma,Shovan, Pun,Sio Hang, Li,Jia Wen, Mak,Peng Un. A Computation Resource Friendly Convolutional Neural Network Engine for EEG-based Emotion Recognition[C], IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2019, 9071594.
Authors:  Zhan,Yi;  Vai,Mang I.;  Barma,Shovan;  Pun,Sio Hang;  Li,Jia Wen; et al.
Favorite | TC[WOS]:6 TC[Scopus]:12 | Submit date：2021/03/11
Eeg  Emotion Recognition  Deep Learning  Cnn  Depth-wise Convolution  Parallel Convolution Neural Network  
Multi-Task CNN Model for Attribute Prediction Journal article
Abdulnabi A.H., Wang G., Lu J., Jia K.. Multi-Task CNN Model for Attribute Prediction[J]. IEEE Transactions on Multimedia, 2015, 17(11), 1949.
Authors:  Abdulnabi A.H.;  Wang G.;  Lu J.;  Jia K.
Favorite | TC[WOS]:187 TC[Scopus]:240 | Submit date：2018/10/30
Deep Cnn  Latent Tasks Matrix  Multi-task Learning  Semantic Attributes