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Deep learning model for solar and wind energy forecasting considering Northwest China as an example Journal article
Li, Pengyu, Yang, Huiyu, Wu, Han, Wang, Yujia, Su, Hao, Zheng, Tianlong, Zhu, Fang, Zhang, Guangtao, Han, Yu. Deep learning model for solar and wind energy forecasting considering Northwest China as an example[J]. Results in Engineering, 2024, 24, 102939.
Authors:  Li, Pengyu;  Yang, Huiyu;  Wu, Han;  Wang, Yujia;  Su, Hao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.0/5.6 | Submit date：2024/10/10
Attention-based Spatial-temporal Graph Neural Network  Deep Learning  Long Short-term Memory  Solar Energy  Wind Energy  
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  
A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method Journal article
Dong, Yunxuan, Zhou, Binggui, Yang, Guanghua, Hou, Fen, Hu, Zheng, Ma, Shaodan. A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method[J]. NEUROCOMPUTING, 2023, 556, 126663.
Authors:  Dong, Yunxuan;  Zhou, Binggui;  Yang, Guanghua;  Hou, Fen;  Hu, Zheng; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:5.5/5.5 | Submit date：2023/08/30
Deep Learning  Feature Enhancement  Spatial Series To Image Series  Spatial–temporal Learning  Tourism Demand Forecasting  
A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint Journal article
Wei Yan, Yu Yan, Ping Shen, Wan-Huan Zhou. A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint[J]. Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards, 2023, 17(1), 169-180.
Authors:  Wei Yan;  Yu Yan;  Ping Shen;  Wan-Huan Zhou
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:6.5/4.8 | Submit date：2023/08/03
Immersed Tunnel  Axial Displacement  Deep Neural Network  Hybrid Physical Data  Spatial Generalisation  
Spatial-aware network for hyperspectral image classification Journal article
Wei, Yantao, Zhou, Yicong. Spatial-aware network for hyperspectral image classification[J]. Remote Sensing, 2021, 13(16), 3232.
Authors:  Wei, Yantao;  Zhou, Yicong
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:4.2/4.9 | Submit date：2021/12/08
Deep Learning  Feature Learning  Hyperspectral Image Classification  Spatial-aware Network  
Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention Journal article
Wu, Haiwei, Zhou, Jiantao, Li, Yuanman. Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention[J]. IEEE Transactions on Multimedia, 2021, 24, 4016 - 4027.
Authors:  Wu, Haiwei;  Zhou, Jiantao;  Li, Yuanman
Favorite | TC[WOS]:28 TC[Scopus]:31  IF:8.4/8.0 | Submit date：2022/05/13
Image Inpainting  Lbp  Spatial Attention  Deep Learning  
Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction Journal article
Li, Yuanman, Liang, Rongqin, Wei, Wei, Wang, Wei, Zhou, Jiantao, Li, Xia. Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction[J]. IEEE Transactions on Network Science and Engineering, 2021, 9(3), 1006-1019.
Authors:  Li, Yuanman;  Liang, Rongqin;  Wei, Wei;  Wang, Wei;  Zhou, Jiantao; et al.
Favorite | TC[WOS]:29 TC[Scopus]:34  IF:6.7/6.0 | Submit date：2022/05/13
Deep Learning  Prediction Algorithms  Predictive Models  Social Behavior  Social Computing  Social Interactions  Spatial-temporal Attention  Temporal Pyramid Network  Trajectory Prediction  
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut Journal article
Zhao,Baoxin, Xiong,Haoyi, Bian,Jiang, Guo,Zhishan, Xu,Cheng Zhong, Dou,Dejing. COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut[J]. IEEE Transactions on Multimedia, 2020, 23, 1722-1730.
Authors:  Zhao,Baoxin;  Xiong,Haoyi;  Bian,Jiang;  Guo,Zhishan;  Xu,Cheng Zhong; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.4/8.0 | Submit date：2021/03/09
Computer Architecture  Convolution  Convolutional Neural Networks  Deep Learning  Spatial Resolution  Transforms  
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax Journal article
Han Z., Liu Z., Vong C.-M., Liu Y.-S., Bu S., Han J., Chen C.L.P.. Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax[J]. IEEE Transactions on Image Processing, 2018, 27(6), 3049-3063.
Authors:  Han Z.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Bu S.; et al.
Favorite | TC[WOS]:37 TC[Scopus]:43 | Submit date：2019/02/11
Coupled Softmax  Deep Spatial  Directed Circular Graph  Spatially-enhanced 3d Features  
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax Journal article
Han, Z. Z., Liu, Z. B., Vong, C. M., Liu, Y. S., Bu, S. H., Han, J. W., Chen, C. L. P.. Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax[J]. IEEE Transactions on Image Processing (SCI-E), 2018, 3049-3063.
Authors:  Han, Z. Z.;  Liu, Z. B.;  Vong, C. M.;  Liu, Y. S.;  Bu, S. H.; et al.
Favorite |   IF:10.8/12.1 | Submit date：2022/08/09
Deep spatial  spatially-enhanced 3D features  directed circular graph  coupled softmax