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Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network Journal article
Tang, Jingwei, Liu, Zhi, Hu, Jianming. Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network[J]. IEEE Transactions on Sustainable Energy, 2024, 15(3), 1946-1956.
Authors:  Tang, Jingwei;  Liu, Zhi;  Hu, Jianming
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:8.6/8.6 | Submit date：2024/05/16
Time Zigzag  Flexible Convolution  Graph Convolutional Network  Heavy-tail Quantile Function  
Social Influence Learning for Recommendation Systems Conference paper
Chen, Ximing, Lei, Pui Ieng, Sheng, Yijun, Liu, Yanyan, Gong, Zhiguo. Social Influence Learning for Recommendation Systems[C]:Association for Computing Machinery, 2024, 312-322.
Authors:  Chen, Ximing;  Lei, Pui Ieng;  Sheng, Yijun;  Liu, Yanyan;  Gong, Zhiguo
Favorite | TC[Scopus]:1 | Submit date：2024/12/05
Generative Models  Graph Convolution Networks  Social Influence  Social Recommendation  
Adaptive Spatial-Temporal Graph-Mixer for Human Motion Prediction Journal article
Yang, Shubo, Li, Haolun, Pun, Chi Man, Du, Chun, Gao, Hao. Adaptive Spatial-Temporal Graph-Mixer for Human Motion Prediction[J]. IEEE Signal Processing Letters, 2024, 31, 1244-1248.
Authors:  Yang, Shubo;  Li, Haolun;  Pun, Chi Man;  Du, Chun;  Gao, Hao
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:3.2/3.4 | Submit date：2024/06/05
Adaptive Learning  Graph Convolution  Human Motion Prediction  
Multi-view dynamic graph convolution neural network for traffic flow prediction Journal article
Huang,Xiaohui, Ye,Yuming, Yang,Xiaofei, Xiong,Liyan. Multi-view dynamic graph convolution neural network for traffic flow prediction[J]. Expert Systems with Applications, 2023, 222, 119779.
Authors:  Huang,Xiaohui;  Ye,Yuming;  Yang,Xiaofei;  Xiong,Liyan
Favorite | TC[WOS]:28 TC[Scopus]:34  IF:7.5/7.6 | Submit date：2023/08/03
Dynamic Fusion  Graph Convolution Network  Multi-view Encoder–decoders  Traffic Flow Prediction  
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]:21 TC[Scopus]:21  IF:5.3/5.7 | Submit date：2023/05/02
Broad Learning  Graph Convolution  Hyperspectral Image Classification  Spectral-spatial Feature  
Multi-mode dynamic residual graph convolution network for traffic flow prediction Journal article
Huang, Xiaohui, Ye, Yuming, Ding, Weihua, Yang, Xiaofei, Xiong, Liyan. Multi-mode dynamic residual graph convolution network for traffic flow prediction[J]. INFORMATION SCIENCES, 2022, 609, 548-564.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Ding, Weihua;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:26 TC[Scopus]:28  IF:0/0 | Submit date：2022/08/02
Graph Convolution Network  Multi-mode Fusion  Spatio-temporal Data  Traffic Flow Prediction  
Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering Journal article
Zhang, Yongshan, Wang, Yang, Chen, Xiaohong, Jiang, Xinwei, Zhou, Yicong. Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32(12), 8500-8511.
Authors:  ; et al.
Favorite | TC[WOS]:35 TC[Scopus]:48  IF:8.3/7.1 | Submit date：2023/01/30
Autoencoder  Dimensionality Reduction  Feature Extraction  Graph Convolution  Hyperspectral Imagery  
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection Journal article
Zhang, Yongshan, Wang, Xinxin, Jiang, Xinwei, Zhou, Yicong. Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 5516712.
Authors:  Zhang, Yongshan;  Wang, Xinxin;  Jiang, Xinwei;  Zhou, Yicong
Favorite | TC[WOS]:26 TC[Scopus]:65  IF:7.5/7.6 | Submit date：2022/05/17
Graph Convolution  Hyperspectral Band Selection  Marginalized Corruption  Self-representation (Sr)  Unsupervised Learning  
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection Journal article
Zhang, Yongshan, Wang, Xinxin, Jiang, Xinwei, Zhou, Yicong. Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
Authors:  Zhang, Yongshan;  Wang, Xinxin;  Jiang, Xinwei;  Zhou, Yicong
Favorite | TC[WOS]:7 TC[Scopus]:5  IF:7.5/7.6 | Submit date：2023/01/30
Band Selection  Graph Convolution  Hyperspectral Imagery  Self-representation  Unsupervised Learning  
Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation, Proceedings of International Conference on Computer Vision Conference paper
Wong, C.C., Vong, C. M.. Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation, Proceedings of International Conference on Computer Vision[C], 2021, 7098-7107.
Authors:  Wong, C.C.;  Vong, C. M.
Favorite |  | Submit date：2022/08/09
Persistent Homology  Graph Convolution Network  3D Shape Segmentation