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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  
Module-based graph pooling for graph classification Journal article
Deng, Sucheng, Yang, Geping, Yang, Yiyang, Gong, Zhiguo, Chen, Can, Chen, Xiang, Hao, Zhifeng. Module-based graph pooling for graph classification[J]. Pattern Recognition, 2024, 154, 110606.
Authors:  Deng, Sucheng;  Yang, Geping;  Yang, Yiyang;  Gong, Zhiguo;  Chen, Can; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/06/05
Graph Classification  Graph Neural Network  Graph Pooling  
CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition Conference paper
Liu, Yuxin, Chen, Jinyan, Gao, Zheyan, Li, Shitian. CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Liu, Yuxin;  Chen, Jinyan;  Gao, Zheyan;  Li, Shitian
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Gait Recognition  Graph Convolutional Neural Network  Metric Learning  
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks Conference paper
Duan, Wenying, Fang, Tianxiang, Rao, Hong, He, Xiaoxi. Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks[C], New York, NY, USA:Association for Computing Machinery, 2024, 701-712.
Authors:  Duan, Wenying;  Fang, Tianxiang;  Rao, Hong;  He, Xiaoxi
Favorite | TC[Scopus]:0 | Submit date：2024/09/11
Lottery Ticket Hypothesis  Spatial-temporal Data Mining  Spatial-temporal Graph Neural Network  
FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction Conference paper
Yang, Linghua, Chen, Wantong, He, Xiaoxi, Wei, Shuyue, Xu, Yi, Zhou, Zimu, Tong, Yongxin. FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction[C], New York, NY, USA:Association for Computing Machinery, 2024, 6105–6116.
Authors:  Yang, Linghua;  Chen, Wantong;  He, Xiaoxi;  Wei, Shuyue;  Xu, Yi; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/11
Federated Learning  Traffic Prediction  Spatial-temporal Graph Neural Network  
Predicting Peptide Permeability Across Diverse Barriers: A Systematic Investigation Journal article
Tan, Xiaorong, Liu, Qianhui, Fang, Yanpeng, Zhu, Yingli, Chen, Fei, Zeng, Wenbin, Ouyang, Defang, Dong, Jie. Predicting Peptide Permeability Across Diverse Barriers: A Systematic Investigation[J]. Molecular Pharmaceutics, 2024, 21(8), 4116-4127.
Authors:  Tan, Xiaorong;  Liu, Qianhui;  Fang, Yanpeng;  Zhu, Yingli;  Chen, Fei; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.5/4.6 | Submit date：2024/08/05
Cell Permeability  Drug Delivery  Graph Neural Network  Machine Learning  Peptide  Permeability Prediction  
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  
KENN: 线性结构熵的图核神经网络 Journal article
Xu, Li Xiang, Xu, Wei, Chen, En Hong, Luo, Bin, Tang, Yuan Yan. KENN: 线性结构熵的图核神经网络[J]. Ruan Jian Xue Bao/Journal of Software, 2024, 35(5), 2430-2445.
Authors:  Xu, Li Xiang;  Xu, Wei;  Chen, En Hong;  Luo, Bin;  Tang, Yuan Yan
Favorite | TC[Scopus]:0 | Submit date：2024/07/04
Graph Classification  Graph Kernel  Graph Neural Network (Gnn)  Message Passing Aggregation  Structural Entropy  
Informative Nodes Mining for Class-Imbalanced Representation Learning Journal article
Zhou, Mengting, Gong, Zhiguo. Informative Nodes Mining for Class-Imbalanced Representation Learning[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Class Imbalanced Learning  Costs  Graph Neural Network (Gnn)  Graph Neural Networks  Node Classification  Representation Learning  Social Networking (Online)  Task Analysis  Training  Training Data  
Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection Journal article
Zhang, Yongshan, Li, Yijiang, Wang, Xinxin, Jiang, Xinwei, Zhou, Yicong. Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21, 5507405.
Authors:  Zhang, Yongshan;  Li, Yijiang;  Wang, Xinxin;  Jiang, Xinwei;  Zhou, Yicong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.0/4.4 | Submit date：2024/07/04
Anomaly Detection  Anomaly Detection  Denoising Autoencoder  Detectors  Geoscience And Remote Sensing  Graph Neural Network  Hyperspectral Imagery  Hyperspectral Imaging  Image Edge Detection  Noise Reduction  Training