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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:  ; 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  
Boosting Image Restoration via Priors from Pre-Trained Models Conference paper
Xu, Xiaogang, Kong, Shu, Hu, Tao, Liu, Zhe, Bao, Hujun. Boosting Image Restoration via Priors from Pre-Trained Models[C]:IEEE Computer Society, 2024, 2900-2909.
Authors:  Xu, Xiaogang;  Kong, Shu;  Hu, Tao;  Liu, Zhe;  Bao, Hujun
Favorite | TC[Scopus]:2 | Submit date：2024/11/05
Computer Vision  Shape  Computational Modeling  Noise Reduction  Training Data  Boosting  Data Models  Pre-trained Models  Image Restoration  Spatial-varying Enhancement  Channel-spatial Attention  
Lightweight Context-Aware Network Using Partial-Channel Transformation for Real-Time Semantic Segmentation Journal article
Shi, Min, Lin, Shaowen, Yi, Qingming, Weng, Jian, Luo, Aiwen, Zhou, Yicong. Lightweight Context-Aware Network Using Partial-Channel Transformation for Real-Time Semantic Segmentation[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(7), 7401-7416.
Authors:  Shi, Min;  Lin, Shaowen;  Yi, Qingming;  Weng, Jian;  Luo, Aiwen; et al.
Favorite | TC[WOS]:17 TC[Scopus]:21  IF:7.9/8.3 | Submit date：2024/05/16
Computational Modeling  Context-aware Aggregation  Convolution  Feature Extraction  Partial-channel Transformation  Real-time Semantic Segmentation  Real-time Systems  Reverse Attention  Semantic Segmentation  Semantics  Spatial Attention  Stacking  
An Enhanced GAN for Image Generation Journal article
Tian, Chunwei, Gao, Haoyang, Wang, Pengwei, Zhang, Bob. An Enhanced GAN for Image Generation[J]. Computers, Materials and Continua, 2024, 80(1), 105-118.
Authors:  Tian, Chunwei;  Gao, Haoyang;  Wang, Pengwei;  Zhang, Bob
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.0/2.0 | Submit date：2024/09/03
Generative Adversarial Networks  Image Generation  Mixed Loss  Spatial Attention  
A graph-attention based spatial-temporal learning framework for tourism demand forecasting Journal article
Zhou, Binggui, Dong, Yunxuan, Yang, Guanghua, Hou, Fen, Hu, Zheng, Xu, Suxiu, Ma, Shaodan. A graph-attention based spatial-temporal learning framework for tourism demand forecasting[J]. Knowledge-Based Systems, 2023, 263, 110275.
Authors:  Zhou, Binggui;  Dong, Yunxuan;  Yang, Guanghua;  Hou, Fen;  Hu, Zheng; et al.
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:7.2/7.4 | Submit date：2023/04/03
Tourism Demand Forecasting  Dynamic Spatial Connections  Spatial-temporal Learning  Graph Neural Network  Attention Mechanism  
Detection of Deepfake Videos Using Long-Distance Attention Journal article
Wei Lu, Lingyi Liu, Bolin Zhang, Junwei Luo, Xianfeng Zhao, Yicong Zhou, Jiwu Huang. Detection of Deepfake Videos Using Long-Distance Attention[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 35(7), 9366-9379.
Authors:  Wei Lu;  Lingyi Liu;  Bolin Zhang;  Junwei Luo;  Xianfeng Zhao; et al.
Favorite | TC[WOS]:4 TC[Scopus]:11  IF:10.2/10.4 | Submit date：2023/08/03
Attention Mechanism  Deepfake Detection  Deepfakes  Face Manipulation  Faces  Forgery  Semantics  Spatial And Temporal Artifacts  Task Analysis  Time-domain Analysis  Transformers  
Parallel Self-Attention and Spatial-Attention Fusion for Human Pose Estimation and Running Movement Recognition Journal article
Wu,Qingtian, Zhang,Yu, Zhang,Liming, Yu,Haoyong. Parallel Self-Attention and Spatial-Attention Fusion for Human Pose Estimation and Running Movement Recognition[J]. IEEE Transactions on Cognitive and Developmental Systems, 2023, 16(1), 358-368.
Authors:  Wu,Qingtian;  Zhang,Yu;  Zhang,Liming;  Yu,Haoyong
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:5.0/4.6 | Submit date：2023/08/03
Convolutional Neural Networks  Feature Extraction  Feature Fusion  Human Pose Estimation  Pose Estimation  Running Recognition  Self-attention  Semantics  Spatial-attention  Task Analysis  Transformers  Visualization  
Coarse-to-fine spatial-channel-boundary attention network for image copy-move forgery detection Journal article
Zhong, Jun Liu, Yang, Ji Xiang, Gan, Yan Fen, Huang, Lian, Zeng, Hua. Coarse-to-fine spatial-channel-boundary attention network for image copy-move forgery detection[J]. SOFT COMPUTING, 2022, 26(21), 11461-11478.
Authors:  Zhong, Jun Liu;  Yang, Ji Xiang;  Gan, Yan Fen;  Huang, Lian;  Zeng, Hua
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:3.1/3.2 | Submit date：2022/12/01
Coarse-to-fine  Copy-move Forgery Detection  Spatial-channel-boundary Attention Network  
A multi-mode traffic flow prediction method with clustering based attention convolution LSTM Journal article
Huang, Xiaohui, Ye, Yuming, Wang, Cheng, Yang, Xiaofei, Xiong, Liyan. A multi-mode traffic flow prediction method with clustering based attention convolution LSTM[J]. Applied Intelligence, 2022, 52(13), 14773-14786.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Wang, Cheng;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:3 TC[Scopus]:10  IF:3.4/3.9 | Submit date：2022/05/13
Attention Mechanism  Encoder-decoder  Multi-mode  Spatial-temporal Data  Traffic Flow Prediction  
DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks Journal article
Lin, Yi, Fan, Fei, Zhang, Jianwei, Zhou, Jizhe, Liao, Peixi, Chen, Hu, Deng, Zhenhua, Zhang, Yi. DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(12), 9700-9712.
Authors:  Lin, Yi;  Fan, Fei;  Zhang, Jianwei;  Zhou, Jizhe;  Liao, Peixi; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2024/01/02
Spatial And Channel Fusion Attention  Dental-based Human Identification (Dhi)  Generative Adversarial Network (Gan)  Semisupervised Training  Small Sample