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Cycling topic graph learning for neural topic modeling Journal article
Liu, Yanyan, Gong, Zhiguo. Cycling topic graph learning for neural topic modeling[J]. Knowledge-Based Systems, 2025, 310.
Authors:  Liu, Yanyan;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.2/7.4 | Submit date：2025/01/22
Neural Topic Model  Graph Neural Networks  Wasserstein Autoencoder  Graph Attention Networks  
Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites Journal article
Lu, Yuhuan, Wang, Wei, Bai, Rufan, Zhou, Shengwei, Garg, Lalit, Bashir, Ali Kashif, Jiang, Weiwei, Hu, Xiping. Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites[J]. Information Fusion, 2025, 114, 102682.
Authors:  Lu, Yuhuan;  Wang, Wei;  Bai, Rufan;  Zhou, Shengwei;  Garg, Lalit; et al.
Favorite | TC[WOS]:11 TC[Scopus]:15  IF:14.7/16.1 | Submit date：2025/01/22
Hypergraph Attention Networks  Intelligent Connected Vehicles  Interaction Modeling  Multi-modal Trajectory Prediction  
Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis Journal article
Guo, Xiaojiao, Chen, Xuhang, Wang, Shuqiang, Pun, Chi Man. Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025.
Authors:  Guo, Xiaojiao;  Chen, Xuhang;  Wang, Shuqiang;  Pun, Chi Man
Favorite | TC[Scopus]:0  IF:8.3/7.1 | Submit date：2025/01/22
Underwater Image Restoration  Image Enhancement  Prior Guided Attention  Efficient Transformer  Multi-scales Hybridization  
The Structure-sharing Hypergraph Reasoning Attention Module for CNNs Journal article
Wang, Jingchao, Huang, Guoheng, Yuan, Xiaochen, Zhong, Guo, Lin, Tongxu, Pun, Chi Man, Xie, Fenfang. The Structure-sharing Hypergraph Reasoning Attention Module for CNNs[J]. Expert Systems with Applications, 2025, 259, 125240.
Authors:  Wang, Jingchao;  Huang, Guoheng;  Yuan, Xiaochen;  Zhong, Guo;  Lin, Tongxu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2025/01/22
Attention Mechanism  Hypergraph  Structure-sharing  
Attention-Based Behavioral Cloning for algorithmic trading Journal article
Sun, Qizhou, Xie, Yufan, Si, Yain Whar. Attention-Based Behavioral Cloning for algorithmic trading[J]. Applied Intelligence, 2025, 55(1), 74.
Authors:  Sun, Qizhou;  Xie, Yufan;  Si, Yain Whar
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.9 | Submit date：2025/01/22
Attention Mechanism  Behavior Cloning  Reinforcement Learning  Algorithmic Trading  
Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands Journal article
Sheng Chen, Hao Cheng, Hongcai Zhang, Si Lv, Zhinong Wei, Yuyang Jin. Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands[J]. Applied Energy, 2025, 377(A), 124391.
Authors:  Sheng Chen;  Hao Cheng;  Hongcai Zhang;  Si Lv;  Zhinong Wei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:3  IF:10.1/10.4 | Submit date：2024/09/20
Power-transportation Coordination  Graph Attention Network  Prediction Of Ev Charging Demands  Queuing Theory  
Spatio-temporal attention based collaborative local–global learning for traffic flow prediction Journal article
Chi, Haiyang, Lu, Yuhuan, Xie, Can, Ke, Wei, Chen, Bidong. Spatio-temporal attention based collaborative local–global learning for traffic flow prediction[J]. Engineering Applications of Artificial Intelligence, 2025, 139, 109575.
Authors:  Chi, Haiyang;  Lu, Yuhuan;  Xie, Can;  Ke, Wei;  Chen, Bidong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.4 | Submit date：2025/01/22
Traffic Flow Prediction  Spatio-temporal Correlation  Local–global Spatio-temporal Feature  Graph Convolutional Network  Spatio-temporal Attention  
MixFormer: A Mixed CNN-Transformer Backbone for Medical Image Segmentation Journal article
Liu, Jun, Li, Kunqi, Huang, Chun, Dong, Hua, Song, Yusheng, Li, Rihui. MixFormer: A Mixed CNN-Transformer Backbone for Medical Image Segmentation[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 74, 5001220.
Authors:  Liu, Jun;  Li, Kunqi;  Huang, Chun;  Dong, Hua;  Song, Yusheng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:5.6/5.6 | Submit date：2024/12/05
Medical Image Segmentation (Seg)  Mixed Convolutional Neural Network (Cnn)–transformer Backbone  Mixed Multibranch Dilated Attention (Mmda)  Multi-scale Spatial-aware Fusion (Msaf)  
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]:4 TC[Scopus]:4  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  
Adaptive Pitfall: Exploring the Effectiveness of Adaptation in Skeleton-based Action Recognition Journal article
Miao, Qiguang, Xin, Wentian, Liu, Ruyi, Liu, Yi, Wu, Mengyao, Shi, Cheng, Pun, Chi Man. Adaptive Pitfall: Exploring the Effectiveness of Adaptation in Skeleton-based Action Recognition[J]. IEEE Transactions on Multimedia, 2024, 27, 56-71.
Authors:  Miao, Qiguang;  Xin, Wentian;  Liu, Ruyi;  Liu, Yi;  Wu, Mengyao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.4/8.0 | Submit date：2025/01/13
Skeleton-based Action Recognition  Graph Convolutional Network  Self-attention Method  Lightweight Network