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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  
IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering Journal article
Shi, Zhaoyin, Chen, Long, Ding, Weiping, Zhong, Xiaopin, Wu, Zongze, Chen, Guang Yong, Zhang, Chuanbin, Wang, Yingxu, Chen, C. L.P.. IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering[J]. IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54(12), 7055-7968.
Authors:  Shi, Zhaoyin;  Chen, Long;  Ding, Weiping;  Zhong, Xiaopin;  Wu, Zongze; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:9.4/10.3 | Submit date：2024/07/04
Fuzzy Clustering  Graph Clustering  High-dimensional Data  Implicit Model  
Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs Journal article
Yin, Qilin, Lu, Wei, Cao, Xiaochun, Luo, Xiangyang, Zhou, Yicong, Huang, Jiwu. Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs[J]. International Journal of Computer Vision, 2024.
Authors:  Yin, Qilin;  Lu, Wei;  Cao, Xiaochun;  Luo, Xiangyang;  Zhou, Yicong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:11.6/14.5 | Submit date：2024/07/04
Audio-visual Model  Graph Neural Networks  Heterogeneous Graphs  Multimodal Deepfake Classification  
Auto-Learning-GCN: An Ingenious Framework for Skeleton-Based Action Recognition Conference paper
Xin, Wentian, Liu, Yi, Liu, Ruyi, Miao, Qiguang, Shi, Cheng, Pun, Chi Man. Auto-Learning-GCN: An Ingenious Framework for Skeleton-Based Action Recognition[C]:SPRINGER-VERLAG BERLINHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2024, 29-42.
Authors:  Xin, Wentian;  Liu, Yi;  Liu, Ruyi;  Miao, Qiguang;  Shi, Cheng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/05/16
Attention Mechanism  Graph Convolutional Network  Model Optimization  Skeleton-based Action Recognition  
Public Opinion Evolution in Cyberspace: A Case Analysis of Pelosi’s Visit to Taiwan Journal article
Chen,Tao, Zhang,Baoyu, Wang,Xiao, Zhang,Weishan, Hon,Chitin, Di,Wang, Chen,Long, Li,Qiang, Wang,Fei Yue. Public Opinion Evolution in Cyberspace: A Case Analysis of Pelosi’s Visit to Taiwan[J]. IEEE Transactions on Computational Social Systems, 2023, 11(1), 319-329.
Authors:  Chen,Tao;  Zhang,Baoyu;  Wang,Xiao;  Zhang,Weishan;  Hon,Chitin; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:4.5/4.6 | Submit date：2023/08/03
Large-graph Cluster  Pelosi Visiting Taiwan  Public Opinion Analysis  Text Cluster  Topic Model  
Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions Journal article
Yang Wang, Min Li, Hao Dai, Kenneth B. Kent, Kejiang Ye, Chengzhong Xu. Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions[J]. IEEE TRANSACTIONS ON COMPUTERS, 2022, 71(9), 2073-2087.
Authors:  Yang Wang;  Min Li;  Hao Dai;  Kenneth B. Kent;  Kejiang Ye; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.6/3.2 | Submit date：2022/05/13
Deadlock Avoidance  Recursion-tree Model  Resource Constraint  Resource-request Graph  Safety Check  Task Scheduling  
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard Journal article
Wang, Liang, Yu, Zhiwen, Guo, Bin, Yang, Dingqi, Ma, Lianbo, Liu, Zhidan, Xiong, Fei. Data-driven Targeted Advertising Recommendation System for Outdoor Billboard[J]. ACM Transactions on Intelligent Systems and Technology, 2022, 13(2).
Authors:  Wang, Liang;  Yu, Zhiwen;  Guo, Bin;  Yang, Dingqi;  Ma, Lianbo; et al.
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:7.2/8.5 | Submit date：2022/05/31
Graph Model  Influence Spread  Large-scale Optimization  Outdoor Advertising  
Graph-based sparse bayesian broad learning system for semi-supervised learning Journal article
Xu, Lili, Philip Chen, C. L., Han, Ruizhi. Graph-based sparse bayesian broad learning system for semi-supervised learning[J]. INFORMATION SCIENCES, 2022, 597, 193-210.
Authors:  Xu, Lili;  Philip Chen, C. L.;  Han, Ruizhi
Favorite | TC[WOS]:13 TC[Scopus]:14  IF:0/0 | Submit date：2022/05/13
Classification  Fast Marginal Likelihood Maximization  Graph-based Model  Manifold Regularization  Semi-supervised Learning  Sparse Bayesian Broad Learning System  
Improved strategies of relation extraction based on graph convolutional model on tree structure for web information processing Journal article
Yang, Shuo, Guo, Jingzhi. Improved strategies of relation extraction based on graph convolutional model on tree structure for web information processing[J]. Journal of Industrial Information Integration, 2022, 25, 100301.
Authors:  Yang, Shuo;  Guo, Jingzhi
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:10.4/10.5 | Submit date：2022/02/21
Dependency Tree  Graph Convolutional Model  Information Extraction  Joint Model  Relation Extraction  
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting Conference paper
Tian,Kelang, Guo,Jingjie, Ye,Kejiang, Xu,Cheng Zhong. ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting[C], 2020, 714-721.
Authors:  Tian,Kelang;  Guo,Jingjie;  Ye,Kejiang;  Xu,Cheng Zhong
Favorite | TC[WOS]:8 TC[Scopus]:10 | Submit date：2021/03/09
Graph Convolutional Networks  Spatial-temporal Model  Traffic Forecasting