Wei Yu
Orcid: 0000-0003-3459-3695Affiliations:
- Tianjin University, School of Computer Science and Technology, China
According to our database1,
Wei Yu authored at least 41 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Int. J. Data Sci. Anal., June, 2026
MSTNets: a short-term spatiotemporal prediction framework based on dynamic and multi-graph convolution networks.
Clust. Comput., June, 2026
ST-BayesianNet: Spatiotemporal Bayesian Convolution Neural Networks for Multivariate Time Series Forecasting.
IEEE Trans. Intell. Veh., February, 2026
UFG-AFLNET: A Greybox Fuzzing Framework With Fine-Grained State Modeling and Gradient-Guided Mutation for Network Protocols.
IEEE Trans. Netw. Serv. Manag., 2026
Sensitivity analysis to a widest-interval solution for a system of max-min fuzzy relational inequalities.
Fuzzy Sets Syst., 2026
Learning heterogeneous network representations for relation prediction via characterizing hierarchical and anisotropic generation process.
Expert Syst. Appl., 2026
Semantic enhancement in graph contrastive learning by combining topology and features.
Appl. Soft Comput., 2026
2025
Gate-Conv SVDD: An Anomaly Detection Framework for Fault Inspection of Photovoltaic Panels Using UAVs.
IEEE Internet Things J., October, 2025
SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction.
Knowl. Inf. Syst., February, 2025
Deep fusion of feature and topology via neural attention for multilayer community detection.
Knowl. Based Syst., 2025
Research on a Multilayer Network Community Detection Algorithm Based on Local Information Expansion.
Big Data Min. Anal., 2025
Link prediction in bipartite networks via deep autoencoder-like nonnegative matrix factorization.
Appl. Soft Comput., 2025
GCVPN: A Graph Convolutional Visual Prior-Transform Network for Actual Occluded Image Recognition.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
VGCas: distinguishing the cascade structure and the global structure in popularity prediction.
Soc. Netw. Anal. Min., December, 2024
IEEE Trans. Comput. Soc. Syst., June, 2024
TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting.
Inf. Fusion, May, 2024
Link prediction in bipartite networks via effective integration of explicit and implicit relations.
Neurocomputing, January, 2024
2023
Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction.
Pattern Recognit., December, 2023
Local node feature modeling for edge computing based on network embedding in dynamic networks.
J. Parallel Distributed Comput., January, 2023
2022
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks.
Knowl. Based Syst., 2022
Cold-Start Link Prediction via Weighted Symmetric Nonnegative Matrix Factorization with Graph Regularization.
Comput. Syst. Sci. Eng., 2022
Heterogeneous Information Network Representation Learning Incorporating Community Structure.
IEEE Access, 2022
2021
Higher-Order Multiple-Feature-based Community Evolution Model with Potential Applications in Criminal Network Investigation.
Future Gener. Comput. Syst., 2021
CoRR, 2021
Modeling Community Evolution Characteristics of Dynamic Networks with Evolutionary Bayesian Nonnegative Matrix Factorization.
Complex., 2021
2020
Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization.
IEEE Access, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks.
Knowl. Based Syst., 2019
Multi-layer network community detection model based on attributes and social interaction intensity.
Comput. Electr. Eng., 2019
Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis.
IEEE Access, 2019
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Boosting Temporal Community Detection via Modeling Community Evolution Characteristics.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
2018
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks.
Neurocomputing, 2018
IEEE Access, 2018
2017
Mob. Inf. Syst., 2017
Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction.
Knowl. Based Syst., 2017
An Efficient Critical Incident Propagation Model for Social Networks Based on Trust Factor.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017