Wei Wei
Orcid: 0000-0003-3747-9484Affiliations:
- Beihang University, School of Mathematics and Systems Sciences, Beijing, China
- Peking University, Department of Mathematics, China (PhD 2009)
According to our database1,
Wei Wei
authored at least 31 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2024
Link prediction by continuous spatiotemporal representation via neural differential equations.
Knowl. Based Syst., 2024
2023
Graphical representation and hierarchical decomposition mechanism for vertex-cover solution space.
Appl. Math. Comput., December, 2023
A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding.
Eng. Appl. Artif. Intell., November, 2023
Bidirectional supervision: An effective method to suppress corruption and defection under the third party punishment mechanism of donation games.
Appl. Math. Comput., August, 2023
Representation Learning of Enhanced Graphs Using Random Walk Graph Convolutional Network.
ACM Trans. Intell. Syst. Technol., 2023
Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
CoRR, 2023
2022
Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation.
Pattern Recognit., 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies.
CoRR, 2022
CoRR, 2022
Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process.
CoRR, 2022
Coupling group selection and network reciprocity in social dilemmas through multilayer networks.
Appl. Math. Comput., 2022
2021
Knowl. Based Syst., 2021
Representation learning of graphs using graph convolutional multilayer networks based on motifs.
Neurocomputing, 2021
Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training.
CoRR, 2021
Effects of Dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma.
CoRR, 2021
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network.
CoRR, 2021
2020
Dynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam.
CoRR, 2020
Discriminative Embedding Autoencoder With a Regressor Feedback for Zero-Shot Learning.
IEEE Access, 2020
2019
IEEE Trans. Netw. Serv. Manag., 2019
Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover.
CoRR, 2019
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning.
CoRR, 2019
2018
CoRR, 2018
2017
CoRR, 2017
2015
CoRR, 2015
2014
Statistics and algorithms on the organization and quantitative analysis of minimal vertex covers.
CoRR, 2014
2009
Dynamical characteristics of software trustworthiness and their evolutionary complexity.
Sci. China Ser. F Inf. Sci., 2009
Complexity of software trustworthiness and its dynamical statistical analysis methods.
Sci. China Ser. F Inf. Sci., 2009