Laishui Lv

Orcid: 0000-0003-1742-9586

According to our database1, Laishui Lv authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images.
Netw. Model. Anal. Health Informatics Bioinform., December, 2024

A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks.
IEEE Trans. Comput. Soc. Syst., April, 2024

An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank.
Expert Syst. Appl., March, 2024

2023
Deep Autoencoder-like non-negative matrix factorization with graph regularized for link prediction in dynamic networks.
Appl. Soft Comput., November, 2023

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification.
Knowl. Based Syst., April, 2023

Community Detection in Multilayer Networks Via Semi-Supervised Joint Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Netw. Sci. Eng., 2023

An efficient and secure data collection scheme for predictive maintenance of vehicles.
Ad Hoc Networks, 2023

2022
Dual-Channel and Hierarchical Graph Convolutional Networks for document-level relation extraction.
Expert Syst. Appl., 2022

Joint extraction of entities and overlapping relations by improved graph convolutional networks.
Appl. Intell., 2022

2021
HITS centrality based on inter-layer similarity for multilayer temporal networks.
Neurocomputing, 2021

Eigenvector-based centralities for multilayer temporal networks under the framework of tensor computation.
Expert Syst. Appl., 2021

2020
Multi-Dimensional HITS Based on Random Walks for Multilayer Temporal Networks.
J. Comput., 2020

2019
Eigenvector Centrality Measure Based on Node Similarity for Multilayer and Temporal Networks.
IEEE Access, 2019


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