Jielong Lu

Orcid: 0009-0008-4732-9686

According to our database1, Jielong Lu authored at least 12 papers between 2023 and 2026.

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

Timeline

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Links

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Bibliography

2026
Deep dual contrastive learning for multi-view subspace clustering.
Inf. Sci., 2026

2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors.
CoRR, April, 2025

Dual-channel optimized multi-view learning via information bottleneck.
Knowl. Based Syst., 2025

A Centrality-based Graph Learning Framework.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
Graph neural networks for multi-view learning: a taxonomic review.
Artif. Intell. Rev., November, 2024

Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion.
Inf. Sci., February, 2024

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification.
IEEE Trans. Multim., 2024

Geometric localized graph convolutional network for multi-view semi-supervised classification.
Inf. Sci., 2024

Towards Multi-view Consistent Graph Diffusion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023


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