Jitao Zhao

Orcid: 0000-0002-3909-1718

According to our database1, Jitao Zhao authored at least 11 papers between 2023 and 2025.

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Bibliography

2025
Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships.
IEEE Trans. Knowl. Data Eng., June, 2025

Graph contrastive learning with multiple information fusion.
Expert Syst. Appl., 2025

Str-GCL: Structural Commonsense Driven Graph Contrastive Learning.
Proceedings of the ACM on Web Conference 2025, 2025

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
LBCNet: A lightweight bilateral cascaded feature fusion network for real-time semantic segmentation.
J. Supercomput., April, 2024

A multi-stage feature fusion defogging network based on the attention mechanism.
J. Supercomput., March, 2024

GA-GGD: Improving semantic discriminability in graph contrastive learning via Generative Adversarial Network.
Inf. Fusion, 2024

FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Contrastive Learning Meets Homophily: Two Birds with One Stone.
Proceedings of the International Conference on Machine Learning, 2023


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