Chaolong Ying

Orcid: 0000-0002-8555-8817

According to our database¹, Chaolong Ying authored at least 11 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Neural Graduated Assignment for Maximum Common Edge Subgraphs.

[BibT_eX]

[DOI]

CoRR, May, 2025

Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Graph Learning with Distributional Edge Layouts.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

NeuroLifting: Neural Inference on Markov Random Fields at Scale.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP.

[BibT_eX]

[DOI]

CoRR, 2024

Do spectral cues matter in contrast-based graph self-supervised learning?

[BibT_eX]

[DOI]

CoRR, 2024

Graph Learning with Distributional Edge Layouts.

[BibT_eX]

[DOI]

Xinjian Zhao

Chaolong Ying

Tianshu Yu

CoRR, 2024

Boosting Graph Pooling with Persistent Homology.

[BibT_eX]

[DOI]

Chaolong Ying

Xinjian Zhao

Tianshu Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., April, 2023

Molecular Conformation Generation via Shifting Scores.

[BibT_eX]

[DOI]

CoRR, 2023

2021

Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Chaolong Ying

Timeline

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Bibliography

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