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Yongyu Wang

Orcid: 0000-0003-0951-529X

According to our database¹, Yongyu Wang authored at least 29 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Spectral structural distortion reveals redundant neurons in neural networks.

[DOI]

CoRR, May, 2026

A Real-Time Detection Method of Spark Discharge in High-Voltage Switchgear Based on Improved YOLOv10 and Multi-Scale Feature Fusion.

[DOI]

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IEEE Access, 2026

2025

Dynamic task scheduling in wireless edge computing using deep reinforcement learning with ordinal optimization.

[DOI]

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EURASIP J. Wirel. Commun. Netw., December, 2025

Pruning Graphs by Adversarial Robustness Evaluation to Strengthen GNN Defenses.

[DOI]

CoRR, December, 2025

SEA: Spectral Edge Attack on Graph Neural Networks.

[DOI]

CoRR, December, 2025

2024

Improving Graph Neural Network Training Efficiency By Using Top Non-Robust Samples In The Training Set.

[DOI]

CoRR, 2024

Improving Graph Neural Networks via Adversarial Robustness Evaluation.

[DOI]

CoRR, 2024

Accelerating UMAP for Large-Scale Datasets Through Spectral Coarsening.

[DOI]

CoRR, 2024

Enabling DBSCAN for Very Large-Scale High-Dimensional Spaces.

[DOI]

CoRR, 2024

Addressing Noise and Efficiency Issues in Graph-Based Machine Learning Models From the Perspective of Adversarial Attack.

[DOI]

CoRR, 2024

Enhancing Graph Topology and Clustering Quality: A Modularity-Guided Approach.

[DOI]

Xiaotian Zhuang

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Proceedings of the Pattern Recognition - 27th International Conference, 2024

Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation.

[DOI]

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Xiaotian Zhuang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

A novel deep learning automatic modulation classifier with fusion of multichannel information using GRU.

[DOI]

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EURASIP J. Wirel. Commun. Netw., December, 2023

Improving Collaborative Filtering Recommendation via Graph Learning.

[DOI]

CoRR, 2023

Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression.

[DOI]

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CoRR, 2023

Accelerate Support Vector Clustering via Spectral Data Compression.

[DOI]

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Proceedings of the Neural Information Processing - 30th International Conference, 2023

Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point.

[DOI]

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Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Scalable Graph Topology Learning via Spectral Densification.

[DOI]

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Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Improving Spectral Clustering Using Spectrum-Preserving Node Aggregation.

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification.

[DOI]

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Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Accelerate 3D Object Processing via Spectral Layout.

[DOI]

CoRR, 2021

Improving Spectral Clustering Using Spectrum-Preserving Node Reduction.

[DOI]

CoRR, 2021

2020

Spectrum-preserving sparsification for visualization of big graphs.

[DOI]

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Comput. Graph., 2020

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding.

[DOI]

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Proceedings of the 8th International Conference on Learning Representations, 2020

2019

GRASPEL: Graph Spectral Learning at Scale.

[DOI]

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CoRR, 2019

2018

Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization.

[DOI]

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CoRR, 2018

Fingerprint-based access to personally controlled health records in emergency situations.

[DOI]

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Sci. China Inf. Sci., 2018

2017

NUMA-aware design and mapping for pipeline network functions.

[DOI]

Proceedings of the 4th International Conference on Systems and Informatics, 2017

SAMG: Sparsified graph-theoretic algebraic multigrid for solving large symmetric diagonally dominant (SDD) matrices.

[DOI]

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Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

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