Yongyu Wang

According to our database, Yongyu Wang authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yongyu Wang

CoRR, 2024

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

Xiaotian Zhuang, Yongyu Wang, Shiqi Hao, Xiaoyang Wang

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

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

Yongyu Wang, 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.

Siqi Sun, Yongyu Wang

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

Improving Collaborative Filtering Recommendation via Graph Learning.

Yongyu Wang

CoRR, 2023

Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression.

Yuxuan Song, Yongyu Wang

CoRR, 2023

Accelerate Support Vector Clustering via Spectral Data Compression.

Yongyu Wang, Yuxuan Song

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

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

Yuxuan Song, Yongyu Wang

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

2022

Scalable Graph Topology Learning via Spectral Densification.

Yongyu Wang, Zhiqiang Zhao, Zhuo Feng

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.

Yongyu Wang

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

Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification.

Yongyu Wang, Zhuo Feng

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

2021

Accelerate 3D Object Processing via Spectral Layout.

Yongyu Wang

CoRR, 2021

Improving Spectral Clustering Using Spectrum-Preserving Node Reduction.

Yongyu Wang

CoRR, 2021

2020

Spectrum-preserving sparsification for visualization of big graphs.

Martin Imre, Jun Tao, Yongyu Wang, Zhiqiang Zhao, Zhuo Feng, Chaoli Wang

Comput. Graph., 2020

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

Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng

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

2019

GRASPEL: Graph Spectral Learning at Scale.

Yongyu Wang, Zhiqiang Zhao, Zhuo Feng

CoRR, 2019

2018

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

Zhiqiang Zhao, Yongyu Wang, Zhuo Feng

CoRR, 2018

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

Shaopeng Guan, Yongyu Wang, Jian Shen

Sci. China Inf. Sci., 2018

2017

NUMA-aware design and mapping for pipeline network functions.

Yongyu Wang

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.

Zhiqiang Zhao, Yongyu Wang, Zhuo Feng

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