Yongyu Wang

Orcid: 0009-0006-0705-752X

According to our database1, Yongyu Wang authored at least 18 papers between 2017 and 2024.

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

2024
Addressing Noise and Efficiency Issues in Graph-Based Machine Learning Models From the Perspective of Adversarial Attack.
CoRR, 2024

2023
A novel deep learning automatic modulation classifier with fusion of multichannel information using GRU.
EURASIP J. Wirel. Commun. Netw., December, 2023

Improving Collaborative Filtering Recommendation via Graph Learning.
CoRR, 2023

Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression.
CoRR, 2023

Accelerate Support Vector Clustering via Spectral Data Compression.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Scalable Graph Topology Learning via Spectral Densification.
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.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Accelerate 3D Object Processing via Spectral Layout.
CoRR, 2021

Improving Spectral Clustering Using Spectrum-Preserving Node Reduction.
CoRR, 2021

2020
Spectrum-preserving sparsification for visualization of big graphs.
Comput. Graph., 2020

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
GRASPEL: Graph Spectral Learning at Scale.
CoRR, 2019

2018
Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization.
CoRR, 2018

Fingerprint-based access to personally controlled health records in emergency situations.
Sci. China Inf. Sci., 2018

2017
NUMA-aware design and mapping for pipeline network functions.
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.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017


  Loading...