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Yongyu Wang
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2020 – today
- 2024
- [c10]Xiaotian Zhuang, Yongyu Wang, Shiqi Hao, Xiaoyang Wang:
Enhancing Graph Topology and Clustering Quality: A Modularity-Guided Approach. ICPR (10) 2024: 131-142 - [c9]Yongyu Wang, Xiaotian Zhuang:
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation. ICPR (1) 2024: 442-452 - [i14]Yongyu Wang:
Addressing Noise and Efficiency Issues in Graph-Based Machine Learning Models From the Perspective of Adversarial Attack. CoRR abs/2401.15615 (2024) - [i13]Yongyu Wang:
Enabling DBSCAN for Very Large-Scale High-Dimensional Spaces. CoRR abs/2411.11421 (2024) - [i12]Yongyu Wang:
Accelerating UMAP for Large-Scale Datasets Through Spectral Coarsening. CoRR abs/2411.12331 (2024) - [i11]Yongyu Wang:
Improving Graph Neural Networks via Adversarial Robustness Evaluation. CoRR abs/2412.10850 (2024) - [i10]Yongyu Wang:
Improving Graph Neural Network Training Efficiency By Using Top Non-Robust Samples In The Training Set. CoRR abs/2412.14738 (2024) - 2023
- [j3]Siqi Sun, Yongyu Wang
:
A novel deep learning automatic modulation classifier with fusion of multichannel information using GRU. EURASIP J. Wirel. Commun. Netw. 2023(1): 66 (2023) - [c8]Yongyu Wang
Accelerate Support Vector Clustering via Spectral Data Compression. ICONIP (7) 2023: 88-97 - [c7]Yuxuan Song
Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point. ICONIP (4) 2023: 483-492 - [i9]Yuxuan Song, Yongyu Wang:
Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression. CoRR abs/2304.09868 (2023) - [i8]Yuxuan Song, Yongyu Wang:
Towards High-Performance Exploratory Data Analysis (EDA) Via Stable Equilibrium Point. CoRR abs/2306.04425 (2023) - [i7]Yongyu Wang:
Improving Collaborative Filtering Recommendation via Graph Learning. CoRR abs/2311.03316 (2023) - 2022
- [c6]Yongyu Wang, Zhuo Feng:
Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification. BMVC 2022: 307 - [c5]Yongyu Wang:
Improving Spectral Clustering Using Spectrum-Preserving Node Aggregation. ICPR 2022: 3063-3068 - [c4]Yongyu Wang, Zhiqiang Zhao, Zhuo Feng:
Scalable Graph Topology Learning via Spectral Densification. WSDM 2022: 1099-1108 - 2021
- [i6]Yongyu Wang:
Improving Spectral Clustering Using Spectrum-Preserving Node Reduction. CoRR abs/2110.12328 (2021) - [i5]Yongyu Wang:
Accelerate 3D Object Processing via Spectral Layout. CoRR abs/2110.12621 (2021) - 2020
- [j2]Martin Imre, Jun Tao, Yongyu Wang, Zhiqiang Zhao, Zhuo Feng, Chaoli Wang:
Spectrum-preserving sparsification for visualization of big graphs. Comput. Graph. 87: 89-102 (2020) - [c3]Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng:
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding. ICLR 2020
2010 – 2019
- 2019
- [i4]Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng:
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding. CoRR abs/1910.02370 (2019) - [i3]Yongyu Wang, Zhiqiang Zhao, Zhuo Feng:
GRASPEL: Graph Spectral Learning at Scale. CoRR abs/1911.10373 (2019) - 2018
- [j1]Shaopeng Guan
Fingerprint-based access to personally controlled health records in emergency situations. Sci. China Inf. Sci. 61(5): 059103:1-059103:3 (2018) - [i2]Zhiqiang Zhao, Yongyu Wang, Zhuo Feng:
Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization. CoRR abs/1812.08942 (2018) - 2017
- [c2]Zhiqiang Zhao, Yongyu Wang, Zhuo Feng:
SAMG: Sparsified graph-theoretic algebraic multigrid for solving large symmetric diagonally dominant (SDD) matrices. ICCAD 2017: 601-606 - [c1]Yongyu Wang:
NUMA-aware design and mapping for pipeline network functions. ICSAI 2017: 1049-1054 - [i1]Yongyu Wang, Zhuo Feng:
Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification. CoRR abs/1710.04584 (2017)
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