Yongyu Wang - RankMe

30 papers A* 1A 3B 1Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dynamic task scheduling in wireless edge computing using deep reinforcement learning with ordinal optimization. EURASIP J. Wirel. Commun. Netw. Yongyu Wang, Siqi Sun
2025	J	`jnl`	Pruning Graphs by Adversarial Robustness Evaluation to Strengthen GNN Defenses. CoRR Yongyu Wang
2025	J	`jnl`	SEA: Spectral Edge Attack on Graph Neural Networks. CoRR Yongyu Wang
2024	J	`jnl`	Accelerating UMAP for Large-Scale Datasets Through Spectral Coarsening. CoRR Yongyu Wang
2024	J	`jnl`	Addressing Noise and Efficiency Issues in Graph-Based Machine Learning Models From the Perspective of Adversarial Attack. CoRR Yongyu Wang
2024	J	`jnl`	Enabling DBSCAN for Very Large-Scale High-Dimensional Spaces. CoRR Yongyu Wang
2024	—	`conf`	Enhancing Graph Topology and Clustering Quality: A Modularity-Guided Approach. ICPR (10) Xiaotian Zhuang, Yongyu Wang, Shiqi Hao, Xiaoyang Wang
2024	J	`jnl`	Improving Graph Neural Network Training Efficiency By Using Top Non-Robust Samples In The Training Set. CoRR Yongyu Wang
2024	J	`jnl`	Improving Graph Neural Networks via Adversarial Robustness Evaluation. CoRR Yongyu Wang
2024	—	`conf`	Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation. ICPR (1) Yongyu Wang, Xiaotian Zhuang
2023	J	`jnl`	A novel deep learning automatic modulation classifier with fusion of multichannel information using GRU. EURASIP J. Wirel. Commun. Netw. Siqi Sun, Yongyu Wang
2023	—	`conf`	Accelerate Support Vector Clustering via Spectral Data Compression. ICONIP (7) Yongyu Wang, Yuxuan Song
2023	J	`jnl`	Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression. CoRR Yuxuan Song, Yongyu Wang
2023	J	`jnl`	Improving Collaborative Filtering Recommendation via Graph Learning. CoRR Yongyu Wang
2023	J	`jnl`	Towards High-Performance Exploratory Data Analysis (EDA) Via Stable Equilibrium Point. CoRR Yuxuan Song, Yongyu Wang
2023	—	`conf`	Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point. ICONIP (4) Yuxuan Song, Yongyu Wang
2022	B	`conf`	Improving Spectral Clustering Using Spectrum-Preserving Node Aggregation. ICPR Yongyu Wang
2022	A	`conf`	Scalable Graph Topology Learning via Spectral Densification. WSDM Yongyu Wang, Zhiqiang Zhao, Zhuo Feng
2022	A	`conf`	Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification. BMVC Yongyu Wang, Zhuo Feng
2021	J	`jnl`	Accelerate 3D Object Processing via Spectral Layout. CoRR Yongyu Wang
2021	J	`jnl`	Improving Spectral Clustering Using Spectrum-Preserving Node Reduction. CoRR Yongyu Wang
2020	A*	`conf`	GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding. ICLR Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng
2020	J	`jnl`	Spectrum-preserving sparsification for visualization of big graphs. Comput. Graph. Martin Imre, Jun Tao, Yongyu Wang, Zhiqiang Zhao, Zhuo Feng, Chaoli Wang
2019	J	`jnl`	GRASPEL: Graph Spectral Learning at Scale. CoRR Yongyu Wang, Zhiqiang Zhao, Zhuo Feng
2019	J	`jnl`	GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding. CoRR Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng
2018	J	`jnl`	Fingerprint-based access to personally controlled health records in emergency situations. Sci. China Inf. Sci. Shaopeng Guan, Yongyu Wang, Jian Shen
2018	J	`jnl`	Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization. CoRR Zhiqiang Zhao, Yongyu Wang, Zhuo Feng
2017	—	`conf`	NUMA-aware design and mapping for pipeline network functions. ICSAI Yongyu Wang
2017	A	`conf`	SAMG: Sparsified graph-theoretic algebraic multigrid for solving large symmetric diagonally dominant (SDD) matrices. ICCAD Zhiqiang Zhao, Yongyu Wang, Zhuo Feng
2017	J	`jnl`	Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification. CoRR Yongyu Wang, Zhuo Feng