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Ruixin Wang - IEEE Xplore Author Profile
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Ruixin Wang

Publications
3
Citations
6
Publications by Year
20182023
Co-Authors:
Show All Co-Authors (17)
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Ruixin Wang

Affiliation

National Key Laboratory for Multimedia Information Processing
School of Computer Science
Peking University, Beijing, China

Publication Topics

Biography

Ruixin Wang is currently working toward the ME degree in software engineering with Peking University. His research interests include network measurements, sketches, and machine learning.(Based on document published on 19 May 2023).
Publications
3
Citations
6
Publications by Year
20182023
Co-Authors:
Show All Co-Authors (17)
Author's Published Works

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OneSketch: A Generic and Accurate Sketch for Data Streams

Zhuochen Fan;Ruixin Wang;Yalun Cai;Ruwen Zhang;Tong Yang;Yuhan Wu;Bin Cui;Steve Uhlig

IEEE Transactions on Knowledge and Data Engineering
Year: 2023 | Volume: 35, Issue: 12 | Journal Article |
Cited by: Papers (4)
In this paper, we propose a generic sketch algorithm capable of achieving more accuracy in the following five tasks: finding top-kk frequent items, finding heavy hitters, per-item frequency estimation, and heavy changes in the time and spatial dimension. The state-of-the-art (SOTA) sketch solution for multiple measurement tasks is ElasticSketch (ES). However, the accuracy of its frequency estima...Show More

OneSketch: A Generic and Accurate Sketch for Data Streams

Zhuochen Fan;Ruixin Wang;Yalun Cai;Ruwen Zhang;Tong Yang;Yuhan Wu;Bin Cui;Steve Uhlig

Year: 2023 | Volume: 35, Issue: 12 | Journal Article |

CocoSketch: High-Performance Sketch-Based Measurement Over Arbitrary Partial Key Query

Ruijie Miao;Yinda Zhang;Zihao Zheng;Ruixin Wang;Ruwen Zhang;Tong Yang;Zaoxing Liu;Junchen Jiang

IEEE/ACM Transactions on Networking
Year: 2023 | Volume: 31, Issue: 6 | Journal Article |
Cited by: Papers (2)
Sketch-based measurement has emerged as a promising solutions due to its high accuracy and resource efficiency. Prior sketches focus on measuring single flow keys and cannot support measurement on multiple keys. This work takes a significant step towards supporting arbitrary partial key queries, which aims to provide information for any key in the predefined range of possible flow keys. The design...Show More

CocoSketch: High-Performance Sketch-Based Measurement Over Arbitrary Partial Key Query

Ruijie Miao;Yinda Zhang;Zihao Zheng;Ruixin Wang;Ruwen Zhang;Tong Yang;Zaoxing Liu;Junchen Jiang

Year: 2023 | Volume: 31, Issue: 6 | Journal Article |

Attributed Network Embedding with Data Distribution Adaptation

Jiaxing Chen;Yanghui Rao;Runxuan Chen;Qi Dai;Xiaofeng Li;Ruixin Wang

2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC)
Year: 2018 | Conference Paper |
Network embedding aims to learn the low-dimensional representations of nodes in networks and preserve the features of networks simultaneously. In this paper, we propose a novel approach of network embedding, named Attributed Network Embedding with Data Distribution Adaptation (ANEDDA). In our model, we consider network structure and node attributes as two kinds of data which have different probabi...Show More

Attributed Network Embedding with Data Distribution Adaptation

Jiaxing Chen;Yanghui Rao;Runxuan Chen;Qi Dai;Xiaofeng Li;Ruixin Wang

Year: 2018 | Conference Paper |

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