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researcher

Xin Wang

4 papers hereh-index 272.7k citations87 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.IT1
  • cs.NI1
  • cs.OS1
same name
  • Xin Wang — 85 papers, h 39
  • Xin Wang — 56 papers, h 29
  • Xin Wang — 50 papers, h 28
  • Xin Wang — 35 papers, h 14
  • Xin Wang — 33 papers, h 5
  • Xin Wang — 31 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152019
most citedRVH: Range-Vector Hash for Fast Online Packet Classification

5 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.NI2019★ 5 cited

RVH: Range-Vector Hash for Fast Online Packet Classification

Tong Shen, Gaogang Xie, Xin Wang +4

Packet classification according to multi-field ruleset is a key component for many network applications. Emerging software defined networking and cloud computing need to update the…

cs.AI2019

Latent Part-of-Speech Sequences for Neural Machine Translation

Xuewen Yang, Yingru Liu, Dongliang Xie +2

Learning target side syntactic structure has been shown to improve Neural Machine Translation (NMT). However, incorporating syntax through latent variables introduces additional co…

cs.OS2016

Virtualizing System and Ordinary Services in Windows-based OS-Level Virtual Machines

Zhiyong Shan, Tzi-cker Chiueh, Xin Wang

OS-level virtualization incurs smaller start-up and run-time overhead than HAL-based virtualization and thus forms an important building block for developing fault-tolerant and int…

cs.IT2015★ 5 cited

Pushing towards the Limit of Sampling Rate: Adaptive Chasing Sampling

Ying Li, Kun Xie, Xin Wang

Measurement samples are often taken in various monitoring applications. To reduce the sensing cost, it is desirable to achieve better sensing quality while using fewer samples. Com…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.