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Xiaowen Chu

Hong Kong Baptist University

21 papers hereh-index 446.7k citations191 works total

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

author position
  • middle author3
  • last author17

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.DC11
  • cs.NI2
  • eess.SY2
  • cs.AR1
  • cs.CR1
  • cs.CV1
affiliations
  • Hong Kong Baptist University
Homepage
same name
  • Xiaowen Chu — 56 papers, h 17
  • Xiaowen Chu — 13 papers, h 7
  • Xiaowen Chu — 7 papers, h 5
  • Xiaowen Chu — 6 papers, h 4
  • Xiaowen Chu — 6 papers, h 4
  • Xiaowen Chu — 3 papers

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
20132023
most citedElectric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions

433 citations · 1.2k across the 21 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CR2019★ 15 cited

Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools

Canhui Wang, Xiaowen Chu, Qin Yang

Mining pools, the main components of the Bitcoin network, dominate the computing resources and play essential roles in network security and performance aspects. Although many exist…

cs.DC2019★ 2 cited

GPU Accelerated Keccak (SHA3) Algorithm

Canhui Wang, Xiaowen Chu

Hash functions like SHA-1 or MD5 are one of the most important cryptographic primitives, especially in the field of information integrity. Considering the fact that increasing meth…

cs.DC2019★ 5 cited

GPU Accelerated AES Algorithm

Canhui Wang, Xiaowen Chu

It has been widely accepted that Graphics Processing Units (GPU) is one of promising schemes for encryption acceleration, in particular, the support of complex mathematical calcula…

cs.DC2019★ 9 cited

A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks

Shaohuai Shi, Qiang Wang, Kaiyong Zhao +4

Distributed synchronous stochastic gradient descent (S-SGD) has been widely used in training large-scale deep neural networks (DNNs), but it typically requires very high communicat…

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