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D-Index & Metrics

Computer Science

D-Index
56
Citations
10940
World Ranking
4122
National Ranking
551

Overview

Xiaowen Chu is a researcher affiliated with Hong Kong Baptist University in China. Their academic work spans several key fields with a primary emphasis on Computer Science and Engineering, including notable contributions in Artificial Intelligence, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The scientist's research topics cover a broad range of advanced and specialized areas. These include:

  • Privacy-Preserving Technologies in Data
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Stochastic Gradient Optimization Techniques
  • Natural Language Processing Techniques
  • Advanced Data Storage Technologies
  • Ferroelectric and Negative Capacitance Devices

Xiaowen Chu has published extensively, with a total of 230 works in Computer Science and 71 in Engineering. Among the notable recent papers are:

  • AutoML: A survey of the state-of-the-art, 2020, Knowledge-Based Systems
  • VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems, 2021, IEEE Transactions on Network Science and Engineering
  • GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication, 2022, IEEE Transactions on Parallel and Distributed Systems
  • A Survey of Deep Learning Techniques for Neural Machine Translation, 2020, arXiv (Cornell University)
  • Communication-Efficient Distributed Deep Learning: A Comprehensive Survey, 2020, arXiv (Cornell University)

The researcher has frequent coauthors, among whom the most common collaborators are:

  • Shaohuai Shi
  • Zhenheng Tang
  • Qiang Wang
  • Kaiyong Zhao
  • Meixin Zhu

Xiaowen Chu's work appears regularly in various publication venues. The most frequent include:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Network
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal

The researcher is also credited with contributing to academic literature through books. One such publication is titled Quality, Reliability, Security and Robustness in Heterogeneous Systems, published in 2020 by the Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Best Publications

  • AutoML: A survey of the state-of-the-art

    Xin He;Kaiyong Zhao;Xiaowen Chu

  • Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions

    Albert Y S Lam;Yiu Wing Leung;Xiaowen Chu

  • Benchmarking State-of-the-Art Deep Learning Software Tools

    Shaohuai Shi;Qiang Wang;Pengfei Xu;Xiaowen Chu

  • Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes.

    Xianyan Jia;Shutao Song;Wei He;Yangzihao Wang

  • SOAP3: ultra-fast GPU-based parallel alignment tool for short reads.

    Chi-Man Liu;Thomas K. F. Wong;Edward Wu;Ruibang Luo

  • Speeding up k-Means algorithm by GPUs

    You Li;Kaiyong Zhao;Xiaowen Chu;Jiming Liu

  • Dissecting GPU Memory Hierarchy Through Microbenchmarking

    Xinxin Mei;Xiaowen Chu

  • Deep learning identifies accurate burst locations in water distribution networks.

    Xiao Zhou;Zhenheng Tang;Weirong Xu;Fanlin Meng

  • Jump-Stay Rendezvous Algorithm for Cognitive Radio Networks

    Hai Liu;Zhiyong Lin;Xiaowen Chu;Yiu-Wing Leung

  • FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

    Rongfei Zeng;Shixun Zhang;Jiaqi Wang;Xiaowen Chu

  • Jump-stay based channel-hopping algorithm with guaranteed rendezvous for cognitive radio networks

    Unknown

  • Wavelength converter placement under different RWA algorithms in wavelength-routed all-optical networks

    Xiaowen Chu;Bo Li;I. Chlamtac

  • VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems

    Zhe Peng;Jianliang Xu;Xiaowen Chu;Shang Gao

  • Autonomous-Vehicle Public Transportation System: Scheduling and Admission Control

    Albert Y. S. Lam;Yiu-Wing Leung;Xiaowen Chu

  • A dynamic RWA algorithm in a wavelength-routed all-optical network with wavelength converters

    Xiaowen Chu;Bo Li;Zhensheng Zhang

  • Dynamic routing and wavelength assignment in the presence of wavelength conversion for all-optical networks

    Xiaowen Chu;Bo Li

  • Enhanced Jump-Stay Rendezvous Algorithm for Cognitive Radio Networks

    Zhiyong Lin;Hai Liu;Xiaowen Chu;Yiu-Wing Leung

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

    Shaohuai Shi;Qiang Wang;Kaiyong Zhao;Zhenheng Tang

  • Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction

    Xiangzhen Kong;Chuang Lin;Yixin Jiang;Wei Yan

  • Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

    Shaohuai Shi;Qiang Wang;Xiaowen Chu

  • Reliable and Energy-Efficient Routing for Static Wireless Ad Hoc Networks with Unreliable Links

    Xiang-Yang Li;Yu Wang;Haiming Chen;Xiaowen Chu

  • Ring-Walk Based Channel-Hopping Algorithms with Guaranteed Rendezvous for Cognitive Radio Networks

    Hai Liu;Zhiyong Lin;Xiaowen Chu;Yiu-Wing Leung

Frequent Co-Authors

Chuang Lin
Chuang Lin Tsinghua University
Jiangchuan Liu
Jiangchuan Liu Simon Fraser University
Zongpeng Li
Zongpeng Li Tsinghua University
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Geyong Min
Geyong Min University of Exeter
Jianliang Xu
Jianliang Xu Hong Kong Baptist University
Albert Y. S. Lam
Albert Y. S. Lam University of Hong Kong
Fengyuan Ren
Fengyuan Ren Tsinghua University
Johan Pouwelse
Johan Pouwelse Delft University of Technology
Dick Epema
Dick Epema Delft University of Technology

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