World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
96
Citations
35332
World Ranking
441
National Ranking
27

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Xiaohui Liu is affiliated with Brunel University London in the United Kingdom. Their research output spans a diverse range of topics primarily within the fields of Computer Science and Engineering.

The main fields of study covered by Xiaohui Liu include:

  • Computer Science
  • Engineering

Their work further specializes in several subfields of study, notably:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Statistics and Probability
  • Mechanical Engineering

Xiaohui Liu's main research topics encompass:

  • Fault Detection and Control Systems
  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Metaheuristic Optimization Algorithms Research
  • Advanced Neural Network Applications
  • Evolutionary Algorithms and Applications
  • Domain Adaptation and Few-Shot Learning

Frequent co-authors in Xiaohui Liu's collaborations include:

  • Zidong Wang
  • Weibo Liu
  • Rui Yang
  • Stanislao Lauria
  • Alina Miron

Common venues where Xiaohui Liu has published their work are:

  • Neurocomputing
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • International Journal of Machine Learning and Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems

Recent scientific papers by Xiaohui Liu include:

  • "A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection," 2022, IEEE Transactions on Instrumentation and Measurement
  • "A review on transfer learning in EEG signal analysis," 2020, Neurocomputing
  • "A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm," 2020, IEEE Transactions on Cybernetics
  • "Communication-protocol-based analysis and synthesis of networked systems: progress, prospects and challenges," 2021, International Journal of Systems Science
  • "An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples," 2024, Neurocomputing

Best Publications

  • A survey of deep neural network architectures and their applications

    Weibo Liu;Zidong Wang;Xiaohui Liu;Nianyin Zeng

  • A Grid-Based Evolutionary Algorithm for Many-Objective Optimization

    Shengxiang Yang;Miqing Li;Xiaohui Liu;Jinhua Zheng

  • The Role of Text Pre-processing in Sentiment Analysis

    Emma Haddi;Xiaohui Liu;Yong Shi

  • Global exponential stability of generalized recurrent neural networks with discrete and distributed delays

    Yurong Liu;Zidong Wang;Xiaohui Liu

  • Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization

    Miqing Li;Shengxiang Yang;Xiaohui Liu

  • Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements

    Zidong Wang;Fuwen Yang;D.W.C. Ho;Xiaohui Liu

  • Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays

    Yurong Liu;Zidong Wang;Jinling Liang;Xiaohui Liu

  • Brief paper: H∞ filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities

    Zidong Wang;Yurong Liu;Xiaohui Liu

  • Robust $H_{\infty}$ Control for Networked Systems With Random Packet Losses

    Zidong Wang;Fuwen Yang;D.W.C. Ho;Xiaohui Liu

  • On global asymptotic stability of neural networks with discrete and distributed delays

    Zidong Wang;Yurong Liu;Xiaohui Liu

  • Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays

    Zidong Wang;Yurong Liu;Maozhen Li;Xiaohui Liu

  • Robust H∞ control for a class of nonlinear discrete time-delay stochastic systems with missing measurements

    Zidong Wang;Daniel W. C. Ho;Yurong Liu;Xiaohui Liu

  • Evolutionary Multi-Objective Workflow Scheduling in Cloud

    Zhaomeng Zhu;Gongxuan Zhang;Miqing Li;Xiaohui Liu

  • A review on transfer learning in EEG signal analysis

    Zitong Wan;Zitong Wan;Rui Yang;Mengjie Huang;Nianyin Zeng

  • State estimation for delayed neural networks

    Zidong Wang;D.W.C. Ho;Xiaohui Liu

  • State estimation under false data injection attacks: Security analysis and system protection

    Liang Hu;Zidong Wang;Quing-Long Han;Xiaohui Liu

  • Exponential stability of delayed recurrent neural networks with Markovian jumping parameters

    Zidong Wang;Yurong Liu;Li Yu;Xiaohui Liu

  • Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors

    Juanying Xie;Hongchao Gao;Weixin Xie;Xiaohui Liu

  • Variance-constrained filtering for uncertain stochastic systems with missing measurements

    Zidong Wang;D.W.C. Ho;Xiaohui Liu

  • Brief paper: H∞ filtering with randomly occurring sensor saturations and missing measurements

    Zidong Wang;Bo Shen;Xiaohui Liu

  • Real-time traffic sign recognition from video by class-specific discriminative features

    Andrzej Ruta;Yongmin Li;Xiaohui Liu

  • Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays

    Yurong Liu;Zidong Wang;Jinling Liang;Xiaohui Liu

Frequent Co-Authors

Zidong Wang
Zidong Wang Brunel University London
Jinling Liang
Jinling Liang Southeast University
Sherry Y. Chen
Sherry Y. Chen National Central University
Miqing Li
Miqing Li University of Birmingham
Fuwen Yang
Fuwen Yang Griffith University
Daniel W. C. Ho
Daniel W. C. Ho City University of Hong Kong
Nianyin Zeng
Nianyin Zeng Xiamen University
Paul Kellam
Paul Kellam Imperial College London
Shengxiang Yang
Shengxiang Yang De Montfort University
Steve Counsell
Steve Counsell Brunel University London

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