Xiaohui Liu

Xiaohui Liu

Brunel University London

H-index: 93

Europe-United Kingdom

About Xiaohui Liu

Xiaohui Liu, With an exceptional h-index of 93 and a recent h-index of 54 (since 2020), a distinguished researcher at Brunel University London, specializes in the field of Intelligent Data Analysis, Artificial Intelligence, Biomedical Informatics, Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks

Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification

A survey of algorithms, applications and trends for particle swarm optimization

Sub-Band Cascaded CSP-based Deep Transfer Learning for Cross-Subject Lower Limb Motor Imagery Classification

Influence maximization in multiagent systems by a graph embedding method: dealing with probabilistically unstable links

Differentiable channel pruning guided via attention mechanism: a novel neural network pruning approach

Constraint-induced symmetric nonnegative matrix factorization for accurate community detection

A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors

Xiaohui Liu Information

University

Position

Professor of Computing

Citations(all)

34635

Citations(since 2020)

15389

Cited By

25884

hIndex(all)

93

hIndex(since 2020)

54

i10Index(all)

283

i10Index(since 2020)

195

Email

University Profile Page

Brunel University London

Google Scholar

View Google Scholar Profile

Xiaohui Liu Skills & Research Interests

Intelligent Data Analysis

Artificial Intelligence

Biomedical Informatics

Engineering

Top articles of Xiaohui Liu

Title

Journal

Author(s)

Publication Date

Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks

Neurocomputing

Chuanbo Wen

Yipeng Xue

Weibo Liu

Guochu Chen

Xiaohui Liu

2024/4/1

Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification

IEEE Transactions on Emerging Topics in Computational Intelligence

Zhige Chen

Rui Yang

Mengjie Huang

Zidong Wang

Xiaohui Liu

2024/2/7

A survey of algorithms, applications and trends for particle swarm optimization

International Journal of Network Dynamics and Intelligence

Jingzhong Fang

Weibo Liu

Linwei Chen

Stanislao Lauria

Alina Miron

...

2023/3/27

Sub-Band Cascaded CSP-based Deep Transfer Learning for Cross-Subject Lower Limb Motor Imagery Classification

IEEE Transactions on Cognitive and Developmental Systems

Mingnan Wei

Rui Yang

Mengjie Huang

Jiaying Ni

Zidong Wang

...

2023/12/4

Influence maximization in multiagent systems by a graph embedding method: dealing with probabilistically unstable links

IEEE Transactions on Cybernetics

Mincan Li

Zidong Wang

Qing-Long Han

Simon JE Taylor

Kenli Li

...

2023/1/2

Differentiable channel pruning guided via attention mechanism: a novel neural network pruning approach

Complex & Intelligent Systems

Hanjing Cheng

Zidong Wang

Lifeng Ma

Zhihui Wei

Fawaz E Alsaadi

...

2023/10

Constraint-induced symmetric nonnegative matrix factorization for accurate community detection

Information Fusion

Zhigang Liu

Xin Luo

Zidong Wang

Xiaohui Liu

2023

A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors

International Journal of Machine Learning and Cybernetics

Jieyu Zhang

Zidong Wang

Weibo Liu

Xiaohui Liu

Qiusheng Zheng

2023/9

A swarm optimizer with attention-based particle sampling and learning for large scale optimization

Journal of Ambient Intelligence and Humanized Computing

Mengmeng Sheng

Zidong Wang

Weibo Liu

Xi Wang

Shengyong Chen

...

2023/7

A novel multi-objective optimization approach with flexible operation planning strategy for truck scheduling

International Journal of Network Dynamics and Intelligence

Yiming Wang

Weibo Liu

Chuang Wang

Futra Fadzil

Stanislao Lauria

...

2023/6/23

IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity

Neurocomputing

Ziqi Liu

Rui Yang

Weibo Liu

Xiaohui Liu

2023/12/7

A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization

Knowledge-Based Systems

Mengmeng Sheng

Zidong Wang

Weibo Liu

Xi Wang

Shengyong Chen

...

2022/4/22

An effective and efficient evolutionary algorithm for many-objective optimization

Information Science

Yani Xue

Miqing Li

Xiaohui Liu

2022/12

Sensor fault estimation for nonlinear complex networks with time delays under saturated innovations: A binary encoding scheme

IEEE Transactions on Network Science and Engineering

Nan Hou

Zidong Wang

Hongli Dong

Jun Hu

Xiaohui Liu

2022/8/3

Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications

International Journal of Machine Learning and Cybernetics

Lulu Tian

Zidong Wang

Weibo Liu

Yuhua Cheng

Fuad E Alsaadi

...

2022/4

Recent advances on loss functions in deep learning for computer vision

Yingjie Tian

Duo Su

Stanislao Lauria

Xiaohui Liu

2022/8/1

A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection

IEEE Transactions on Instrumentation and Measurement

Nianyin Zeng

Peishu Wu

Zidong Wang

Han Li

Weibo Liu

...

2022/2/24

Single-source to single-target cross-subject motor imagery classification based on multisubdomain adaptation network

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Yi Chen

Rui Yang

Mengjie Huang

Zidong Wang

Xiaohui Liu

2022/7/18

A new particle swarm optimization algorithm for outlier detection: Industrial data clustering in wire arc additive manufacturing

IEEE Transactions on Automation Science and Engineering

Jingzhong Fang

Zidong Wang

Weibo Liu

Stanislao Lauria

Nianyin Zeng

...

2022/12/29

Adaptive set-membership state estimation for nonlinear systems under bit rate allocation mechanism: A neural-network-based approach

IEEE Transactions on Neural Networks and Learning Systems

Kaiqun Zhu

Zidong Wang

Guoliang Wei

Xiaohui Liu

2022/2/23

See List of Professors in Xiaohui Liu University(Brunel University London)