Shuxiang Xu

Shuxiang Xu

University of Tasmania

H-index: 21

Oceania-Australia

About Shuxiang Xu

Shuxiang Xu, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Tasmania, specializes in the field of Machine Learning, deep learning, Neural Networks, recommender systems.

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

Exploiting deep transformer models in textual review based recommender systems

An explainable ensemble of multi-view deep learning model for fake review detection

Deep learning for 6D pose estimation of objects—A case study for autonomous driving

SQ-FMFO: A novel scalarized Multi-objective Q-learning approach for Fuzzy membership function optimization

A survey on data mining and machine learning techniques for diagnosing hepatitis disease

Generating training images with different angles by GAN for improving grocery product image recognition

Predicting student performance using clickstream data and machine learning

A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors

Shuxiang Xu Information

University

Position

School of Information and Communication Technology

Citations(all)

1606

Citations(since 2020)

1015

Cited By

859

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

31

i10Index(since 2020)

21

Email

University Profile Page

University of Tasmania

Google Scholar

View Google Scholar Profile

Shuxiang Xu Skills & Research Interests

Machine Learning

deep learning

Neural Networks

recommender systems

Top articles of Shuxiang Xu

Title

Journal

Author(s)

Publication Date

Exploiting deep transformer models in textual review based recommender systems

Expert Systems with Applications

Shivangi Gheewala

Shuxiang Xu

Soonja Yeom

Sumbal Maqsood

2024/1/1

An explainable ensemble of multi-view deep learning model for fake review detection

Journal of King Saud University-Computer and Information Sciences

Rami Mohawesh

Shuxiang Xu

Matthew Springer

Yaser Jararweh

Muna Al-Hawawreh

...

2023/9/1

Deep learning for 6D pose estimation of objects—A case study for autonomous driving

Expert Systems with Applications

Sabera Hoque

Shuxiang Xu

Ananda Maiti

Yuchen Wei

Md Yasir Arafat

2023/8/1

SQ-FMFO: A novel scalarized Multi-objective Q-learning approach for Fuzzy membership function optimization

International Journal of Fuzzy Systems

Bodrunnessa Badhon

Mir Md Jahangir Kabir

Md Asifur Rahman

Shuxiang Xu

2023/3

A survey on data mining and machine learning techniques for diagnosing hepatitis disease

International Journal of Biomedical Engineering and Technology

Tabeen Tasneem

Mir Md Jahangir Kabir

Shuxiang Xu

Tazeen Tasneem

2023

Generating training images with different angles by GAN for improving grocery product image recognition

Neurocomputing

Yuchen Wei

Shuxiang Xu

Byeong Kang

Sabera Hoque

2022/6/1

Predicting student performance using clickstream data and machine learning

Education Sciences

Yutong Liu

Si Fan

Shuxiang Xu

Atul Sajjanhar

Soonja Yeom

...

2022/12/23

A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors

Sumbal Maqsood

Shuxiang Xu

Son Tran

Saurabh Garg

Matthew Springer

...

2022/7/1

A survey on association rule mining based on evolutionary algorithms

International Journal of Computers and Applications

Bodrunnessa Badhon

Mir Md Jahangir Kabir

Shuxiang Xu

Monika Kabir

2021/9/14

Analysis of concept drift in fake reviews detection

Expert Systems with Applications

Rami Mohawesh

Son Tran

Robert Ollington

Shuxiang Xu

2021/5/1

Fake or genuine? contextualised text representation for fake review detection

arXiv preprint arXiv:2112.14343

Rami Mohawesh

Shuxiang Xu

Matthew Springer

Muna Al-Hawawreh

Sumbal Maqsood

2021/12/29

Fake reviews detection: A survey

Rami Mohawesh

Shuxiang Xu

Son N Tran

Robert Ollington

Matthew Springer

...

2021/4/26

An empirical research on sentiment analysis using machine learning approaches

International Journal of Computers and Applications

Monika Kabir

Mir Md Jahangir Kabir

Shuxiang Xu

Bodrunnessa Badhon

2021/11/26

Diagnosis of cardiovascular diseases using artificial intelligence techniques: A review

Tazeen Tasneem

Mir Md Jahangir Kabir

Shuxiang Xu

Tabeen Tasneem

2021

A benchmark study of machine learning for analysis of signal feature extraction techniques for blood pressure estimation using photoplethysmography (PPG)

Ieee Access

Sumbal Maqsood

Shuxiang Xu

Matthew Springer

Rami Mohawesh

2021/10/4

A comprehensive review on 3D object detection and 6D pose estimation with deep learning

Sabera Hoque

Md Yasir Arafat

Shuxiang Xu

Ananda Maiti

Yuchen Wei

2021/9/22

Retraction: Yuan, N., et al. Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring. Appl. Sci. 2018 …

Nanqi Yuan

Wenli Yang

Byeong Kang

Shuxiang Xu

Xiaolin Wang

...

2020/2/20

Deep learning for retail product recognition: Challenges and techniques

Yuchen Wei

Son Tran

Shuxiang Xu

Byeong Kang

Matthew Springer

2020

Data augmentation with generative adversarial networks for grocery product image recognition

Yuchen Wei

Shuxiang Xu

Son Tran

Byeong Kang

2020/12/13

See List of Professors in Shuxiang Xu University(University of Tasmania)

Co-Authors

H-index: 42
Saurabh Garg

Saurabh Garg

University of Tasmania

H-index: 36
Byeong Ho Kang

Byeong Ho Kang

University of Tasmania

H-index: 16
Son N. Tran

Son N. Tran

University of Tasmania

H-index: 10
Matthew Springer

Matthew Springer

University of Tasmania

H-index: 9
Robert Ollington

Robert Ollington

University of Tasmania

H-index: 9
Wenli Yang

Wenli Yang

University of Tasmania

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