ANSER-Plus Expert System for Estimating Heavy Rainfall from Satellite Data. - Ming Zhang 020; Twatchai Tanguairuang; Shuxiang Xu; Nawaiz I. Khan; Jianwen Chen; Roderick A. Scofield (Applied Informatics, 1999)

Adaptive higher-order feedforward neural networks. - Shuxiang Xu; Ming Zhang (IJCNN, 1999)

Approximation to continuous functionals and operators using adaptive higher-order feedforward neural networks. - Shuxiang Xu; Ming Zhang 020 (IJCNN, 1999)

A model auto-selection financial data simulation software using neuron-adaptive feedforward neural networks. - Shuxiang Xu; Ming Zhang 020 (IJCNN, 1999)

Neuron-adaptive higher order neural network group models. - Ming Zhang 020; Shuxiang Xu; Bo Lu (IJCNN, 1999)

Justification of a Neuron-Adaptive Activation Function. - Shuxiang Xu; Ming Zhang 020 (IJCNN (3), 2000)

Application of Genetic Algorithms to the Optimisation of Neural Network Configuration for Stock Market Forecasting. - Daniel Hulme; Shuxiang Xu (Australian Joint Conference on Artificial Intelligence, 2001)

An Adaptive Activation Function for Higher Order Neural Networks. - Shuxiang Xu; Ming Zhang 020 (Australian Joint Conference on Artificial Intelligence, 2002)

Neuron-adaptive higher order neural-network models for automated financial data modeling. - Ming Zhang 020; Shuxiang Xu; John Fulcher (IEEE Trans. Neural Networks, 2002)

Adaptive-Neuron Artificial Neural Network Features. - Ming Zhang 020; Shuxiang Xu; John Fulcher (IC-AI, 2004)

Data Mining - An Adaptive Neural Network Model for Financial Analysis. - Shuxiang Xu; Ming Zhang 020 (ICITA (1), 2005)

A New Adaptive Neural Network Model for Financial Data Mining. - Shuxiang Xu; Ming Zhang 020 (ISNN (1), 2007)

Application of New Adaptive Higher Order Neural Networks in Data Mining. - Shuxiang Xu; Ling Chen (CSSE (1), 2008)

Adaptive Higher Order Neural Networks for Effective Data Mining. - Shuxiang Xu; Ling Chen (ISNN (4), 2009)

Data Mining Using an Adaptive HONN Model with Hyperbolic Tangent Neurons. - Shuxiang Xu (PKAW, 2010)

Data Mining Using Higher Order Neural Network Models With Adaptive Neuron Activation Functions. - Shuxiang Xu (Int. J. Adv. Comp. Techn., 2010)

HONNs with ELM algorithm for medical applications. - Shuxiang Xu; Yunling Liu (ICARCV, 2012)

Comparative analysis of genetic based approach and Apriori algorithm for mining maximal frequent item sets. - Mir Md Jahangir Kabir; Shuxiang Xu; Byeong Ho Kang 001; Zongyuan Zhao (CEC, 2015)

Discovery of Interesting Association Rules Using Genetic Algorithm with Adaptive Mutation. - Mir Md Jahangir Kabir; Shuxiang Xu; Byeong Ho Kang 001; Zongyuan Zhao (ICONIP (2), 2015)

A New Evolutionary Algorithm for Extracting a Reduced Set of Interesting Association Rules. - Mir Md Jahangir Kabir; Shuxiang Xu; Byeong Ho Kang 001; Zongyuan Zhao (ICONIP (2), 2015)

Investigation and improvement of multi-layer perception neural networks for credit scoring. - Zongyuan Zhao; Shuxiang Xu; Byeong Ho Kang 001; Mir Md Jahangir Kabir; Yunling Liu; Rainer Wasinger (Expert Syst. Appl., 2015)

An Empirically-Sourced Heuristic for Predetermining the Size of the Hidden Layer of a Multi-layer Perceptron for Large Datasets. - Amanda Lunt; Shuxiang Xu (Australasian Conference on Artificial Intelligence, 2016)

Learning through shared note-taking visualisations in the classroom. - Bridgette Kaminski; Rainer Wasinger; Kimberley Norris; Chris Zehntner; Shuxiang Xu; Winyu Chinthammit; Henry B. L. Duh (OZCHI, 2016)

Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules. - Mir Md Jahangir Kabir; Shuxiang Xu; Byeong Ho Kang 001; Zongyuan Zhao (PAKDD Workshops, 2016)

A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules. - Mir Md Jahangir Kabir; Shuxiang Xu; Byeong Ho Kang 001; Zongyuan Zhao (Expert Syst. Appl., 2017)

New centrality measure for nodes based on user social status and behavior on Facebook. - Saman Forouzandeh; Amir Sheikhahmadi; Atae Rezaei Aghdam; Shuxiang Xu (Int. J. Web Inf. Syst., 2018)

An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification. - Md. Yasir Arafat; Sabera Hoque; Shuxiang Xu; Dewan Md. Farid 001 (SKIMA, 2019)

Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition. - Yuchen Wei; Shuxiang Xu; Son N. Tran; Byeong Ho Kang 001 (ICARCV, 2020)

Deep Learning for Retail Product Recognition: Challenges and Techniques. - Yuchen Wei; Son N. Tran; Shuxiang Xu; Byeong Ho Kang 001; Matthew Springer (Comput. Intell. Neurosci., 2020)

Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook. - Saman Forouzandeh; Atae Rezaei Aghdam; Soran Forouzandeh; Shuxiang Xu (Comput. Sci. Eng., 2020)

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 (IEEE Access, 2021)

A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG). - Sumbal Maqsood; Shuxiang Xu; Matthew Springer; Rami Mohawesh (IEEE Access, 2021)

Fake Reviews Detection: A Survey. - Rami Mohawesh; Shuxiang Xu; Son N. Tran; Robert Ollington; Matthew Springer; Yaser Jararweh; Sumbal Maqsood (IEEE Access, 2021)

Fake or Genuine? Contextualised Text Representation for Fake Review Detection. - Rami Mohawesh; Shuxiang Xu; Matthew Springer; Muna Al-Hawawreh; Sumbal Maqsood (CoRR, 2021)

Analysis of concept drift in fake reviews detection. - Rami Mohawesh; Son N. Tran; Robert Ollington; Shuxiang Xu (Expert Syst. Appl., 2021)

A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors. - Sumbal Maqsood; Shuxiang Xu; Son N. Tran; Saurabh Garg 001; Matthew Springer; Mohan Karunanithi; Rami Mohawesh (Expert Syst. Appl., 2022)

Generating training images with different angles by GAN for improving grocery product image recognition. - Yuchen Wei; Shuxiang Xu; Byeong Kang 001; Sabera Hoque (Neurocomputing, 2022)

SparkACO: A Spark-Based Ant Colony Optimization for Path Planning of Large-Scale Complex Road Networks. - Qibu Xiang; Shuxiang Xu; Yushun Fan; Jia Zhang 001 (BigDataService, 2023)

A Novel Neighborhood-Augmented Graph Attention Network for Sequential Recommendation. - Shuxiang Xu; Qibu Xiang; Yushun Fan; Ruyu Yan; Jia Zhang 001 (CICAI (2), 2023)

Exploiting Category Information in Sequential Recommendation. - Shuxiang Xu; Qibu Xiang; Yushun Fan; Ruyu Yan; Jia Zhang 001 (ICSOC (1), 2023)

SQ-FMFO: A Novel Scalarized Multi-objective Q-Learning Approach for Fuzzy Membership Function Optimization. - Bodrunnessa Badhon; Mir Md Jahangir Kabir; Md. Asifur Rahman; Shuxiang Xu (Int. J. Fuzzy Syst., 2023)

Deep learning for 6D pose estimation of objects - A case study for autonomous driving. - Sabera Hoque; Shuxiang Xu; Ananda Maiti; Yuchen Wei; Md. Yasir Arafat (Expert Syst. Appl., 2023)

An explainable ensemble of multi-view deep learning model for fake review detection. - Rami Mohawesh; Shuxiang Xu; Matthew Springer; Yaser Jararweh; Muna Al-Hawawreh; Sumbal Maqsood (J. King Saud Univ. Comput. Inf. Sci., 2023)

Exploiting deep transformer models in textual review based recommender systems. - Shivangi Gheewala; Shuxiang Xu; Soonja Yeom; Sumbal Maqsood (Expert Syst. Appl., 2024)

Deep shared learning and attentive domain mapping for cross-domain recommendation. - Shivangi Gheewala; Shuxiang Xu; Soonja Yeom (User Model. User Adapt. Interact., 2024)

Deep attention dynamic representation learning networks for recommender system review modeling. - Shivangi Gheewala; Shuxiang Xu; Soonja Yeom (Big Data Res., 2025)

In-depth survey: deep learning in recommender systems - exploring prediction and ranking models, datasets, feature analysis, and emerging trends. - Shivangi Gheewala; Shuxiang Xu; Soonja Yeom (Neural Comput. Appl., 2025)

Temporal attention to estimate continuous blood pressure using photoplethysmography signals. - Sumbal Maqsood; Shuxiang Xu; Matthew Springer; Rami Mohawesh; Haythem Bany Salameh; Shivangi Gheewala (Clust. Comput., 2025)