Guanjin Wang

According to our database, Guanjin Wang authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Fuzzy System for the Whole Graph Prediction: Concepts, Models, and Algorithms.

Fuping Hu, Zhaohong Deng, Guanjin Wang, Zhenping Xie, Kup-Sze Choi, Shitong Wang

IEEE Trans. Fuzzy Syst., March, 2024

Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels.

Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Xiuyu Huang, Saikit Lam, Jiabao Sheng, Kup-Sze Choi, Jing Cai, Weiping Ding

Inf. Fusion, January, 2024

2023

BE-ELM: Biological ensemble Extreme Learning Machine without the need of explicit aggregation.

Guanjin Wang, Zi Shen Darren Soo

Expert Syst. Appl., November, 2023

Recognition of Sleep-Wake Stages by Deep Takagi-Sugeno-Kang Fuzzy Classifier with Random Rule Heritage.

Ta Zhou, Guanjin Wang, Kup-Sze Choi, Shitong Wang

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling.

Guanjin Wang, Stephen Wai Hang Kwok, Daniel Axford, Muhammed Yousufuddin, Ferdous Sohel

Knowl. Based Syst., October, 2023

A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media.

Kok Kiang Long, Stephen Wai Hang Kwok, Jayne Kotz, Guanjin Wang

Comput. Biol. Medicine, September, 2023

A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients.

Guanjin Wang, Stephen Wai Hang Kwok, Muhammed Yousufuddin, Ferdous Sohel

IEEE J. Biomed. Health Informatics, August, 2023

Cyclic Gate Recurrent Neural Networks for Time Series Data with Missing Values.

Philip B. Weerakody, Kok Wai Wong, Guanjin Wang

Neural Process. Lett., April, 2023

TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification.

Yuanpeng Zhang, Guanjin Wang, Xiuyu Huang, Weiping Ding

Inf. Fusion, April, 2023

Policy gradient empowered LSTM with dynamic skips for irregular time series data.

Philip B. Weerakody, Kok Wai Wong, Guanjin Wang

Appl. Soft Comput., 2023

Improved Training of GMM-Based TSK Fuzzy System from Stability Perspective.

Erhao Zhou, Guanjin Wang, Shitong Wang

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Predicting Dementia Risk for Elderly Community Dwellers in Primary Care Services Using Subgroup-specific Prediction Models.

Stephen Wai Hang Kwok, Christine Sipka, Aled Matthews, Carol Pontes Lara, Guanjin Wang, Kup-Sze Choi

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Coupling Machine Learning Models with Innovative Technology-based Screening Tool for Identifying Psychological Distress among Aboriginal Perinatal Mothers.

Stephen Wai Hang Kwok, Jayne Kotz, Tracy Reibel, Guanjin Wang, Roz Walker, Rhonda Marriott

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data.

Guanjin Wang, Ta Zhou, Kup-Sze Choi, Jie Lu

IEEE Trans. Cybern., 2022

Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines.

Guanjin Wang, Kup-Sze Choi, Jeremy Yuen-Chun Teoh, Jie Lu

IEEE Trans. Cybern., 2022

A fuzzy system with common linear-term consequents equivalent to FLNN and GMM.

Yuanpeng Zhang, Guanjin Wang, Fu-Lai Chung, Shitong Wang

Int. J. Mach. Learn. Cybern., 2022

An accuracy-maximization learning framework for supervised and semi-supervised imbalanced data.

Guanjin Wang, Kok Wai Wong

Knowl. Based Syst., 2022

How a mRNA COVID-19 Vaccine works inside a Cell: A Virtual Reality Serious Game.

Cassandra Berry, Kok Wai Wong, Guanjin Wang, Shri Rai, Mohd Fairuz Shiratuddin

Proceedings of the 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH), 2022

2021

AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification.

Guanjin Wang, Kok Wai Wong, Jie Lu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Support vector machines with the known feature-evolution priors.

Yuanpeng Zhang, Guanjin Wang, Fu-Lai Chung, Shitong Wang

Knowl. Based Syst., 2021

A review of irregular time series data handling with gated recurrent neural networks.

Philip B. Weerakody, Kok Wai Wong, Guanjin Wang, Wendell Ela

Neurocomputing, 2021

Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users' Opinions on COVID-19 Vaccination.

Guanjin Wang, Stephen Wai Hang Kwok

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data.

Guanjin Wang, Jie Lu, Kup-Sze Choi, Guangquan Zhang

IEEE Trans. Cybern., 2020

Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data.

Guanjin Wang, Jeremy Yuen-Chun Teoh, Jie Lu, Kup-Sze Choi

Int. J. Mach. Learn. Cybern., 2020

Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis.

Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu

Neurocomputing, 2020

2019

Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer.

Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Jie Lu

IEEE Trans. Syst. Man Cybern. Syst., 2019

Reliability Learning for Interval Type-2 TSK Fuzzy Logic System with its Application to Medical Diagnosis.

Qiongdan Lou, Zhaohong Deng, Guanjin Wang, Kup-Sze Choi

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2018

Health care predictive analytics using artificial intelligence techniques

Guanjin Wang

PhD thesis, 2018

Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier.

Guanjin Wang, Zhaohong Deng, Kup-Sze Choi

IEEE J. Biomed. Health Informatics, 2018

Diagnosis of prostate cancer in a Chinese population by using machine learning methods.

Guanjin Wang, Jeremy Yuen-Chun Teoh, Kup-Sze Choi

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System.

Yizhang Jiang, Zhaohong Deng, Fu-Lai Chung, Guanjin Wang, Pengjiang Qian, Kup-Sze Choi, Shitong Wang

IEEE Trans. Fuzzy Syst., 2017

Detection of epilepsy with Electroencephalogram using rule-based classifiers.

Guanjin Wang, Zhaohong Deng, Kup-Sze Choi

Neurocomputing, 2017

An output-based knowledge transfer approach and its application in bladder cancer prediction.

Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Linear combination of densities and its direct estimation framework with applications.

Min Xu, Guanjin Wang, Korris Fu-Lai Chung, Shitong Wang

Neural Comput. Appl., 2016

Noise-benefit FRSDE for speedup of density estimation on large data.

Guanjin Wang, Kup-Sze Choi, Zhaohong Deng

J. Intell. Fuzzy Syst., 2016

2015

Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques.

Guanjin Wang, Kin-Man Lam, Zhaohong Deng, Kup-Sze Choi

Comput. Biol. Medicine, 2015

Detection of Epileptic Seizures in EEG Signals with Rule-Based Interpretation by Random Forest Approach.

Guanjin Wang, Zhaohong Deng, Kup-Sze Choi

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015