Guanjin Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Support Vector Machine

Extreme Learning Machines

Imbalanced Data

Top Venues

IEEE Trans. Cybern.

Knowl. Based Syst.

Publications

Fuping Hu, Zhaohong Deng, Guanjin Wang, Zhenping Xie, Kup-Sze Choi, Shitong Wang
Graph Fuzzy System for the Whole Graph Prediction: Concepts, Models, and Algorithms. IEEE Trans. Fuzzy Syst. 32 (3) (2024)
Stephen Wai Hang Kwok, Yuanpeng Zhang, Guanjin Wang
Artificial intelligence in perinatal mental health research: A scoping review. Comput. Biol. Medicine 177 (2024)
Ta Zhou, Guanjin Wang, Kup-Sze Choi, Shitong Wang
A two-view deep interpretable TSK fuzzy classifier under mutually teachable classification criterion. Inf. Sci. 665 (2024)
Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Xiuyu Huang, Saikit Lam, Jiabao Sheng, Kup-Sze Choi, Jing Cai, Weiping Ding
Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels. Inf. Fusion 101 (2024)
Yitong He, Guanjin Wang, Yonglin Ren, Shan Gao, Simon J. McKirdy, Dong Chu
Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data. Comput. Electron. Agric. 222 (2024)
Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. CoRR (2024)
Philip B. Weerakody, Kok Wai Wong, Guanjin Wang
Policy gradient empowered LSTM with dynamic skips for irregular time series data. Appl. Soft Comput. 142 (2023)
Yuanpeng Zhang, Guanjin Wang, Xiuyu Huang, Weiping Ding
TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification. Inf. Fusion 92 (2023)
Guanjin Wang, Stephen Wai Hang Kwok, Muhammed Yousufuddin, Ferdous Sohel
A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Ta Zhou, Guanjin Wang, Kup-Sze Choi, Shitong Wang
Recognition of Sleep-Wake Stages by Deep Takagi-Sugeno-Kang Fuzzy Classifier with Random Rule Heritage. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Guanjin Wang, Zi Shen Darren Soo
BE-ELM: Biological ensemble Extreme Learning Machine without the need of explicit aggregation. Expert Syst. Appl. 230 (2023)
Erhao Zhou, Guanjin Wang, Shitong Wang
Improved Training of GMM-Based TSK Fuzzy System from Stability Perspective. ISKE (2023)
Philip B. Weerakody, Kok Wai Wong, Guanjin Wang
Cyclic Gate Recurrent Neural Networks for Time Series Data with Missing Values. Neural Process. Lett. 55 (2) (2023)
Stephen Wai Hang Kwok, Jayne Kotz, Tracy Reibel, Guanjin Wang, Roz Walker, Rhonda Marriott
Coupling Machine Learning Models with Innovative Technology-based Screening Tool for Identifying Psychological Distress among Aboriginal Perinatal Mothers. EMBC (2023)
Guanjin Wang, Stephen Wai Hang Kwok, Daniel Axford, Muhammed Yousufuddin, Ferdous Sohel
An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling. Knowl. Based Syst. 278 (2023)
Kok Kiang Long, Stephen Wai Hang Kwok, Jayne Kotz, Guanjin Wang
A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media. Comput. Biol. Medicine 164 (2023)
Stephen Wai Hang Kwok, Christine Sipka, Aled Matthews, Carol Pontes Lara, Guanjin Wang, Kup-Sze Choi
Predicting Dementia Risk for Elderly Community Dwellers in Primary Care Services Using Subgroup-specific Prediction Models. EMBC (2023)
Guanjin Wang, Kup-Sze Choi, Jeremy Yuen-Chun Teoh, Jie Lu
Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines. IEEE Trans. Cybern. 52 (5) (2022)
Yuanpeng Zhang, Guanjin Wang, Fu-Lai Chung, Shitong Wang
A fuzzy system with common linear-term consequents equivalent to FLNN and GMM. Int. J. Mach. Learn. Cybern. 13 (5) (2022)
Cassandra Berry, Kok Wai Wong, Guanjin Wang, Shri Rai, Mohd Fairuz Shiratuddin
How a mRNA COVID-19 Vaccine works inside a Cell: A Virtual Reality Serious Game. SeGAH (2022)
Guanjin Wang, Kok Wai Wong
An accuracy-maximization learning framework for supervised and semi-supervised imbalanced data. Knowl. Based Syst. 255 (2022)
Guanjin Wang, Ta Zhou, Kup-Sze Choi, Jie Lu
A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data. IEEE Trans. Cybern. 52 (5) (2022)
Guanjin Wang, Stephen Wai Hang Kwok
Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users' Opinions on COVID-19 Vaccination. BHI (2021)
Guanjin Wang, Kok Wai Wong, Jie Lu
AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification. IEEE Trans. Syst. Man Cybern. Syst. 51 (12) (2021)
Yuanpeng Zhang, Guanjin Wang, Fu-Lai Chung, Shitong Wang
Support vector machines with the known feature-evolution priors. Knowl. Based Syst. 223 (2021)
Philip B. Weerakody, Kok Wai Wong, Guanjin Wang, Wendell Ela
A review of irregular time series data handling with gated recurrent neural networks. Neurocomputing 441 (2021)
Guanjin Wang, Jie Lu, Kup-Sze Choi, Guangquan Zhang
A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data. IEEE Trans. Cybern. 50 (2) (2020)
Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu
Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis. Neurocomputing 387 (2020)
Guanjin Wang, Jeremy Yuen-Chun Teoh, Jie Lu, Kup-Sze Choi
Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data. Int. J. Mach. Learn. Cybern. 11 (8) (2020)
Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Jie Lu
Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer. IEEE Trans. Syst. Man Cybern. Syst. 49 (7) (2019)
Qiongdan Lou, Zhaohong Deng, Guanjin Wang, Kup-Sze Choi
Reliability Learning for Interval Type-2 TSK Fuzzy Logic System with its Application to Medical Diagnosis. ISKE (2019)
Guanjin Wang, Zhaohong Deng, Kup-Sze Choi
Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier. IEEE J. Biomed. Health Informatics 22 (2) (2018)
Guanjin Wang, Jeremy Yuen-Chun Teoh, Kup-Sze Choi
Diagnosis of prostate cancer in a Chinese population by using machine learning methods. EMBC (2018)
Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu
An output-based knowledge transfer approach and its application in bladder cancer prediction. IJCNN (2017)
Yizhang Jiang, Zhaohong Deng, Fu-Lai Chung, Guanjin Wang, Pengjiang Qian, Kup-Sze Choi, Shitong Wang
Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System. IEEE Trans. Fuzzy Syst. 25 (1) (2017)
Guanjin Wang, Zhaohong Deng, Kup-Sze Choi
Detection of epilepsy with Electroencephalogram using rule-based classifiers. Neurocomputing 228 (2017)
Guanjin Wang, Kup-Sze Choi, Zhaohong Deng
Noise-benefit FRSDE for speedup of density estimation on large data. J. Intell. Fuzzy Syst. 30 (1) (2016)
Min Xu, Guanjin Wang, Korris Fu-Lai Chung, Shitong Wang
Linear combination of densities and its direct estimation framework with applications. Neural Comput. Appl. 27 (6) (2016)
Guanjin Wang, Zhaohong Deng, Kup-Sze Choi
Detection of Epileptic Seizures in EEG Signals with Rule-Based Interpretation by Random Forest Approach. ICIC (3) (2015)
Guanjin Wang, Kin-Man Lam, Zhaohong Deng, Kup-Sze Choi
Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques. Comput. Biol. Medicine 63 (2015)