An improved Wang-Mendel method based on the FSFDP clustering algorithm and sample correlation. - Jin Gou; Zongwen Fan; Cheng Wang 020; Wei Luo; Haixiao Chi (J. Intell. Fuzzy Syst., 2016)

Fuzzy model identification based on fuzzy-rule clustering and its application for airfoil noise prediction. - Zongwen Fan; Jin Gou; Cheng Wang 020; Wei Luo (J. Intell. Fuzzy Syst., 2017)

A sentiment analysis-based machine learning approach for financial market prediction via news disclosures. - Raymond Chiong; Zongwen Fan; Zhongyi Hu 002; Marc T. P. Adam; Bernhard Lutz; Dirk Neumann 001 (GECCO (Companion), 2018)

A two-layer Wang-Mendel fuzzy approach for predicting the residuary resistance of sailing yachts. - Zongwen Fan; Raymond Chiong; Zhongyi Hu 002; Sandeep Dhakal; Yuqing Lin (J. Intell. Fuzzy Syst., 2019)

A multi-layer fuzzy model based on fuzzy-rule clustering for prediction tasks. - Zongwen Fan; Raymond Chiong; Zhongyi Hu 002; Yuqing Lin (Neurocomputing, 2020)

h-DBSCAN: A simple fast DBSCAN algorithm for big data. - Shaoyuan Weng; Jin Gou; Zongwen Fan (ACML, 2021)

Using an improved relative error support vector machine for body fat prediction. - Raymond Chiong; Zongwen Fan; Zhongyi Hu 002; Fabian Chiong (Comput. Methods Programs Biomed., 2021)

A fuzzy-weighted approach for malicious web domain identification. - Zuli Wang 001; Raymond Chiong; Zongwen Fan (J. Intell. Fuzzy Syst., 2021)

Pairwise Contrastive Learning Network for Action Quality Assessment. - Mingzhe Li; Hongbo Zhang 002; Qing Lei; Zongwen Fan; Jinghua Liu; Ji-Xiang Du (ECCV (4), 2022)

A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction. - Zongwen Fan; Raymond Chiong; Fabian Chiong (Appl. Intell., 2022)

Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes. - Shaleeza Sohail; Zongwen Fan; Xin Gu 001; Fariza Sabrina (CoRR, 2022)

Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks. - Huong Ha 001; Zongwen Fan; Hongyu Zhang 002 (CoRR, 2022)

A fuzzy-based ensemble model for improving malicious web domain identification. - Raymond Chiong; Zuli Wang 001; Zongwen Fan; Sandeep Dhakal (Expert Syst. Appl., 2022)

Session-based recommendation with temporal convolutional network to balance numerical gaps. - Weinan Li; Jin Gou; Zongwen Fan (Neurocomputing, 2022)

Multi-tiered Artificial Neural Networks model for intrusion detection in smart homes. - Shaleeza Sohail; Zongwen Fan; Xin Gu 001; Fariza Sabrina (Intell. Syst. Appl., 2022)

Prediction of Cancer Drug Sensitivity Based on GBDT-RF Algorithm. - Yating Li; Jin Guo 003; Zongwen Fan (ICANN (4), 2023)

A reinforcement learning-based weight fusion algorithm for house price prediction. - Yige Zhang; Zongwen Fan; Jin Gou (ICTAI, 2023)

Predicting secondary school student performance using a double particle swarm optimization-based categorical boosting model. - Zongwen Fan; Jin Gou; Cheng Wang 020 (Eng. Appl. Artif. Intell., 2023)

Point-Based Learnable Query Generator for Human-Object Interaction Detection. - Wang-Kai Lin; Hongbo Zhang 002; Zongwen Fan; Jinghua Liu; Lijie Yang 001; Qing Lei; Jixiang Du (IEEE Trans. Image Process., 2023)

A hierarchy-based machine learning model for happiness prediction. - Zongwen Fan; Fenlin Wu; Yaxuan Tang (Appl. Intell., 2023)

Identifying digital capabilities in university courses: An automated machine learning approach. - Zongwen Fan; Raymond Chiong (Educ. Inf. Technol., 2023)

Predicting body fat using a novel fuzzy-weighted approach optimized by the whale optimization algorithm. - Zongwen Fan; Jin Gou (Expert Syst. Appl., 2023)

A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method. - Raymond Chiong; Zongwen Fan; Zhongyi Hu 002; Sandeep Dhakal (IEEE Trans. Comput. Soc. Syst., 2023)

An ensemble machine learning approach for classification tasks using feature generation. - Wenjuan Feng; Jin Gou; Zongwen Fan; Xiang Chen (Connect. Sci., 2023)

A Feature Fusion-Based ResNet Using the Pooling Pyramid for Age Estimation. - Chuanze Lin; Jin Gou; Zongwen Fan; Yongxin Liao (IJCNN, 2024)

From Integer Programming to Machine Learning: A Technical Review on Solving University Timetabling Problems. - Xin Gu 001; Muralee Krish; Shaleeza Sohail; Sweta Thakur; Fariza Sabrina; Zongwen Fan (Comput., 2024)

A multi-label network attack detection approach based on two-stage model fusion. - Yongqing Huang; Jin Gou; Zongwen Fan; Yongxin Liao; Yanmin Zhuang (J. Inf. Secur. Appl., 2024)

A Novel Fuzzy Feature Generation Approach for Happiness Prediction. - Zongwen Fan; Jin Gou; Shaoyuan Weng (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A fast DBSCAN algorithm using a bi-directional HNSW index structure for big data. - Shaoyuan Weng; Zongwen Fan; Jin Gou (Int. J. Mach. Learn. Cybern., 2024)

An Unbiased Fuzzy Weighted Relative Error Support Vector Machine for Reverse Prediction of Concrete Components. - Zongwen Fan; Jin Gou; Shaoyuan Weng (IEEE Trans. Artif. Intell., 2024)

Depth-based adaptable image layer prediction using bidirectional depth semantic fusion. - Jie Lin; Zongwen Fan; Lipai Huang; Kaifeng Huang 005 (Vis. Comput., 2024)

A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction. - Zongwen Fan; Jin Gou; Shaoyuan Weng (IEEE Trans. Knowl. Data Eng., 2024)

A Novel Multi-stage Ensemble Method for Noisy Labels Using Sample Selection and Label Correction. - Zhihong Yu; Zongwen Fan; Jin Gou (ICIC (10), 2025)

An error complementarity-based iterative learning approach via categorical boosting for student performance prediction. - Zongwen Fan; Jin Gou; Cheng Wang 020 (Eng. Appl. Artif. Intell., 2025)

A importance-based ensemble method using an adaptive threshold searching for feature selection. - Yanmin Zhuang; Zongwen Fan; Jin Gou; Yongqing Huang; Wenjuan Feng (Expert Syst. Appl., 2025)

Complementary CatBoost based on residual error for student performance prediction. - Zongwen Fan; Jin Gou; Shaoyuan Weng (Pattern Recognit., 2025)

A hybrid feature selection and aggregation strategy-based stacking ensemble technique for network intrusion detection. - Yongqing Huang; Guoqing Chen; Jin Gou; Zongwen Fan; Yongxin Liao (Appl. Intell., 2025)