Generating Neural Networks with Optimal Features through Particle Swarm Optimization. - Ricardo Brito; Simon Fong 001; Yan Zhuang; Yaoyang Wu (BDIOT, 2017)

General Precautions against Security Threats for Computer Networks in SMEs: From the Perspective of Big Data and IOT. - Yaoyang Wu; Simon Fong 001; Yan Zhuang (BDIOT, 2017)

Study of the Influence on Beauty Brands and Their Products from Chinese Social Network: From the Perspective of Big Data. - Yaoyang Wu; Simon Fong 001; Tengyue Li (BDIOT, 2018)

Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining. - Tengyue Li; Simon Fong 001; Yaoyang Wu; Antonio J. Tallón-Ballesteros (ICDM (Workshops), 2020)

Sleep pattern inference using IoT sonar monitoring and machine learning with Kennard-stone balance algorithm. - Tengyue Li; Yaoyang Wu; Feng Wu; Sabah Mohammed; Raymond K. Wong 001; Kok-Leong Ong (Comput. Electr. Eng., 2021)

Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey. - Jie Yang 057; Simon Fong 001; Han Wang 015; Quanyi Hu; Chen Lin; Shigao Huang; Jian Shi; Kun Lan; Rui Tang; Yaoyang Wu; Qi Zhao (Expert Syst. Appl., 2021)

Dynamic swarm class rebalancing for the process mining of rare events. - Jinyan Li 002; Yaoyang Wu; Simon Fong 001; Raymond K. Wong 001; Victor W. Chu; Kok-Leong Ong; Kelvin Kian Loong Wong (J. Supercomput., 2021)

Classification Methods for MOBA Games. - Marco A. Peña-Cubillos; Alejandro Villar-Ruiz; Antonio J. Tallón-Ballesteros; Yaoyang Wu; Simon Fong 001 (SOCO, 2022)

Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS)$ wedge $FSo. - Antonio J. Tallón-Ballesteros; Alba Márquez-Rodríguez; Yaoyang Wu; Paola Santana-Morales; Simon Fong 001 (SOCO, 2022)

A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data. - Jinyan Li 002; Yaoyang Wu; Simon Fong 001; Antonio J. Tallón-Ballesteros; Xin-She Yang 001; Sabah Mohammed; Feng Wu (J. Supercomput., 2022)

Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models. - Dong Li; Jiandong Jin; Yuhao Zhang; Yanlin Zhong; Yaoyang Wu; Lan Chen; Xiao Wang; Bin Luo (CoRR, 2023)

Enhancing Bone Abnormality Classification Through Background and Irrelevant Part Processing: A Deep Learning and Explainable AI Approach. - Yaoyang Wu; Jiahui Yu; Simon Fong 001; Qun Song 007; Liansheng Liu (HealthCom, 2024)

A deep time-series water level prediction framework based on internal and external influencing factors: Targeting agricultural irrigation reservoirs. - Guotao Wang; Xiangjiang Zhao; Yue Sun; Renxie Shen; Wenxuan Zheng; Yaoyang Wu (Comput. Electron. Agric., 2024)

Semantic-aware frame-event fusion based pattern recognition via large vision-language models. - Dong Li; Jiandong Jin; Yuhao Zhang; Yanlin Zhong; Yaoyang Wu; Lan Chen; Xiao Wang 014; Bin Luo 001 (Pattern Recognit., 2025)

Deep Learning Based Intelligent Tumor Analytics Framework for Quantitative Grading and Analyzing Cancer Metastasis: Case of Lymph Node Breast Cancer. - Tengyue Li; Simon Fong 001; Yaoyang Wu; Xin Zhang; Qun Song 007; Huafeng Qin; Sabah Mohammed; Tian Feng; Juntao Gao; Andrea Sciarrone (IEEE Trans. Emerg. Top. Comput., 2025)

Enhancing explainability in medical image classification and analyzing osteonecrosis X-ray images using shadow learner system. - Yaoyang Wu; Simon Fong 001; Liansheng Liu (Appl. Intell., 2025)

Optimization of Dynamic Time Warping Algorithm for Abnormal Signal Detection. - Yuru Teng; Guotao Wang; Cailing He; Yaoyang Wu; Chaoran Li (Int. J. Data Sci. Anal., 2025)

Shadow learner system: implementation of CNN with explainable AI model for bone radiology image classification. - Yaoyang Wu; Simon Fong 001; Liansheng Liu (Soft Comput., 2025)