Improved Locally Linear Embedding Through New Distance Computing. - Heyong Wang; Jie Zheng; Zheng-an Yao; Lei Li 022 (ISNN (1), 2006)

Solving SAT problem with a multiagent evolutionary algorithm. - Jinshu Li; Heyong Wang; Jing Liu 006; Licheng Jiao (IEEE Congress on Evolutionary Computation, 2007)

Multiagent evolutionary algorithm for floorplanning using moving block sequence. - Heyong Wang; Kang Hu; Jing Liu 006; Licheng Jiao (IEEE Congress on Evolutionary Computation, 2007)

SMVLLE: An Efficient Dimension Reduction Scheme. - Heyong Wang (ISNN (2), 2009)

Enterprise cloud service architectures. - Heyong Wang; Wu He; Feng-Kwei Wang (Inf. Technol. Manag., 2012)

Information services paradigm for Small and Medium Enterprises Based on Cloud Computing. - Heyong Wang (J. Comput., 2013)

Estimating the Relative Importance of Nodes in Social Networks. - Heyong Wang; Carl K. Chang; Hen-I Yang; Yanping Chen 006 (J. Inf. Process., 2013)

Research on the Price of Online Short-Term Rental Rooms Based on Fusion of User Reviews. - Heyong Wang; Rong Cui (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Online ad effectiveness evaluation with a two-stage method using a Gaussian filter and decision tree approach. - Heyong Wang; Ming Hong (Electron. Commer. Res. Appl., 2019)

Supervised Hebb rule based feature selection for text classification. - Heyong Wang; Ming Hong (Inf. Process. Manag., 2019)

Study on Collaborative Filtering Recommendation Model Fusing User Reviews. - Heyong Wang; Ming Hong; Jinjiong Lan (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Utility-based feature selection for text classification. - Heyong Wang; Ming Hong; Raymond Yiu-Keung Lau (Knowl. Inf. Syst., 2019)

A 2020 perspective on "Online ad effectiveness evaluation with a two-stage method using a Gaussian filter and decision tree approach". - Heyong Wang; Ming Hong (Electron. Commer. Res. Appl., 2020)

Research on BP Neural Network Recommendation Model Fusing User Reviews and Ratings. - Heyong Wang; Ming Hong; Zhenqin Hong (IEEE Access, 2021)

Research on customer opinion summarization using topic mining and deep neural network. - Ming Hong; Heyong Wang (Math. Comput. Simul., 2021)

Research on product recommendation based on matrix factorization models fusing user reviews. - Heyong Wang; Zhenqin Hong; Ming Hong (Appl. Soft Comput., 2022)

Cross-Level Multi-Modal Features Learning With Transformer for RGB-D Object Recognition. - Ying Zhang 043; Maoliang Yin; Heyong Wang; Changchun Hua (IEEE Trans. Circuits Syst. Video Technol., 2023)

Graph-based bootstrapped latent recommendation model. - Heyong Wang; Guanshang Jiang; Ming Hong; Headar Abdalbari (Electron. Commer. Res. Appl., 2024)

A Note on Stronger Forms of Sensitivity for Non-Autonomous Dynamical Systems on Uniform Spaces. - Lixin Jiao; Heyong Wang; Lidong Wang; Nan Wang (Entropy, 2024)

Filter feature selection methods for text classification: a review. - Ming Hong; Heyong Wang (Multim. Tools Appl., 2024)

Bi-AM-RRT*: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments. - Ying Zhang 043; Heyong Wang; Maoliang Yin; Jiankun Wang 001; Changchun Hua (IEEE Trans. Intell. Veh., 2024)

Feature selection based on long short term memory for text classification. - Ming Hong; Heyong Wang (Multim. Tools Appl., 2024)

Research on the correlation between the degree of digitization of manufacturing process links and economic benefits. - Heyong Wang; Long Gu; Ming Hong (Bus. Process. Manag. J., 2025)