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Heyong Wang
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2020 – today
- 2024
- [j19]Heyong Wang, Guanshang Jiang, Ming Hong, Headar Abdalbari:
Graph-based bootstrapped latent recommendation model. Electron. Commer. Res. Appl. 68: 101446 (2024) - [j18]Lixin Jiao, Heyong Wang, Lidong Wang, Nan Wang:
A Note on Stronger Forms of Sensitivity for Non-Autonomous Dynamical Systems on Uniform Spaces. Entropy 26(1): 47 (2024) - [j17]Ming Hong, Heyong Wang:
Filter feature selection methods for text classification: a review. Multim. Tools Appl. 83(1): 2053-2091 (2024) - [j16]Ming Hong, Heyong Wang:
Feature selection based on long short term memory for text classification. Multim. Tools Appl. 83(15): 44333-44378 (2024) - [j15]Ying Zhang, Heyong Wang, Maoliang Yin, Jiankun Wang, Changchun Hua:
Bi-AM-RRT*: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments. IEEE Trans. Intell. Veh. 9(1): 1282-1293 (2024) - 2023
- [j14]Ying Zhang, Maoliang Yin, Heyong Wang, Changchun Hua:
Cross-Level Multi-Modal Features Learning With Transformer for RGB-D Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7121-7130 (2023) - [i1]Ying Zhang, Heyong Wang, Maoliang Yin, Jiankun Wang, Changchun Hua:
Bi-AM-RRT*: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments. CoRR abs/2301.11816 (2023) - 2022
- [j13]Heyong Wang, Zhenqin Hong, Ming Hong:
Research on product recommendation based on matrix factorization models fusing user reviews. Appl. Soft Comput. 123: 108971 (2022) - 2021
- [j12]Heyong Wang, Ming Hong, Zhenqin Hong:
Research on BP Neural Network Recommendation Model Fusing User Reviews and Ratings. IEEE Access 9: 86728-86738 (2021) - [j11]Ming Hong, Heyong Wang:
Research on customer opinion summarization using topic mining and deep neural network. Math. Comput. Simul. 185: 88-114 (2021) - 2020
- [j10]Heyong Wang, Ming Hong:
A 2020 perspective on "Online ad effectiveness evaluation with a two-stage method using a Gaussian filter and decision tree approach". Electron. Commer. Res. Appl. 40: 100928 (2020)
2010 – 2019
- 2019
- [j9]Heyong Wang, Ming Hong:
Online ad effectiveness evaluation with a two-stage method using a Gaussian filter and decision tree approach. Electron. Commer. Res. Appl. 35 (2019) - [j8]Heyong Wang, Ming Hong:
Supervised Hebb rule based feature selection for text classification. Inf. Process. Manag. 56(1): 167-191 (2019) - [j7]Heyong Wang, Ming Hong, Jinjiong Lan:
Study on Collaborative Filtering Recommendation Model Fusing User Reviews. J. Adv. Comput. Intell. Intell. Informatics 23(5): 864-873 (2019) - [j6]Heyong Wang, Ming Hong, Raymond Yiu-Keung Lau:
Utility-based feature selection for text classification. Knowl. Inf. Syst. 61(1): 197-226 (2019) - 2018
- [j5]Heyong Wang, Rong Cui:
Research on the Price of Online Short-Term Rental Rooms Based on Fusion of User Reviews. J. Adv. Comput. Intell. Intell. Informatics 22(6): 978-988 (2018) - 2013
- [j4]Heyong Wang, Carl K. Chang, Hen-I Yang, Yanping Chen:
Estimating the Relative Importance of Nodes in Social Networks. Inf. Media Technol. 8(3): 730-738 (2013) - [j3]Heyong Wang:
Information services paradigm for Small and Medium Enterprises Based on Cloud Computing. J. Comput. 8(5): 1240-1246 (2013) - [j2]Heyong Wang, Carl K. Chang, Hen-I Yang, Yanping Chen:
Estimating the Relative Importance of Nodes in Social Networks. J. Inf. Process. 21(3): 414-422 (2013) - 2012
- [j1]Heyong Wang, Wu He, Feng-Kwei Wang:
Enterprise cloud service architectures. Inf. Technol. Manag. 13(4): 445-454 (2012)
2000 – 2009
- 2009
- [c4]Heyong Wang:
SMVLLE: An Efficient Dimension Reduction Scheme. ISNN (2) 2009: 621-630 - 2007
- [c3]Jinshu Li, Heyong Wang, Jing Liu, Licheng Jiao:
Solving SAT problem with a multiagent evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 1416-1422 - [c2]Heyong Wang, Kang Hu, Jing Liu, Licheng Jiao:
Multiagent evolutionary algorithm for floorplanning using moving block sequence. IEEE Congress on Evolutionary Computation 2007: 4372-4377 - 2006
- [c1]Heyong Wang, Jie Zheng, Zheng-an Yao, Lei Li:
Improved Locally Linear Embedding Through New Distance Computing. ISNN (1) 2006: 1326-1333
Coauthor Index
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