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Pengfei Wan - IEEE Xplore Author Profile
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Pengfei Wan

Publications
5
Citations
54
Publications by Year
20212023
Co-Authors:
Show All Co-Authors (12)
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Pengfei Wan

Affiliation

School of Computer Science
Shaanxi Normal University
Xi'an, China

Publication Topics

Biography

Pengfei Wan received B.S. degree in mathematics and applied mathematics, in 2016. He is currently working toward the Ph.D. degree in computer science and technology with the School of Computer Science, Shaanxi Normal university, Xian, China, under the supervision of Prof. Xiaoming Wang. His research interests include information diffusion, social computing, social networks, and nonlinear optimization and algorithm.(Based on document published on 23 November 2022).
Publications
5
Citations
54
Publications by Year
20212023
Co-Authors:
Show All Co-Authors (12)
Author's Published Works

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Efficient Deep Reinforcement Learning-Enabled Recommendation

Guangyao Pang;Xiaoming Wang;Liang Wang;Fei Hao;Yaguang Lin;Pengfei Wan;Geyong Min

IEEE Transactions on Network Science and Engineering
Year: 2023 | Volume: 10, Issue: 2 | Journal Article |
Cited by: Papers (8)
Existing recommendations based on machine learning are mainly based on supervised learning. However, these methods affected by historical behavior often bring great difficulties on mining high-quality long-tail items, achieving cold-start recommendations, and causing response inability to real-time environment changes. To this end, this paper proposes a Deep Reinforcement Learning-enabled Recommen...Show More

Efficient Deep Reinforcement Learning-Enabled Recommendation

Guangyao Pang;Xiaoming Wang;Liang Wang;Fei Hao;Yaguang Lin;Pengfei Wan;Geyong Min

Year: 2023 | Volume: 10, Issue: 2 | Journal Article |

Optimal Control for Positive and Negative Information Diffusion Based on Game Theory in Online Social Networks

Pengfei Wan;Xiaoming Wang;Geyong Min;Liang Wang;Yaguang Lin;Wangyang Yu;Xiaojun Wu

IEEE Transactions on Network Science and Engineering
Year: 2023 | Volume: 10, Issue: 1 | Journal Article |
Cited by: Papers (8)
In online social networks, information diffusion presents a complicated dynamic process that accompanies users' lives, in which the link between multi-information symbiosis and conflict is frequently overlooked. We investigate two aspects that influence the process of diffusion by examining the phenomena of information dissemination between individuals and the general environment in online social ...Show More

Optimal Control for Positive and Negative Information Diffusion Based on Game Theory in Online Social Networks

Pengfei Wan;Xiaoming Wang;Geyong Min;Liang Wang;Yaguang Lin;Wangyang Yu;Xiaojun Wu

Year: 2023 | Volume: 10, Issue: 1 | Journal Article |

Dual Attention-based Interest Network for Personalized Recommendation System

Xuan Zhou;Xiaoming Wang;Guangyao Pang;Yaguang Lin;Pengfei Wan;Meiling Ge

2021 IEEE 15th International Conference on Big Data Science and Engineering (BigDataSE)
Year: 2021 | Conference Paper |
With the rapid development of information technology, a large amount of resources can be obtained quickly anytime and anywhere, but these resources bring the difficulties for users because of the information explosion. Recommendation systems are often designed to help users filter the resources. At present, it is difficult to capture the potential user preferences from rich information of implicit...Show More

Dual Attention-based Interest Network for Personalized Recommendation System

Xuan Zhou;Xiaoming Wang;Guangyao Pang;Yaguang Lin;Pengfei Wan;Meiling Ge

Year: 2021 | Conference Paper |

A Knowledge Diffusion Model in Autonomous Learning Under Multiple Networks for Personalized Educational Resource Allocation

Pengfei Wan;Xiaoming Wang;Yaguang Lin;Guangyao Pang

IEEE Transactions on Learning Technologies
Year: 2021 | Volume: 14, Issue: 4 | Journal Article |
Cited by: Papers (10)
Learners’ autonomous learning is at the heart of modern education, and the convenient network brings new opportunities for it. We notice that learners mainly use the combination of online and offline learning methods to complete the entire autonomous learning process, but most of the existing models cannot effectively describe the complex process of knowledge diffusion under the multinetworks fram...Show More

A Knowledge Diffusion Model in Autonomous Learning Under Multiple Networks for Personalized Educational Resource Allocation

Pengfei Wan;Xiaoming Wang;Yaguang Lin;Guangyao Pang

Year: 2021 | Volume: 14, Issue: 4 | Journal Article |

Intervening Coupling Diffusion of Competitive Information in Online Social Networks

Pengfei Wan;Xiaoming Wang;Xinyan Wang;Liang Wang;Yaguang Lin;Wei Zhao

IEEE Transactions on Knowledge and Data Engineering
Year: 2021 | Volume: 33, Issue: 6 | Journal Article |
Cited by: Papers (28)
The vigorously rising of social media brings a new opportunity for information diffusion in online social networks. However, the existing models of information diffusion only consider the single information, such as rumor. What's more, most of intervention frameworks are modeled under the ideal circumstances without reality constraints. In this article, we propose a novel model of competitive info...Show More

Intervening Coupling Diffusion of Competitive Information in Online Social Networks

Pengfei Wan;Xiaoming Wang;Xinyan Wang;Liang Wang;Yaguang Lin;Wei Zhao

Year: 2021 | Volume: 33, Issue: 6 | Journal Article |

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