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Xiangwan Fu - IEEE Xplore Author Profile
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Xiangwan Fu

Publications
2
Citations
5
Publications by Year
20242025
Co-Authors:
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Xiangwan Fu

Affiliation

School of Computer Science and Engineering
Central South University
Changsha, China

Publication Topics

Biography

Xiangwan Fu received the M.E. degree from Changsha University of Science and Technology, Changsha, Hunan, China, in 2022. He is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Central South University, Changsha.,His research interests include mobile crowdsensing, artificial intelligence, and big data analysis.(Based on document published on 12 September 2023).
Publications
2
Citations
5
Publications by Year
20242025
Co-Authors:
Show All Co-Authors (8)
Author's Published Works

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Truthful and Dual-Direction Combinatorial Multi-Armed Bandit Scheme to Maximize Profit for Mobile Crowd Sensing

Xiangwan Fu;Saiqin Long;Anfeng Liu;Ju Ren;Bin Guo;Zhetao Li

IEEE Transactions on Dependable and Secure Computing
Year: 2025 | Volume: 22, Issue: 2 | Journal Article |
Nowadays, Mobile Crowd Sensing (MCS) has become a popular paradigm for large-scale data collection using ubiquitous mobile sensing devices. However, most existing works do not consider that requester's payments are unknown prior, and assume that workers are honest, which may not be true in practice. To address these problems, we propose a novel Truthful and Dual-direction Combinatorial Multi-Armed...Show More

Truthful and Dual-Direction Combinatorial Multi-Armed Bandit Scheme to Maximize Profit for Mobile Crowd Sensing

Xiangwan Fu;Saiqin Long;Anfeng Liu;Ju Ren;Bin Guo;Zhetao Li

Year: 2025 | Volume: 22, Issue: 2 | Journal Article |

ATWR-SMR: An Area-Constrained Truthful-Worker Recruitment-Based Sensing Map Recovery Scheme for Sparse MCS in Extreme-Environment Internet of Things

Xiangwan Fu;Anfeng Liu;Neal N. Xiong;Tian Wang;Shaobo Zhang

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 3 | Journal Article |
Cited by: Papers (5)
Sparse mobile crowdsensing (SMCS) is a prospective solution for large-scale data sensing through mobile devices of Internet of Things (IoT) systems where IoT systems cannot obtain the sensing data of the area under extreme environments. The unsensed area data can be obtained by the data inference algorithm trained by the sensed data of recruited workers. However, recruited workers may upload false...Show More

ATWR-SMR: An Area-Constrained Truthful-Worker Recruitment-Based Sensing Map Recovery Scheme for Sparse MCS in Extreme-Environment Internet of Things

Xiangwan Fu;Anfeng Liu;Neal N. Xiong;Tian Wang;Shaobo Zhang

Year: 2024 | Volume: 11, Issue: 3 | Journal Article |

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