Články se zplnomocněním k veřejnému přístupu - LIU WenbinDalší informace
Nedostupné nikde: 15
A prediction-based user selection framework for heterogeneous mobile crowdsensing
Y Yang, W Liu, E Wang, J Wu
IEEE Transactions on Mobile Computing 18 (11), 2460-2473, 2018
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
Deep learning-enabled sparse industrial crowdsensing and prediction
E Wang, M Zhang, X Cheng, Y Yang, W Liu, H Yu, L Wang, J Zhang
IEEE Transactions on Industrial Informatics 17 (9), 6170-6181, 2020
Zplnomocnění: National Natural Science Foundation of China
Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction
Y Xu, X Cai, E Wang, W Liu, Y Yang, F Yang
Information Sciences 621, 580-595, 2023
Zplnomocnění: National Natural Science Foundation of China
Truthful user recruitment for cooperative crowdsensing task: A combinatorial multi-armed bandit approach
H Wang, Y Yang, E Wang, W Liu, Y Xu, J Wu
IEEE Transactions on Mobile Computing 22 (7), 4314-4331, 2022
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
Truthful incentive mechanism for budget-constrained online user selection in mobile crowdsensing
E Wang, H Wang, Y Yang, W Liu
IEEE Transactions on Mobile Computing 21 (12), 4642-4655, 2021
Zplnomocnění: National Natural Science Foundation of China
Trustworthy and efficient crowdsensed data trading on sharding blockchain
E Wang, J Cai, Y Yang, W Liu, H Wang, B Yang, J Wu
IEEE Journal on Selected Areas in Communications 40 (12), 3547-3561, 2022
Zplnomocnění: National Natural Science Foundation of China
Spatiotemporal urban inference and prediction in sparse mobile crowdsensing: A graph neural network approach
E Wang, W Liu, W Liu, Y Yang, B Yang, J Wu
IEEE Transactions on Mobile Computing 22 (11), 6784-6799, 2022
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
Minimum-cost edge-server location strategy in mobile crowdsensing
D Luan, E Wang, W Liu, Y Yang, J Wu
IEEE Transactions on Network and Service Management 18 (3), 3375-3388, 2021
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
SDVRP-based reposition routing in bike-sharing system
Z Han, Y Yang, Y Jiang, W Liu, E Wang
International Conference on Algorithms and Architectures for Parallel …, 2018
Zplnomocnění: National Natural Science Foundation of China
Beaconing Control strategy based on Game Theory in mobile crowdsensing
Y Yang, W Liu, E Wang, H Wang
Future Generation Computer Systems 86, 222-233, 2018
Zplnomocnění: National Natural Science Foundation of China
Spatiotemporal Transformer for Data Inference and Long Prediction in Sparse Mobile CrowdSensing
E Wang, W Liu, W Liu, C Xiang, B Yang, Y Yang
IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023
Zplnomocnění: National Natural Science Foundation of China
Online Task Offloading with Edge Service Providers Selection for Mobile Edge Computing
J Shang, W Liu, Y Yang
2023 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2023
Zplnomocnění: National Natural Science Foundation of China
Sample-based Prophet for Online Ride-sharing with Fairness
B Li, E Wang, F Yang, Y Yang, W Liu, Z Tian, J Liu, W Zheng
2022 18th International Conference on Mobility, Sensing and Networking (MSN …, 2022
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
Error control strategy in ultrasonic Body Area Networks
W Liu, Y Yang, F Wang, E Wang
China Communications 13 (11), 244-259, 2016
Zplnomocnění: National Natural Science Foundation of China
Caching Video by Distributed Multi-agent Reinforcement Learning
L Fang, W Liu, E Wang, F Yang
2024 4th International Conference on Neural Networks, Information and …, 2024
Zplnomocnění: National Natural Science Foundation of China
Dostupné někde: 25
An efficient prediction-based user recruitment for mobile crowdsensing
E Wang, Y Yang, J Wu, W Liu, X Wang
IEEE Transactions on Mobile Computing 17 (1), 16-28, 2017
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
Dynamic user recruitment with truthful pricing for mobile crowdsensing
W Liu, Y Yang, E Wang, J Wu
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1113-1122, 2020
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
Reinforcement learning-based cell selection in sparse mobile crowdsensing
W Liu, L Wang, E Wang, Y Yang, D Zeghlache, D Zhang
Computer Networks 161, 102-114, 2019
Zplnomocnění: National Natural Science Foundation of China
User recruitment for enhancing data inference accuracy in sparse mobile crowdsensing
W Liu, Y Yang, E Wang, J Wu
IEEE Internet of Things Journal 7 (3), 1802-1814, 2019
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
Cell selection with deep reinforcement learning in sparse mobile crowdsensing
L Wang, W Liu, D Zhang, Y Wang, E Wang, Y Yang
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
Zplnomocnění: National Natural Science Foundation of China
Informace o publikování a financování jsou automaticky vybírány počítačovým programem