Cikkek nyilvánosan hozzáférhető megbízással - Jiawen KangTovábbi információ
Sehol sem hozzáférhető: 52
MixGroup: Accumulative pseudonym exchanging for location privacy enhancement in vehicular social networks
R Yu, J Kang, X Huang, S Xie, Y Zhang, S Gjessing
IEEE Transactions on Dependable and Secure Computing 13 (1), 93-105, 2015
Megbízások: National Natural Science Foundation of China
Cloud/edge computing service management in blockchain networks: Multi-leader multi-follower game-based ADMM for pricing
Z Xiong, J Kang, D Niyato, P Wang, HV Poor
IEEE Transactions on Services computing 13 (2), 356-367, 2019
Megbízások: US National Science Foundation, Natural Sciences and Engineering Research …
Machine learning-powered encrypted network traffic analysis: A comprehensive survey
M Shen, K Ye, X Liu, L Zhu, J Kang, S Yu, Q Li, K Xu
IEEE Communications Surveys & Tutorials 25 (1), 791-824, 2022
Megbízások: National Natural Science Foundation of China
UAV-assisted wireless energy and data transfer with deep reinforcement learning
Z Xiong, Y Zhang, WYB Lim, J Kang, D Niyato, C Leung, C Miao
IEEE transactions on cognitive communications and networking 7 (1), 85-99, 2020
Megbízások: National Natural Science Foundation of China, A*Star, Singapore, National …
Optimizing Task Assignment for Reliable Blockchain-Empowered Federated Edge Learning
J Kang, Z Xiong, X Li, Z Yang, D Niyato, C Leung, C Miao
IEEE Transactions on Vehicular Technology, 2021
Megbízások: National Natural Science Foundation of China, A*Star, Singapore, National …
NOMA-enabled cooperative computation offloading for blockchain-empowered Internet of Things: A learning approach
Z Li, M Xu, J Nie, J Kang, W Chen, S Xie
IEEE Internet of Things Journal 8 (4), 2364-2378, 2020
Megbízások: National Natural Science Foundation of China
Federated transfer learning with client selection for intrusion detection in mobile edge computing
Y Cheng, J Lu, D Niyato, B Lyu, J Kang, S Zhu
IEEE Communications Letters 26 (3), 552-556, 2022
Megbízások: National Natural Science Foundation of China
DRL-based adaptive sharding for blockchain-based federated learning
Y Lin, Z Gao, H Du, J Kang, D Niyato, Q Wang, J Ruan, S Wan
IEEE Transactions on Communications 71 (10), 5992-6004, 2023
Megbízások: National Natural Science Foundation of China, National Research Foundation …
When moving target defense meets attack prediction in digital twins: A convolutional and hierarchical reinforcement learning approach
T Zhang, C Xu, Y Lian, H Tian, J Kang, X Kuang, D Niyato
IEEE Journal on Selected Areas in Communications 41 (10), 3293-3305, 2023
Megbízások: National Natural Science Foundation of China, National Research Foundation …
Constrained multi-objective optimization for UAV-enabled mobile edge computing: Offloading optimization and path planning
C Peng, X Huang, Y Wu, J Kang
IEEE Wireless Communications Letters 11 (4), 861-865, 2022
Megbízások: National Natural Science Foundation of China
Blockchains for artificial intelligence of things: A comprehensive survey
M Shen, A Gu, J Kang, X Tang, X Lin, L Zhu, D Niyato
IEEE Internet of Things Journal 10 (16), 14483-14506, 2023
Megbízások: National Natural Science Foundation of China, National Research Foundation …
Secure and trusted collaborative learning based on blockchain for artificial intelligence of things
X Tang, L Zhu, M Shen, J Peng, J Kang, D Niyato, AA Abd El-Latif
IEEE Wireless Communications 29 (3), 14-22, 2022
Megbízások: National Natural Science Foundation of China, National Research Foundation …
QoE analysis and resource allocation for wireless metaverse services
Y Jiang, J Kang, X Ge, D Niyato, Z Xiong
IEEE Transactions on Communications 71 (8), 4735-4750, 2023
Megbízások: National Natural Science Foundation of China, National Research Foundation …
UAV-assisted dynamic avatar task migration for vehicular metaverse services: A multi-agent deep reinforcement learning approach
J Kang, J Chen, M Xu, Z Xiong, Y Jiao, L Han, D Niyato, Y Tong, S Xie
IEEE/CAA Journal of Automatica Sinica 11 (2), 430-445, 2024
Megbízások: National Natural Science Foundation of China, National Research Foundation …
Secure semantic communications: Challenges, approaches, and opportunities
M Shen, J Wang, H Du, D Niyato, X Tang, J Kang, Y Ding, L Zhu
IEEE Network 38 (4), 197-206, 2023
Megbízások: National Natural Science Foundation of China, National Research Foundation …
Through the wall detection and localization of autonomous mobile device in indoor scenario
J Wang, H Du, D Niyato, M Zhou, J Kang, Z Xiong, A Jamalipour
IEEE Journal on Selected Areas in Communications 42 (1), 161-176, 2023
Megbízások: National Natural Science Foundation of China, National Research Foundation …
Federated split learning with data and label privacy preservation in vehicular networks
M Wu, G Cheng, D Ye, J Kang, R Yu, Y Wu, M Pan
IEEE Transactions on Vehicular Technology 73 (1), 1223-1238, 2023
Megbízások: US National Science Foundation, National Natural Science Foundation of China
A hierarchical pseudonyms management approach for software-defined vehicular networks
X Huang, J Kang, R Yu, M Wu, Y Zhang, S Gjessing
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 1-5, 2016
Megbízások: National Natural Science Foundation of China, Research Council of Norway
Snowball: Energy efficient and accurate federated learning with coarse-to-fine compression over heterogeneous wireless edge devices
P Li, G Cheng, X Huang, J Kang, R Yu, Y Wu, M Pan, D Niyato
IEEE Transactions on Wireless Communications 22 (10), 6778-6792, 2023
Megbízások: US National Science Foundation, National Natural Science Foundation of China …
Heterogeneous data-aware federated learning for intrusion detection systems via meta-sampling in artificial intelligence of things
W Han, J Peng, J Yu, J Kang, J Lu, D Niyato
IEEE Internet of Things Journal 11 (8), 13340-13354, 2023
Megbízások: National Natural Science Foundation of China
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