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Minghui Liwang (李王明卉)
Minghui Liwang (李王明卉)
Assistant Professor, Dept. of Info. & Commun. Eng., Xiamen University
Verified email at xmu.edu.cn - Homepage
Title
Cited by
Cited by
Year
A novel retinex based approach for image enhancement with illumination adjustment
X Fu, Y Sun, M LiWang, Y Huang, XP Zhang, X Ding
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
1012014
A truthful reverse-auction mechanism for computation offloading in cloud-enabled vehicular network
M Liwang, S Dai, Z Gao, Y Tang, H Dai
IEEE Internet of Things Journal 6 (3), 4214-4227, 2018
792018
Multiagent DDPG-based joint task partitioning and power control in fog computing networks
Z Cheng, M Min, M Liwang, L Huang, Z Gao
IEEE Internet of Things Journal 9 (1), 104-116, 2021
502021
Optimal cooperative relaying and power control for IoUT networks with reinforcement learning
Y Su, M Liwang, Z Gao, L Huang, X Du, M Guizani
IEEE Internet of Things Journal 8 (2), 791-801, 2020
502020
A computation offloading incentive mechanism with delay and cost constraints under 5G satellite-ground IoV architecture
M LiWang, S Dai, Z Gao, X Du, M Guizani, H Dai
IEEE Wireless Communications 26 (4), 124-132, 2019
482019
Energy-efficient caching for mobile edge computing in 5G networks
Z Luo, M LiWang, Z Lin, L Huang, X Du, M Guizani
Applied sciences 7 (6), 557, 2017
482017
Game theory based opportunistic computation offloading in cloud-enabled IoV
M Liwang, J Wang, Z Gao, X Du, M Guizani
Ieee Access 7, 32551-32561, 2019
462019
Allocation of computation-intensive graph jobs over vehicular clouds in IoV
M LiWang, S Hosseinalipour, Z Gao, Y Tang, L Huang, H Dai
IEEE Internet of Things Journal 7 (1), 311-324, 2019
452019
Let’s Trade in The Future! A Futures-Enabled Fast Resource Trading Mechanism in Edge Computing-Assisted UAV Networks
M Liwang, Z Gao, X Wang
IEEE Journal on Selected Areas in Communications 39 (11), 3252-3270, 2021
312021
Deep reinforcement learning-based joint task and energy offloading in UAV-aided 6G intelligent edge networks
Z Cheng, M Liwang, N Chen, L Huang, X Du, M Guizani
Computer Communications 192, 234-244, 2022
232022
Intelligent Task Offloading and Energy Allocation in the UAV-Aided Mobile Edge-Cloud Continuum
C Zhipeng, G Zhibin, L Minghui, H Lianfen, D Xiaojiang, G Mohsen
IEEE Network 35 (5), 42 - 49, 2021
232021
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks
Z Gao, M Liwang, S Hosseinalipour, H Dai, X Wang
IEEE Transactions on Mobile Computing 21 (10), 3455-3469, 2021
212021
An adaptive computation offloading mechanism for mobile health applications
S Dai, ML Wang, Z Gao, L Huang, X Du, M Guizani
IEEE Transactions on Vehicular Technology 69 (1), 998-1007, 2019
172019
Green communications for future vehicular networks: Data compression approaches, opportunities, and challenges
Y Su, M LiWang, L Huang, X Du, N Guizani
IEEE Network 34 (6), 184-190, 2020
162020
Multi-task offloading over vehicular clouds under graph-based representation
M LiWang, Z Gao, S Hosseinalipour, H Dai
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020
152020
Hybrid quantum-behaved particle swarm optimization for mobile-edge computation offloading in internet of things
S Dai, M Liwang, Y Liu, Z Gao, L Huang, X Du
Mobile Ad-hoc and Sensor Networks: 13th International Conference, MSN 2017 …, 2018
152018
Resource Trading in Edge Computing-enabled IoV: An Efficient Futures-based Approach
M Liwang, R Chen, X Wang
IEEE Transactions on Services Computing, 1-1, 2021
142021
Optimal position planning of UAV relays in UAV-assisted vehicular networks
Y Su, M LiWang, S Hosseinalipour, L Huang, H Dai
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
122021
Coexistence of cellular V2X and Wi-Fi over unlicensed spectrum with reinforcement learning
Y Su, M LiWang, Z Gao, L Huang, S Liu, X Du
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
112020
RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds
Z Liu, M Liwang, S Hosseinalipour, H Dai, Z Gao
IEEE Transactions on Vehicular Technology 72 (9), 3397-3411, 2023
102023
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