Pengyuan Zhou
Pengyuan Zhou
Research Associate Professor at USTC
Verified email at ustc.edu.cn - Homepage
Title
Cited by
Cited by
Year
Anveshak: Placing edge servers in the wild
N Mohan, A Zavodovski, P Zhou, J Kangasharju
Proceedings of the 2018 Workshop on Mobile Edge Communications, 7-12, 2018
182018
Managing data in computational edge clouds
N Mohan, P Zhou, K Govindaraj, J Kangasharju
Proceedings of the Workshop on Mobile Edge Communications, 19-24, 2017
182017
ERL: Edge based reinforcement learning for optimized urban traffic light control
P Zhou, T Braud, A Alhilal, P Hui, J Kangasharju
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
162019
Arve: Augmented reality applications in vehicle to edge networks
P Zhou, W Zhang, T Braud, P Hui, J Kangasharju
Proceedings of the 2018 Workshop on Mobile Edge Communications, 25-30, 2018
162018
DeCloud: Truthful decentralized double auction for edge clouds
A Zavodovski, S Bayhan, N Mohan, P Zhou, W Wong, J Kangasharju
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
132019
Enhanced augmented reality applications in vehicle-to-edge networks
P Zhou, W Zhang, T Braud, P Hui, J Kangasharju
2019 22nd Conference on Innovation in Clouds, Internet and Networks and …, 2019
132019
Multipath computation offloading for mobile augmented reality
B Tristan, P Zhou, K Jussi, P HUI
2020 IEEE International Conference on Pervasive Computing and Communications …, 2020
122020
Container deployment strategy for edge networking
W Wong, A Zavodovski, P Zhou, J Kangasharju
Proceedings of the 4th Workshop on Middleware for Edge Clouds & Cloudlets, 1-6, 2019
62019
Edge-facilitated Augmented Vision in Vehicle-to-Everything Networks
P Zhou, T Braud, A Zavodovski, Z Liu, X Chen, P Hui, J Kangasharju
IEEE Transactions on Vehicular Technology, 2020
42020
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV
P Zhou, X Chen, Z Liu, T Braud, P Hui, J Kangasharju
IEEE Transactions on Intelligent Transportation Systems, 2020
22020
Bricklayer: Resource Composition on the Spot Market
W Wong, L Corneo, A Zavodovski, P Zhou, N Mohan, J Kangasharju
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020
22020
Grouping computational data in resource caches of edge-fog cloud
N Mohan, P Zhou, K Govindaraj, J Kangasharju
Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms, 1-2, 2017
22017
Profiling and grouping users to edge resources according to user interest similarity
P Zhou, J Kangasharju
Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, 43-48, 2016
22016
Augmented Informative Cooperative Perception
P Zhou, P Kortoci, YP Yau, T Braud, X Wang, B Finley, LH Lee, S Tarkoma, ...
arXiv preprint arXiv:2101.05508, 2021
12021
5G MEC Computation Handoff for Mobile Augmented Reality
P Zhou, B Finley, X Li, S Tarkoma, J Kangasharju, M Ammar, P Hui
arXiv preprint arXiv:2101.00256, 2021
12021
Evaluating transport protocols on 5g for mobile augmented reality
J Cao, X Su, B Finley, P Zhou, P Hui
arXiv preprint arXiv:2006.02859, 2020
12020
The Inter-Datacenter Connection in SDN and Traditional Hybrid Network
SQ Hu, PY Zhou, JF Wang
Advanced Materials Research 915, 1418-1423, 2014
12014
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda
LH Lee, T Braud, P Zhou, L Wang, D Xu, Z Lin, A Kumar, C Bermejo, ...
2021
Loss Tolerant Federated Learning
P Zhou, P Fang, P Hui
arXiv preprint arXiv:2105.03591, 2021
2021
Edge-Facilitated Mobile Computing and Communication
P Zhou
Helsingin yliopisto, 2020
2020
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