Seuraa
Pengyuan Zhou
Pengyuan Zhou
Research Associate Professor at USTC
Vahvistettu sähköpostiosoite verkkotunnuksessa ustc.edu.cn - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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, ...
arXiv preprint arXiv:2110.05352, 2021
3602021
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
342019
Multipath computation offloading for mobile augmented reality
B Tristan, P Zhou, K Jussi, P HUI
IEEE Percom 2020, 2020
30*2020
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
282018
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
262019
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
222018
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
212019
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
212017
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
202020
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, 2021
192021
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
152021
AICP: Augmented Informative Cooperative Perception
P Zhou, P Kortoçi, YP Yau, B Finley, X Wang, T Braud, LH Lee, S Tarkoma, ...
IEEE Transactions on Intelligent Transportation Systems, 2022
10*2022
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
92019
Edgexar: A 6-dof camera multi-target interactionframework for mar with user-friendly latencycompensation using edge computing
W Zhang, S Lin, F Bijarbooneh, HF Cheng, T Braud, P Zhou, LH Lee, ...
Proceedings of the ACM on HCI (Engineering Interactive Computing Systems), 2022
5*2022
Are You Left Out? An Efficient and Fair Federated Learning for Personalized Profiles on Wearable Devices of Inferior Networking Conditions
P Zhou, H Xu, LH Lee, P Fang, P Hui
ACM Ubicomp 2022, 2022
52022
Loss Tolerant Federated Learning
P Zhou, P Fang, P Hui
arXiv preprint arXiv:2105.03591, 2021
42021
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
32020
FRAS: Federated Reinforcement Learning empowered Adaptive Point Cloud Video Streaming
Y Gao, Z Liu, B Han, P Hui, P Zhou
arXiv preprint arXiv:2207.07394, 2022
22022
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
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Artikkelit 1–20