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 | 1539 | 2021 |
Exploring user perspectives on chatgpt: Applications, perceptions, and implications for ai-integrated education RH Mogavi, C Deng, JJ Kim, P Zhou, YD Kwon, AHS Metwally, A Tlili, ... arXiv preprint arXiv:2305.13114, 2023 | 58 | 2023 |
Multipath computation offloading for mobile augmented reality T Braud, P Zhou, J Kangasharju, P Hui 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 55 | 2020 |
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 | 52 | 2021 |
ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions RH Mogavi, C Deng, JJ Kim, P Zhou, YD Kwon, AHS Metwally, A Tlili, ... Computers in Human Behavior: Artificial Humans 2 (1), 100027, 2024 | 48 | 2024 |
DeCloud: Truthful decentralized double auction for edge clouds A Zavodovski, S Bayhan, N Mohan, P Zhou, W Wong, J Kangasharju IEEE ICDCS 2019, 2157-2167, 2019 | 44 | 2019 |
What is the metaverse? an immersive cyberspace and open challenges LH Lee, P Zhou, T Braud, P Hui arXiv preprint arXiv:2206.03018, 2022 | 43* | 2022 |
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 | 42 | 2018 |
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 | 36 | 2019 |
Unleashing GPT on the Metaverse: Savior or Destroyer? P Zhou arXiv preprint arXiv:2303.13856, 2023 | 31 | 2023 |
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 23 (11), 22505-22518, 2022 | 31* | 2022 |
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 | 31 | 2020 |
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 | 30 | 2019 |
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 | 30 | 2018 |
Vetaverse: A survey on the intersection of Metaverse, vehicles, and transportation systems P Zhou, J Zhu, Y Wang, Y Lu, Z Wei, H Shi, Y Ding, Y Gao, Q Huang, ... arXiv preprint arXiv:2210.15109, 2022 | 28 | 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 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 24 | 2022 |
5G MEC Computation Handoff for Mobile Augmented Reality P Zhou, S Fu, B Finley, X Li, S Tarkoma, J Kangasharju, M Ammar, P Hui IEEE MetaCom, 2024 | 23* | 2024 |
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 | 21 | 2017 |
FedACK: Federated adversarial contrastive knowledge distillation for cross-lingual and cross-model social bot detection Y Yang, R Yang, H Peng, Y Li, T Li, Y Liao, P Zhou Proceedings of the ACM Web Conference 2023, 1314-1323, 2023 | 17 | 2023 |
Loss tolerant federated learning P Zhou, P Fang, P Hui arXiv preprint arXiv:2105.03591, 2021 | 16 | 2021 |