Hao Yu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Resource Allocation

Combinatorial Auctions

Reinforcement Learning

Top Venues

IEEE Trans. Mob. Comput.

Publications

Fangzheng Liu, Hao Yu, Jiwei Huang, Tarik Taleb
Joint Service Migration and Resource Allocation in Edge IoT System Based on Deep Reinforcement Learning. IEEE Internet Things J. 11 (7) (2024)
Yu He, Guangjie Han, Aohan Li, Tarik Taleb, Chenyang Wang, Hao Yu
A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks. IEEE Trans. Mob. Comput. 23 (5) (2024)
Yan Chen, Yanjing Sun, Hao Yu, Tarik Taleb
Joint Task and Computing Resource Allocation in Distributed Edge Computing Systems via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Netw. Sci. Eng. 11 (4) (2024)
Hao Yu, Tarik Taleb, Konstantinos Samdanis, JaeSeung Song
Toward Supporting Holographic Services Over Deterministic 6G Integrated Terrestrial and Non-Terrestrial Networks. IEEE Netw. 38 (1) (2024)
Masoud Shokrnezhad, Hao Yu, Tarik Taleb, Richard Li, Kyunghan Lee, Jaeseung Song, Cédric Westphal
Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC). CoRR (2024)
Zhao Ming, Qize Guo, Hao Yu, Tarik Taleb
Deep Reinforcement Learning-Based Task Offloading Over In-Network Computing and Multi-Access Edge Computing. NaNA (2023)
Hao Yu, Zhao Ming, Chenyang Wang, Tarik Taleb
Network Slice Mobility for 6G Networks by Exploiting User and Network Prediction. ICC (2023)
Hao Yu, Masoud Shokrnezhad, Tarik Taleb, Richard Li, JaeSeung Song
Toward 6G-Based Metaverse: Supporting Highly-Dynamic Deterministic Multi-User Extended Reality Services. IEEE Netw. 37 (4) (2023)