Paul Zheng
Orcid: 0000-0001-8363-6925
According to our database1,
Paul Zheng authored at least 16 papers
between 2020 and 2026.
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Bibliography
2026
Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness.
CoRR, May, 2026
Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning.
CoRR, April, 2026
Performance Enhancement on Sparse Federated Learning Supported by RIS-Aided Communication in the Finite Blocklength Regime.
IEEE Trans. Mob. Comput., March, 2026
Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks.
IEEE Trans. Wirel. Commun., 2026
Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-Based Method With Bayesian Optimization.
IEEE Trans. Netw. Sci. Eng., 2026
2025
Multi-UAV-Enabled Cognitive Radio Networks: Joint UAV Deployment and Resource Allocation Design.
Proceedings of the 28th International Workshop on Smart Antennas, 2025
Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2025
2024
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Over-the-Air Federated Learning Client Selection in Integrated Sensing, Computing and Communication.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Performance Enhancement on Federated Learning Supported by RIS-Aided Communication in the FBL Regime.
Proceedings of the IEEE International Conference on Communications, 2024
2023
PENDANTSS: PEnalized Norm-Ratios Disentangling Additive Noise, Trend and Sparse Spikes.
IEEE Signal Process. Lett., 2023
2022
V2E Association and Resource Allocation via Deep Reinforcement Learning in MEC-based HetVNets.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
Data-driven Extreme Events Modeling for Vehicle Networks by Personalized Federated Learning: Invited Paper.
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022
2021
Multi-Device Low-Latency IoT Networks With Blind Retransmissions in the Finite Blocklength Regime.
IEEE Trans. Veh. Technol., 2021
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021
2020
Multi-Device Low-Latency Internet of Things Networks with Blind Retransmissions in the Finite Blocklength Regime.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020