Paul Zheng

Orcid: 0000-0001-8363-6925

According to our database1, Paul Zheng authored at least 16 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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
A Novel Link Adaptation Approach for URLLC: A DRL-Based Method with OLLA.
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

Federated Learning in Heterogeneous Networks with Unreliable Communication.
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


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