Qunsong Zeng

Orcid: 0000-0002-0600-1229

According to our database1, Qunsong Zeng authored at least 16 papers between 2019 and 2024.

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Bibliography

2024
Realizing In-Memory Baseband Processing for Ultrafast and Energy-Efficient 6G.
IEEE Internet Things J., February, 2024

InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization.
CoRR, 2024

2023
Progressive Feature Transmission for Split Classification at the Wireless Edge.
IEEE Trans. Wirel. Commun., June, 2023

Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting.
CoRR, 2023

Communication-Efficient Vertically Split Inference via Over-the-Air Computation.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Communication-Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer.
IEEE Trans. Wirel. Commun., 2022

Progressive Transmission of High-Dimensional Data Features for Inference at the Network Edge.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

2021
Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing.
IEEE Trans. Wirel. Commun., 2021

Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission.
IEEE Trans. Wirel. Commun., 2021

What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence.
J. Commun. Inf. Networks, 2021

Progressive Feature Transmission for Split Inference at the Wireless Edge.
CoRR, 2021

Wirelessly Powered Federated Edge Learning.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

2020
Energy-Efficient Radio Resource Allocation for Federated Edge Learning.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning.
CoRR, 2019


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