Bowen Zhao
Orcid: 0000-0003-0752-1047Affiliations:
- Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China
According to our database1,
Bowen Zhao
authored at least 17 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
On Forecasting-Oriented Time Series Transmission: A Federated Semantic Communication System.
IEEE Trans. Mob. Comput., December, 2024
Adversarial Reinforcement Learning Based Data Poisoning Attacks Defense for Task-Oriented Multi-User Semantic Communication.
IEEE Trans. Mob. Comput., December, 2024
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification.
IEEE Trans. Cogn. Dev. Syst., August, 2024
IEEE Trans. Artif. Intell., August, 2024
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
2023
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing.
IEEE Trans. Mob. Comput., December, 2023
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Parallel Distributed Syst., August, 2023
Classification-Oriented Distributed Semantic Communication for Multivariate Time Series.
IEEE Signal Process. Lett., 2023
Proceedings of the 22nd IEEE International Conference on Trust, 2023
FedDistillSC: A Distributed Semantic Communication System Based on Federated Distillation.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
A Multi-user Deep Semantic Communication System based on Federated Learning with Dynamic Model Aggregation.
Proceedings of the IEEE International Conference on Communications, 2023
2022
An Efficient Federated Distillation Learning System for Multitask Time Series Classification.
IEEE Trans. Instrum. Meas., 2022
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification.
CoRR, 2022
2021
A federated learning system with enhanced feature extraction for human activity recognition.
Knowl. Based Syst., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021