Yang Cao

Orcid: 0000-0002-8061-4066

Affiliations:
  • Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
  • University of Electronic Science and Technology of China, UESTC, Chengdu, China (PhD 2023)


According to our database1, Yang Cao authored at least 16 papers between 2018 and 2025.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Toward Intelligent Non-Terrestrial Networks Through Symbiotic Radio: A Collaborative Deep Reinforcement Learning Scheme.
IEEE Netw., January, 2025

2024
Learning-Based Multitier Split Computing for Efficient Convergence of Communication and Computation.
IEEE Internet Things J., October, 2024

Multi-Tier Deep Reinforcement Learning for Non-Terrestrial Networks.
IEEE Wirel. Commun., June, 2024

Deep Learning-Empowered Semantic Communication Systems With a Shared Knowledge Base.
IEEE Trans. Wirel. Commun., June, 2024

Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach.
IEEE Trans. Wirel. Commun., May, 2024

2023
Collaborative Deep Reinforcement Learning for Resource Optimization in Non-Terrestrial Networks.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Semantic Communication Systems with a Shared Knowledge Base.
Proceedings of the IEEE International Conference on Communications, 2023

Efficient Communication-Computation Tradeoff for Split Computing: A Multi-Tier Deep Reinforcement Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2023

2022
User Access Control in Open Radio Access Networks: A Federated Deep Reinforcement Learning Approach.
IEEE Trans. Wirel. Commun., 2022

Semantic Communication for Remote Spectrum Sensing in Non-Terrestrial Networks.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021
Deep Reinforcement Learning For Multi-User Access Control in Non-Terrestrial Networks.
IEEE Trans. Commun., 2021

Multi-tier Collaborative Deep Reinforcement Learning for Non-terrestrial Network Empowered Vehicular Connections.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Federated Deep Reinforcement Learning for User Access Control in Open Radio Access Networks.
Proceedings of the ICC 2021, 2021

2019
Deep Reinforcement Learning for Multi-User Access Control in UAV Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Deep Reinforcement Learning for Channel and Power Allocation in UAV-enabled IoT Systems.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Deep Reinforcement Learning for User Access Control in UAV Networks.
Proceedings of the IEEE International Conference on Communication Systems, 2018


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