Chentao He

According to our database, Chentao He authored at least 7 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Timely-throughput Optimal Scheduling for Wireless Flows with Deep Reinforcement Learning.

Qi Wang, Chentao He, Katia Jaffrès-Runser, Jianhui Huang, Yongjun Xu

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

2021

MPRdeep: Multi-Objective Joint Optimal Node Positioning and Resource Allocation for FANETs with Deep Reinforcement learning.

Qi Wang, Jianmin Liu, Cunzhuang Liu, Jianhui Huang, Chentao He, Yongjun Xu

Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

INCdeep: Intelligent Network Coding with Deep Reinforcement Learning.

Qi Wang, Jianmin Liu, Katia Jaffrès-Runser, Yongqing Wang, Chentao He, Cunzhuang Liu, Yongjun Xu

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

MPDMAC-SIC: Priority-based distributed low delay MAC with successive interference cancellation for multi-hop industrial wireless networks.

Yida Xu, Qi Wang, Yongjun Xu, Jianmin Liu, Chentao He

Comput. Commun., 2020

QMR: Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks.

Jianmin Liu, Qi Wang, Chentao He, Katia Jaffrès-Runser, Yida Xu, Zhenyu Li, Yongjun Xu

Comput. Commun., 2020

ARdeep: Adaptive and Reliable Routing Protocol for Mobile Robotic Networks with Deep Reinforcement Learning.

Jianmin Liu, Qi Wang, Chentao He, Yongjun Xu

Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020

2019

PDMAC-SIC: Priority-based Distributed Low Delay MAC with Successive Interference Cancellation for Industrial Wireless Networks.

Yida Xu, Qi Wang, Jianmin Liu, Chentao He, Boyu Diao, Yongjun Xu

Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019