Yang Xiao

According to our database, Yang Xiao authored at least 22 papers between 2019 and 2025.

Collaborative distances:

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

2025

Adaptive Joint Routing and Caching in Knowledge-Defined Networking: An Actor-Critic Deep Reinforcement Learning Approach.

Yang Xiao, Huihan Yu, Ying Yang, Yixing Wang, Jun Liu, Nirwan Ansari

IEEE Trans. Mob. Comput., May, 2025

Enabling Adaptive Optimization of Energy Efficiency and Quality of Service in NR-V2X Communications via Multiagent Deep Reinforcement Learning.

Yuqian Song, Yang Xiao, Jun Liu

IEEE Internet Things J., 2025

2024

Scalable QoS-Aware Multipath Routing in Hybrid Knowledge-Defined Networking With Multiagent Deep Reinforcement Learning.

Yang Xiao, Ying Yang, Huihan Yu, Jun Liu

IEEE Trans. Mob. Comput., November, 2024

Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks.

Yang Xiao, Yuqian Song, Jun Liu

IEEE Trans. Wirel. Commun., June, 2024

CGTR: Leveraging Contrastive Learning and Graph Transformer for Deep Reinforcement Learning Based Robust Routing.

Xinyuan Li, Junze Li, Yang Xiao, Sixu Liu, Jun Liu

Proceedings of the IEEE International Conference on Communications, 2024

2023

Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things.

Yang Xiao, Yuqian Song, Jun Liu

IEEE Trans. Wirel. Commun., August, 2023

On Design and Implementation of Reinforcement Learning Based Cognitive Routing for Autonomous Networks.

Yang Xiao, Jianxue Li, Jiawei Wu, Jun Liu

IEEE Commun. Lett., January, 2023

GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm.

Xinyuan Li, Yang Xiao, Sixu Liu, Xucong Lu, Fang Liu, Wenli Zhou, Jun Liu

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

RL4NET++: A Packet-Level Network Simulation Framework for DRL-Based Routing Algorithms.

Jiawei Chen, Yang Xiao, Guocheng Lin

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications.

Jiawei Chen, Yang Xiao, Guocheng Lin, Gang He, Fang Liu, Wenli Zhou, Jun Liu

Proceedings of the IEEE Global Communications Conference, 2023

Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4.

Yixing Wang, Yang Xiao, Yuqian Song, Jingli Zhou, Jun Liu

Proceedings of the 19th International Conference on Network and Service Management, 2023

2022

Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks.

Huihan Yu, Yang Xiao, Jiawei Wu, Zilong He, Fang Liu, Jun Liu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication.

Yuqian Song, Yang Xiao, Yaozhi Chen, Guanyu Li, Jun Liu

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Attentive Dual-Head Spatial-Temporal Generative Adversarial Networks for Crowd Flow Generation.

Jianxue Li, Yang Xiao, Jiawei Wu, Yaozhi Chen, Jun Liu

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning.

Yang Xiao, Yuqian Song, Jun Liu

Proceedings of the IEEE International Conference on Communications, 2022

2021

Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks.

Jingfei Huang, Yang Yang, Gang He, Yang Xiao, Jun Liu

IEEE Commun. Lett., 2021

Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey.

Yang Xiao, Jun Liu, Jiawei Wu, Nirwan Ansari

IEEE Commun. Surv. Tutorials, 2021

Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network.

Jianxue Li, Yang Xiao, Jiawei Wu, Jialong Feng, Jun Liu

Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach.

Yang Xiao, Jiawei Wu, Jun Liu

Proceedings of the IEEE Global Communications Conference, 2021

2020

Towards Cognitive Routing based on Deep Reinforcement Learning.

Jiawei Wu, Jianxue Li, Yang Xiao, Jun Liu

CoRR, 2020

Privacy preserving distributed data mining based on secure multi-party computation.

Jun Liu, Yuan Tian, Yu Zhou, Yang Xiao, Nirwan Ansari

Comput. Commun., 2020

2019

From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving.

Jun Liu, Yang Xiao, Jiawei Wu

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019