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Keywords

Network Traffic Engineering, Wireless Resource Allocation, Reinforcement Learning

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Canada

Biography

Yang Xiao (S'20-M'24) received the B.E. (Hons.) and Ph.D. (Hons.) degrees in information and communication engineering from Beijing University of Posts and Telecommunications (BUPT) in 2019 and 2024, respectively. He is currently a Postdoctoral Scholar with the David R. Cheriton School of Computer Science, University of Waterloo. He is a recipient of the National Scholarship for Doctoral Students in China. His research interests include network traffic engineering, wireless resource management, and deep reinforcement learning. He has authored over ten papers in high-quality IEEE journals and conferences including IEEE Communications Surveys and Tutorials, IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, IEEE Communications Letters, IEEE ICC, IEEE GLOBECOM, and IEEE WCNC.

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Education and qualifications (2)

Beijing University of Posts and Telecommunications: Beijing, CN

2019-09-01 to 2024-06-30 | Doctor of Philosophy (School of Artificial Intelligence)
Education
Source: Self-asserted source
Yang Xiao

Beijing University of Posts and Telecommunications: Beijing, CN

2015-09-01 to 2019-06-30 | Bachelor of Engineering (School of Information and Communication Engineering)
Education
Source: Self-asserted source
Yang Xiao

Works (14)

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

IEEE Internet of Things Journal
2025-02-15 | Journal article
DOI: 10.1109/JIOT.2024.3485119
Contributors: Yuqian Song; Yang Xiao; Jun Liu
Source: check_circle
Crossref

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

IEEE Transactions on Mobile Computing
2024 | Journal article
DOI: 10.1109/TMC.2024.3521247
Contributors: Yang Xiao; Huihan Yu; Ying Yang; Yixing Wang; Jun Liu; Nirwan Ansari
Source: check_circle
Crossref

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

IEEE Transactions on Wireless Communications
2024 | Journal article
DOI: 10.1109/TWC.2023.3335597
Contributors: Yang Xiao; Yuqian Song; Jun Liu
Source: check_circle
Crossref

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

IEEE Transactions on Mobile Computing
2024-11 | Journal article
DOI: 10.1109/TMC.2024.3379191
Contributors: Yang Xiao; Ying Yang; Huihan Yu; Jun Liu
Source: check_circle
Crossref

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

IEEE Transactions on Wireless Communications
2023 | Journal article
DOI: 10.1109/TWC.2022.3233853
Contributors: Yang Xiao; Yuqian Song; Jun Liu
Source: check_circle
Crossref

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

IEEE Communications Letters
2023-01 | Journal article
DOI: 10.1109/LCOMM.2022.3211342
Contributors: Yang Xiao; Jianxue Li; Jiawei Wu; Jun Liu
Source: check_circle
Crossref

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

ICC 2022 - IEEE International Conference on Communications
2022-05-16 | Conference paper
DOI: 10.1109/icc45855.2022.9838659
Contributors: Yang Xiao
Source: Self-asserted source
Yang Xiao

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

2022 IEEE Wireless Communications and Networking Conference (WCNC)
2022-04-10 | Conference paper
DOI: 10.1109/wcnc51071.2022.9771887
Contributors: Yang Xiao
Source: Self-asserted source
Yang Xiao

Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey

IEEE Communications Surveys & Tutorials
2021 | Journal article
DOI: 10.1109/COMST.2021.3102580
Contributors: Yang Xiao; Jun Liu; Jiawei Wu; Nirwan Ansari
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

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

2021 IEEE Global Communications Conference (GLOBECOM)
2021-12 | Conference paper
DOI: 10.1109/globecom46510.2021.9685145
Source: Self-asserted source
Yang Xiao

Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)
2021-11-17 | Conference paper
DOI: 10.1109/ic-nidc54101.2021.9660491
Source: Self-asserted source
Yang Xiao

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

IEEE Communications Letters
2021-08 | Journal article
DOI: 10.1109/lcomm.2021.3079920
Part of ISSN: 1089-7798
Part of ISSN: 1558-2558
Part of ISSN: 2373-7891
Source: Self-asserted source
Yang Xiao
grade
Preferred source (of 2)‎

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Book
DOI: 10.1007/978-3-030-38651-1_7
EID:

2-s2.0-85079105776
Contributors: Liu, J.; Xiao, Y.; Wu, J.
Source: Self-asserted source
Yang Xiao via Scopus - Elsevier

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

Computer Communications
2020 | Journal article
DOI: 10.1016/j.comcom.2020.02.014
EID:

2-s2.0-85079093057
Contributors: Liu, J.; Tian, Y.; Zhou, Y.; Xiao, Y.; Ansari, N.
Source: Self-asserted source
Yang Xiao via Scopus - Elsevier
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