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ORCIDYang Xiao 0013
Person information
- affiliation: Beijing University of Posts and Telecommunications, School of Artificial Intelligence, China
Other persons with the same name
- Yang Xiao — disambiguation page
- Yang Xiao 0001
![[0000-0001-8549-6794]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8549-6794")
— University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA (and 1 more) - Yang Xiao 0002 — Synopsys, Mountain View, CA, USA (and 1 more)
- Yang Xiao 0003 — Arizona State University, Tempe, USA
- Yang Xiao 0004 — Beijing Jiaotong University, Institute of Information Science, China
- Yang Xiao 0005 — Xidian Univ., Xian, China
- Yang Xiao 0006 — Naval Aeronautical and Astronautical Engineering University, Yantai, China
- Yang Xiao 0007 — Huazhong University of Science and Technology, National Key Laboratory of Science and Technology on Multispectral Information Processing, Wuhan, China (and 1 more)
- Yang Xiao 0008 — University of York, Heslington, York, UK
- Yang Xiao 0009 — University of Gustave Eiffel, LIGM, CNRS, Ecole des Ponts, France
- Yang Xiao 0010 — University of Kentucky, Department of Computer Science, Lexington, KY, USA (and 1 more)
- Yang Xiao 0011 — Chinese Academy of Sciences, Institute of Information Engineering, School of Cyber Security, Beijing, China
- Yang Xiao 0012 — Chinese Academy of Sciences, Institute of Biomedical and Health Engineering, Shenzhen, China (and 1 more)
- Yang Xiao 0014 — Xidian University, State Key Laboratory of Integrated Services Networks School of Cyber Engineering, China
- Yang Xiao 0015 — City University of Hong Kong, School of Energy and Environment, Hong Kong (and 1 more)
- Yang Xiao 0016 — Chongqing University of Posts and Telecommunications, (and 1 more)
- Yang Xiao 0017 — University of Chinese Academy of Sciences, School of Computer Science and Technology, Beijing, China (and 1 more)
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2020 – today
- 2024
[j7]Yang Xiao, Ying Yang, Huihan Yu, Jun Liu:
Scalable QoS-Aware Multipath Routing in Hybrid Knowledge-Defined Networking With Multiagent Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 23(11): 10628-10646 (2024)- [j6]Yang Xiao, Yuqian Song, Jun Liu:
Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks. IEEE Trans. Wirel. Commun. 23(6): 6653-6668 (2024) - [c10]Xinyuan Li, Junze Li, Yang Xiao, Sixu Liu, Jun Liu:
CGTR: Leveraging Contrastive Learning and Graph Transformer for Deep Reinforcement Learning Based Robust Routing. ICC 2024: 472-478 - 2023
- [j5]Yang Xiao, Jianxue Li, Jiawei Wu, Jun Liu:
On Design and Implementation of Reinforcement Learning Based Cognitive Routing for Autonomous Networks. IEEE Commun. Lett. 27(1): 205-209 (2023) - [j4]Yang Xiao, Yuqian Song, Jun Liu:
Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things. IEEE Trans. Wirel. Commun. 22(8): 5414-5430 (2023) - [c9]Jiawei Chen, Yang Xiao, Guocheng Lin, Gang He, Fang Liu, Wenli Zhou, Jun Liu:
Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications. GLOBECOM 2023: 5208-5213 - [c8]Xinyuan Li, Yang Xiao, Sixu Liu, Xucong Lu, Fang Liu, Wenli Zhou, Jun Liu:
GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm. PIMRC 2023: 1-7 - 2022
- [c7]Yang Xiao, Yuqian Song, Jun Liu:
Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning. ICC 2022: 4056-4061 - [c6]Yuqian Song, Yang Xiao, Yaozhi Chen, Guanyu Li, Jun Liu:
Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication. PIMRC 2022: 313-319 - [c5]Jianxue Li, Yang Xiao, Jiawei Wu, Yaozhi Chen, Jun Liu:
Attentive Dual-Head Spatial-Temporal Generative Adversarial Networks for Crowd Flow Generation. PIMRC 2022: 800-806 - [c4]Huihan Yu, Yang Xiao, Jiawei Wu, Zilong He, Fang Liu, Jun Liu:
Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks. WCNC 2022: 1021-1026 - 2021
- [j3]Yang Xiao, Jun Liu, Jiawei Wu, Nirwan Ansari:
Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey. IEEE Commun. Surv. Tutorials 23(4): 2064-2097 (2021) - [j2]Jingfei Huang, Yang Yang, Gang He, Yang Xiao, Jun Liu:
Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks. IEEE Commun. Lett. 25(8): 2614-2618 (2021) - [c3]Yang Xiao, Jiawei Wu, Jun Liu:
Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach. GLOBECOM 2021: 1-6 - [c2]Jianxue Li, Yang Xiao, Jiawei Wu, Jialong Feng, Jun Liu:
Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network. IC-NIDC 2021: 235-239 - 2020
- [j1]Jun Liu, Yuan Tian, Yu Zhou, Yang Xiao, Nirwan Ansari:
Privacy preserving distributed data mining based on secure multi-party computation. Comput. Commun. 153: 208-216 (2020) - [i1]Jiawei Wu, Jianxue Li, Yang Xiao, Jun Liu:
Towards Cognitive Routing based on Deep Reinforcement Learning. CoRR abs/2003.12439 (2020)
2010 – 2019
Coauthor Index
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