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Computer Science

D-Index
56
Citations
11860
World Ranking
4098
National Ranking
543

Electronics and Electrical Engineering

D-Index
55
Citations
11555
World Ranking
2186
National Ranking
373

Overview

Liang Xiao is affiliated with Xiamen University in China and conducts research primarily in the fields of Engineering and Computer Science. Their work focuses on several specialized subfields, including Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Renewable Energy, Sustainability and the Environment, and Artificial Intelligence.

Their research topics cover a diverse range of areas such as UAV Applications and Optimization, Advanced Wireless Communication Technologies, Wireless Communication Security Techniques, Electrocatalysts for Energy Conversion, Catalytic Processes in Materials Science, Privacy-Preserving Technologies in Data, and Advanced Photocatalysis Techniques.

Recent significant papers authored or co-authored by Liang Xiao include:

  • Atomic-Level Modulation of Electronic Density at Cobalt Single-Atom Sites Derived from Metal-Organic Frameworks: Enhanced Oxygen Reduction Performance (2020) published in Angewandte Chemie International Edition
  • The Progress and Outlook of Metal Single-Atom-Site Catalysis (2022) published in Journal of the American Chemical Society
  • Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management (2021) published in IEEE Journal on Selected Areas in Communications
  • Lattice Strain and Schottky Junction Dual Regulation Boosts Ultrafine Ruthenium Nanoparticles Anchored on a N-Modified Carbon Catalyst for H2 Production (2022) published in Journal of the American Chemical Society
  • Lewis Acid Site-Promoted Single-Atomic Cu Catalyzes Electrochemical CO2 Methanation (2021) published in Nano Letters

Liang Xiao frequently collaborates with other researchers, including Dingsheng Wang, Helin Yang, Yadong Li, Xiaozhen Lu, and Zefang Lv. These collaborative efforts contribute to the multidisciplinary nature of their research endeavors.

The venues where Liang Xiao has published most extensively include IEEE Transactions on Vehicular Technology, Journal of the American Chemical Society, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and Angewandte Chemie International Edition.

Liang Xiao has also contributed to academic literature through book publications, including a work titled Reinforcement Learning for Maritime Communications published in 2023 by Springer International Publishing.

Best Publications

  • Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications

    Helin Yang;Zehui Xiong;Jun Zhao;Dusit Niyato

  • IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

    Liang Xiao;Xiaoyue Wan;Xiaozhen Lu;Yanyong Zhang

  • Learning-Based Computation Offloading for IoT Devices With Energy Harvesting

    Minghui Min;Liang Xiao;Ye Chen;Peng Cheng

  • Using the physical layer for wireless authentication in time-variant channels

    Liang Xiao;L. Greenstein;N. Mandayam;W. Trappe

  • Fingerprints in the Ether: Using the Physical Layer for Wireless Authentication

    Liang Xiao;L. Greenstein;N. Mandayam;W. Trappe

  • PHY-Layer Spoofing Detection with Reinforcement Learning in Wireless Networks

    Liang Xiao;Yan Li;Guoan Han;Guolong Liu

  • UAV Relay in VANETs Against Smart Jamming With Reinforcement Learning

    Liang Xiao;Xiaozhen Lu;Dongjin Xu;Yuliang Tang

  • Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

    Helin Yang;Jun Zhao;Zehui Xiong;Kwok-Yan Lam

  • Reinforcement Learning-Based NOMA Power Allocation in the Presence of Smart Jamming

    Liang Xiao;Yanda Li;Canhuang Dai;Huaiyu Dai

  • Security in Mobile Edge Caching with Reinforcement Learning

    Liang Xiao;Xiaoyue Wan;Canhuang Dai;Xiaojiang Du

  • Two-dimensional anti-jamming communication based on deep reinforcement learning

    Guoan Han;Liang Xiao;H. Vincent Poor

  • Learning-Based Privacy-Aware Offloading for Healthcare IoT With Energy Harvesting

    Minghui Min;Xiaoyue Wan;Liang Xiao;Ye Chen

  • Cloud-Based Malware Detection Game for Mobile Devices with Offloading

    Liang Xiao;Yanda Li;Xueli Huang;XiaoJiang Du

  • PHY-Layer Authentication With Multiple Landmarks With Reduced Overhead

    Liang Xiao;Xiaoyue Wan;Zhu Han

  • Channel-Based Detection of Sybil Attacks in Wireless Networks

    Liang Xiao;L.J. Greenstein;N.B. Mandayam;W. Trappe

  • Spectral efficiency of distributed antenna system with random antenna layout

    Hairuo Zhuang;Lin Dai;Liang Xiao;Yan Yao

  • Anti-Jamming Transmission Stackelberg Game With Observation Errors

    Liang Xiao;Tianhua Chen;Jinliang Liu;Huaiyu Dai

  • A Secure Mobile Crowdsensing Game With Deep Reinforcement Learning

    Liang Xiao;Yanda Li;Guoan Han;Huaiyu Dai

  • User-Centric View of Unmanned Aerial Vehicle Transmission Against Smart Attacks

    Liang Xiao;Caixia Xie;Minghui Min;Weihua Zhuang

  • Reinforcement Learning-Based Mobile Offloading for Edge Computing Against Jamming and Interference

    Liang Xiao;Xiaozhen Lu;Tangwei Xu;Xiaoyue Wan

  • Learning-Based Computation Offloading for IoT Devices with Energy Harvesting

    Minghui Min;Dongjin Xu;Liang Xiao;Yuliang Tang

Frequent Co-Authors

Narayan B. Mandayam
Narayan B. Mandayam Rutgers, The State University of New Jersey
H. Vincent Poor
H. Vincent Poor Princeton University
Huaiyu Dai
Huaiyu Dai North Carolina State University
Larry J. Greenstein
Larry J. Greenstein Rutgers, The State University of New Jersey
Weihua Zhuang
Weihua Zhuang University of Waterloo
Wade Trappe
Wade Trappe Rutgers, The State University of New Jersey
Mugen Peng
Mugen Peng Beijing University of Posts and Telecommunications
Peng Ning
Peng Ning Google (United States)
Yanyong Zhang
Yanyong Zhang University of Science and Technology of China
Xiaojiang Du
Xiaojiang Du Stevens Institute of Technology

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