World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
11102
World Ranking
2195
National Ranking
854

Overview

Huaiyu Dai is affiliated with North Carolina State University in the United States. Their academic work encompasses extensive research within the fields of computer science and engineering, with a significant focus on artificial intelligence and electrical and electronic engineering.

Their research contributions cover multiple subfields, including:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition

Huaiyu Dai's scholarly output often centers on topics such as:

  • Privacy-Preserving Technologies in Data
  • UAV Applications and Optimization
  • Stochastic Gradient Optimization Techniques
  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Wireless Communication Security Techniques
  • Vehicular Ad Hoc Networks (VANETs)

The scientist has published numerous papers in highly regarded venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Communications
  • IEEE Transactions on Information Forensics and Security

Some recent notable papers authored by Huaiyu Dai or in collaboration include:

  • "UAV-Aided Data Collection for Information Freshness in Wireless Sensor Networks," 2020, IEEE Transactions on Wireless Communications
  • "UAV-Aided Cellular Communications with Deep Reinforcement Learning Against Jamming," 2020, IEEE Wireless Communications
  • "Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks," 2022, IEEE/ACM Transactions on Networking
  • "Reinforcement Learning-Based Physical-Layer Authentication for Controller Area Networks," 2021, IEEE Transactions on Information Forensics and Security
  • "UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach," 2021, IEEE Transactions on Communications

Collaborative research is a significant aspect of their work. Frequent co-authors include:

  • Richeng Jin
  • Xiaofan He
  • Seyyedali Hosseinalipour
  • İsmail Güvenç
  • Arupjyoti Bhuyan

Best Publications

  • A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

    Imtiaz Parvez;Ali Rahmati;Ismail Guvenc;Arif I. Sarwat

  • Cochannel interference mitigation and cooperative processing in downlink multicell multiuser MIMO networks

    Hongyuan Zhang;Huaiyu Dai

  • Relay Selection for Cooperative NOMA

    Zhiguo Ding;Huaiyu Dai;H. Vincent Poor

  • Downlink capacity of interference-limited MIMO systems with joint detection

    Huaiyu Dai;A.F. Molisch;H.V. Poor

  • Randomized Differential DSSS: Jamming-Resistant Wireless Broadcast Communication

    Yao Liu;Peng Ning;Huaiyu Dai;An Liu

  • Asynchronous interference mitigation in cooperative base station systems

    Hongyuan Zhang;N.B. Mehta;A.F. Molisch;Jin Zhang

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

    Liang Xiao;Yanda Li;Canhuang Dai;Huaiyu Dai

  • Age-optimal trajectory planning for UAV-assisted data collection

    Juan Liu;Xijun Wang;Bo Bai;Huaiyu Dai

  • Authenticating Primary Users' Signals in Cognitive Radio Networks via Integrated Cryptographic and Wireless Link Signatures

    Yao Liu;Peng Ning;Huaiyu Dai

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

    Minghui Min;Xiaoyue Wan;Liang Xiao;Ye Chen

  • 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

  • UAV-Aided Data Collection for Information Freshness in Wireless Sensor Networks

    Juan Liu;Peng Tong;Xijun Wang;Bo Bai

  • Distributed Detection in Wireless Sensor Networks Using A Multiple Access Channel

    Wenjun Li;Huaiyu Dai

  • Distributed Spectrum-Aware Clustering in Cognitive Radio Sensor Networks

    Huazi Zhang;Zhaoyang Zhang;Huaiyu Dai;Rui Yin

  • From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

    Seyyedali Hosseinalipour;Christopher G. Brinton;Vaneet Aggarwal;Huaiyu Dai

  • Advanced signal processing for power line communications

    Huaiyu Dai;H.V. Poor

  • A Mobile Offloading Game Against Smart Attacks

    Liang Xiao;Caixia Xie;Tianhua Chen;Huaiyu Dai

  • UAV-Aided Cellular Communications with Deep Reinforcement Learning Against Jamming

    Xiaozhen Lu;Liang Xiao;Canhuang Dai;Huaiyu Dai

  • Mobile Crowdsensing Games in Vehicular Networks

    Liang Xiao;Tianhua Chen;Caixia Xie;Huaiyu Dai

  • Quickest spectrum sensing in cognitive radio

    Husheng Li;Chengzhi Li;Huaiyu Dai

Frequent Co-Authors

Peng Ning
Peng Ning Google (United States)
Ismail Guvenc
Ismail Guvenc North Carolina State University
Liang Xiao
Liang Xiao Xiamen University
Zhaoyang Zhang
Zhaoyang Zhang Zhejiang University
Hongyuan Zhang
Hongyuan Zhang Marvell (United States)
H. Vincent Poor
H. Vincent Poor Princeton University
Husheng Li
Husheng Li University of Tennessee at Knoxville
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Wei Chen
Wei Chen Tsinghua University
Xiaoming Chen
Xiaoming Chen Zhejiang University

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