World's Best Scientists 2026 revealed!
Yongming Huang

Yongming Huang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
14384
World Ranking
1842
National Ranking
315

Overview

Yongming Huang is affiliated with Southeast University in China, specializing in engineering and computer science with a strong focus on electrical and electronic engineering and computer networks and communications. Their research encompasses a broad range of subfields including aerospace engineering, artificial intelligence, and signal processing.

Their work extensively covers advanced topics in wireless communication technologies. Key research areas include:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Millimeter-Wave Propagation and Modeling
  • Cooperative Communication and Network Coding
  • Advanced Wireless Communication Techniques
  • Energy Harvesting in Wireless Networks
  • Antenna Design and Optimization

Yongming Huang has contributed to numerous publications within reputable venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • IEEE Wireless Communications Letters
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology

Frequent collaborations have been established with researchers including Xiaohu You, Shengheng Liu, Cheng Zhang, Chuan Zhang, and Lüxi Yang, each coauthoring multiple papers alongside Huang.

Key recent papers illustrating the scope and impact of Huang's work include:

  • "Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts" (2020, Science China Information Sciences)
  • "On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds" (2023, IEEE Communications Surveys & Tutorials)
  • "Power Efficient IRS-Assisted NOMA" (2020, IEEE Transactions on Communications)
  • "Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation" (2021, arXiv (Cornell University))
  • "ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps" (2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV))

The breadth of research topics and publication venues indicates a strong interdisciplinary approach, integrating communication systems with emerging technologies in artificial intelligence and computational methods. The frequent participation in both theoretical and applied research contexts is reflected in multiple papers addressing fundamental challenges and innovations in wireless communication networks.

Best Publications

  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

    Xiaohu You;Cheng-Xiang Wang;Jie Huang;Xiqi Gao

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

  • BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

    Hao Chen;Kunyang Sun;Zhi Tian;Chunhua Shen

  • On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems

    Jianyue Zhu;Jiaheng Wang;Yongming Huang;Shiwen He

  • Coordinated Beamforming for Energy Efficient Transmission in Multicell Multiuser Systems

    Shiwen He;Yongming Huang;Shi Jin;Luxi Yang

  • Power Efficient IRS-Assisted NOMA

    Jianyue Zhu;Yongming Huang;Jiaheng Wang;Keivan Navaie

  • Performance Analysis of Multi-Antenna Hybrid Satellite-Terrestrial Relay Networks in the Presence of Interference

    Kang An;Min Lin;Tao Liang;Jun-Bo Wang

  • Distributed Multicell Beamforming With Limited Intercell Coordination

    Yongming Huang;Gan Zheng;M Bengtsson;Kai-Kit Wong

  • Codebook-Based Hybrid Precoding for Millimeter Wave Multiuser Systems

    Shiwen He;Jiaheng Wang;Yongming Huang;Bjorn Ottersten

  • Coordinated Multicell Multiuser Precoding for Maximizing Weighted Sum Energy Efficiency

    Shiwen He;Yongming Huang;Luxi Yang;Bjorn Ottersten

  • Outage Performance of Cognitive Hybrid Satellite–Terrestrial Networks With Interference Constraint

    Kang An;Min Lin;Wei-Ping Zhu;Yongming Huang

  • Codebook Design for Beam Alignment in Millimeter Wave Communication Systems

    Jianjun Zhang;Yongming Huang;Qingjiang Shi;Jiaheng Wang

  • Power-Efficient Communication in UAV-Aided Wireless Sensor Networks

    Meng Hua;Yi Wang;Zhengming Zhang;Chunguo Li

  • Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation

    Chunmei Xu;Shengheng Liu;Zhaohui Yang;Yongming Huang

  • Signal Processing for MIMO-NOMA: Present and Future Challenges

    Yongming Huang;Cheng Zhang;Jiaheng Wang;Yindi Jing

  • Robust Secure Beamforming for 5G Cellular Networks Coexisting With Satellite Networks

    Zhi Lin;Min Lin;Jun-Bo Wang;Yongming Huang

  • Energy-Efficient Cooperative Secure Transmission in Multi-UAV-Enabled Wireless Networks

    Meng Hua;Yi Wang;Qingqing Wu;Haibo Dai

  • An Overview on the Application of Graph Neural Networks in Wireless Networks

    Shiwen He;Shaowen Xiong;Yeyu Ou;Jian Zhang

  • On Massive MIMO Zero-Forcing Transceiver Using Time-Shifted Pilots

    Shi Jin;Xiaoyu Wang;Zheng Li;Kai-Kit Wong

  • Pilot Design Schemes for Sparse Channel Estimation in OFDM Systems

    Chenhao Qi;Guosen Yue;Lenan Wu;Yongming Huang

  • Accelerated Structure-Aware Sparse Bayesian Learning for Three-Dimensional Electrical Impedance Tomography

    Shengheng Liu;Hancong Wu;Yongming Huang;Yunjie Yang

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

Frequent Co-Authors

Luxi Yang
Luxi Yang Southeast University
Shi Jin
Shi Jin Southeast University
Ming Xiao
Ming Xiao Royal Institute of Technology
Yindi Jing
Yindi Jing University of Alberta
Min Lin
Min Lin Nanjing University of Posts and Telecommunications
Xiaohu You
Xiaohu You Southeast University
Ju Ren
Ju Ren Tsinghua University
Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Wei-Ping Zhu
Wei-Ping Zhu Concordia University
Yongpeng Wu
Yongpeng Wu Shanghai Jiao Tong University

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