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Computer Science

D-Index
38
Citations
6346
World Ranking
10205
National Ranking
130

Overview

Jihong Park is affiliated with the Singapore University of Technology and Design in Singapore. Their research primarily spans across the fields of Computer Science and Engineering, with a significant focus on artificial intelligence and communication technologies.

Their work covers several subfields including:

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

The main research topics addressed by Jihong Park include:

  • Privacy-Preserving Technologies in Data
  • Wireless Signal Modulation Classification
  • Stochastic Gradient Optimization Techniques
  • Wireless Communication Security Techniques
  • UAV Applications and Optimization
  • Satellite Communication Systems
  • Age of Information Optimization

Jihong Park has published extensively, particularly in venues such as arXiv (Cornell University), where they have 84 publications. Other frequent publication venues with multiple contributions include:

  • IEEE Transactions on Communications
  • IEEE Wireless Communications Letters
  • IEEE Transactions on Vehicular Technology
  • IEEE Internet of Things Journal

Selected recent papers by Jihong Park include:

  • Extreme ultra-reliable and low-latency communication, 2022, Nature Electronics
  • Extreme URLLC: Vision, Challenges, and Key Enablers, 2020, arXiv (Cornell University)

Other notable papers from their network include works authored by collaborators, such as:

  • RIS-Assisted Coverage Enhancement in Millimeter-Wave Cellular Networks, 2020, IEEE Access
  • Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks, 2022, IEEE Transactions on Vehicular Technology
  • Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction, 2020, IEEE Communications Letters

Jihong Park frequently collaborates with several co-authors, including:

  • Mehdi Bennis
  • Jinho Choi
  • Seong-Lyun Kim
  • Joongheon Kim
  • Won Joon Yun

Best Publications

  • Blockchained On-Device Federated Learning

    Hyesung Kim;Jihong Park;Mehdi Bennis;Seong-Lyun Kim

  • Wireless Network Intelligence at the Edge

    Jihong Park;Sumudu Samarakoon;Mehdi Bennis;Merouane Debbah

  • Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

    Eunjeong Jeong;Seungeun Oh;Hyesung Kim;Jihong Park

  • Wireless Access for Ultra-Reliable Low-Latency Communication: Principles and Building Blocks

    Petar Popovski;Jimmy J. Nielsen;Cedomir Stefanovic;Elisabeth de Carvalho

  • Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

    Jihong Park;Sumudu Samarakoon;Anis Elgabli;Joongheon Kim

  • Wireless Edge Computing With Latency and Reliability Guarantees

    Mohammed S. Elbamby;Cristina Perfecto;Chen-Feng Liu;Jihong Park

  • Towards Enabling Critical mMTC: A Review of URLLC Within mMTC

    Shiva Raj Pokhrel;Jie Ding;Jihong Park;Ok-Sun Park

  • Extreme ultra-reliable and low-latency communication

    Unknown

  • Tractable Resource Management With Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks

    Jihong Park;Seong-Lyun Kim;Jens Zander

  • RIS-Assisted Coverage Enhancement in Millimeter-Wave Cellular Networks

    Mahyar Nemati;Jihong Park;Jinho Choi

  • Extreme URLLC: Vision, Challenges, and Key Enablers.

    Jihong Park;Sumudu Samarakoon;Hamid Shiri;Mohamed K. Abdel-Aziz

  • Federated Knowledge Distillation.

    Hyowoon Seo;Jihong Park;Seungeun Oh;Mehdi Bennis

  • Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory

    Hamid Shiri;Jihong Park;Mehdi Bennis

  • On-Device Federated Learning via Blockchain and its Latency Analysis.

    Hyesung Kim;Jihong Park;Mehdi Bennis;Seong-Lyun Kim

  • Stochastic Geometric Coverage Analysis in mmWave Cellular Networks With Realistic Channel and Antenna Radiation Models

    Mattia Rebato;Jihong Park;Petar Popovski;Elisabeth De Carvalho

  • URLLC-eMBB Slicing to Support VR Multimodal Perceptions over Wireless Cellular Systems

    Jihong Park;Mehdi Bennis

  • Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning

    Anis Elgabli;Jihong Park;Chaouki Ben Issaid;Mehdi Bennis

  • Semantics-Native Communication via Contextual Reasoning

    Unknown

  • Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach

    Hamid Shiri;Jihong Park;Mehdi Bennis

  • Asymptotic behavior of ultra-dense cellular networks and its economic impact

    Jihong Park;Seong-Lyun Kim;Jens Zander

  • GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning

    Anis Elgabli;Jihong Park;Amrit S. Bedi;Mehdi Bennis

  • Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning

    Anis Elgabli;Jihong Park;Amrit Singh Bedi;Chaouki Ben Issaid

  • Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction

    Yusuke Koda;Jihong Park;Mehdi Bennis;Koji Yamamoto

  • XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning.

    Myungjae Shin;Chihoon Hwang;Joongheon Kim;Jihong Park

  • Wireless Network Intelligence at the Edge

    Jihong Park;Sumudu Samarakoon;Mehdi Bennis;Mérouane Debbah

Frequent Co-Authors

Mehdi Bennis
Mehdi Bennis University of Oulu
Seong-Lyun Kim
Seong-Lyun Kim Yonsei University
Merouane Debbah
Merouane Debbah Khalifa University
Petar Popovski
Petar Popovski Aalborg University
Jinho Choi
Jinho Choi University of Adelaide
Jens Zander
Jens Zander Royal Institute of Technology
Wan Choi
Wan Choi Seoul National University
Vaneet Aggarwal
Vaneet Aggarwal Purdue University West Lafayette
Joongheon Kim
Joongheon Kim Korea University
Michele Zorzi
Michele Zorzi University of Padua

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