Jihong Park

Orcid: 0000-0001-7623-6552

According to our database1, Jihong Park authored at least 142 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Novel Frequency Reuse Model for Co-Existing LEO and GEO Satellites.
IEEE Wirel. Commun. Lett., April, 2024

Semantic and Logical Communication-Control Codesign for Correlated Dynamical Systems.
IEEE Internet Things J., April, 2024

Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts.
CoRR, 2024

Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance.
CoRR, 2024

Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks.
CoRR, 2024

Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control.
CoRR, 2024

Spectrum Sharing through Marketplaces for O-RAN based Non-Terrestrial and Terrestrial Networks.
CoRR, 2024

Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks.
CoRR, 2024

Data Aided Sensing with Variational Autoencoder.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

2023
SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks.
IEEE/ACM Trans. Netw., December, 2023

Toward Semantic Communication Protocols: A Probabilistic Logic Perspective.
IEEE J. Sel. Areas Commun., August, 2023

Semantics-Native Communication via Contextual Reasoning.
IEEE Trans. Cogn. Commun. Netw., June, 2023

Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks.
IEEE Trans. Veh. Technol., March, 2023

Learning Emergent Random Access Protocol for LEO Satellite Networks.
IEEE Trans. Wirel. Commun., 2023

Quantum distributed deep learning architectures: Models, discussions, and applications.
ICT Express, 2023

Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches.
CoRR, 2023

Semantics Alignment via Split Learning for Resilient Multi-User Semantic Communication.
CoRR, 2023

Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation.
CoRR, 2023

A Subspace Projection Approach to Autoencoder-based Anomaly Detection.
CoRR, 2023

3D State Transition Modeling and Power Allocation for UAV-aided ISAC System.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Semantic Communication Protocol: Demystifying Deep Neural Networks via Probabilistic Logic.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Enabling the Wireless Metaverse via Semantic Multiverse Communication.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Sequential Semantic Generative Communication for Progressive Text-to-Image Generation.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

On Ka-Band Utilization Towards Non-Terrestrial Networks.
Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023

Active Wireless Split Learning via Online Cloud-Local Server Delta-Knowledge Distillation.
Proceedings of the IEEE International Conference on Communications, 2023

VQ-VAE Empowered Wireless Communication for Joint Source-Channel Coding and Beyond.
Proceedings of the IEEE Global Communications Conference, 2023

Energy-Efficient Downlink Semantic Generative Communication with Text-to-Image Generators.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction.
Proceedings of the IEEE Global Communications Conference, 2023

Quantum Multi-Agent Meta Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Multichannel ALOHA Optimization for Federated Learning With Multiple Models.
IEEE Wirel. Commun. Lett., 2022

Attention-Based Communication and Control for Multi-UAV Path Planning.
IEEE Wirel. Commun. Lett., 2022

Communication Efficient Decentralized Learning Over Bipartite Graphs.
IEEE Trans. Wirel. Commun., 2022

Predictive Closed-Loop Remote Control Over Wireless Two-Way Split Koopman Autoencoder.
IEEE Internet Things J., 2022

Deep learning driven beam selection for orthogonal beamforming with limited feedback.
ICT Express, 2022

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding.
CoRR, 2022

Differentially Private CutMix for Split Learning with Vision Transformer.
CoRR, 2022

Slimmable Quantum Federated Learning.
CoRR, 2022

Towards Semantic Communication Protocols: A Probabilistic Logic Perspective.
CoRR, 2022

Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning.
CoRR, 2022

A Unified Approach to Semantic Information and Communication Based on Probabilistic Logic.
IEEE Access, 2022

RF-Inpainter: Multimodal Image Inpainting Based on Vision and Radio Signals.
IEEE Access, 2022

LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Combinatorial Data Augmentation for Real-Time Indoor Positioning: Concepts and Experiments.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Random Access Protocol Learning in LEO Satellite Networks via Reinforcement Learning.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Semantic Communication as a Signaling Game with Correlated Knowledge Bases.
Proceedings of the 96th Vehicular Technology Conference, 2022

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks.
Proceedings of the IEEE INFOCOM 2022, 2022

Federated Codebook for Multi - User Deep Source Coding.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

A Unified View on Semantic Information and Communication: A Probabilistic Logic Approach.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021
Predictive Control and Communication Co-Design via Two-Way Gaussian Process Regression and AoI-Aware Scheduling.
IEEE Trans. Commun., 2021

Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning.
IEEE Trans. Commun., 2021

Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning.
IEEE Trans. Commun., 2021

Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications.
Proc. IEEE, 2021

Explore-before-talk: Multichannel selection diversity for uplink transmissions in machine-type communication.
J. Commun. Networks, 2021

Communication and Consensus Co-Design for Distributed, Low-Latency, and Reliable Wireless Systems.
IEEE Internet Things J., 2021

Hiding in the Crowd: Federated Data Augmentation for On-Device Learning.
IEEE Intell. Syst., 2021

When Wireless Communications Meet Computer Vision in Beyond 5G.
IEEE Commun. Stand. Mag., 2021

Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning.
CoRR, 2021

Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding.
CoRR, 2021

Semantics-Native Communication with Contextual Reasoning.
CoRR, 2021

Integrating Geometry-Driven and Data-Driven Positioning via Combinatorial Data Augmentation.
CoRR, 2021

Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus.
CoRR, 2021

Mean-Field Game-Theoretic Edge Caching.
CoRR, 2021

Communication-Efficient and Personalized Federated Lottery Ticket Learning.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication.
Proceedings of the 17th International Symposium on Wireless Communication Systems, 2021

Robustness and Diversity Seeking Data-Free Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2021

AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning.
Proceedings of the IEEE Global Communications Conference, 2021

Anomaly Detection for Wireless Communication Links via Data Integrity Modeling.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Remote UAV Online Path Planning via Neural Network-Based Opportunistic Control.
IEEE Wirel. Commun. Lett., 2020

Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks.
IEEE Trans. Veh. Technol., 2020

Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory.
IEEE Trans. Commun., 2020

GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning.
J. Mach. Learn. Res., 2020

Performance Analysis of Blockchain Systems With Wireless Mobile Miners.
IEEE Netw. Lett., 2020

Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup.
IEEE Commun. Lett., 2020

Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction.
IEEE Commun. Lett., 2020

Blockchained On-Device Federated Learning.
IEEE Commun. Lett., 2020

Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning.
IEEE Intell. Syst., 2020

Federated Knowledge Distillation.
CoRR, 2020

Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM.
CoRR, 2020

Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction.
CoRR, 2020

XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning.
CoRR, 2020

Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction.
CoRR, 2020

Extreme URLLC: Vision, Challenges, and Key Enablers.
CoRR, 2020

Towards Enabling Critical mMTC: A Review of URLLC Within mMTC.
IEEE Access, 2020

RIS-Assisted Coverage Enhancement in Millimeter-Wave Cellular Networks.
IEEE Access, 2020

L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Communication Efficient Framework for Decentralized Machine Learning.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2019
Stochastic Geometric Coverage Analysis in mmWave Cellular Networks With Realistic Channel and Antenna Radiation Models.
IEEE Trans. Commun., 2019

Scanning the Issue.
Proc. IEEE, 2019

Wireless Network Intelligence at the Edge.
Proc. IEEE, 2019

Wireless Edge Computing With Latency and Reliability Guarantees.
Proc. IEEE, 2019

Distilling On-Device Intelligence at the Network Edge.
CoRR, 2019

Communication and Consensus Co-Design for Low-Latency and Reliable Industrial IoT Systems.
CoRR, 2019

Federated Reinforcement Distillation with Proxy Experience Memory.
CoRR, 2019

Multi-hop Federated Private Data Augmentation with Sample Compression.
CoRR, 2019

Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction.
Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019

2018
Minimizing Latency to Support VR Social Interactions Over Wireless Cellular Systems via Bandwidth Allocation.
IEEE Wirel. Commun. Lett., 2018

Wireless Access for Ultra-Reliable Low-Latency Communication: Principles and Building Blocks.
IEEE Netw., 2018

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.
CoRR, 2018

On-Device Federated Learning via Blockchain and its Latency Analysis.
CoRR, 2018

Supporting VR Mobile Social Networks over Wireless Cellular Systems.
CoRR, 2018

Millimeter-Wave Interference Avoidance via Building-Aware Associations.
IEEE Access, 2018

Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

URLLC-eMBB Slicing to Support VR Multimodal Perceptions over Wireless Cellular Systems.
Proceedings of the IEEE Global Communications Conference, 2018

Consensus-Before-Talk: Distributed Dynamic Spectrum Access via Distributed Spectrum Ledger Technology.
Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

2017
Coverage and Rate of Downlink Sequence Transmissions With Reliability Guarantees.
IEEE Wirel. Commun. Lett., 2017

An Algorithm for Timely Transmission of Solicitation Messages in RPL for Energy-Efficient Node Mobility.
Sensors, 2017

Hybrid Precoding for Massive MIMO Systems in Cloud RAN Architecture with Capacity-Limited Fronthauls.
CoRR, 2017

Ultra-Reliable Low-Latency Communication (URLLC): Principles and Building Blocks.
CoRR, 2017

On the Asymptotic Behavior of Ultra-Densification under a Bounded Dual-Slope Path Loss Model.
CoRR, 2017

Revisiting frequency reuse towards supporting ultra-reliable ubiquitous-rate communication.
Proceedings of the 15th International Symposium on Modeling and Optimization in Mobile, 2017

Downlink performance of dense antenna deployment: To distribute or concentrate?
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Risk analysis and countermeasure for bit-flipping attack in LoRaWAN.
Proceedings of the 2017 International Conference on Information Networking, 2017

Ultra-dense edge caching under spatio-temporal demand and network dynamics.
Proceedings of the IEEE International Conference on Communications, 2017

Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Cooperative transmissions in ultra-dense networks under a bounded dual-slope path loss model.
Proceedings of the 2017 European Conference on Networks and Communications, 2017

Massive MIMO functionality splits based on hybrid analog-digital precoding in a C-RAN architecture.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Traffic convexity aware cellular networks: a vehicular heavy user perspective.
IEEE Wirel. Commun., 2016

Tractable Resource Management With Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks.
IEEE Trans. Wirel. Commun., 2016

An entropy-based clustering algorithm for load balancing in WSN.
Int. J. Sens. Networks, 2016

User attraction via wireless charging in downlink cellular networks.
Proceedings of the 14th International Symposium on Modeling and Optimization in Mobile, 2016

Spatio-Temporal Network Dynamics Framework for Energy-Efficient Ultra-Dense Cellular Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

User-Centric Mobility Management in Ultra-Dense Cellular Networks under Spatio-Temporal Dynamics.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
On the throughput gain of device-to-device communications.
ICT Express, 2015

Traffic Convexity Aware Cellular Networks: A Nomadic Heavy User Perspective.
CoRR, 2015

Tractable Resource Management in Millimeter-Wave Overlaid Ultra-Dense Cellular Networks.
CoRR, 2015

Resource Management and Cell Planning in Millimeter-Wave Overlaid Ultra-Dense Cellular Networks.
CoRR, 2015

User Attraction via Wireless Charging in Cellular Networks.
CoRR, 2015

An ECDH-based light-weight mutual authentication scheme on local SIP.
Proceedings of the Seventh International Conference on Ubiquitous and Future Networks, 2015

An efficient generation mechanism of HMI information for heterogeneous PLCs.
Proceedings of the Seventh International Conference on Ubiquitous and Future Networks, 2015

2014
Content-specific broadcast cellular networks based on user demand prediction: A revenue perspective.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Asymptotic behavior of ultra-dense cellular networks and its economic impact.
Proceedings of the IEEE Global Communications Conference, 2014

Radio resource efficient cellular broadcast networks.
Proceedings of the International Conference of Future Internet 2014, 2014

2012
A window-based overload control considering the number of confirmation Massages for SIP server.
Proceedings of the Fourth International Conference on Ubiquitous and Future Networks, 2012

2010
Mobility-aware spatial interference cancellation for mobile ad hoc networks.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2010


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