7 citations · 14 across the 12 of their papers we have counts for
12 papers
Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance
Sivaram Krishnan, Jihong Park, Gregory Sherman +2
Low Probability of Detection (LPD) communication aims to obscure the very presence of radio frequency (RF) signals, going beyond just hiding the content of the communication. Howev…
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks
Eleonora Grassucci, Jihong Park, Sergio Barbarossa +3
While deep generative models are showing exciting abilities in computer vision and natural language processing, their adoption in communication frameworks is still far underestimat…
Sequential Semantic Generative Communication for Progressive Text-to-Image Generation
Hyelin Nam, Jihong Park, Jinho Choi +1
This paper proposes new framework of communication system leveraging promising generation capabilities of multi-modal generative models. Regarding nowadays smart applications, succ…
Energy-Efficient Downlink Semantic Generative Communication with Text-to-Image Generators
Hyein Lee, Jihong Park, Sooyoung Kim +1
In this paper, we introduce a novel semantic generative communication (SGC) framework, where generative users leverage text-to-image (T2I) generators to create images locally from…
Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction
Sivaram Krishnan, Mahyar Nemati, Seng W. Loke +2
This paper presents a wireless data collection framework that employs an unmanned aerial vehicle (UAV) to efficiently gather data from distributed IoT sensors deployed in a large a…
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks
Sivaram Krishnan, Jihong Park, Subhash Sagar +3
Low probability of detection (LPD) has recently emerged as a means to enhance the privacy and security of wireless networks. Unlike existing wireless security techniques, LPD measu…
A Subspace Projection Approach to Autoencoder-based Anomaly Detection
Jinho Choi, Jihong Park, Abhinav Japesh +1
Autoencoder (AE) is a neural network (NN) architecture that is trained to reconstruct an input at its output. By measuring the reconstruction errors of new input samples, AE can de…
Semantic Communication as a Signaling Game with Correlated Knowledge Bases
Jinho Choi, Jihong Park
Semantic communication (SC) goes beyond technical communication in which a given sequence of bits or symbols, often referred to as information, is be transmitted reliably over a no…
Quantum Multi-Agent Meta Reinforcement Learning
Won Joon Yun, Jihong Park, Joongheon Kim
Although quantum supremacy is yet to come, there has recently been an increasing interest in identifying the potential of quantum machine learning (QML) in the looming era of pract…
A Unified Approach to Semantic Information and Communication based on Probabilistic Logic
Jinho Choi, Seng W. Loke, Jihong Park
Traditionally, studies on technical communication (TC) are based on stochastic modeling and manipulation. This is not sufficient for semantic communication (SC) where semantic elem…
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications
Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim +4
Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to…
A Unified View on Semantic Information and Communication: A Probabilistic Logic Approach
Jinho Choi, Seng W. Loke, Jihong Park
This article aims to provide a unified and technical approach to semantic information, communication, and their interplay through the lens of probabilistic logic. To this end, on t…