4 citations · 4 across the 9 of their papers we have counts for
12 papers
MROP: Mask-Region Optimized Purification Against Backdoor Attack in Deep JSCC
Seongkyu Yang, Hyeonho Noh, Hyun Jong Yang +1
Deep joint source and channel coding (JSCC) transmits a source by mapping it directly to channel symbols through an end-to-end deep neural network (DNN) and reconstructing it at th…
Dispersion-aware Localization Network for Wideband OFDM Pinching-Antenna Integrated Sensing and Communication Systems
Hyeonho Noh, Hyun Jong Yang
Pinching-antenna systems (PASS) provide a large effective aperture and substantial path-loss reduction at low hardware cost, making them attractive for integrated sensing and commu…
Semantic-Aware Data-Aided Channel Estimation with Large Language Models for MIMO Systems
Sojeong Park, Jaehyun Choi, Hyun Jong Yang
Data-aided channel estimation enhances spectral efficiency by reusing detected symbols as virtual pilots. In this process, selecting only reliable symbols is crucial to prevent mis…
ALERT Open Dataset and Input-Size-Agnostic Vision Transformer for Driver Activity Recognition using IR-UWB
Jeongjun Park, Sunwook Hwang, Hyeonho Noh +3
Distracted driving contributes to fatal crashes worldwide. To address this, researchers are using driver activity recognition (DAR) with impulse radio ultra-wideband (IR-UWB) radar…
Group-wise Semantic Splitting Multiple Access for Multi-User Semantic Communication
Jungyeon Koh, Hyeonho Noh, Hyun Jong Yang
In this letter, we propose a group-wise semantic splitting multiple access framework for multi-user semantic communication in downlink scenarios. The framework begins by applying a…
Collaborative Large Language Model Inference via Resource-Aware Parallel Speculative Decoding
Jungyeon Koh, Hyun Jong Yang
The growing demand for on-device large language model (LLM) inference highlights the need for efficient mobile edge computing (MEC) solutions, especially in resource-constrained se…
Large Multimodal Models-Empowered Task-Oriented Autonomous Communications: Design Methodology and Implementation Challenges
Hyun Jong Yang, Hyunsoo Kim, Hyeonho Noh +2
Large language models (LLMs) and large multimodal models (LMMs) have achieved unprecedented breakthrough, showcasing remarkable capabilities in natural language understanding, gene…
Multiple Active STAR-RIS-Assisted Secure Integrated Sensing and Communication via Cooperative Beamforming
Hyeonho Noh, Hyeonsu Lyu, Hyun Jong Yang
This paper explores an integrated sensing and communication (ISAC) network empowered by multiple active simultaneously transmitting and reflecting reconfigurable intelligent surfac…
DCFNet: Doppler Correction Filter Network for Integrated Sensing and Communication in Multi-User MIMO-OFDM Systems
Hyeonho Noh, Hyeonsu Lyu, Moe Z. Win +1
Integrated sensing and communication (ISAC) is a headline feature for the forthcoming IMT-2030 and 6G releases, yet a concrete solution that fits within the established orthogonal…
Secure Multi-Hop Relaying in Large-Scale Space-Air-Ground-Sea Integrated Networks
Hyeonsu Lyu, Hyeonho Noh, Hyun Jong Yang +1
As a key enabler of borderless and ubiquitous connectivity, space-air-ground-sea integrated networks (SAGSINs) are expected to be a cornerstone of 6G wireless communications. Howev…
Robust Transmission of Punctured Text with Large Language Model-based Recovery
Sojeong Park, Hyeonho Noh, Hyun Jong Yang
With the recent advancements in deep learning, semantic communication which transmits only task-oriented features, has rapidly emerged. However, since feature extraction relies on…
Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments
Hyeonho Noh, Byonghyo Shim, Hyun Jong Yang
Deep learning (DL) has made notable progress in addressing complex radio access network control challenges that conventional analytic methods have struggled to solve. However, DL h…