22 citations · 23 across the 17 of their papers we have counts for
21 papers
Statistical Ambiguity-Function-Aware Joint Beamforming and Subcarrier Allocation for MIMO-OFDM ISAC under Random Symbols
Wonill Kim, Yumin Kim, Hyeonsu Lyu +1
Ambiguity function (AF) characterizes the delay--Doppler sidelobe structure that governs target resolution and masking in radar sensing. In ISAC, however, random communication symb…
Prediction-Aided V2X Safety Message Recovery via Uncertainty-Aware LDPC Decoding
Sojeong Park, Hyeonsu Lyu, Minwoo Kim +1
Periodic basic safety messages (BSMs) exhibit temporal correlation as vehicle motion evolves continuously over time. This temporal structure provides predictive information about t…
AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning
Jonggyu Jang, Hyeonsu Lyu, Hyun Jong Yang
Over-the-air federated learning lets edge devices transmit their local updates simultaneously, reducing the communication overhead. The resulting waveform, however, has a peak-to-a…
LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Control
Hyeonsu Lyu, Minwoo Kim, Sehyun Ryu +1
Cloud robotics relies on the timely uplink of high-volume sensing streams, yet dynamic environments continually shift the feasible combinations of trajectories, active-robot count,…
LLM-Assisted LDPC Decoding via Syndrome-Verified Semantic Priors
Sojeong Park, Hyeonsu Lyu, Jaehyun Choi +1
Semantic communication exploits the meaning of the payload, which bit-level processing discards. When channel decoding fails on a natural language payload, the errors appear as cor…
SceneBaker: Radio-Ready Scene Generation for Sionna Ray-Tracing
Hyeonsu Lyu, Minwoo Kim, Sojeong Park +1
Wireless digital-twin (DT) research needs ray-tracing (RT) scenes that can be generated, versioned, and checked reproducibly. Current visual-authoring workflows can produce plausib…
Temporal Channel Estimation for Generalized CSI Feedback
Minwoo Kim, Hyeonsu Lyu, Sehyun Ryu +2
Efficient Channel State Information (CSI) feedback is indispensable for frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. Existing compressed s…
End-to-End Secure Connection Probability in MultiLayer Networks with Heterogeneous Rician Fading
Hyeonsu Lyu, Yumin Kim, Hyun Jong Yang
Ensuring physical-layer security in non-terrestrial networks (NTNs) is challenging due to their global coverage and multi-hop relaying across heterogeneous network layers, where th…
Accuracy-Delay Trade-Off in LLM Offloading via Token-Level Uncertainty
Yumin Kim, Hyeonsu Lyu, Minjae Lee +1
Large language models (LLMs) offer significant potential for intelligent mobile services but are computationally intensive for resource-constrained devices. Mobile edge computing (…
Faithful and Fast Influence Function via Advanced Sampling
Jungyeon Koh, Hyeonsu Lyu, Jonggyu Jang +1
How can we explain the influence of training data on black-box models? Influence functions (IFs) offer a post-hoc solution by utilizing gradients and Hessians. However, computing t…
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…
Joint Optimization of User Association and Resource Allocation for Load Balancing With Multi-Level Fairness
Jonggyu Jang, Hyeonsu Lyu, David J. Love +1
User association, the problem of assigning each user device to a suitable base station, is increasingly crucial as wireless networks become denser and serve more users with diverse…
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…
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation
Jonggyu Jang, Hyeonsu Lyu, David J. Love +1
As 6G and beyond networks grow increasingly complex and interconnected, federated learning (FL) emerges as an indispensable paradigm for securely and efficiently leveraging decentr…
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models
Jonggyu Jang, Hyeonsu Lyu, Jungyeon Koh +1
The conventional targeted adversarial attacks add a small perturbation to an image to make neural network models estimate the image as a predefined target class, even if it is not…
Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
Jonggyu Jang, Hyeonsu Lyu, Seongjin Hwang +1
This paper investigates the security vulnerabilities of adversarial-example-based image encryption by executing data reconstruction (DR) attacks on encrypted images. A representati…
Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network
Hyeonsu Lyu, Jonggyu Jang, Harim Lee +1
We address a joint trajectory planning, user association, resource allocation, and power control problem to maximize proportional fairness in the aerial IoT network, considering pr…
Rethinking Model Inversion Attacks With Patch-Wise Reconstruction
Jonggyu Jang, Hyeonsu Lyu, Hyun Jong Yang
Model inversion (MI) attacks aim to infer or reconstruct the training dataset through reverse-engineering from the target model's weights. Recently, significant advancements in gen…
Deeper Understanding of Black-box Predictions via Generalized Influence Functions
Hyeonsu Lyu, Jonggyu Jang, Sehyun Ryu +1
Influence functions (IFs) elucidate how training data changes model behavior. However, the increasing size and non-convexity in large-scale models make IFs inaccurate. We suspect t…
Privacy-Protection Drone Patrol System based on Face Anonymization
Harim Lee, Myeung Un Kim, Yeongjun Kim +2
The robot market has been growing significantly and is expected to become 1.5 times larger in 2024 than what it was in 2019. Robots have attracted attention of security companies t…