Author

Hyeonsu Lyu

h-index 5 View on Semantic Scholar

We have 6 of 29 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Dec 2024

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation

As 6G and beyond networks grow increasingly complex and interconnected, federated learning (FL) emerges as an indispensable paradigm for securely and efficiently leveraging decentralized edge data for AI. By virtue of the superposition property of communication signals, over-the-air FL (OtA-FL) achieves constant commun...

Jonggyu Jang, Hyeonsu Lyu, D. J. Love et al. · IEEE Journal on Selected Are... · 4 citations

Preprint Aug 2026

LLM-Assisted LDPC Decoding via Syndrome-Verified Semantic Priors

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 corrupted characters in the recovered text. A large language model (LLM) infers the intended characters from the semantic context, but it can a...

Sojeong Park, Hyeonsu Lyu, Jaehyun Choi et al. · 1 citation

#machine learning Preprint Sep 2026

AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning

AirGC-CD, an over-the-air scheme that precodes each local update with a partial Gaussian circulant matrix before clipping, is proposed, and it is proved that the resulting aggregate is exactly unbiased, with clipping adding only variance.

Jonggyu Jang, Hyeonsu Lyu, H. Yang · 0 citations

2026

Joint Optimization of User Association and Resource Allocation for Load Balancing With Heterogeneous Fairness

The joint optimization of user association and resource allocation (UARA) is a fundamental challenge in modern wireless networks, essential for balancing performance, user fairness, and efficiency under growing service demands. Given the latency constraints of emerging applications, distributed pricing-based strategies...

Jonggyu Jang, Hyeonsu Lyu, D. J. Love et al. · IEEE Transactions on Communi... · 0 citations

Preprint Aug 2026

Temporal Channel Estimation for Generalized CSI Feedback

TAP is a one-shot neural framework that unifies the speed of DL with the mathematical interpretability of CS, replacing iterative pursuit with a lightweight 1D neural network that extracts dominant continuous propagation delays from temporal channel sequences via a differentiable sub-grid interpolation operator.

Minwoo Kim, Hyeonsu Lyu, Sehyun Ryu et al. · 0 citations

Preprint Aug 2026

LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Control

LUCID is presented, an LLM-agent--orchestrated, uplink-aware cloud-robotics pipeline that moves TP--RRM from solving a fixed formulation to dynamically orchestrating optimization problem schemas within a DITL environment and robustly adapts to changing intents, active-robot counts, and scenes.

Hyeonsu Lyu, Minwoo Kim, Sehyun Ryu et al. · 1 citation