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20232026
most citedStatistical Complexity of Quantum Learning

15 citations · 29 across the 41 of their papers we have counts for

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7 papers · 1 filter

eess.SP2025

Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems

Qiushuo Hou, Sangwoo Park, Matteo Zecchin +4

Large language models (LLMs) are emerging as key enablers of automation in domains such as telecommunications, assisting with tasks including troubleshooting, standards interpretat…

eess.SP2025

How to Bridge the Sim-to-Real Gap in Digital Twin-Aided Telecommunication Networks

Clement Ruah, Houssem Sifaou, Osvaldo Simeone +1

Training effective artificial intelligence models for telecommunications is challenging due to the scarcity of deployment-specific data. Real data collection is expensive, and avai…

eess.SP2025

Conformal Robust Beamforming via Generative Channel Models

Xin Su, Qiushuo Hou, Ruisi He +1

Traditional approaches to outage-constrained beamforming optimization rely on statistical assumptions about channel distributions and estimation errors. However, the resulting outa…

eess.SP2024

Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management

Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone

Radio resource allocation often calls for the optimization of black-box objective functions whose evaluation is expensive in real-world deployments. Conventional optimization metho…

eess.SP2024

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints

Meiyi Zhu, Matteo Zecchin, Sangwoo Park +4

This paper presents communication-constrained distributed conformal risk control (CD-CRC) framework, a novel decision-making framework for sensor networks under communication const…

eess.SP2024

Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning

Jiechen Chen, Sangwoo Park, Petar Popovski +2

Neuromorphic computing leverages the sparsity of temporal data to reduce processing energy by activating a small subset of neurons and synapses at each time step. When deployed for…

eess.SP2023

Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates

Clement Ruah, Osvaldo Simeone, Jakob Hoydis +1

Embodying the principle of simulation intelligence, digital twin (DT) systems construct and maintain a high-fidelity virtual model of a physical system. This paper focuses on ray t…