Xinyi Li

Xinyi Li

Ph.D. Candidate

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

SaFe: A Stacked Ensemble Fingerprinting Approach for UAV Classification Fusing Mechanical and 5G Communication Data

Published in IEEE Transactions on Aerospace and Electronic Systems (TAES), 2025

Keywords: Extreme Gradient Boosting, Fingerprinting, Logistic Regression, Mechanical Vibration, Meta-network, Stacked Ensemble Learning, Unmanned Aerial Vehicles

Recommended citation: X. Li, Y. Peng and Y. Wang, "SaFe: A Stacked Ensemble Fingerprinting Approach for UAV Classification Fusing Mechanical and 5 G Communication Data," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2025.3603567.
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HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection

Published in IEEE Transactions on Quantum Engineering, 2024

Keywords: NextG vulnerability detection, quantum computing, quantum neural networks (QNNs)

Recommended citation: Y. Peng, X. Li, Z. Liang and Y. Wang, "HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection," in IEEE Transactions on Quantum Engineering, vol. 5, pp. 1-19, 2024, Art no. 3103819, doi: 10.1109/TQE.2024.3481280.
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CoCo: A CBOW-Based Framework for Synergistic Vulnerability Detection in Partial and Discontinuous Logs for NextG Communications

Published in IEEE Open Journal of the Communications Society, 2024

Keywords: Machine learning, Word2Vec, CBOW, NextG vulnerability detection, fuzz testing

Recommended citation: Y. Peng, X. Li, S. Arya and Y. Wang, "CoCo: A CBOW-Based Framework for Synergistic Vulnerability Detection in Partial and Discontinuous Logs for NextG Communications," in IEEE Open Journal of the Communications Society, vol. 5, pp. 6381-6403, 2024, doi: 10.1109/OJCOMS.2024.3471709.
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Conference Papers

HCVS-Net: Hybrid Continuous-Variable Squeezing Network

Published in 2025 IEEE International Conference on Quantum Computing and Engineering (QCE-25), 2025

Keywords: Continuous-Variable Quantum Computing, Hybrid Quantum-Classical Systems, Robust Feature Extraction, Squeezing Operations

Recommended citation: X. Li, Y. Peng, J. Chen, and Y. Wang, Waiting for proceedings

Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection

Published in The Thirty-Ninth Association for the Advancement of Artificial Intelligence (AAAI-25), 2025

Recommended citation: Peng, Y., Li, X., Liang, Z., & Wang, Y. (2025). Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 39(19), 19884-19894. https://doi.org/10.1609/aaai.v39i19.34190
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FiCo: A Fingerprinting-based Two-step Learning-to-learn Approach Combing Vibration and 5G Communication for UAV Classification

Published in 2025 IEEE International Conference on Communications (ICC-25), 2025

Keywords: Fingerprinting, Learning-to-learn, Extreme Gradient Boosting, Logistic Regression, Meta-network

Recommended citation: X. Li, Y. Peng and Y. Wang, "FiCo: A Fingerprinting-Based Two-Step Learning-to-Learn Approach Combing Vibration and 5G Communication for UAV Classification," ICC 2025 - IEEE International Conference on Communications, Montreal, QC, Canada, 2025, pp. 3363-3369, doi: 10.1109/ICC52391.2025.11161218.
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Quantum Squeeze-and-Excitation Networks

Published in 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024

Keywords: Quantum computing, Amplitude embedding, Quantum attention network

Recommended citation: Y. Peng, X. Li and Y. Wang, "Quantum Squeeze-and-Excitation Networks," 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal, QC, Canada, 2024, pp. 39-43, doi: 10.1109/QCE60285.2024.10249.
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QRNG-DDPM: Enhancing Diffusion Models Through Fitting Mixture Noise with Quantum Random Number

Published in 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024

Keywords: Quantum random number, Quantum artificial intelligence, Diffusion models, Gaussian mixture noise

Recommended citation: Y. Peng, X. Li and Y. Wang, "QRNG-DDPM: Enhancing Diffusion Models Through Fitting Mixture Noise with Quantum Random Number," 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal, QC, Canada, 2024, pp. 92-96, doi: 10.1109/QCE60285.2024.10259.
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RAFT: A Real-Time Framework for Root Cause Analysis in 5G and Beyond Vulnerability Detection

Published in IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024

Keywords: 5G, CBOW, fuzz testing, root cause analysis, machine learning, vulnerability detection

Recommended citation: Y. Peng, X. Li, J. Yang, S. Arya and Y. Wang, "RAFT: A Real-Time Framework for Root Cause Analysis in 5G and Beyond Vulnerability Detection," 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2024, pp. 446-454, doi: 10.1109/CCNC51664.2024.10454824.
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