Yifeng Peng (彭一峰)

Yifeng Peng (彭一峰)

PhD Candidate

Publications

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

Journal Articles

HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection

Published in IEEE Transactions on Quantum Engineering, 2024

Keywords:Quantum Computing, Hybrid Quantum Classical Nueral Networks, 5G mobile communication, NLP

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, doi: 10.1109/TQE.2024.3481280. keywords: {Quantum computing;Quantum entanglement;Integrated circuit modeling;Noise;Data models;Computational modeling;Biological neural networks;5G mobile communication;Qubit;Neural networks;Quantum Computing;Quantum Neural Networks;NextG Vulnerability Detection},
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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: 5G mobile communication;Fuzzing;Protocols;Wireless communication; NLP

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, doi: 10.1109/OJCOMS.2024.3471709. keywords: {Fuzzing;Security;5G mobile communication;Machine learning;Accuracy;Natural language processing;Scalability;Real-time systems;Internet of Things;Analytical models;Machine Learning;Word2Vec;CBOW;NextG Vulnerability Detection;Fuzz Testing},
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Large rotating magnetocaloric effect of textured polycrystalline HoB2 alloy contributed by anisotropic ferromagnetic susceptibility

Published in Applied Physics Letters, 2022

Keywords: Large Rotating Magnetocaloric Effect (RMCE)

Recommended citation: Xiaoyu Zhou, Yafen Shang, Tian Luo, Yifeng Peng, Hao Fu; Large rotating magnetocaloric effect of textured polycrystalline HoB2 alloy contributed by anisotropic ferromagnetic susceptibility. Appl. Phys. Lett. 28 March 2022; 120 (13): 132401. https://doi.org/10.1063/5.0088571
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Conference Papers

RAFT: A Real-Time Framework for Root Cause Analysis in 5G and Beyond Vulnerability Detection

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

Keywords: Root cause analysis;Protocols;5G mobile communication;Machine learning

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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SmiLe Net: A Supervised Graph Embedding-based Machine Learning Approach for NextG Vulnerability Detection

Published in MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 2023

Keywords: Root cause analysis;Machine learning algorithms;5G mobile communication;Wireless networks;Machine learning;Fuzzing

Recommended citation: Y. Peng, J. Yang, S. Arya and Y. Wang, "SmiLe Net: A Supervised Graph Embedding-based Machine Learning Approach for NextG Vulnerability Detection," MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM), Boston, MA, USA, 2023, pp. 554-561, doi: 10.1109/MILCOM58377.2023.10356317.
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