教师个人主页
教师个人主页
助理研究员
电子邮箱： yimingwen@sdu.edu.cn
闻乙名，1990年1月出生。主要研究方向为集成电路硬件安全、物理不可复制函数器件、真随机数发生器器件、加密芯片与加密电路、神经网络安全应用等领域。至今发表SCI论文二十余篇，以第一作者/通讯做社发表论文十余篇。代表学校参加第一届、第二届全国博士后创新创业大赛全国总决赛。曾任Elsevier Microelectronics Journal、IEEE Transactions on Circuits and Systems I: Regular Papers、IEEE Transactions on Very Large Scale Integration (VLSI) Systems、IEEE Internet of Things Journal、IEEE International Symposium on Quality Electronic Design (ISQED)等期刊会议的审稿人
山东大学 ，集成电路学院 ，中级 ，在职
山东大学
（美国）欧道明大学
（美国）南佛罗里达大学
中南大学
| 项目名称 | 项目周期 |
|---|---|
|
自主可控高性能服务器CPU的设计及产业化 |
2023/12/01,2026/12/31 |
【1】刘国洋.Cosine convolutional neural network and its application for seizure detection. NEURAL NETWORKS, 174,2024.
【2】刘国洋.EEG-Based Familiar and Unfamiliar Face Classification Using Filter-Bank Differential Entropy FeaturesIEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS,2023.
【3】孙能源.A novel SM4 cryptographic architecture against higher order power analysis attacksINTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS,2024.
【4】张睿.Self-attention-based convolutional neural network and time-frequency common spatial pattern for enhanced motor imagery classification. Journal of Neuroscience Methods, 398,2023.
【5】程佳风.Neural Network-Based Entropy: A New Metric for Evaluating Side-Channel AttacksJOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS,2023.
【6】程佳风.A machine learning low-dropout regulator-assisted differential power analysis attack countermeasure with voltage scalingINTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS,2023.
【7】彭兆康.A sequential strong PUF architecture based on reconfigurable neural networks (RNNs) against state-of-the-art modeling attacks. INTEGRATION-THE VLSI JOURNAL, 92:83-90,2023.
【8】程佳风.A low output ripple and high security on-chip voltage regulation based on Fourier transform. INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 51:2578-2591,2023.
【9】刘文睿.A novel hardware authentication primitive against modeling attacks. INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 51:2993-3001,2023.
【10】闻乙名.Combining Thermal Maps With Inception Neural Networks for Hardware Trojan Detection. IEEE EMBEDDED SYSTEMS LETTERS, 13:45,2021.
【11】.A machine learning low‐dropout regulator‐assisted differential power analysis attack countermeasure with voltage scalingINTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS,2023.
【12】.A novel hardware authentication primitive against modeling attacksINTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS,2023.
【13】.A low output ripple and high security on‐chip voltage regulation based on Fourier transformINTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS,2023.
【14】.ResNet‐based Trojan detection methodology for protected ICsIET Electronics Letters,2019.
【15】.Efficient hybrid side‐channel/machine learning attack on XOR PUFsIET Electronics Letters,2019.
【16】闻乙名.Boosting the efficacy of power attacks on cryptographic circuits with autoencoderIET Electronics Letters,2019.
【17】闻乙名.Convolutional Neural Networks (CNNs)-Assisted Voltage Regulation: A New Power Delivery Scheme,2019.
【18】闻乙名.A Novel PUF Architecture Against Non-Invasive Attacks,2019.
【19】闻乙名.Machine learning‐resistant pseudo‐random number generator. IET Electronics Letters, 55,2019.
【20】闻乙名.Malicious attacks on physical unclonable function sensors of internet of things,2019.
【21】.A sequential strong PUF architecture based on reconfigurable neural networks (RNNs) against state-of-the-art modeling attacksINTEGRATION-THE VLSI JOURNAL,2023.
【22】闻乙名.Combining thermal maps with inception neural networks for hardware trojan detectionIEEE EMBEDDED SYSTEMS LETTERS,2020.
【23】.Leveraging balanced logic gates as strong PUFs for securing IoT against malicious attacksJOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS,2019.
【24】.Neural Network-Based Entropy: A New Metric for Evaluating Side-Channel AttacksJournal of Circuits, Systems and Computers,2023.
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