Ziyuan Wen
Orcid: 0000-0002-7081-0725
According to our database1,
Ziyuan Wen
authored at least 13 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
A Miniature Batteryless Bioelectronic Implant Using One Magnetoelectric Transducer for Wireless Powering and PWM Backscatter Communication.
IEEE Trans. Biomed. Circuits Syst., December, 2024
Entertain. Comput., January, 2024
A Miniature Batteryless Bioelectronic Implant Using One Magnetoelectric Transducer for Wireless Powering and PWM Backscatter Communication.
CoRR, 2024
PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout.
CoRR, 2024
Proceedings of the IEEE International Conference on Smart Internet of Things, 2024
33.6 A Millimetric Batteryless Biosensing and Stimulating Implant with Magnetoelectric Power Transfer and 0.9pJ/b PWM Backscatter.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
Lightweight Machine Learning and Embedded Security Engine for Physical-Layer Identification of Wireless IoT Nodes.
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024
BVAP: Energy and Memory Efficient Automata Processing for Regular Expressions with Bounded Repetitions.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
2022
Automatic pulmonary auscultation grading diagnosis of Coronavirus Disease 2019 in China with artificial intelligence algorithms: A cohort study.
Comput. Methods Programs Biomed., 2022
Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
An Energy-Efficient Deep Belief Network Processor Based on Heterogeneous Multi-Core Architecture With Transposable Memory and On-Chip Learning.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021