HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things [J]. IEEE Transactions on Biomedical Circuits and Systems, 2024. |
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A 0.99-to-4.38 μJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses [J]. IEEE Transactions on Biomedical Circuits and Systems, 2023. |
Zhao S, Yang J, Wang J, Sawan M. |
Low-Power FPGA-based Task-aware Compression and Energy-efficient Analysis Processor for Continuous Health Monitoring [J]. IEEE Transactions on Biomedical Circuits and Systems, 2023. |
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Emerging Energy-Efficient Biosignal-Dedicated Circuit Techniques: A Tutorial Brief [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2022. |
Zhao S, Fang C, Yang J, Sawan M. |
A Resource-Efficient and Data-Restricted Training Method Towards Neurological Symptoms Prediction [C]//2022 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2022. |
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Energy-efficient neural network for epileptic seizure prediction [J]. IEEE Transactions on Biomedical Engineering, 2021. |
Zhao S, Yang J, Sawan M. |
Binary single-dimensional convolutional neural network for seizure prediction [C]//2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020. |
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