Yi-Chung Wu
Orcid: 0000-0002-8774-623X
According to our database1,
Yi-Chung Wu
authored at least 19 papers
between 2016 and 2025.
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Bibliography
2025
A 44.3-mW 62.4-fps Hyperspectral Image Processor for Spectral Unmixing in MAV Remote Sensing.
IEEE J. Solid State Circuits, May, 2025
A 40-nm 6.75 TOPS/W Quantization-Aware NN Processor for High-Energy-Efficiency Image Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
2023
An FM-Index Based High-Throughput Memory-Efficient FPGA Accelerator for Paired-End Short-Read Mapping.
IEEE Trans. Biomed. Circuits Syst., December, 2023
A Fully Integrated End-to-End Genome Analysis Accelerator for Next-Generation Sequencing.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
2022
Achieving Accurate Automatic Sleep Apnea/Hypopnea Syndrome Assessment Using Nasal Pressure Signal.
IEEE J. Biomed. Health Informatics, 2022
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022
2021
A 975-mW Fully Integrated Genetic Variant Discovery System-on-Chip in 28 nm for Next-Generation Sequencing.
IEEE J. Solid State Circuits, 2021
2020
A Generic Framework for Fourier-Domain Optical Coherence Tomography Imaging: Software Architecture and Hardware Implementations.
IEEE Access, 2020
Proceedings of the IEEE Symposium on VLSI Circuits, 2020
21.1 A Fully Integrated Genetic Variant Discovery SoC for Next-Generation Sequencing.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020
2019
IEEE Trans. Biomed. Eng., 2019
A 12.6 mW, 573-2901 kS/s Reconfigurable Processor for Reconstruction of Compressively Sensed Physiological Signals.
IEEE J. Solid State Circuits, 2019
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019
2018
A 12.6MW 573-2, 901KS/S Reconfigurable Processor for Reconstruction of Compressively-Sensed Phvsiological Signals.
Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018
2017
IEEE Trans. Biomed. Circuits Syst., 2017
Proceedings of the 2017 IEEE International Solid-State Circuits Conference, 2017
Integration of energy-recycling logic and wireless power transfer for ultra-low-power implantables.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
2016
sBWT: memory efficient implementation of the hardware-acceleration-friendly Schindler transform for the fast biological sequence mapping.
Bioinform., 2016