Hyochan An
Orcid: 0000-0002-6322-025X
According to our database1,
Hyochan An
authored at least 13 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
AIMMI: Audio and Image Multi-Modal Intelligence via a Low-Power SoC With 2-MByte On-Chip MRAM for IoT Devices.
IEEE J. Solid State Circuits, October, 2024
RoboVisio: A Micro-Robot Vision Domain-Specific SoC for Autonomous Navigation Enabling Fully-on-Chip Intelligence via 2-MB eMRAM.
IEEE J. Solid State Circuits, August, 2024
2023
A Reconfigurable Analog FIR Filter Achieving -70dB Rejection with Sharp Transition for Narrowband Receivers.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023
An 8.09TOPS/W Neural Engine Leveraging Bit-Sparsified Sign-Magnitude Multiplications and Dual Adder Trees.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
SONA: An Accelerator for Transform-Domain Neural Networks with Sparse-Orthogonal Weights.
Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023
2022
A Power-Efficient Brain-Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman Primates.
IEEE Trans. Biomed. Circuits Syst., 2022
Audio and Image Cross-Modal Intelligence via a 10TOPS/W 22nm SoC with Back-Propagation and Dynamic Power Gating.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022
A 22nm 3.5TOPS/W Flexible Micro-Robotic Vision SoC with 2MB eMRAM for Fully-on-Chip Intelligence.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022
2021
An Ultra-Low-Power Image Signal Processor for Hierarchical Image Recognition With Deep Neural Networks.
IEEE J. Solid State Circuits, 2021
Proceedings of the IEEE International Solid-State Circuits Conference, 2021
2020
Proceedings of the IEEE Symposium on VLSI Circuits, 2020
A 170μW Image Signal Processor Enabling Hierarchical Image Recognition for Intelligence at the Edge.
Proceedings of the IEEE Symposium on VLSI Circuits, 2020
2019
A 1.74.12 mm<sup>3</sup> Fully Integrated pH Sensor for Implantable Applications using Differential Sensing and Drift-Compensation.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019