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79
S. Jung, S. Moon, Y. Lee, and J. Kung, "MixNet: An energy-scalable and computationally lightweight deep learning accelerator," ACM/IEEE International Symposium on Low Power Electronics and Design (ISL
S. Jung, S. Moon, Y. Lee, and J. Kung, "MixNet: An energy-scalable and computationally lightweight deep learning accelerator," ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2019.
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78
D. Kam and Y. Lee, "Ultra-low-latency parallel SC polar decoding architecture for 5G wireless communications," IEEE International Symposium on Circuits and Systems (ISCAS), 2019, pp. 1-5. (Student Tra
D. Kam and Y. Lee, "Ultra-low-latency parallel SC polar decoding architecture for 5G wireless communications," IEEE International Symposium on Circuits and Systems (ISCAS), 2019, pp. 1-5. (Student Travel Grant Award)
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77
J. Park, S. Moon, Y. Byun, S. Lee, and Y. Lee, "Multi-level weight indexing scheme for memory-reduced convolutional neural network," IEEE International Conference on Artificial Intelligence Circuits a
J. Park, S. Moon, Y. Byun, S. Lee, and Y. Lee, "Multi-level weight indexing scheme for memory-reduced convolutional neural network," IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019, pp. 284-287. (Student Travel Grant Award)
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76
Y. Byun, M. Ha, J. Kim, S. Lee, and Y. Lee, "Low-complexity dynamic channel scaling of noise-resilient CNN for intelligent edge devices," IEEE/ACM Design, Automation and Test in Europe (DATE), 2019, p
Y. Byun, M. Ha, J. Kim, S. Lee, and Y. Lee, "Low-complexity dynamic channel scaling of noise-resilient CNN for intelligent edge devices," IEEE/ACM Design, Automation and Test in Europe (DATE), 2019, pp. 114-119.
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75
H. Lee, Y. Byun, S. Hwang, S. Lee, and Y. Lee, "Fixed-point quantization of 3D convolutional neural networks for energy-efficient action recognition," IEEE International SoC Design Conference (ISOCC),
H. Lee, Y. Byun, S. Hwang, S. Lee, and Y. Lee, "Fixed-point quantization of 3D convolutional neural networks for energy-efficient action recognition," IEEE International SoC Design Conference (ISOCC), 2018, pp. 129-130.
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74
J. Jo, S. Hwang, S. Lee, and Y. Lee, "Multi-mode LSTM network for energy-efficient speech recognition," IEEE International SoC Design Conference (ISOCC), 2018, 133-134.
J. Jo, S. Hwang, S. Lee, and Y. Lee, "Multi-mode LSTM network for energy-efficient speech recognition," IEEE International SoC Design Conference (ISOCC), 2018, 133-134.
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73
J. Jung, I.-C. Park, and Y. Lee, "A 2.4pJ/bit, 6.37Gb/s SPC-enhanced BC-BCH decoder in 65nm CMOS for NAND flash storage systems," IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 20
J. Jung, I.-C. Park, and Y. Lee, "A 2.4pJ/bit, 6.37Gb/s SPC-enhanced BC-BCH decoder in 65nm CMOS for NAND flash storage systems," IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2018, pp. 329-330.
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72
Y. Park, Y. Kim, and Y. Lee, "High-performance two-step Lagrange interpolation technique for 4K UHD applications," IEEE International SoC Design Conference (ISOCC), 2017, pp. 268-269
Y. Park, Y. Kim, and Y. Lee, "High-performance two-step Lagrange interpolation technique for 4K UHD applications," IEEE International SoC Design Conference (ISOCC), 2017, pp. 268-269
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71
S. Hwang, J. Jung, D. Kim, J. Ha, I.-C. Park, and Y. Lee, "An energy-optimized (37840, 34320) symmetric BC-BCH decoder for healthy mobile storages," IEEE Asian Solid-State Circuits Conference (A-SSCC)
S. Hwang, J. Jung, D. Kim, J. Ha, I.-C. Park, and Y. Lee, "An energy-optimized (37840, 34320) symmetric BC-BCH decoder for healthy mobile storages," IEEE Asian Solid-State Circuits Conference (A-SSCC), 2017, pp. 169-172.
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70
S. Lee and M. Kang, “Iterative Localization of Network Nodes Using Absence of Distance Measurement Information,” IEEE International Symposium on Real-Time Distributed Computing(ISORC), May. 2016, pp.
S. Lee and M. Kang, “Iterative Localization of Network Nodes Using Absence of Distance Measurement Information,” IEEE International Symposium on Real-Time Distributed Computing(ISORC), May. 2016, pp. 79-83.
79S. Jung, S. Moon, Y. Lee, and J. Kung, "MixNet: An energy-scalable and computationally lightweight deep learning accelerator," ACM/IEEE International Symposium on Low Power Electronics and Design (ISLS. Jung, S. Moon, Y. Lee, and J. Kung, "MixNet: An energy-scalable and computationally lightweight deep learning accelerator," ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2019.