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Changhyeon Kim
Changhyeon Kim
Verified email at kaist.ac.kr - Homepage
Title
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Cited by
Year
UNPU: An energy-efficient deep neural network accelerator with fully variable weight bit precision
J Lee, C Kim, S Kang, D Shin, S Kim, HJ Yoo
IEEE Journal of Solid-State Circuits 54 (1), 173-185, 2018
2942018
UNPU: A 50.6 TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision
J Lee, C Kim, S Kang, D Shin, S Kim, HJ Yoo
2018 IEEE International Solid-State Circuits Conference-(ISSCC), 218-220, 2018
2762018
14.6 A 0.62 mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector
K Bong, S Choi, C Kim, S Kang, Y Kim, HJ Yoo
2017 IEEE International Solid-State Circuits Conference (ISSCC), 248-249, 2017
1732017
A low-power convolutional neural network face recognition processor and a CIS integrated with always-on face detector
K Bong, S Choi, C Kim, D Han, HJ Yoo
IEEE Journal of Solid-State Circuits 53 (1), 115-123, 2017
1012017
A wearable EEG-HEG-HRV multimodal system with simultaneous monitoring of tES for mental health management
U Ha, Y Lee, H Kim, T Roh, J Bae, C Kim, HJ Yoo
IEEE transactions on biomedical circuits and systems 9 (6), 758-766, 2015
602015
A 2.1 TFLOPS/W mobile deep RL accelerator with transposable PE array and experience compression
C Kim, S Kang, D Shin, S Choi, Y Kim, HJ Yoo
2019 IEEE International Solid-State Circuits Conference-(ISSCC), 136-138, 2019
532019
An ultra-low-power analog-digital hybrid CNN face recognition processor integrated with a CIS for always-on mobile devices
JH Kim, C Kim, K Kim, HJ Yoo
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
402019
A 502-GOPS and 0.984-mW dual-mode intelligent ADAS SoC with real-time semiglobal matching and intention prediction for smart automotive black box system
KJ Lee, K Bong, C Kim, J Jang, KR Lee, J Lee, G Kim, HJ Yoo
IEEE Journal of Solid-State Circuits 52 (1), 139-150, 2016
372016
Low-power convolutional neural network processor for a face-recognition system
K Bong, S Choi, C Kim, HJ Yoo
IEEE Micro 37 (6), 30-38, 2017
342017
B-Face: 0.2 mW CNN-based face recognition processor with face alignment for mobile user identification
S Kang, J Lee, C Kim, HJ Yoo
2018 IEEE symposium on VLSI circuits, 137-138, 2018
272018
An ultra-low-power and mixed-mode event-driven face detection SoC for always-on mobile applications
C Kim, K Bong, I Hong, K Lee, S Choi, HJ Yoo
ESSCIRC 2017-43rd IEEE European Solid State Circuits Conference, 255-258, 2017
272017
14.2 a 502gops and 0.984 mw dual-mode adas soc with rnn-fis engine for intention prediction in automotive black-box system
KJ Lee, K Bong, C Kim, J Jang, H Kim, J Lee, KR Lee, G Kim, HJ Yoo
2016 IEEE International Solid-State Circuits Conference (ISSCC), 256-257, 2016
262016
Low-power scalable 3-d face frontalization processor for cnn-based face recognition in mobile devices
S Kang, J Lee, K Bong, C Kim, Y Kim, HJ Yoo
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018
182018
A 1.02-μW STT-MRAM-Based DNN ECG Arrhythmia Monitoring SoC With Leakage-Based Delay MAC Unit
KR Lee, J Kim, C Kim, D Han, J Lee, J Lee, H Jeong, HJ Yoo
IEEE Solid-State Circuits Letters 3, 390-393, 2020
152020
UNPU: A 50.6 TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision. In 2018 IEEE International Solid-State Circuits Conference-(ISSCC)
J Lee, C Kim, S Kang, D Shin, S Kim, HJ Yoo
IEEE 6, 218-220, 2018
152018
21.9 A wearable EEG-HEG-HRV multimodal system with real-time tES monitoring for mental health management
U Ha, Y Lee, H Kim, T Roh, J Bae, C Kim, HJ Yoo
2015 IEEE International Solid-State Circuits Conference-(ISSCC) Digest of …, 2015
142015
A 0.22–0.89 mW low-power and highly-secure always-on face recognition processor with adversarial attack prevention
Y Kim, D Han, C Kim, HJ Yoo
IEEE Transactions on Circuits and Systems II: Express Briefs 67 (5), 846-850, 2020
122020
A 0.5 V 9.26 μW 15.28 mΩ/√ Hz Bio-Impedance Sensor IC With 0.55° Overall Phase Error.
K Kim, JH Kim, S Gweon, J Lee, M Kim, Y Lee, S Kim, HJ Yoo
ISSCC, 364-366, 2019
122019
A multimodal stress monitoring system with canonical correlation analysis
U Ha, C Kim, Y Lee, H Kim, T Roh, HJ Yoo
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
102015
An energy-efficient deep reinforcement learning accelerator with transposable PE array and experience compression
C Kim, S Kang, S Choi, D Shin, Y Kim, HJ Yoo
IEEE Solid-State Circuits Letters 2 (11), 228-231, 2019
72019
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