| 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 | 326 | 2018 |
| 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 | 287 | 2018 |
| 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 | 179 | 2017 |
| 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 | 106 | 2017 |
| 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 | 64 | 2015 |
| 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 | 55 | 2019 |
| 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 | 40 | 2019 |
| 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 | 39 | 2016 |
| 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 | 37 | 2017 |
| 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 | 27 | 2018 |
| 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 | 27 | 2016 |
| 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 | 26 | 2017 |
| 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 | 18 | 2018 |
| 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 | 17 | 2020 |
| 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 | 16 | 2018 |
| 22.3 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 2019 IEEE International Solid-State Circuits Conference-(ISSCC), 364-366, 2019 | 14 | 2019 |
| 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 | 14 | 2015 |
| 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 | 13 | 2020 |
| 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 | 10 | 2015 |
| 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 | 7 | 2019 |
Youchang KimApple Inc.在 apple.com 的电子邮件经过验证
