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2020 – today
- 2022
[j144]Kwantae Kim
, Sangyeob Kim, Hoi-Jun Yoo:
Design of Sub-10-μW Sub-0.1% THD Sinusoidal Current Generator IC for Bio-Impedance Sensing. IEEE J. Solid State Circuits 57(2): 586-595 (2022)- [j143]Dongseok Im, Donghyeon Han, Sanghoon Kang, Hoi-Jun Yoo:
A Pipelined Point Cloud Based Neural Network Processor for 3-D Vision With Large-Scale Max Pooling Layer Prediction. IEEE J. Solid State Circuits 57(2): 661-670 (2022) - [j142]Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Ji-Hoon Kim, Donghyeon Han, Hoi-Jun Yoo:
OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer. IEEE J. Solid State Circuits 57(4): 999-1012 (2022) - [j141]Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo:
ECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training Processor. IEEE Micro 42(1): 99-107 (2022) - [j140]Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo:
A Mobile DNN Training Processor With Automatic Bit Precision Search and Fine-Grained Sparsity Exploitation. IEEE Micro 42(2): 16-25 (2022) - [j139]Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Donghyeon Han, Wooyoung Jo, Hoi-Jun Yoo:
TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning. IEEE Trans. Circuits Syst. I Regul. Pap. 69(4): 1494-1506 (2022) - [j138]Sangjin Kim, Sangyeob Kim, Juhyoung Lee, Hoi-Jun Yoo:
A Low-Power Graph Convolutional Network Processor With Sparse Grouping for 3D Point Cloud Semantic Segmentation in Mobile Devices. IEEE Trans. Circuits Syst. I Regul. Pap. 69(4): 1507-1518 (2022) - [j137]Sangwoo Ha, Sangjin Kim, Donghyeon Han, Soyeon Um, Hoi-Jun Yoo:
A 36.2 dB High SNR and PVT/Leakage-Robust eDRAM Computing-In-Memory Macro With Segmented BL and Reference Cell Array. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2433-2437 (2022) - [j136]Seokchan Song, Soyeon Kim, Gwangtae Park, Donghyeon Han, Hoi-Jun Yoo:
A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object Detection. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2443-2447 (2022) - [c249]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu:
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction. ISSCC 2022: 1-3 - [c248]Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo:
DSPU: A 281.6mW Real-Time Depth Signal Processing Unit for Deep Learning-Based Dense RGB-D Data Acquisition with Depth Fusion and 3D Bounding Box Extraction in Mobile Platforms. ISSCC 2022: 510-512 - [i5]Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Hoi-Jun Yoo:
Two-Step Spike Encoding Scheme and Architecture for Highly Sparse Spiking-Neural-Network. CoRR abs/2202.03601 (2022) - [i4]Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Hoi-Jun Yoo:
Energy-efficient Dense DNN Acceleration with Signed Bit-slice Architecture. CoRR abs/2203.07679 (2022) - 2021
- [j135]Sanghoon Kang, Gwangtae Park, Sangjin Kim, Soyeon Kim, Donghyeon Han, Hoi-Jun Yoo:
An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 634-648 (2021) - [j134]Jaehyuk Lee, Surin Gweon, Kwonjoon Lee, Soyeon Um, Kyoung-Rog Lee, Hoi-Jun Yoo:
A 9.6-mW/Ch 10-MHz Wide-Bandwidth Electrical Impedance Tomography IC With Accurate Phase Compensation for Early Breast Cancer Detection. IEEE J. Solid State Circuits 56(3): 887-898 (2021) - [j133]Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo:
DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning. IEEE J. Solid State Circuits 56(5): 1630-1640 (2021) - [j132]Jihee Lee, Kyoung-Rog Lee, Benjamin E. Eovino, Jeong Hoan Park, Luna Yue Liang, Liwei Lin, Hoi-Jun Yoo, Jerald Yoo:
A 36-Channel Auto-Calibrated Front-End ASIC for a pMUT-Based Miniaturized 3-D Ultrasound System. IEEE J. Solid State Circuits 56(6): 1910-1923 (2021) - [j131]Sanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, Junha Ryu, Hoi-Jun Yoo:
GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity Exploitation. IEEE J. Solid State Circuits 56(9): 2845-2857 (2021) - [j130]Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo:
HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching. IEEE J. Solid State Circuits 56(9): 2858-2869 (2021) - [j129]Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Hoi-Jun Yoo:
An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific Optimization. IEEE J. Solid State Circuits 56(10): 2968-2980 (2021) - [j128]Kwonjoon Lee, Hoi-Jun Yoo:
Simultaneous Electrical Bio-Impedance Plethysmography at Different Body Parts: Continuous and Non-Invasive Monitoring of Pulse Wave Velocity. IEEE Trans. Biomed. Circuits Syst. 15(5): 1027-1038 (2021) - [j127]Soyeon Um, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo:
A 43.1TOPS/W Energy-Efficient Absolute-Difference-Accumulation Operation Computing-In-Memory With Computation Reuse. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1605-1609 (2021) - [j126]Soyeon Kim, Sangjin Kim, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo:
A 64.1mW Accurate Real-Time Visual Object Tracking Processor With Spatial Early Stopping on Siamese Network. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1675-1679 (2021) - [j125]Junha Ryu, Gwangtae Park, Dongseok Im, Ji-Hoon Kim, Hoi-Jun Yoo:
A 0.82 μW CIS-Based Action Recognition SoC With Self-Adjustable Frame Resolution for Always-on IoT Devices. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1700-1704 (2021) - [c247]Juhyoung Lee, Changhyeon Kim, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo:
Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous Systems. AICAS 2021: 1-4 - [c246]Surin Gweon, Sanghoon Kang, Donghyeon Han, Kyoung-Rog Lee, Kwantae Kim, Hoi-Jun Yoo:
FlashMAC: An Energy-Efficient Analog-Digital Hybrid MAC with Variable Latency-Aware Scheduling. A-SSCC 2021: 1-3 - [c245]Wooyoung Jo, Juhyoung Lee, Seunghyun Park, Hoi-Jun Yoo:
An Energy-Efficient Deep Reinforcement Learning FPGA Accelerator for Online Fast Adaptation with Selective Mixed-precision Re-training. A-SSCC 2021: 1-3 - [c244]Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo:
An Energy-Efficient Deep Neural Network Training Processor with Bit-Slice-Level Reconfigurability and Sparsity Exploitation. COOL CHIPS 2021: 1-3 - [c243]Sangjin Kim, Juhyoung Lee, Dongseok Im, Hoi-Jun Yoo:
PNNPU: A Fast and Efficient 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access. HCS 2021: 1-23 - [c242]Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo:
An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory. HCS 2021: 1-20 - [c241]Juhyoung Lee, Sangyeob Kim, Ji-Hoon Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Hoi-Jun Yoo:
OmniDRL: An Energy-Efficient Mobile Deep Reinforcement Learning Accelerators with Dual-mode Weight Compression and Direct Processing of Compressed Data. HCS 2021: 1-21 - [c240]Zhiyong Li, Dongseok Im, Jinsu Lee, Hoi-Jun Yoo:
A 3.6 TOPS/W Hybrid FP-FXP Deep Learning Processor with Outlier Compensation for Image-to-Image Application. ISCAS 2021: 1-5 - [c239]Sangjin Kim, Juhyoung Lee, Dongseok Im, Hoi-Jun Yoo:
PNNPU: A 11.9 TOPS/W High-speed 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access. VLSI Circuits 2021: 1-2 - [c238]Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Jinsu Lee, Hoi-Jun Yoo:
A 13.7 TFLOPS/W Floating-point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory. VLSI Circuits 2021: 1-2 - [c237]Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo:
OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight Transposer. VLSI Circuits 2021: 1-2 - [i3]Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Hoi-Jun Yoo:
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning. CoRR abs/2101.09650 (2021) - 2020
- [j124]Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo:
SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 320-334 (2020) - [j123]Kwantae Kim, Ji-Hoon Kim, Surin Gweon, Minseo Kim, Hoi-Jun Yoo:
A 0.5-V Sub-10-μW 15.28-mΩ/√Hz Bio-Impedance Sensor IC With Sub-1° Phase Error. IEEE J. Solid State Circuits 55(8): 2161-2173 (2020) - [j122]Jaeeun Jang, Jihee Lee, Hyunwoo Cho, Jaehyuk Lee, Hoi-Jun Yoo:
Wireless Body-Area-Network Transceiver and Low-Power Receiver With High Application Expandability. IEEE J. Solid State Circuits 55(10): 2781-2789 (2020) - [j121]Dongjoo Shin, Hoi-Jun Yoo:
The Heterogeneous Deep Neural Network Processor With a Non-von Neumann Architecture. Proc. IEEE 108(8): 1245-1260 (2020) - [j120]Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinsu Lee, Hoi-Jun Yoo:
A Power-Efficient CNN Accelerator With Similar Feature Skipping for Face Recognition in Mobile Devices. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(4): 1181-1193 (2020) - [j119]Youngwoo Kim, Donghyeon Han, Changhyeon Kim, Hoi-Jun Yoo:
A 0.22-0.89 mW Low-Power and Highly-Secure Always-On Face Recognition Processor With Adversarial Attack Prevention. IEEE Trans. Circuits Syst. II Express Briefs 67-II(5): 846-850 (2020) - [j118]Gwangtae Park, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo:
A 1.15 TOPS/W Energy-Efficient Capsule Network Accelerator for Real-Time 3D Point Cloud Segmentation in Mobile Environment. IEEE Trans. Circuits Syst. II Express Briefs 67-II(9): 1594-1598 (2020) - [j117]Jinsu Lee, Sanghoon Kang, Jinmook Lee, Dongjoo Shin, Donghyeon Han, Hoi-Jun Yoo:
The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices. IEEE Trans. Circuits Syst. 67-I(10): 3458-3470 (2020) - [j116]Dongseok Im, Donghyeon Han, Sungpill Choi, Sanghoon Kang, Hoi-Jun Yoo:
DT-CNN: An Energy-Efficient Dilated and Transposed Convolutional Neural Network Processor for Region of Interest Based Image Segmentation. IEEE Trans. Circuits Syst. 67-I(10): 3471-3483 (2020) - [j115]Kyuho Jason Lee, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo:
The Development of Silicon for AI: Different Design Approaches. IEEE Trans. Circuits Syst. 67-I(12): 4719-4732 (2020) - [c236]Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo:
An Energy-Efficient GAN Accelerator with On-chip Training for Domain Specific Optimization. A-SSCC 2020: 1-4 - [c235]Jaehyuk Lee, Surin Gweon, Kwonjoon Lee, Soyeon Um, Kyoung-Rog Lee, Kwantae Kim, Jihee Lee, Hoi-Jun Yoo:
A 9.6 mW/Ch 10 MHz Wide-bandwidth Electrical Impedance Tomography IC with Accurate Phase Compensation for Breast Cancer Detection. CICC 2020: 1-4 - [c234]Hoi-Jun Yoo:
Deep Learning Processors for On-Device Intelligence. ACM Great Lakes Symposium on VLSI 2020: 1-8 - [c233]Sangjin Kim, Sangyeob Kim, Juhyoung Lee, Hoi-Jun Yoo:
A 54.7 fps 3D Point Cloud Semantic Segmentation Processor with Sparse Grouping Based Dilated Graph Convolutional Network for Mobile Devices. ISCAS 2020: 1-5 - [c232]Sanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, Hoi-Jun Yoo:
7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation. ISSCC 2020: 140-142 - [c231]Dongseok Im, Sanghoon Kang, Donghyeon Han, Sungpill Choi, Hoi-Jun Yoo:
A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices. VLSI Circuits 2020: 1-2 - [c230]Kwantae Kim, Changhyeon Kim, Sungpill Choi, Hoi-Jun Yoo:
A 0.5V, 6.2μW, 0.059mm2 Sinusoidal Current Generator IC with 0.088% THD for Bio-Impedance Sensing. VLSI Circuits 2020: 1-2 - [c229]Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinmook Lee, Hoi-Jun Yoo:
A 146.52 TOPS/W Deep-Neural-Network Learning Processor with Stochastic Coarse-Fine Pruning and Adaptive Input/Output/Weight Skipping. VLSI Circuits 2020: 1-2 - [c228]Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo, Joo-Young Kim:
Z-PIM: An Energy-Efficient Sparsity Aware Processing-In-Memory Architecture with Fully-Variable Weight Precision. VLSI Circuits 2020: 1-2 - [i2]Donghyeon Han, Gwangtae Park, Junha Ryu, Hoi-Jun Yoo:
Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning. CoRR abs/2006.12830 (2020)
2010 – 2019
- 2019
- [j114]Chia-Yu Chen, Boris Murmann, Jae-sun Seo, Hoi-Jun Yoo:
Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 247-252 (2019) - [j113]Sungpill Choi, Kyeongryeol Bong, Donghyeon Han, Hoi-Jun Yoo:
CNNP-v2: A Memory-Centric Architecture for Low-Power CNN Processor on Domain-Specific Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 598-611 (2019) - [j112]Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo:
UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision. IEEE J. Solid State Circuits 54(1): 173-185 (2019) - [j111]Jaeeun Jang, Jihee Lee, Kyoung-Rog Lee, Jiwon Lee, Minseo Kim, Yongsu Lee, Joonsung Bae, Hoi-Jun Yoo:
A Four-Camera VGA-Resolution Capsule Endoscope System With 80-Mb/s Body Channel Communication Transceiver and Sub-Centimeter Range Capsule Localization. IEEE J. Solid State Circuits 54(2): 538-549 (2019) - [j110]Jaehyuk Lee, Kyoung-Rog Lee, Unsoo Ha, Ji-Hoon Kim, Kwonjoon Lee, Surin Gweon, Jaeeun Jang, Hoi-Jun Yoo:
A 0.8-V 82.9- $\mu$ W In-Ear BCI Controller IC With 8.8 PEF EEG Instrumentation Amplifier and Wireless BAN Transceiver. IEEE J. Solid State Circuits 54(4): 1185-1195 (2019) - [j109]Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo:
A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(5): 1794-1804 (2019) - [c227]Sungpill Choi, Kyeongryeol Bong, Donghyeon Han, Hoi-Jun Yoo:
CNNP-v2: An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture. AICAS 2019: 38-41 - [c226]Jihee Lee, Jaeeun Jang, Jaehyuk Lee, Hoi-Jun Yoo:
A battery-less 31 µW HBC receiver with RF energy harvester for implantable devices. A-SSCC 2019: 177-180 - [c225]Jaeeun Jang, Hyunwoo Cho, Hoi-Jun Yoo:
An 802.15.6 HBC Standard Compatible Transceiver and 90 pJ/b Full-Duplex Transceiver for Body Channel Communication. BioCAS 2019: 1-4 - [c224]Jaeeun Jang, Hoi-Jun Yoo:
Analysis of Channel Characteristic for Body Channel Communication Transceiver Design. BODYNETS 2019: 374-383 - [c223]Jaeeun Jang, Joonsung Bae, Hoi-Jun Yoo:
Understanding Body Channel Communication : A review: from history to the future applications. CICC 2019: 1-8 - [c222]Hoi-Jun Yoo:
Mobile Deep Learning Processors on the Edge. CICC 2019: 1-91 - [c221]Donghyeon Han, Hoi-Jun Yoo:
Direct Feedback Alignment Based Convolutional Neural Network Training for Low-Power Online Learning Processor. ICCV Workshops 2019: 2445-2452 - [c220]Surin Gweon, Jaehyuk Lee, Kwantae Kim, Hoi-Jun Yoo:
93.8% Current Efficiency and 0.672 ns Transient Response Reconfigurable LDO for Wireless Sensor Network Systems. ISCAS 2019: 1-5 - [c219]Dongseok Im, Donghyeon Han, Sungpill Choi, Sanghoon Kang, Hoi-Jun Yoo:
DT-CNN: Dilated and Transposed Convolution Neural Network Accelerator for Real-Time Image Segmentation on Mobile Devices. ISCAS 2019: 1-5 - [c218]Ji-Hoon Kim, Changhyeon Kim, Kwantae Kim, Hoi-Jun Yoo:
An Ultra-Low-Power Analog-Digital Hybrid CNN Face Recognition Processor Integrated with a CIS for Always-on Mobile Devices. ISCAS 2019: 1-5 - [c217]Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinsu Lee, Hoi-Jun Yoo:
A 15.2 TOPS/W CNN Accelerator with Similar Feature Skipping for Face Recognition in Mobile Devices. ISCAS 2019: 1-5 - [c216]Hoi-Jun Yoo:
Intelligence on Silicon: From Deep-Neural-Network Accelerators to Brain Mimicking AI-SoCs. ISSCC 2019: 20-26 - [c215]Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sungpill Choi, Youngwoo Kim, Hoi-Jun Yoo:
A 2.1TFLOPS/W Mobile Deep RL Accelerator with Transposable PE Array and Experience Compression. ISSCC 2019: 136-138 - [c214]Jinsu Lee, Juhyoung Lee, Donghyeon Han, Jinmook Lee, Gwangtae Park, Hoi-Jun Yoo:
LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16. ISSCC 2019: 142-144 - [c213]Jihee Lee, Kyoung-Rog Lee, Benjamin E. Eovino, Jeong Hoan Park, Liwei Lin, Hoi-Jun Yoo, Jerald Yoo:
A 5.37mW/Channel Pitch-Matched Ultrasound ASIC with Dynamic-Bit-Shared SAR ADC and 13.2V Charge-Recycling TX in Standard CMOS for Intracardiac Echocardiography. ISSCC 2019: 190-192 - [c212]Yongsu Lee, Kwantae Kim, Jiwon Lee, Kyoung-Rog Lee, Surin Gweon, Minseo Kim, Hoi-Jun Yoo:
A 7.0fps Optical and Electrical Dual Tomographic Imaging SoC for Skin-Disease Diagnosis System. ISSCC 2019: 288-289 - [c211]Kwantae Kim, Ji-Hoon Kim, Surin Gweon, Jiwon Lee, Minseo Kim, Yongsu Lee, Soyeon Kim, Hoi-Jun Yoo:
A 0.5V 9.26μW 15.28mΩ/√Hz Bio-Impedance Sensor IC With 0.55° Overall Phase Error. ISSCC 2019: 364-366 - [c210]Juhyoung Lee, Dongjoo Shin, Jinsu Lee, Jinmook Lee, Sanghoon Kang, Hoi-Jun Yoo:
A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices. VLSI Circuits 2019: 302- - [c209]Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo:
A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture. VLSI Circuits 2019: 304- - [i1]Donghyeon Han, Hoi-Jun Yoo:
Efficient Convolutional Neural Network Training with Direct Feedback Alignment. CoRR abs/1901.01986 (2019) - 2018
- [j108]Sanghoon Kang, Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Youchang Kim, Hoi-Jun Yoo:
Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 873-883 (2018) - [j107]Kyeongryeol Bong, Sungpill Choi, Changhyeon Kim, Donghyeon Han, Hoi-Jun Yoo:
A Low-Power Convolutional Neural Network Face Recognition Processor and a CIS Integrated With Always-on Face Detector. IEEE J. Solid State Circuits 53(1): 115-123 (2018) - [j106]Unsoo Ha, Jaehyuk Lee, Minseo Kim, Taehwan Roh, Sangsik Choi, Hoi-Jun Yoo:
An EEG-NIRS Multimodal SoC for Accurate Anesthesia Depth Monitoring. IEEE J. Solid State Circuits 53(6): 1830-1843 (2018) - [j105]Dongjoo Shin, Jinmook Lee, Jinsu Lee, Juhyoung Lee, Hoi-Jun Yoo:
DNPU: An Energy-Efficient Deep-Learning Processor with Heterogeneous Multi-Core Architecture. IEEE Micro 38(5): 85-93 (2018) - [j104]Marco Carminati, Jacob K. Rosenstein, Roland Thewes, Hoi-Jun Yoo:
Guest Editorial Special Issue on Advances and Open Challenges for Integrated Circuits Detecting Bio Molecules. IEEE Trans. Biomed. Circuits Syst. 12(6): 1334-1336 (2018) - [j103]Youchang Kim, Dongjoo Shin, Jinsu Lee, Yongsu Lee, Hoi-Jun Yoo:
A 0.55 V 1.1 mW Artificial Intelligence Processor With On-Chip PVT Compensation for Autonomous Mobile Robots. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(2): 567-580 (2018) - [c208]Jaeeun Jang, Hoi-Jun Yoo:
A Capsule Endoscope System for Wide Visualization Field and Location Tracking. BioCAS 2018: 1-4 - [c207]Marco Carminati, Roland Thewes, Jacob K. Rosenstein, Hoi-Jun Yoo:
Advances and Open Challenges for Integrated Circuits Detecting Bio-Molecules. ICECS 2018: 857-860 - [c206]Donghyeon Han, Jinsu Lee, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo:
A 141.4 mW Low-Power Online Deep Neural Network Training Processor for Real-time Object Tracking in Mobile Devices. ISCAS 2018: 1-5 - [c205]Juhyoung Lee, Changhyeon Kim, Sungpill Choi, Dongjoo Shin, Sanghoon Kang, Hoi-Jun Yoo:
A 46.1 fps Global Matching Optical Flow Estimation Processor for Action Recognition in Mobile Devices. ISCAS 2018: 1-5 - [c204]Jiwon Lee, Kyoung-Rog Lee, Hoi-Jun Yoo:
A 0.78 mW Low-Power 4.02 High-Compression Ratio Less than 10-6 BER Error-Tolerant Lossless Image Compression Hardware for Wireless Capsule Endoscopy System. ISCAS 2018: 1-4 - [c203]Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo:
UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision. ISSCC 2018: 218-220 - [c202]Sungpill Choi, Jinsu Lee, Kyuho Jason Lee, Hoi-Jun Yoo:
A 9.02mW CNN-stereo-based real-time 3D hand-gesture recognition processor for smart mobile devices. ISSCC 2018: 220-222 - [c201]Jaeeun Jang, Jihee Lee, Kyoung-Rog Lee, Jiwon Lee, Minseo Kim, Yongsu Lee, Joonsung Bae, Hoi-Jun Yoo:
4-Camera VGA-resolution capsule endoscope with 80Mb/s body-channel communication transceiver and Sub-cm range capsule localization. ISSCC 2018: 282-284 - [c200]Hoi-Jun Yoo:
Mobile/embedded DNN and AI SoCs. VLSI-DAT 2018: 1 - [c199]Jaehyuk Lee, Kyoung-Rog Lee, Unsoo Ha, Ji-Hoon Kim, Kwonjoon Lee, Hoi-Jun Yoo:
A 0.8V 82.9µW In-Ear BCI Controller System with 8.8 PEF EEG Instrumentational Amplifier and Wireless BAN Transceiver. VLSI Circuits 2018: 123-124 - [c198]Sanghoon Kang, Jinmook Lee, Changhyeon Kim, Hoi-Jun Yoo:
B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification. VLSI Circuits 2018: 137-138 - 2017
- [j102]Yongsu Lee, Hyeonwoo Lee, Jaeeun Jang, Jihee Lee, Minseo Kim, Jaehyuk Lee, Hyunki Kim, Seunghyup Yoo, Hoi-Jun Yoo:
Sticker-Type Hybrid Photoplethysmogram Monitoring System Integrating CMOS IC With Organic Optical Sensors. IEEE J. Emerg. Sel. Topics Circuits Syst. 7(1): 50-59 (2017) - [j101]Kyuho Jason Lee, Kyeongryeol Bong, Changhyeon Kim, Jaeeun Jang, Kyoung-Rog Lee, Jihee Lee, Gyeonghoon Kim, Hoi-Jun Yoo:
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. IEEE J. Solid State Circuits 52(1): 139-150 (2017) - [j100]Minseo Kim, Unsoo Ha, Kyuho Jason Lee, Yongsu Lee, Hoi-Jun Yoo:
A 82-nW Chaotic Map True Random Number Generator Based on a Sub-Ranging SAR ADC. IEEE J. Solid State Circuits 52(7): 1953-1965 (2017) - [j99]Minseo Kim, Jaeeun Jang, Hyunki Kim, Jihee Lee, Jaehyuk Lee, Jiwon Lee, Kyoung-Rog Lee, Kwantae Kim, Yongsu Lee, Kyuho Jason Lee, Hoi-Jun Yoo:
A 1.4-m $\Omega$ -Sensitivity 94-dB Dynamic-Range Electrical Impedance Tomography SoC and 48-Channel Hub-SoC for 3-D Lung Ventilation Monitoring System. IEEE J. Solid State Circuits 52(11): 2829-2842 (2017) - [j98]Youchang Kim, Dongjoo Shin, Jinsu Lee, Hoi-Jun Yoo:
BRAIN: A Low-Power Deep Search Engine for Autonomous Robots. IEEE Micro 37(5): 11-19 (2017) - [j97]Kyeongryeol Bong, Sungpill Choi, Changhyeon Kim, Hoi-Jun Yoo:
Low-Power Convolutional Neural Network Processor for a Face-Recognition System. IEEE Micro 37(6): 30-38 (2017) - [j96]Jinmook Lee, Seongwook Park, Injoon Hong, Hoi-Jun Yoo:
An Energy-Efficient Speech-Extraction Processor for Robust User Speech Recognition in Mobile Head-Mounted Display Systems. IEEE Trans. Circuits Syst. II Express Briefs 64-II(4): 457-461 (2017) - [j95]Jinsu Lee, Dongjoo Shin, Youchang Kim, Hoi-Jun Yoo:
A 17.5-fJ/bit Energy-Efficient Analog SRAM for Mixed-Signal Processing. IEEE Trans. Very Large Scale Integr. Syst. 25(10): 2714-2723 (2017) - [c197]