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Sanghoon Kang
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2020 – today
- 2023
- [j18]Sanghoon Kang, Yunfei Gao, Jaeho Jeong, Seong-Joon Park, Jae-Won Kim, Jong-Seon No, Ha Hyeon Jeon, Jeong Wook Lee, Sunghwan Kim, Hosung Park, Albert No:
Generative Adversarial Networks for DNA Storage Channel Simulator. IEEE Access 11: 3781-3793 (2023) - [j17]Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC. IEEE J. Solid State Circuits 58(1): 177-188 (2023) - [j16]Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation. IEEE Micro 43(3): 74-82 (2023) - 2022
- [j15]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) - [j14]Surin Gweon, Sanghoon Kang, Kwantae Kim, Hoi-Jun Yoo:
FlashMAC: A Time-Frequency Hybrid MAC Architecture With Variable Latency-Aware Scheduling for TinyML Systems. IEEE J. Solid State Circuits 57(10): 2944-2956 (2022) - [j13]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) - [c21]Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms. COOL CHIPS 2022: 1-3 - [c20]Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip. HCS 2022: 1-25 - [c19]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 - 2021
- [j12]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) - [j11]Sanghoon Kang, Hanhoon Park, Jong-Il Park:
Identification of Multiple Image Steganographic Methods Using Hierarchical ResNets. IEICE Trans. Inf. Syst. 104-D(2): 350-353 (2021) - [j10]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) - [j9]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) - [c18]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 - 2020
- [j8]Sanghoon Kang, Hanhoon Park, Jong-Il Park:
Combining LSB embedding with modified Octa-PVD embedding. Multim. Tools Appl. 79(29-30): 21155-21175 (2020) - [j7]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) - [j6]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) - [j5]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) - [c17]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 - [c16]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 - [c15]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 - [c14]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
2010 – 2019
- 2019
- [j4]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) - [j3]Jongwoo Lee, Kiyong Son, Hyungsun Lim, Daechul Jeong, Ilyong Jong, Sanghyun Baek, Jae Hoon Lee, Ronghua Ni, Yongrong Zuo, Chih-Wei Yao, Seungchan Heo, Sangwook Han, Thomas Byunghak Cho, Inyup Kang, Joonhee Lee, Byoungjoong Kang, Jeongyeol Bae, Jaehyuk Jang, Seunghyun Oh, Ji-Soo Chang, Sanghoon Kang:
A Sub-6-GHz 5G New Radio RF Transceiver Supporting EN-DC With 3.15-Gb/s DL and 1.27-Gb/s UL in 14-nm FinFET CMOS. IEEE J. Solid State Circuits 54(12): 3541-3552 (2019) - [c13]Jaeyoung Kim, Sanghoon Kang, Hanhoon Park, Jong-Il Park:
Dual Convolutional Neural Network for Image Steganalysis. BMSB 2019: 1-4 - [c12]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 - [c11]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 - [c10]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 - [c9]Jongwoo Lee, Sangwook Han, Joonhee Lee, Byoungjoong Kang, Jeongyeol Bae, Jaehyuk Jang, Seunghyun Oh, Su-Seob Ahn, Sanghoon Kang, Quang-Diep Bui, Kiyong Son, Hyungsun Lim, Daechul Jeong, Ronghua Ni, Yongrong Zuo, Ilyong Jong, Chih-Wei Yao, Seungchan Heo, Thomas Byunghak Cho, Inyup Kang:
A Sub-6GHz 5G New Radio RF Transceiver Supporting EN-DC with 3.15Gb/s DL and 1.27Gb/s UL in 14nm FinFET CMOS. ISSCC 2019: 354-356 - [c8]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- - 2018
- [j2]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) - [c7]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 - [c6]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 - [c5]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
- [c4]Sanghoon Kang, Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Hoi-Jun Yoo:
A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices. ISCAS 2017: 1-4 - [c3]Kyeongryeol Bong, Sungpill Choi, Changhyeon Kim, Sanghoon Kang, Youchang Kim, Hoi-Jun Yoo:
14.6 A 0.62mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector. ISSCC 2017: 248-249 - 2014
- [c2]Yang Li, Ni Xu, Yining Zhang, Woogeun Rhee, Sanghoon Kang, Zhihua Wang:
A 0.65V 1.2mW 2.4GHz/400MHz dual-mode phase modulator for mobile healthcare applications. A-SSCC 2014: 261-264 - 2010
- [c1]Jae-Hong Chang, Huijung Kim, Jeong-Hyun Choi, Hangun Chung, Jungwook Heo, Sanghoon Kang, Jong-Dae Bae, Heetae Oh, Youngwoon Kim, Taek-Won Kwon, Ryan Kim, Wooseung Choo, Dojun Rhee, Byeong-Ha Park:
A multistandard multiband mobile TV RF SoC in 65nm CMOS. ISSCC 2010: 462-463
2000 – 2009
- 2007
- [j1]Joon Jin Song, Ho-Jin Lee, Jeffrey S. Morris, Sanghoon Kang:
Clustering of time-course gene expression data using functional data analysis. Comput. Biol. Chem. 31(4): 265-274 (2007)
Coauthor Index
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