Clustering of time-course gene expression data using functional data analysis. - Joon Jin Song; Ho-Jin Lee; Jeffrey S. Morris; Sanghoon Kang (Comput. Biol. Chem., 2007)

A multistandard multiband mobile TV RF SoC in 65nm CMOS. - 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; et al. (ISSCC, 2010)

A 0.65V 1.2mW 2.4GHz/400MHz dual-mode phase modulator for mobile healthcare applications. - Yang Li; Ni Xu; Yining Zhang; Woogeun Rhee; Sanghoon Kang; Zhihua Wang 001 (A-SSCC, 2014)

A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices. - Sanghoon Kang; Jinmook Lee; Kyeongryeol Bong; Changhyeon Kim; Hoi-Jun Yoo (ISCAS, 2017)

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. - Kyeongryeol Bong; Sungpill Choi; Changhyeon Kim; Sanghoon Kang; Youchang Kim; Hoi-Jun Yoo (ISSCC, 2017)

A 46.1 fps Global Matching Optical Flow Estimation Processor for Action Recognition in Mobile Devices. - Juhyoung Lee; Changhyeon Kim; Sungpill Choi; Dongjoo Shin; Sanghoon Kang; Hoi-Jun Yoo (ISCAS, 2018)

UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision. - Jinmook Lee; Changhyeon Kim; Sanghoon Kang; Dongjoo Shin; Sangyeob Kim; Hoi-Jun Yoo (ISSCC, 2018)

B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification. - Sanghoon Kang; Jinmook Lee; Changhyeon Kim; Hoi-Jun Yoo (VLSI Circuits, 2018)

Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices. - Sanghoon Kang; Jinmook Lee; Kyeongryeol Bong; Changhyeon Kim; Youchang Kim; Hoi-Jun Yoo (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

Dual Convolutional Neural Network for Image Steganalysis. - Jaeyoung Kim; Sanghoon Kang; Hanhoon Park; Jong-Il Park (BMSB, 2019)

DT-CNN: Dilated and Transposed Convolution Neural Network Accelerator for Real-Time Image Segmentation on Mobile Devices. - Dongseok Im; Donghyeon Han; Sungpill Choi; Sanghoon Kang; Hoi-Jun Yoo (ISCAS, 2019)

A 15.2 TOPS/W CNN Accelerator with Similar Feature Skipping for Face Recognition in Mobile Devices. - Sangyeob Kim; Juhyoung Lee; Sanghoon Kang; Jinsu Lee; Hoi-Jun Yoo (ISCAS, 2019)

A 2.1TFLOPS/W Mobile Deep RL Accelerator with Transposable PE Array and Experience Compression. - Changhyeon Kim; Sanghoon Kang; Dongjoo Shin; Sungpill Choi; Youngwoo Kim; Hoi-Jun Yoo (ISSCC, 2019)

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. - 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; et al. (ISSCC, 2019)

A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices. - Juhyoung Lee; Dongjoo Shin; Jinsu Lee; Jinmook Lee; Sanghoon Kang; Hoi-Jun Yoo (VLSI Circuits, 2019)

UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision. - Jinmook Lee; Changhyeon Kim; Sanghoon Kang; Dongjoo Shin; Sangyeob Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2019)

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. - 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; et al. (IEEE J. Solid State Circuits, 2019)

7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation. - Sanghoon Kang; Donghyeon Han; Juhyoung Lee; Dongseok Im; Sangyeob Kim; Soyeon Kim; Hoi-Jun Yoo (ISSCC, 2020)

A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices. - Dongseok Im; Sanghoon Kang; Donghyeon Han; Sungpill Choi; Hoi-Jun Yoo (VLSI Circuits, 2020)

A 146.52 TOPS/W Deep-Neural-Network Learning Processor with Stochastic Coarse-Fine Pruning and Adaptive Input/Output/Weight Skipping. - Sangyeob Kim; Juhyoung Lee; Sanghoon Kang; Jinmook Lee; Hoi-Jun Yoo (VLSI Circuits, 2020)

Combining LSB embedding with modified Octa-PVD embedding. - Sanghoon Kang; Hanhoon Park; Jong-Il Park (Multim. Tools Appl., 2020)

DT-CNN: An Energy-Efficient Dilated and Transposed Convolutional Neural Network Processor for Region of Interest Based Image Segmentation. - Dongseok Im; Donghyeon Han; Sungpill Choi; Sanghoon Kang; Hoi-Jun Yoo (IEEE Trans. Circuits Syst., 2020)

A Power-Efficient CNN Accelerator With Similar Feature Skipping for Face Recognition in Mobile Devices. - Sangyeob Kim; Juhyoung Lee; Sanghoon Kang; Jinsu Lee; Hoi-Jun Yoo (IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020)

The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices. - Jinsu Lee; Sanghoon Kang; Jinmook Lee; Dongjoo Shin; Donghyeon Han; Hoi-Jun Yoo (IEEE Trans. Circuits Syst., 2020)

FlashMAC: An Energy-Efficient Analog-Digital Hybrid MAC with Variable Latency-Aware Scheduling. - Surin Gweon; Sanghoon Kang; Donghyeon Han; Kyoung-Rog Lee; Kwantae Kim; Hoi-Jun Yoo (A-SSCC, 2021)

An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations. - Sanghoon Kang; Gwangtae Park; Sangjin Kim; Soyeon Kim; Donghyeon Han; Hoi-Jun Yoo (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Identification of Multiple Image Steganographic Methods Using Hierarchical ResNets. - Sanghoon Kang; Hanhoon Park; Jong-Il Park (IEICE Trans. Inf. Syst., 2021)

GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity Exploitation. - Sanghoon Kang; Donghyeon Han; Juhyoung Lee; Dongseok Im; Sangyeob Kim; Soyeon Kim; Junha Ryu; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2021)

An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific Optimization. - Soyeon Kim; Sanghoon Kang; Donghyeon Han; Sangjin Kim; Sangyeob Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2021)

A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms. - Dongseok Im; Gwangtae Park; Junha Ryu; Zhiyong Li 016; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Wonhoon Park; Hankyul Kwon; Hoi-Jun Yoo (COOL CHIPS, 2022)

DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip. - Dongseok Im; Gwangtae Park; Zhiyong Li 016; Junha Ryu; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Wonhoon Park; Hankyul Kwon; Hoi-Jun Yoo (HCS, 2022)

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. - Dongseok Im; Gwangtae Park; Zhiyong Li 016; Junha Ryu; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Hoi-Jun Yoo (ISSCC, 2022)

FlashMAC: A Time-Frequency Hybrid MAC Architecture With Variable Latency-Aware Scheduling for TinyML Systems. - Surin Gweon; Sanghoon Kang; Kwantae Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2022)

A Pipelined Point Cloud Based Neural Network Processor for 3-D Vision With Large-Scale Max Pooling Layer Prediction. - Dongseok Im; Donghyeon Han; Sanghoon Kang; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2022)

TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning. - Sangyeob Kim; Juhyoung Lee; Sanghoon Kang; Donghyeon Han; Wooyoung Jo; Hoi-Jun Yoo (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Generative Adversarial Networks for DNA Storage Channel Simulator. - Sanghoon Kang; Yunfei Gao; Jaeho Jeong; Seong-Joon Park; Jae-Won Kim; Jong-Seon No; Ha Hyeon Jeon; Jeong Wook Lee; Sunghwan Kim 001; Hosung Park; Albert No (IEEE Access, 2023)

DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC. - Dongseok Im; Gwangtae Park; Junha Ryu; Zhiyong Li 016; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Wonhoon Park; Hankyul Kwon; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2023)

A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation. - Dongseok Im; Gwangtae Park; Zhiyong Li 016; Junha Ryu; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Wonhoon Park; Hankyul Kwon; Hoi-Jun Yoo (IEEE Micro, 2023)