A task-level pipelined many-SIMD augmented reality processor with congestion-aware network-on-chip scheduler. - Gyeonghoon Kim; Seongwook Park; Kyuho Lee 001; Youchang Kim; Injoon Hong; Kyeongryeol Bong; Dongjoo Shin; Sungpill Choi; Junyoung Park 002; Hoi-Jun Yoo (COOL Chips, 2014)

An 1.92mW Feature Reuse Engine based on inter-frame similarity for low-power object recognition in video frames. - Dongjoo Shin; Injoon Hong; Hoi-Jun Yoo (ISCAS, 2014)

10.4 A 1.22TOPS and 1.52mW/MHz augmented reality multi-core processor with neural network NoC for HMD applications. - Gyeonghoon Kim; Youchang Kim; Kyuho Lee 001; Seongwook Park; Injoon Hong; Kyeongryeol Bong; Dongjoo Shin; Sungpill Choi; Jinwook Oh; Hoi-Jun Yoo (ISSCC, 2014)

18.5 A 2.14mW EEG neuro-feedback processor with transcranial electrical stimulation for mental-health management. - Taehwan Roh; Kiseok Song; Hyunwoo Cho; Dongjoo Shin; Unsoo Ha; Kwonjoon Lee; Hoi-Jun Yoo (ISSCC, 2014)

A Wearable Neuro-Feedback System With EEG-Based Mental Status Monitoring and Transcranial Electrical Stimulation. - Taehwan Roh; Kiseok Song; Hyunwoo Cho; Dongjoo Shin; Hoi-Jun Yoo (IEEE Trans. Biomed. Circuits Syst., 2014)

A keypoint-level parallel pipelined object recognition processor with gaze activation image sensor for mobile smart glasses system. - Injoon Hong; Dongjoo Shin; Youchang Kim; Kyeongryeol Bong; Seongwook Park; Kyuho Lee 001; Hoi-Jun Yoo (COOL Chips, 2015)

18.1 A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications. - Injoon Hong; Kyeongryeol Bong; Dongjoo Shin; Seongwook Park; Kyuho Lee 001; Youchang Kim; Hoi-Jun Yoo (ISSCC, 2015)

4.6 A1.93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications. - Seongwook Park; Kyeongryeol Bong; Dongjoo Shin; Jinmook Lee; Sungpill Choi; Hoi-Jun Yoo (ISSCC, 2015)

A 33 nJ/vector descriptor generation processor for low-power object recognition. - Dongjoo Shin; Injoon Hong; Gyeonghoon Kim; Hoi-Jun Yoo (VLSIC, 2015)

An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications. - Seongwook Park; Junyoung Park 002; Kyeongryeol Bong; Dongjoo Shin; Jinmook Lee; Sungpill Choi; Hoi-Jun Yoo (IEEE Trans. Biomed. Circuits Syst., 2015)

A 1.1 mW 32-thread artificial intelligence processor with 3-level transposition table and on-chip PVT compensation for autonomous mobile robots. - Youchang Kim; Dongjoo Shin; Jinsu Lee; Hoi-Jun Yoo (COOL Chips, 2016)

14.3 A 0.55V 1.1mW artificial-intelligence processor with PVT compensation for micro robots. - Youchang Kim; Dongjoo Shin; Jinsu Lee; Yongsu Lee; Hoi-Jun Yoo (ISSCC, 2016)

A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart Glasses. - Injoon Hong; Kyeongryeol Bong; Dongjoo Shin; Seongwook Park; Kyuho Jason Lee; Youchang Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2016)

A 21mW low-power recurrent neural network accelerator with quantization tables for embedded deep learning applications. - Jinmook Lee; Dongjoo Shin; Hoi-Jun Yoo (A-SSCC, 2017)

An energy-efficient deep learning processor with heterogeneous multi-core architecture for convolutional neural networks and recurrent neural networks. - Dongjoo Shin; Jinmook Lee; Jinsu Lee; Juhyoung Lee; Hoi-Jun Yoo (COOL Chips, 2017)

14.2 DNPU: An 8.1TOPS/W reconfigurable CNN-RNN processor for general-purpose deep neural networks. - Dongjoo Shin; Jinmook Lee; Jinsu Lee; Hoi-Jun Yoo (ISSCC, 2017)

A 1.41mW on-chip/off-chip hybrid transposition table for low-power robust deep tree search in artificial intelligence SoCs. - Dongjoo Shin; Youchang Kim; Hoi-Jun Yoo (SoCC, 2017)

BRAIN: A Low-Power Deep Search Engine for Autonomous Robots. - Youchang Kim; Dongjoo Shin; Jinsu Lee; Hoi-Jun Yoo (IEEE Micro, 2017)

A 17.5-fJ/bit Energy-Efficient Analog SRAM for Mixed-Signal Processing. - Jinsu Lee; Dongjoo Shin; Youchang Kim; Hoi-Jun Yoo (IEEE Trans. Very Large Scale Integr. Syst., 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)

Development of Tri-axial Fiber Bragg Grating Force Sensor in Catheter Application. - Dongjoo Shin; Taesung Kim; Hyeong-U. Kim (MeMeA, 2018)

DNPU: An Energy-Efficient Deep-Learning Processor with Heterogeneous Multi-Core Architecture. - Dongjoo Shin; Jinmook Lee; Jinsu Lee; Juhyoung Lee; Hoi-Jun Yoo (IEEE Micro, 2018)

A 0.55 V 1.1 mW Artificial Intelligence Processor With On-Chip PVT Compensation for Autonomous Mobile Robots. - Youchang Kim; Dongjoo Shin; Jinsu Lee; Yongsu Lee; Hoi-Jun Yoo (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

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)

Development and Evaluation of Tri-Axial Fiber Bragg Grating in a Measurement Module for Catheterization. - Dongjoo Shin; Hyeong-U. Kim; Taesung Kim (MetroInd4.0&IoT, 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 wearable system for knee flexion/extension monitoring: design and assessment. - Paolo Resta; Daniela Lo Presti; Emiliano Schena; Carlo Massaroni; Domenico Formica; Taesung Kim; Dongjoo Shin (MetroInd4.0&IoT, 2020)

The Heterogeneous Deep Neural Network Processor With a Non-von Neumann Architecture. - Dongjoo Shin; Hoi-Jun Yoo (Proc. IEEE, 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)

Wearable Sensor based on Fiber Bragg Grating with Flexible Polymer for Squat Exercise. - Dongjoo Shin; Taesung Kim (MetroInd4.0&IoT, 2021)

Flexible Sensor Platform: Nano-grain of 2D Heterostructure by Cold-Plasma. - Hyunho Seok; Dongjoo Shin; Hyeong-U. Kim; Taesung Kim (MeMeA, 2022)

Flexible and Stretchable Optical Fiber Strain Sensor based on Nanoparticles and Polymer for Human Motion Detection. - Dongjoo Shin; Jin-Hyoung Lee; Taesung Kim; Hyunho Seok (MeMeA, 2022)

Development of Force Sensor System Based on Tri-Axial Fiber Bragg Grating with Flexure Structure. - Dongjoo Shin; Hyeong-U. Kim; Atul Kulkarni; Young-Hak Kim; Taesung Kim (Sensors, 2022)