Hoi-Jun Yoo - researchr alias

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Viewing Publication 1 - 100 from 452

2024

MetaVRain: A Mobile Neural 3-D Rendering Processor With Bundle-Frame-Familiarity-Based NeRF Acceleration and Hybrid DNN ComputingDonghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo. jssc, 59(1):65-78, January 2024. [doi]

A Low-Power Artificial-Intelligence-Based 3-D Rendering Processor With Hybrid Deep Neural Network ComputingDonghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo. micro, 44(1):17-27, January - February 2024. [doi]

LUTein: Dense-Sparse Bit-Slice Architecture With Radix-4 LUT-Based Slice-Tensor Processing UnitsDongseok Im, Hoi-Jun Yoo. hpca 2024: 747-759 [doi]

20.5 C-Transformer: A 2.6-18.1μJ/Token Homogeneous DNN-Transformer/Spiking-Transformer Processor with Big-Little Network and Implicit Weight Generation for Large Language ModelsSangyeob Kim, Sangjin Kim, Wooyoung Jo, Soyeon Kim, Seongyon Hong, Hoi-Jun Yoo. isscc 2024: 368-370 [doi]

An Overview of Computing-in-Memory Circuits With DRAM and NVMSangjin Kim, Hoi-Jun Yoo. tcasII, 71(3):1626-1631, March 2024. [doi]

COOL-NPU: Complementary Online Learning Neural Processing UnitSangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Jiwon Choi, Donghyeon Han, Hoi-Jun Yoo. micro, 44(1):28-37, January - February 2024. [doi]

DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode CellSangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Juhyoung Lee, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo. jssc, 59(1):102-115, January 2024. [doi]

C-DNN: An Energy-Efficient Complementary Deep-Neural-Network Processor With Heterogeneous CNN/SNN Core ArchitectureSangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Jiwon Choi, Hoi-Jun Yoo. jssc, 59(1):157-172, January 2024. [doi]

20.8 Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial ComputingGwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo. isscc 2024: 374-376 [doi]

20.7 NeuGPU: A 18.5mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing ArchitectureJunha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Hoi-Jun Yoo. isscc 2024: 372-374 [doi]

2023

A Resource-Efficient Super-Resolution FPGA Processor with Heterogeneous CNN and SNN Core ArchitectureJiwon Choi, Sangyeob Kim, Wonhoon Park, Wooyoung Jo, Hoi-Jun Yoo. asscc 2023: 1-3 [doi]

A Low-power Neural 3D Rendering Processor with Bio-inspired Visual Perception Core and Hybrid DNN AccelerationDonghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo. coolchips 2023: 1-3 [doi]

MetaVRain: A 133mW Real-Time Hyper-Realistic 3D-NeRF Processor with 1D-2D Hybrid-Neural Engines for Metaverse on Mobile DevicesDonghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo. isscc 2023: 50-51 [doi]

A 332 TOPS/W Input/Weight-Parallel Computing-in-Memory Processor with Voltage-Capacitance-Ratio Cell and Time-Based ADCSeongyon Hong, Soyeon Um, Sangjin Kim, Sangyeob Kim, Wooyoung Jo, Hoi-Jun Yoo. iscas 2023: 1-5 [doi]

Sibia: Signed Bit-slice Architecture for Dense DNN Acceleration with Slice-level Sparsity ExploitationDongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Hoi-Jun Yoo. hpca 2023: 69-80 [doi]

DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoCDongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo. jssc, 58(1):177-188, 2023. [doi]

A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth EstimationDongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo. micro, 43(3):74-82, May - June 2023. [doi]

NeRPIM: A 4.2 mJ/frame Neural Rendering Processing-in-memory Processor with Space Encoding Block-wise Mapping for Mobile DevicesWooyoung Jo, Sangjin Kim, Juhyoung Lee, Donghyeon Han, Sangyeob Kim, SeungYoon Choi, Hoi-Jun Yoo. vlsit 2023: 1-2 [doi]

C-DNN: A 24.5-85.8TOPS/W Complementary-Deep-Neural-Network Processor with Heterogeneous CNN/SNN Core Architecture and Forward-Gradient-Based Sparsity GenerationSangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Hoi-Jun Yoo. isscc 2023: 334-335 [doi]

Scaling-CIM: An eDRAM-based In-Memory-Computing Accelerator with Dynamic-Scaling ADC for SQNR-Boosting and Layer-wise Adaptive Bit-TruncationSangjin Kim, Soyeon Um, Wooyoung Jo, Jingu Lee, Sangwoo Ha, Zhiyong Li, Hoi-Jun Yoo. vlsit 2023: 1-2 [doi]

A Reconfigurable 1T1C eDRAM-based Spiking Neural Network Computing-In-Memory Processor for High System-Level EfficiencySeryeong Kim, Soyeon Kim, Soyeon Um, Sangjin Kim, Zhiyong Li, Sanyeob Kim, Wooyoung Jo, Hoi-Jun Yoo. iscas 2023: 1-5 [doi]

DynaPlasia: An eDRAM In-Memory-Computing-Based Reconfigurable Spatial Accelerator with Triple-Mode Cell for Dynamic Resource SwitchingSangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Juhyoung Lee, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo. isscc 2023: 256-257 [doi]

Neuro-CIM: ADC-Less Neuromorphic Computing-in-Memory Processor With Operation Gating/Stopping and Digital-Analog NetworksSangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Kwantae Kim, Hoi-Jun Yoo. jssc, 58(10):2931-2945, October 2023. [doi]

SNPU: An Energy-Efficient Spike Domain Deep-Neural-Network Processor With Two-Step Spike Encoding and Shift-and-Accumulation UnitSangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Juhyoung Lee, Hoi-Jun Yoo. jssc, 58(10):2812-2825, October 2023. [doi]

C-DNN V2: Complementary Deep-Neural-Network Processor With Full-Adder/OR-Based Reduction Tree and Reconfigurable Spatial Weight ReuseSangyeob Kim, Hoi-Jun Yoo. esticas, 13(4):1026-1039, December 2023. [doi]

A 15.9 mW 96.5 fps Memory-Efficient 3D Reconstruction Processor with Dilation-based TSDF Fusion and Block-Projection Cache SystemHankyul Kwon, Gwangtae Park, Junha Ryu, Wooyoung Jo, Hoi-Jun Yoo. iscas 2023: 1-5 [doi]

An Energy-Efficient Heterogeneous Fourier Transform-Based Transformer Accelerator with Frequency-Wise Dynamic Bit-PrecisionJingu Lee, Sangjin Kim, Wooyoung Jo, Hoi-Jun Yoo. asscc 2023: 1-3 [doi]

An Efficient Deep-Learning-Based Super-Resolution Accelerating SoC With Heterogeneous Accelerating and Hierarchical CacheZhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo. jssc, 58(3):614-623, March 2023. [doi]

A 33.6 FPS Embedding based Real-time Neural Rendering Accelerator with Switchable Computation Skipping Architecture on Edge DeviceJongjun Park, Donghyeon Han, Junha Ryu, Dongseok Im, Gwangtae Park, Hoi-Jun Yoo. asscc 2023: 1-3 [doi]

A 5.99 TFLOPS/W Heterogeneous CIM-NPU Architecture for an Energy Efficient Floating-Point DNN AccelerationWonhoon Park, Junha Ryu, Sangjin Kim, Soyeon Um, Wooyoung Jo, Sangyoeb Kim, Hoi-Jun Yoo. iscas 2023: 1-4 [doi]

GPPU: A 330.4-μJ/ task Neural Path Planning Processor with Hybrid GNN Acceleration for Autonomous 3D NavigationSeokchan Song, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Gwangtae Park, Hoi-Jun Yoo. vlsit 2023: 1-2 [doi]

A 3.8 mW 1.9 m Ω/√Hz Electrical Impedance Tomography Imaging with 28.4 M Ω High Input Impedance and Loading CalibrationSoyeon Um, Jaehyuk Lee, Hoi-Jun Yoo. esscirc 2023: 357-360 [doi]

LOG-CIM: A 116.4 TOPS/W Digital Computing-In-Memory Processor Supporting a Wide Range of Logarithmic Quantization with Zero-Aware 6T Dual-WL CellSoyeon Um, Sangjin Kim, Seongyon Hong, Sangyeob Kim, Hoi-Jun Yoo. asscc 2023: 1-3 [doi]

A 709.3 TOPS/W Event-Driven Smart Vision SoC with High-Linearity and Reconfigurable MRAM PIMWenao Xie, Haoyang Sang, Beomseok Kwon, Dongseok Im, Sangjin Kim, Sangyeob Kim, Hoi-Jun Yoo. vlsit 2023: 1-2 [doi]

2022

FlashMAC: A Time-Frequency Hybrid MAC Architecture With Variable Latency-Aware Scheduling for TinyML SystemsSurin Gweon, Sanghoon Kang, Kwantae Kim, Hoi-Jun Yoo. jssc, 57(10):2944-2956, 2022. [doi]

A 36.2 dB High SNR and PVT/Leakage-Robust eDRAM Computing-In-Memory Macro With Segmented BL and Reference Cell ArraySangwoo Ha, Sangjin Kim, Donghyeon Han, Soyeon Um, Hoi-Jun Yoo. tcasII, 69(5):2433-2437, 2022. [doi]

A 0.95 mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental AdaptationDonghyeon Han, Dongseok Im, Gwangtae Park, YoungWoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo. aicas 2022: 37-40 [doi]

HNPU-V2: A 46.6 FPS DNN Training Processor for Real-World Environmental Adaptation based Robust Object Detection on Mobile DevicesDonghyeon Han, Dongseok Im, Gwangtae Park, YoungWoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo. hotchips 2022: 1-18 [doi]

A DNN Training Processor for Robust Object Detection with Real-World Environmental AdaptationDonghyeon Han, Dongseok Im, Gwangtae Park, YoungWoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo. aicas 2022: 501 [doi]

A Mobile DNN Training Processor With Automatic Bit Precision Search and Fine-Grained Sparsity ExploitationDonghyeon Han, Dongseok Im, Gwangtae Park, YoungWoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo. micro, 42(2):16-25, 2022. [doi]

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 PlatformsDongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo. isscc 2022: 510-512 [doi]

A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile PlatformsDongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo. coolchips 2022: 1-3 [doi]

DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-ChipDongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo. hotchips 2022: 1-25 [doi]

A Pipelined Point Cloud Based Neural Network Processor for 3-D Vision With Large-Scale Max Pooling Layer PredictionDongseok Im, Donghyeon Han, Sanghoon Kang, Hoi-Jun Yoo. jssc, 57(2):661-670, 2022. [doi]

A 161.6 TOPS/W Mixed-mode Computing-in-Memory Processor for Energy-Efficient Mixed-Precision Deep Neural NetworksWooyoung Jo, Sangjin Kim, Juhyeong Lee, Soyeon Um, Zhiyong Li, Hoi-Jun Yoo. iscas 2022: 365-369 [doi]

Neuro-CIM: A 310.4 TOPS/W Neuromorphic Computing-in-Memory Processor with Low WL/BL activity and Digital-Analog Mixed-mode Neuron FiringSangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Kwantae Kim, Hoi-Jun Yoo. vlsit 2022: 38-39 [doi]

A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature ExtractionKwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu. isscc 2022: 1-3 [doi]

TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative PruningSangyeob Kim, Juhyoung Lee, Sanghoon Kang, Donghyeon Han, Wooyoung Jo, Hoi-Jun Yoo. tcasI, 69(4):1494-1506, 2022. [doi]

A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature ExtractionKwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu. jssc, 57(11):3298-3311, 2022. [doi]

A Low-Power Graph Convolutional Network Processor With Sparse Grouping for 3D Point Cloud Semantic Segmentation in Mobile DevicesSangjin Kim, Sangyeob Kim, Juhyoung Lee, Hoi-Jun Yoo. tcasI, 69(4):1507-1518, 2022. [doi]

Design of Sub-10-μW Sub-0.1% THD Sinusoidal Current Generator IC for Bio-Impedance SensingKwantae Kim, Sangyeob Kim, Hoi-Jun Yoo. jssc, 57(2):586-595, 2022. [doi]

Low-power Autonomous Adaptation System with Deep Reinforcement LearningJuhyoung Lee, Wooyoung Jo, Seong-Wook Park, Hoi-Jun Yoo. aicas 2022: 300-303 [doi]

ECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training ProcessorJuhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo. micro, 42(1):99-107, 2022. [doi]

OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight TransposerJuhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Ji-Hoon Kim, Donghyeon Han, Hoi-Jun Yoo. jssc, 57(4):999-1012, 2022. [doi]

An 0.92 mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient CacheZhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo. cicc 2022: 1-2 [doi]

An Efficient High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient CacheZhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo. hotchips 2022: 1-26 [doi]

A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object DetectionSeokchan Song, Soyeon Kim, Gwangtae Park, Donghyeon Han, Hoi-Jun Yoo. tcasII, 69(5):2443-2447, 2022. [doi]

2021

FlashMAC: An Energy-Efficient Analog-Digital Hybrid MAC with Variable Latency-Aware SchedulingSurin Gweon, Sanghoon Kang, Donghyeon Han, Kyoung-Rog Lee, Kwantae Kim, Hoi-Jun Yoo. asscc 2021: 1-3 [doi]

An Energy-Efficient Deep Neural Network Training Processor with Bit-Slice-Level Reconfigurability and Sparsity ExploitationDonghyeon Han, Dongseok Im, Gwangtae Park, YoungWoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo. coolchips 2021: 1-3 [doi]

DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online LearningDonghyeon Han, Jinsu Lee, Hoi-Jun Yoo. jssc, 56(5):1630-1640, 2021. [doi]

HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision SearchingDonghyeon Han, Dongseok Im, Gwangtae Park, YoungWoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo. jssc, 56(9):2858-2869, 2021. [doi]

An Energy-Efficient Deep Reinforcement Learning FPGA Accelerator for Online Fast Adaptation with Selective Mixed-precision Re-trainingWooyoung Jo, Juhyoung Lee, Seunghyun Park, Hoi-Jun Yoo. asscc 2021: 1-3 [doi]

GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity ExploitationSanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, Junha Ryu, Hoi-Jun Yoo. jssc, 56(9):2845-2857, 2021. [doi]

An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer OptimizationsSanghoon Kang, Gwangtae Park, Sangjin Kim, Soyeon Kim, Donghyeon Han, Hoi-Jun Yoo. esticas, 11(4):634-648, 2021. [doi]

PNNPU: A Fast and Efficient 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM AccessSangjin Kim, Juhyoung Lee, Dongseok Im, Hoi-Jun Yoo. hotchips 2021: 1-23 [doi]

PNNPU: A 11.9 TOPS/W High-speed 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM AccessSangjin Kim, Juhyoung Lee, Dongseok Im, Hoi-Jun Yoo. vlsic 2021: 1-2 [doi]

A 64.1mW Accurate Real-Time Visual Object Tracking Processor With Spatial Early Stopping on Siamese NetworkSoyeon Kim, Sangjin Kim, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo. tcasII, 68(5):1675-1679, 2021. [doi]

An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific OptimizationSoyeon Kim, Sanghoon Kang, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Hoi-Jun Yoo. jssc, 56(10):2968-2980, 2021. [doi]

OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight TransposerJuhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo. vlsic 2021: 1-2 [doi]

A 13.7 TFLOPS/W Floating-point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-MemoryJuhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Jinsu Lee, Hoi-Jun Yoo. vlsic 2021: 1-2 [doi]

Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous SystemsJuhyoung Lee, Changhyeon Kim, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo. aicas 2021: 1-4 [doi]

An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-MemoryJuhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo. hotchips 2021: 1-20 [doi]

OmniDRL: An Energy-Efficient Mobile Deep Reinforcement Learning Accelerators with Dual-mode Weight Compression and Direct Processing of Compressed DataJuhyoung Lee, Sangyeob Kim, Ji-Hoon Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Hoi-Jun Yoo. hotchips 2021: 1-21 [doi]

A 36-Channel Auto-Calibrated Front-End ASIC for a pMUT-Based Miniaturized 3-D Ultrasound SystemJihee Lee, Kyoung-Rog Lee, Benjamin E. Eovino, Jeong Hoan Park, Luna Yue Liang, Liwei Lin, Hoi-Jun Yoo, Jerald Yoo. jssc, 56(6):1910-1923, 2021. [doi]

Simultaneous Electrical Bio-Impedance Plethysmography at Different Body Parts: Continuous and Non-Invasive Monitoring of Pulse Wave VelocityKwonjoon Lee, Hoi-Jun Yoo. tbcas, 15(5):1027-1038, 2021. [doi]

A 9.6-mW/Ch 10-MHz Wide-Bandwidth Electrical Impedance Tomography IC With Accurate Phase Compensation for Early Breast Cancer DetectionJaehyuk Lee, Surin Gweon, Kwonjoon Lee, Soyeon Um, Kyoung-Rog Lee, Hoi-Jun Yoo. jssc, 56(3):887-898, 2021. [doi]

A 3.6 TOPS/W Hybrid FP-FXP Deep Learning Processor with Outlier Compensation for Image-to-Image ApplicationZhiyong Li, Dongseok Im, Jinsu Lee, Hoi-Jun Yoo. iscas 2021: 1-5 [doi]

A 0.82 μW CIS-Based Action Recognition SoC With Self-Adjustable Frame Resolution for Always-on IoT DevicesJunha Ryu, Gwangtae Park, Dongseok Im, Ji-Hoon Kim, Hoi-Jun Yoo. tcasII, 68(5):1700-1704, 2021. [doi]

A 43.1TOPS/W Energy-Efficient Absolute-Difference-Accumulation Operation Computing-In-Memory With Computation ReuseSoyeon Um, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo. tcasII, 68(5):1605-1609, 2021. [doi]

2020

A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable DevicesDongseok Im, Sanghoon Kang, Donghyeon Han, Sungpill Choi, Hoi-Jun Yoo. vlsic 2020: 1-2 [doi]

DT-CNN: An Energy-Efficient Dilated and Transposed Convolutional Neural Network Processor for Region of Interest Based Image SegmentationDongseok Im, Donghyeon Han, Sungpill Choi, Sanghoon Kang, Hoi-Jun Yoo. tcas, 67-I(10):3471-3483, 2020. [doi]

Wireless Body-Area-Network Transceiver and Low-Power Receiver With High Application ExpandabilityJaeeun Jang, Jihee Lee, Hyunwoo Cho, Jaehyuk Lee, Hoi-Jun Yoo. jssc, 55(10):2781-2789, 2020. [doi]

7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity ExploitationSanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, Hoi-Jun Yoo. isscc 2020: 140-142 [doi]

2 Sinusoidal Current Generator IC with 0.088% THD for Bio-Impedance SensingKwantae Kim, Changhyeon Kim, Sungpill Choi, Hoi-Jun Yoo. vlsic 2020: 1-2 [doi]

A 54.7 fps 3D Point Cloud Semantic Segmentation Processor with Sparse Grouping Based Dilated Graph Convolutional Network for Mobile DevicesSangjin Kim, Sangyeob Kim, Juhyoung Lee, Hoi-Jun Yoo. iscas 2020: 1-5 [doi]

A 146.52 TOPS/W Deep-Neural-Network Learning Processor with Stochastic Coarse-Fine Pruning and Adaptive Input/Output/Weight SkippingSangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinmook Lee, Hoi-Jun Yoo. vlsic 2020: 1-2 [doi]

An Energy-Efficient GAN Accelerator with On-chip Training for Domain Specific OptimizationSoyeon Kim, Sanghoon Kang, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo. asscc 2020: 1-4 [doi]

A Power-Efficient CNN Accelerator With Similar Feature Skipping for Face Recognition in Mobile DevicesSangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinsu Lee, Hoi-Jun Yoo. tcas, 67-I(4):1181-1193, 2020. [doi]

A 0.5-V Sub-10-μW 15.28-mΩ/√Hz Bio-Impedance Sensor IC With Sub-1° Phase ErrorKwantae Kim, Ji-Hoon Kim, Surin Gweon, Minseo Kim, Hoi-Jun Yoo. jssc, 55(8):2161-2173, 2020. [doi]

A 0.22-0.89 mW Low-Power and Highly-Secure Always-On Face Recognition Processor With Adversarial Attack PreventionYoungWoo Kim, Donghyeon Han, Changhyeon Kim, Hoi-Jun Yoo. tcas, 67-II(5):846-850, 2020. [doi]

Z-PIM: An Energy-Efficient Sparsity Aware Processing-In-Memory Architecture with Fully-Variable Weight PrecisionJi-Hoon Kim, Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo, Joo-Young Kim 0001. vlsic 2020: 1-2 [doi]

The Development of Silicon for AI: Different Design ApproachesKyuho Jason Lee, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo. tcas, 67-I(12):4719-4732, 2020. [doi]

SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile DevicesJuhyoung Lee, Jinsu Lee, Hoi-Jun Yoo. esticas, 10(3):320-334, 2020. [doi]

The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile DevicesJinsu Lee, Sanghoon Kang, Jinmook Lee, Dongjoo Shin, Donghyeon Han, Hoi-Jun Yoo. tcas, 67-I(10):3458-3470, 2020. [doi]

A 9.6 mW/Ch 10 MHz Wide-bandwidth Electrical Impedance Tomography IC with Accurate Phase Compensation for Breast Cancer DetectionJaehyuk Lee, Surin Gweon, Kwonjoon Lee, Soyeon Um, Kyoung-Rog Lee, Kwantae Kim, Jihee Lee, Hoi-Jun Yoo. cicc 2020: 1-4 [doi]

A 1.15 TOPS/W Energy-Efficient Capsule Network Accelerator for Real-Time 3D Point Cloud Segmentation in Mobile EnvironmentGwangtae Park, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo. tcas, 67-II(9):1594-1598, 2020. [doi]

The Heterogeneous Deep Neural Network Processor With a Non-von Neumann ArchitectureDongjoo Shin, Hoi-Jun Yoo. pieee, 108(8):1245-1260, 2020. [doi]

Deep Learning Processors for On-Device IntelligenceHoi-Jun Yoo. glvlsi 2020: 1-8 [doi]

2019

A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile DevicesJuhyoung Lee, Dongjoo Shin, Jinsu Lee, Jinmook Lee, Sanghoon Kang, Hoi-Jun Yoo. vlsic 2019: 302 [doi]

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