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Yoo, Hoi-Jun (유회준)
교수, School of Electrical Engineering(전기및전자공학부)
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object Detection

    Song, Seokchan; Kim, Soyeon; Park, Gwangtae; et al, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.69, no.5, pp.2443 - 2447, 2022-05

    2
    A 36.2 dB High SNR and PVT/Leakage-Robust eDRAM Computing-In-Memory Macro With Segmented BL and Reference Cell Array

    Ha, Sangwoo; Kim, Sangjin; Han, Donghyeon; et al, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.69, no.5, pp.2433 - 2437, 2022-05

    3
    A Low-Power Graph Convolutional Network Processor With Sparse Grouping for 3D Point Cloud Semantic Segmentation in Mobile Devices

    Kim, Sangjin; Kim, Sangyeob; Lee, Juhyoung; et al, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.69, no.4, pp.1507 - 1518, 2022-04

    4
    TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning

    Kim, Sangyeob; Lee, Juhyoung; Kang, Sanghoon; et al, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.69, no.4, pp.1494 - 1506, 2022-04

    5
    OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer

    Lee, Juhyoung; Kim, Sangyeob; Kim, Sangjin; et al, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.57, no.4, pp.999 - 1012, 2022-04

    6
    A Mobile DNN Training Processor With Automatic Bit Precision Search and Fine-Grained Sparsity Exploitation

    Han, Donghyeon; Im, Dongseok; Park, Gwangtae; et al, IEEE MICRO, v.42, no.2, pp.16 - 24, 2022-03

    7
    Design of Sub-10-mu W Sub-0.1% THD Sinusoidal Current Generator IC for Bio-Impedance Sensing

    Kim, Kwantae; Kim, Sangyeob; Yoo, Hoi-Junresearcher, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.57, no.2, pp.586 - 595, 2022-02

    8
    A Pipelined Point Cloud Based Neural Network Processor for 3-D Vision With Large-Scale Max Pooling Layer Prediction

    Im, Dongseok; Han, Donghyeon; Kang, Sanghoon; et al, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.57, no.2, pp.661 - 670, 2022-02

    9
    ECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training Processor

    Lee, Juhyoung; Kim, Jihoon; Jo, Wooyoung; et al, IEEE MICRO, v.42, no.1, pp.99 - 107, 2022-01

    10
    An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations

    Kang, Sanghoon; Park, Gwangtae; Kim, Sangjin; et al, IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, v.11, no.4, pp.634 - 648, 2021-12

    11
    Simultaneous Electrical Bio-Impedance Plethysmography at Different Body Parts: Continuous and Non-Invasive Monitoring of Pulse Wave Velocity

    Lee, Kwonjoon; Yoo, Hoi-Junresearcher, IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, v.15, no.5, pp.1027 - 1038, 2021-10

    12
    An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific Optimization

    Kim, Soyeon; Kang, Sanghoon; Han, Donghyeon; et al, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.56, no.10, pp.2968 - 2980, 2021-10

    13
    GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity Exploitation

    Kang, Sanghoon; Han, Donghyeon; Lee, Juhyoung; et al, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.56, no.9, pp.2845 - 2857, 2021-09

    14
    HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching

    Han, Donghyeon; Im, Dongseok; Park, Gwangtae; et al, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.56, no.9, pp.2858 - 2869, 2021-09

    15
    A 36-Channel Auto-Calibrated Front-End ASIC for a pMUT-Based Miniaturized 3-D Ultrasound System

    Lee, Jihee; Lee, Kyoung-Rog; Eovino, Benjamin E.; et al, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.56, no.6, pp.1910 - 1923, 2021-06

    16
    A 0.82 mu W CIS-Based Action Recognition SoC With Self-Adjustable Frame Resolution for Always-on IoT Devices

    Ryu, Junha; Park, Gwangtae; Im, Dongseok; et al, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.68, no.5, pp.1700 - 1704, 2021-05

    17
    A 43.1TOPS/W Energy-Efficient Absolute-Difference-Accumulation Operation Computing-In-Memory With Computation Reuse

    Um, Soyeon; Kim, Sangyeob; Kim, Sangjin; et al, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.68, no.5, pp.1605 - 1609, 2021-05

    18
    DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning

    Han, Donghyeon; Lee, Jinsu; Yoo, Hoi-Junresearcher, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.56, no.5, pp.1630 - 1640, 2021-05

    19
    A 64.1mW Accurate Real-Time Visual Object Tracking Processor With Spatial Early Stopping on Siamese Network

    Kim, Soyeon; Kim, Sangjin; Kim, Sangyeob; et al, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.68, no.5, pp.1675 - 1679, 2021-05

    20
    A 9.6-mW/Ch 10-MHz Wide-Bandwidth Electrical Impedance Tomography IC With Accurate Phase Compensation for Early Breast Cancer Detection

    Lee, Jaehyuk; Gweon, Surin; Lee, Kwonjoon; et al, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.56, no.3, pp.887 - 898, 2021-03

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