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ORCIDYongtae Kim
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2020 – today
- 2024
[j27]Myeongjin Kwak, Jeonggeun Kim, Yongtae Kim
:
A comprehensive exploration of approximate DNN models with a novel floating-point simulation framework. Perform. Evaluation 165: 102423 (2024)- [j26]Dong-Hee Yoon, Hyoju Seo, Jungwon Lee, Yongtae Kim:
Online Electric Vehicle Charging Strategy in Residential Areas With Limited Power Supply. IEEE Trans. Smart Grid 15(3): 3141-3151 (2024) - [c29]Donghui Lee, Hyoju Seo, Yongtae Kim:
Design of an Efficient Parallel Random Number Generator Using a Single LFSR for Stochastic Computing. ICAIIC 2024: 775-777 - [c28]Sungyoun Hwang, Hyoju Seo, Yongtae Kim:
Comparative Analysis of Quantum Adder Circuits in Computation Accuracy on Noisy Quantum Computers. ISOCC 2024: 5-6 - [c27]Donghui Lee, Yongtae Kim:
Design of a Low-Cost Stochastic Computing-based Median Filter for Digital Image Processing. ISOCC 2024: 298-299 - [c26]Hyoju Seo, Yongtae Kim:
Enabling Quantum Computer Simulation under Minimal Precision Floating-Point using Irrational Value Decomposition. MASCOTS 2024: 1-8 - 2023
- [j25]Hyoju Seo, Yongtae Kim:
A Low Latency Approximate Adder Design Based on Dual Sub-Adders With Error Recovery. IEEE Trans. Emerg. Top. Comput. 11(3): 811-816 (2023) - [c25]Donghui Lee, Yongtae Kim:
Towards Quantized Stochastic Computing by Leveraging Reduced Precision Binary Numbers through Bit Truncation. ICCD 2023: 419-422 - [c24]Junhyuk Baik, Donghui Lee, Yongtae Kim:
A Smith-Waterman Hardware Accelerator Design using Sliding Window for Genomic Sequence Alignment. ISOCC 2023: 1-2 - [c23]Donghui Lee, Junhyuk Baik, Yongtae Kim:
Enhancing Stochastic Computing using a Novel Hybrid Random Number Generator Integrating LFSR and Halton Sequence. ISOCC 2023: 7-8 - [c22]Hyoju Seo, Seokhyeon Lee, Yongtae Kim:
Computation Exactness Exploration of Exact Quantum Adders in NISQ. ISOCC 2023: 87-88 - [c21]Myeongjin Kwak, Jeonggeun Kim, Yongtae Kim:
TorchAxf: Enabling Rapid Simulation of Approximate DNN Models Using GPU-Based Floating-Point Computing Framework. MASCOTS 2023: 1-8 - 2022
- [j24]Minseob Shim, Junwon Jeong, Junyoung Song, Yongtae Kim, Woong Choi:
Segmented Match-Line and Charge-Sharing Based Low-Cost TCAM. IEEE Trans. Circuits Syst. II Express Briefs 69(12): 5104-5108 (2022) - [c20]Myeongjin Kwak, Yongtae Kim:
Do Not Forget: Exploiting Stability-Plasticity Dilemma to Expedite Unsupervised SNN Training for Neuromorphic Processors. ICCD 2022: 419-426 - [c19]Donghui Lee, Junhyuk Baik, Yongtae Kim:
An Accurate and Efficient Stochastic Computing Adder Exploiting Bit Shuffle Control Scheme. ISOCC 2022: 51-52 - [c18]Hyelin Seok, Hyoju Seo, Jungwon Lee, Yongtae Kim:
A Novel Efficient Approximate Adder Design using Single Input Pair based Computation. ISOCC 2022: 57-58 - 2021
- [j23]Youngsun Han, Sanghyeon Lee, Byung Wook Kim, Yongtae Kim:
Resource-Optimized Design of Bit-Shuffle Block Coding for MIMO-VLC. IEEE Access 9: 97675-97685 (2021) - [j22]Jungwon Lee, Hyoju Seo, Hyelin Seok, Yongtae Kim:
A Novel Approximate Adder Design Using Error Reduced Carry Prediction and Constant Truncation. IEEE Access 9: 119939-119953 (2021) - [j21]Yoon Seok Yang, Yongtae Kim:
Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video Processing. IEEE Access 9: 133062-133075 (2021) - [j20]Woong Choi, Minseob Shim, Hyelin Seok, Yongtae Kim:
DCPA: approximate adder design exploiting dual carry prediction. IEICE Electron. Express 18(23): 20210431 (2021) - [j19]Jaehyeon Kim, Yongtae Kim, Jian Zhou:
Time Encoding in Languages and Investment Efficiency. Manag. Sci. 67(4): 2609-2629 (2021) - [c17]Myeongjin Kwak, Jungwon Lee, Hyoju Seo, Mingyu Sung, Yongtae Kim:
Training and Inference using Approximate Floating-Point Arithmetic for Energy Efficient Spiking Neural Network Processors. ICEIC 2021: 1-2 - [c16]Myeongjin Kwak, Hyoju Seo, Yongtae Kim:
Precision Exploration of Floating-Point Arithmetic for Spiking Neural Networks. ISOCC 2021: 71-72 - [c15]Hyoju Seo, Jungwon Lee, Hyelin Seok, Yongtae Kim:
Design of an Accuracy Enhanced Imprecise Adder with Half Adder-based Approximation. ISOCC 2021: 153-154 - 2020
- [j18]Youngsun Han, Dongmin Kim, Yongtae Kim:
A Novel ReRAM-Based Architecture of Field Sequential Color Driver for High-Resolution LCoS Displays. IEEE Access 8: 223385-223395 (2020) - [j17]Jungwon Lee, Hyoju Seo, Yerin Kim, Yongtae Kim:
Approximate adder design with simplified lower-part approximation. IEICE Electron. Express 17(15): 20200218 (2020) - [c14]Jungwon Lee, Hyoju Seo, Yerin Kim, Yongtae Kim:
Design of a Low-Cost Approximate Adder with a Zero Truncation. ISOCC 2020: 69-70 - [c13]Hyoju Seo, Yoon Seok Yang, Yongtae Kim:
An Energy-Efficient Imprecise Adder with a Lower-part Constant Approximation. ISOCC 2020: 143-144 - [c12]Yoon Seok Yang, Yongtae Kim:
Recent Trend of Neuromorphic Computing Hardware: Intel's Neuromorphic System Perspective. ISOCC 2020: 218-219
2010 – 2019
- 2019
- [j16]Youngsun Han, Yongtae Kim, Byung Wook Kim:
Bit-Shuffle Coding for Flicker Mitigation in Visible Light Communication. IEEE Access 7: 150271-150279 (2019) - [j15]Junyoung Song, Yongtae Kim, Chulwoo Kim:
A 9 Gb/s/ch Transceiver With Reference-Less Data-Embedded Pseudo-Differential Clock Signaling for Graphics Memory Interfaces. IEEE Trans. Circuits Syst. II Express Briefs 66-II(12): 1982-1986 (2019) - 2017
- [j14]Sang-Geun Bae, Yongtae Kim, Yunsoo Park, Chulwoo Kim:
3-Gb/s High-Speed True Random Number Generator Using Common-Mode Operating Comparator and Sampling Uncertainty of D Flip-Flop. IEEE J. Solid State Circuits 52(2): 605-610 (2017) - 2016
- [j13]Qian Wang, Yongtae Kim, Peng Li:
Neuromorphic Processors with Memristive Synapses: Synaptic Interface and Architectural Exploration. ACM J. Emerg. Technol. Comput. Syst. 12(4): 35:1-35:22 (2016) - 2015
- [j12]Yongtae Kim, Yong Zhang, Peng Li:
A Reconfigurable Digital Neuromorphic Processor with Memristive Synaptic Crossbar for Cognitive Computing. ACM J. Emerg. Technol. Comput. Syst. 11(4): 38:1-38:25 (2015) - [j11]Yongtae Kim, Minsup Song:
Management Earnings Forecasts and Value of Analyst Forecast Revisions. Manag. Sci. 61(7): 1663-1683 (2015) - [j10]Qian Wang, Peng Li, Yongtae Kim:
A Parallel Digital VLSI Architecture for Integrated Support Vector Machine Training and Classification. IEEE Trans. Very Large Scale Integr. Syst. 23(8): 1471-1484 (2015) - [j9]Yongtae Kim, Yong Zhang, Peng Li:
Energy Efficient Approximate Arithmetic for Error Resilient Neuromorphic Computing. IEEE Trans. Very Large Scale Integr. Syst. 23(11): 2733-2737 (2015) - 2013
- [j8]Yongtae Kim, Peng Li:
A 0.38 V near/sub-VT digitally controlled low-dropout regulator with enhanced power supply noise rejection in 90 nm CMOS process. IET Circuits Devices Syst. 7(1) (2013) - [j7]Young-Ho Kwak, Yongtae Kim, Sewook Hwang, Chulwoo Kim:
A 20 Gb/s Clock and Data Recovery With a Ping-Pong Delay Line for Unlimited Phase Shifting in 65 nm CMOS Process. IEEE Trans. Circuits Syst. I Regul. Pap. 60-I(2): 303-313 (2013) - [j6]Minyoung Song, Sunghoon Ahn, Inhwa Jung, Yongtae Kim, Chulwoo Kim:
Piecewise Linear Modulation Technique for Spread Spectrum Clock Generation. IEEE Trans. Very Large Scale Integr. Syst. 21(7): 1234-1245 (2013) - [c11]Yongtae Kim, Yong Zhang, Peng Li:
An energy efficient approximate adder with carry skip for error resilient neuromorphic VLSI systems. ICCAD 2013: 130-137 - 2012
- [j5]Jooyong Shim, Yongtae Kim, Jangtaek Lee, Changha Hwang:
Estimating value at risk with semiparametric support vector quantile regression. Comput. Stat. 27(4): 685-700 (2012) - [c10]Yongtae Kim, Peng Li:
An ultra-low voltage digitally controlled low-dropout regulator with digital background calibration. ISQED 2012: 151-158 - [c9]Yongtae Kim, Yong Zhang, Peng Li:
A digital neuromorphic VLSI architecture with memristor crossbar synaptic array for machine learning. SoCC 2012: 328-333 - 2011
- [c8]Leyi Yin, Yongtae Kim, Peng Li:
High effective-resolution built-in jitter characterization with quantization noise shaping. DAC 2011: 765-770
2000 – 2009
- 2008
- [j4]Jiyoung Kim, Yongtae Kim, Kwanghoon Sohn:
Stereoscopic video coding and disparity estimation for low bitrate applications based on MPEG-4 multiple auxiliary components. Signal Process. Image Commun. 23(6): 405-416 (2008) - [c7]Minyoung Song, Sunghoon Ahn, Inhwa Jung, Yongtae Kim, Chulwoo Kim:
A 1.5 GHz spread spectrum clock generator with a 5000ppm piecewise linear modulation. CICC 2008: 455-458 - 2007
- [j3]Yongtae Kim, Jiyoung Kim, Kwanghoon Sohn:
Fast Disparity and Motion Estimation for Multi-view Video Coding. IEEE Trans. Consumer Electron. 53(2): 712-719 (2007) - [c6]Boncheol Gu, Yongtae Kim, Junyoung Heo, Yookun Cho:
Shared-stack cooperative threads. SAC 2007: 1181-1186 - 2006
- [c5]Chang Han Kim, Yongtae Kim, Sung Yeon Ji, IlHwan Park:
A New Parallel Multiplier for Type II Optimal Normal Basis. CIS 2006: 460-469 - [c4]Yongtae Kim, Chang Han Kim, Taek-Young Youn:
On the Security of Multilevel Cryptosystems over Class Semigroups of Imaginary Quadratic Non-maximal Orders. EuroPKI 2006: 92-100 - 2005
- [j2]Yongtae Kim, Jaeho Lee, Changseob Park, Kwanghoon Sohn:
MPEG-4 compatible stereoscopic sequence codec for stereo broadcasting. IEEE Trans. Consumer Electron. 51(4): 1227-1236 (2005) - [c3]Yongtae Kim, Changseob Park, Jaeho Lee, Kwanghoon Sohn:
The fast stereo sequence compression using edge-directional joint disparity-motion estimation. Electronic Imaging: Image and Video Communications and Processing 2005 - [c2]Dong Jin Yang, Chang Han Kim, Young-Ho Park, Yongtae Kim, Jongin Lim:
Modified Sequential Normal Basis Multipliers for Type II Optimal Normal Bases. ICCSA (2) 2005: 647-656 - [c1]Chang Han Kim, Yongtae Kim, Nam Su Chang, IlHwan Park:
Modified Serial Multipliers for Type-IV Gaussian Normal Bases. INDOCRYPT 2005: 375-388 - 2004
- [j1]Yongtae Kim, Seungchul Choi, Sukhee Cho, Kwanghoon Sohn:
Efficient disparity vector coding for multiview sequences. Signal Process. Image Commun. 19(6): 539-553 (2004)
Coauthor Index
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