YONGTAE KIM

Assistant Professor

Kyungpook National University

South Korea

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Dr. Yongtae Kim is an Assistant Professor at Kyungpook National University in South Korea. His research focuses on hardware-efficient computing solutions, including approximate arithmetic units, stochastic computing, and hardware accelerator architectures. He has contributed significantly to the field through recent publications exploring applications in image processing, deep neural networks, and quantum computer simulation.

Articles (16)

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2025

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2025

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2025

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2024

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (4)

Minseob Shim

Assistant Professor

Gyeongsang National University

SOUTH KOREA

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Youngsun Han

Associate Professor

Pusan National University

SOUTH KOREA

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Tae Hyoung Kim

Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE

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Pieter Harpe

Associate Professor

Eindhoven University of Technology

NETHERLANDS

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YONGTAE KIM

Research Interests

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Articles (16)

Learn to Establish and Achieve Professionalism at Asian Solid-State Circuits 2024 Was a Success (LEAP) [Women in Circuits Corner]

Hardware‐Efficient Quantized Stochastic Computing With Reduced Precision Stochastic Number Generator and LFSR‐Based Counter

Design of Approximate Floating-Point Arithmetic Units Using Hardware-Efficient Rounding Schemes

Design of a Hardware-Efficient Approximate 4-2 Compressor for Multiplications in Image Processing

A comprehensive exploration of approximate DNN models with a novel floating-point simulation framework

Online Electric Vehicle Charging Strategy in Residential Areas With Limited Power Supply

ReQUSA: a novel ReRAM-based hardware accelerator architecture for high-speed quantum computer simulation

A Low Latency Approximate Adder Design Based on Dual Sub-Adders With Error Recovery

Segmented Match-Line and Charge-Sharing Based Low-Cost TCAM

Exploiting Data Compression for Adaptive Block Placement in Hybrid Caches

Resource-Optimized Design of Bit-Shuffle Block Coding for MIMO-VLC

COREA: Delay- and Energy-Efficient Approximate Adder Using Effective Carry Speculation

A Novel Approximate Adder Design Using Error Reduced Carry Prediction and Constant Truncation

Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video Processing

A Novel ReRAM-Based Architecture of Field Sequential Color Driver for High-Resolution LCoS Displays

Design and Analysis of an Approximate Adder with Hybrid Error Reduction

Collaborators (4)

Minseob Shim

Youngsun Han

Tae Hyoung Kim

Pieter Harpe

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