Yeongjae Choi

Orcid: 0000-0001-9129-2894

According to our database¹, Yeongjae Choi authored at least 15 papers between 2016 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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2022

Quantization-Error-Robust Deep Neural Network for Embedded Accelerators.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Rare Computing: Removing Redundant Multiplications From Sparse and Repetitive Data in Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2022

Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2021

Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC.

[BibT_eX]

[DOI]

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

CREMON: Cryptography Embedded on the Convolutional Neural Network Accelerator.

[BibT_eX]

[DOI]

Yeongjae Choi

Jaehyeong Sim

Lee-Sup Kim

IEEE Trans. Circuits Syst., 2020

An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2020

A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer-Aided Design, 2019

NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

An Optimized Design Technique of Low-bit Neural Network Training for Personalization on IoT Devices.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices.

[BibT_eX]

[DOI]

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019

2017

Energy-Efficient Design of Processing Element for Convolutional Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2017

Hardware-Centric Vision Processing for Mobile IoT Environment Exploiting Approximate Graph Cut in Resistor Grid.

[BibT_eX]

[DOI]

Yeongjae Choi

Jun-Seok Park

Lee-Sup Kim

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

A Kernel Decomposition Architecture for Binary-weight Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

14.6 A 1.42TOPS/W deep convolutional neural network recognition processor for intelligent IoE systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Solid-State Circuits Conference, 2016

Yeongjae Choi

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