Injune Yeo

Assistant Professor

Chosun University

South Korea

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Injune Yeo is an Assistant Professor at Chosun University, South Korea. His research focuses on dynamic vision sensors, compute-in-memory technologies, and neuromorphic computing, demonstrated through recent publications on pixel noise analysis, genome processing, and DNN acceleration. Yeo's work encapsulates advancements in hardware-algorithm co-design and the development of innovative memory architectures.

Articles (11)

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (7)

Zhiru Zhang

Associate Professor

Cornell University

UNITED STATES

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Mingoo Seok

Columbia University

UNITED STATES

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Wei Zhang

Assistant Professor

University of Central Florida

UNITED STATES

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Nathaniel C Cady

UNITED STATES

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Yu Cao

Professor

University of Minnesota

UNITED STATES

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Deliang Fan

Associate Professor

Johns Hopkins University

UNITED STATES

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Li Yang

University of North Carolina at Charlotte

UNITED STATES

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Injune Yeo

Research Interests

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Contact this professor

About

Articles (11)

Analysis of Pixel Noise in Dynamic Vision Sensors

A Dynamic Power-Only Compute-In-Memory Macro With Power-of-Two Nonlinear SAR ADC for Non-Volatile Ferroelectric Capacitive Crossbar Array

3-D In-Sensor Computing for Real-Time DVS Data Compression: 65-nm Hardware-Algorithm Co-Design

A 65-nm RRAM Compute-in-Memory Macro for Genome Processing

Corrections to “A Dynamic Power-Only Compute-in-Memory Macro With Power-of-Two Nonlinear SAR ADC for Nonvolatile Ferroelectric Capacitive Crossbar Array”

A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity

Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration

Digital Versus Analog Artificial Intelligence Accelerators: Advances, trends, and emerging designs

A Learning‐Rate Modulable and Reliable TiO<i><sub>x</sub></i> Memristor Array for Robust, Fast, and Accurate Neuromorphic Computing

Resistive memories stack up

Improving the accuracy and robustness of RRAM-based in-memory computing against RRAM hardware noise and adversarial attacks

Collaborators (7)

Zhiru Zhang

Mingoo Seok

Wei Zhang

Nathaniel C Cady

Yu Cao

Deliang Fan

Li Yang

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