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Seonyeong Heo

Assistant Professor

Kyung Hee University - Global Campus

South Korea

Research Interests

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Seonyeong Heo is an Assistant Professor at Kyung Hee University - Global Campus in South Korea. His research focuses on optimizing data processing for ultra-low-power embedded systems, with recent works including advancements in compiler optimization, machine learning frameworks, and resource management for IoT applications. He is dedicated to enhancing the efficiency and security of small object detection and real-time processing on microcontroller units.

Articles (12)

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2026

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2025

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2024

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2021

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2021

Collaborators (3)

Michele Magno

ETH Zürich

SWITZERLAND

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Hanjun Kim

Associate Professor

Yonsei University

SOUTH KOREA

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Gwangsun Kim

Pohang University of Science and Technology

SOUTH KOREA

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Seonyeong Heo

Research Interests

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Articles (12)

Lossless graph transformations for memory-efficient on-device machine learning

A Programming Model for Efficient Inter-Kernel Control-Flow on Memory-Mapped Near-Data Processing Architecture (WIP)

TinyGen: Portable and Compact Code Generation for Tiny Machine Learning

Bit-level compiler optimization for ultra low-power embedded systems

TinyMo: Graph-Level Memory Optimizer for Tiny Machine Learning

DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units

TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems

CR<SUP>2</SUP>: Community-aware Compressed Regular Representation for Graph Processing on a GPU

One-Shot Sparse Neural Architecture Search for Resource-Constrained Devices

Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications

ComFlex: Composable and Flexible Resource Management for the IoT

Compiler-Assisted Semantic-Aware Encryption for Efficient and Secure Serverless Computing

Collaborators (3)

Michele Magno

Hanjun Kim

Gwangsun Kim

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