Seonyeong Heo

24 papers A* 1A 4B 7C 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 B conf
TinyGen: Portable and Compact Code Generation for Tiny Machine Learning.
CC
Gaeun Ko, Seonyeong Heo
2025 J jnl
Bit-level compiler optimization for ultra low-power embedded systems.
J. Syst. Archit.
Seonyeong Heo, Jiho Kim, Woohyeop Im, Jiyun Moon, DaeHee Jang
2025 J jnl
TinyMo: Graph-Level Memory Optimizer for Tiny Machine Learning.
IEEE Embed. Syst. Lett.
Byungchul Chae, Seonyeong Heo
2024 B conf
CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU.
ICPP
Shinnung Jeong, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim
2024 J jnl
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units.
CoRR
Liam Boyle, Julian Moosmann, Nicolas Baumann, Seonyeong Heo, Michele Magno
2024 B conf
One-Shot Sparse Neural Architecture Search for Resource-Constrained Devices.
RTCSA
Shenghui Song, Jan-Nico Zaech, Seonyeong Heo
2024 B conf
TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems.
LCTES
Byungchul Chae, Jiae Kim, Seonyeong Heo
2024 J jnl
TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems.
CoRR
Byungchul Chae, Jiae Kim, Seonyeong Heo
2023 — conf
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications.
SENSORS
Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno
2023 J jnl
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications.
CoRR
Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno
2023 — conf
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture.
I2MTC
Seonyeong Heo, Nicolas Baumann, Carla Margelisch, Marco Giordano, Michele Magno
2022 A conf
HECATE: Performance-Aware Scale Optimization for Homomorphic Encryption Compiler.
CGO
Yongwoo Lee, Seonyeong Heo, Seonyoung Cheon, Shinnung Jeong, Changsu Kim, Eunkyung Kim, Dongyoon Lee, Hanjun Kim
2022 — conf
Predictive Energy-Aware Adaptive Sampling with Deep Reinforcement Learning.
ICECS 2022
Seonyeong Heo, Philipp Mayer, Michele Magno
2022 B conf
RTScale: Sensitivity-Aware Adaptive Image Scaling for Real-Time Object Detection.
ECRTS
Seonyeong Heo, Shinnung Jeong, Hanjun Kim
2021 J jnl
ComFlex: Composable and Flexible Resource Management for the IoT.
IEEE Internet Things J.
Gyeongmin Lee, Bongjun Kim, Seungbin Song, Seonyeong Heo, Hanjun Kim
2021 J jnl
Compiler-Assisted Semantic-Aware Encryption for Efficient and Secure Serverless Computing.
IEEE Internet Things J.
Bongjun Kim, Seonyeong Heo, Jaeho Lee, Shinnung Jeong, Yongwoo Lee, Hanjun Kim
2020 A conf
Real-Time Object Detection System with Multi-Path Neural Networks.
RTAS
Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim
2020 A conf
Sharing-aware Data Acquisition Scheduling for Multiple Rules in the IoT.
RTAS
Seonyeong Heo, Seungbin Song, Bongjun Kim, Hanjun Kim
2019 B conf
Spinal code: automatic code extraction for near-user computation in fogs.
CC
Bongjun Kim, Seonyeong Heo, Gyeongmin Lee, Seungbin Song, Jong Kim, Hanjun Kim
2017 B conf
Integrated IoT programming with selective abstraction.
LCTES
Gyeongmin Lee, Seonyeong Heo, Bongjun Kim, Jong Kim, Hanjun Kim
2017 A conf
RT-IFTTT: Real-Time IoT Framework with Trigger Condition-Aware Flexible Polling Intervals.
RTSS
Seonyeong Heo, Seungbin Song, Jong Kim, Hanjun Kim
2017 C conf
Rapid prototyping of IoT applications with Esperanto compiler.
RSP
Gyeongmin Lee, Seonyeong Heo, Bongjun Kim, Jong Kim, Hanjun Kim
2016 J jnl
Heterogeneous Distributed Shared Memory for Lightweight Internet of Things Devices.
IEEE Micro
Bongjun Kim, Seonyeong Heo, Gyeongmin Lee, Soyeon Park, Hanjun Kim, Jong Kim
2015 A* conf
Architecture-aware automatic computation offload for native applications.
MICRO
Gwangmu Lee, Hyunjoon Park, Seonyeong Heo, Kyung-Ah Chang, Hyogun Lee, Hanjun Kim