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2020 – today
- 2024
[c15]Shinnung Jeong
, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim:
CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. ICPP 2024: 544-554- [c14]Byungchul Chae, Jiae Kim, Seonyeong Heo:
TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems. LCTES 2024: 23-33 - [c13]Shenghui Song, Jan-Nico Zaech, Seonyeong Heo:
One-Shot Sparse Neural Architecture Search for Resource-Constrained Devices. RTCSA 2024: 132-133 - [i2]Byungchul Chae, Jiae Kim, Seonyeong Heo:
TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems. CoRR abs/2405.01857 (2024) - 2023
- [c12]Seonyeong Heo, Nicolas Baumann, Carla Margelisch, Marco Giordano, Michele Magno:
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture. I2MTC 2023: 1-6 - [c11]Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno:
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. SENSORS 2023: 1-4 - [i1]Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno:
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. CoRR abs/2311.07163 (2023) - 2022
- [c10]Yongwoo Lee, Seonyeong Heo, Seonyoung Cheon, Shinnung Jeong, Changsu Kim, Eunkyung Kim, Dongyoon Lee, Hanjun Kim:
HECATE: Performance-Aware Scale Optimization for Homomorphic Encryption Compiler. CGO 2022: 193-204 - [c9]Seonyeong Heo, Shinnung Jeong, Hanjun Kim:
RTScale: Sensitivity-Aware Adaptive Image Scaling for Real-Time Object Detection. ECRTS 2022: 2:1-2:22 - [c8]Seonyeong Heo, Philipp Mayer, Michele Magno:
Predictive Energy-Aware Adaptive Sampling with Deep Reinforcement Learning. ICECS 2022 2022: 1-4 - 2021
- [j3]Bongjun Kim, Seonyeong Heo, Jaeho Lee, Shinnung Jeong, Yongwoo Lee, Hanjun Kim:
Compiler-Assisted Semantic-Aware Encryption for Efficient and Secure Serverless Computing. IEEE Internet Things J. 8(7): 5645-5656 (2021) - [j2]Gyeongmin Lee, Bongjun Kim, Seungbin Song, Seonyeong Heo, Hanjun Kim:
ComFlex: Composable and Flexible Resource Management for the IoT. IEEE Internet Things J. 8(22): 16406-16417 (2021) - 2020
- [c7]Seonyeong Heo, Seungbin Song, Bongjun Kim, Hanjun Kim:
Sharing-aware Data Acquisition Scheduling for Multiple Rules in the IoT. RTAS 2020: 43-55 - [c6]Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim:
Real-Time Object Detection System with Multi-Path Neural Networks. RTAS 2020: 174-187
2010 – 2019
- 2019
- [c5]Bongjun Kim, Seonyeong Heo, Gyeongmin Lee, Seungbin Song, Jong Kim, Hanjun Kim:
Spinal code: automatic code extraction for near-user computation in fogs. CC 2019: 87-98 - 2017
- [c4]Gyeongmin Lee, Seonyeong Heo, Bongjun Kim, Jong Kim, Hanjun Kim:
Integrated IoT programming with selective abstraction. LCTES 2017: 51-60 - [c3]Gyeongmin Lee, Seonyeong Heo, Bongjun Kim, Jong Kim, Hanjun Kim:
Rapid prototyping of IoT applications with Esperanto compiler. RSP 2017: 85-91 - [c2]Seonyeong Heo, Seungbin Song, Jong Kim, Hanjun Kim:
RT-IFTTT: Real-Time IoT Framework with Trigger Condition-Aware Flexible Polling Intervals. RTSS 2017: 266-276 - 2016
- [j1]Bongjun Kim, Seonyeong Heo, Gyeongmin Lee, Soyeon Park, Hanjun Kim, Jong Kim:
Heterogeneous Distributed Shared Memory for Lightweight Internet of Things Devices. IEEE Micro 36(6): 16-24 (2016) - 2015
- [c1]Gwangmu Lee, Hyunjoon Park, Seonyeong Heo, Kyung-Ah Chang, Hyogun Lee, Hanjun Kim:
Architecture-aware automatic computation offload for native applications. MICRO 2015: 521-532
Coauthor Index
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