Jurn-Gyu Park

21 papers A 1B 1Misc 2Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
PiSO: Pipelined Selection Optimization Framework for Preprocessed Data and DL Models on ABP Estimation Using MIMIC-IV.
IEEE Access
Aruzhan Suleimenova, Barrett London Burgess, Jaemin Choi, Jurn-Gyu Park, Taeil Kim
2025 J jnl
Efficient-Husformer: Efficient Multimodal Transformer Hyperparameter Optimization for Stress and Cognitive Loads.
CoRR
Merey Orazaly, Fariza Temirkhanova, Jurn-Gyu Park
2025 J jnl
Energy-Efficient Vision Transformer Inference for Edge-AI Deployment.
CoRR
Nursultan Amanzhol, Jurn-Gyu Park
2025 J jnl
Patch and Model Size Characterization for On-Device Efficient-ViTs on Small Datasets Using 12 Quantitative Metrics.
IEEE Access
Jurn-Gyu Park, Aidar Amangeldi, Nail Fakhrutdinov, Meruyert Karzhaubayeva, Dimitrios Zorbas
2024 — conf
Uniformly Distributed Data Effects in Offline RL: A Case Study in Gridworld Setting.
BigComp
Kuanysh Tokayev, Jurn-Gyu Park
2023 J jnl
CNN Workloads Characterization and Integrated CPU-GPU DVFS Governors on Embedded Systems.
IEEE Embed. Syst. Lett.
Meruyert Karzhaubayeva, Aidar Amangeldi, Jurn-Gyu Park
2023 — conf
Effects of Brightness and Class-Unbalanced Dataset on CNN Model Selection and Image Classification Considering Autonomous Driving.
ICONIP (15)
Zhumakhan Nazir, Vladislav Yarovenko, Jurn-Gyu Park
2023 — conf
Feed-forward Design vs. Mimic Learning for Interpretable Deep Models: A Comparative Study.
BigComp
Jurn-Gyu Park, Damir Seit, Kuanysh Tokayev
2023 Misc conf
Interpretable ML enhanced CNN Performance Analysis of cuBLAS, cuDNN and TensorRT.
SAC
Zhumakhan Nazir, Vladislav Yarovenko, Jurn-Gyu Park
2023 — conf
Offline RL oriented Functions Design for Dynamic Power Management on CNN Workloads.
BigComp
Jurn-Gyu Park
2022 B conf
A CNN Inference micro-benchmark for Performance Analysis and Optimization on GPUs.
SMC
Jurn-Gyu Park, Zhumakhan Nazir, Beknur Kalmakhanbet, Saidgaffor Sabyrov
2021 — conf
A Case Study: Characterization of Performance Inconsistency for Reinforcement Learning on Flappy Bird Game.
ICTC
Aidar Shakerimov, Dmitriy Li, Jurn-Gyu Park
2021 J jnl
An Interpretable Machine Learning Model Enhanced Integrated CPU-GPU DVFS Governor.
ACM Trans. Embed. Comput. Syst.
Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim
2018 J jnl
MEMCOP: memory-aware co-operative power management governor for mobile games.
Des. Autom. Embed. Syst.
Chen-Ying Hsieh, Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim
2018 J jnl
Synergistic CPU-GPU Frequency Capping for Energy-Efficient Mobile Games.
ACM Trans. Embed. Comput. Syst.
Jurn-Gyu Park, Chen-Ying Hsieh, Nikil D. Dutt, Sung-Soo Lim
2017 — —
Cooperative CPU-GPU Dynamic Power Management Methodologies for Energy-efficient Mobile Gaming.
Jurn-Gyu Park
2017 — conf
ML-Gov: a machine learning enhanced integrated CPU-GPU DVFS governor for mobile gaming.
ESTIMedia
Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim
2016 Misc conf
Co-Cap: energy-efficient cooperative CPU-GPU frequency capping for mobile games.
SAC
Jurn-Gyu Park, Chen-Ying Hsieh, Nikil D. Dutt, Sung-Soo Lim
2016 A conf
HiCAP: Hierarchical FSM-based Dynamic Integrated CPU-GPU Frequency Capping Governor for Energy-Efficient Mobile Gaming.
ISLPED
Jurn-Gyu Park, Nikil D. Dutt, Hoyeonjiki Kim, Sung-Soo Lim
2015 — conf
Memory-aware cooperative CPU-GPU DVFS governor for mobile games.
ESTIMedia
Chen-Ying Hsieh, Jurn-Gyu Park, Nikil D. Dutt, Sung-Soo Lim
2014 — conf
Quality-aware mobile graphics workload characterization for energy-efficient DVFS design.
ESTIMedia
Jurn-Gyu Park, Chen-Ying Hsieh, Nikil D. Dutt, Sung-Soo Lim