@inproceedings{JSChang_HPDC_2024,title={IDT: Intelligent Data Placement for Multi-Tiered Main Memory with Reinforcement Learning},author={Chang, Juneseo and Doh, Wanju and Moon, Yaebin and Lee, Eojin and Ahn, Jung Ho},year={2024},isbn={9798400704130},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/3625549.3658659},doi={10.1145/3625549.3658659},booktitle={Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing},pages={69–82},numpages={14},location={Pisa, Italy},series={HPDC '24},}
2023
Work-in-Progress: Searching Optimal Compiler Optimization Passes Sequence for Reducing Runtime Memory Profile using Ensemble Reinforcement Learning
Juneseo Chang, and Daejin Park
In Proceedings of the International Conference on Embedded Software (EMSOFT), 2023
@inproceedings{JSChang_EMSOFT_2023,author={Chang, Juneseo and Park, Daejin},title={Work-in-Progress: Searching Optimal Compiler Optimization Passes Sequence for Reducing Runtime Memory Profile using Ensemble Reinforcement Learning},year={2023},url={https://doi.org/10.1145/3607890.3608460},doi={10.1145/3607890.3608460},booktitle={Proceedings of the International Conference on Embedded Software (EMSOFT)},pages={3–4},numpages={2},keywords={code optimization, reinforcement learning, embedded system},location={Hamburg, Germany},series={EMSOFT '23},}
@inproceedings{JSChang_EMSOFT_2022,author={Chang, Juneseo and Oh, Sejong and Park, Daejin},booktitle={Proceedings of the International Conference on Embedded Software (EMSOFT)},title={Work-in-Progress: Accuracy-Area Efficient Online Fault Detection for Robust Neural Network Software-Embedded Microcontrollers},year={2022},pages={1-2},keywords={Support vector machines;Fault tolerance;Runtime;Microcontrollers;Fault tolerant systems;Distributed databases;Artificial neural networks;Fault Tolerance;Embedded System;Neural Networks;Reliability},doi={10.1109/EMSOFT55006.2022.00008},}
Low-Power On-Chip Implementation of Enhanced SVM Algorithm for Sensors Fusion-Based Activity Classification in Lightweighted Edge Devices
@article{JSChang_Electronics_2022,title={Low-Power On-Chip Implementation of Enhanced SVM Algorithm for Sensors Fusion-Based Activity Classification in Lightweighted Edge Devices},author={Chang, Juneseo and Kang, Myeongjin and Park, Daejin},publisher={MDPI},journal={Electronics},volume={11},year={2022},number={1},}