Juneseo Chang

I am an incoming Ph.D. student in Electrical Engineering at Stanford University. Currently, I am an undergraduate student in the Department of Computer Science and Engineering at Seoul National University. During my undergraduate studies, I had the great privilege of working on OS-level support for tiered main memory at the SCALable Computer Architecture Laboratory, led by Professor Jung Ho Ahn. My research interests lie in hardware-software co-design and systems support for emerging heterogeneous memory architectures.

news

Feb 06, 2026	I will be joining Stanford EE Ph.D. student starting Fall 2026!
Jan 21, 2026	Completed mandatory military service (Republic of Korea Army).
Mar 25, 2024	IDT was accepted to HPDC 2024.

selected publications

IDT: Intelligent Data Placement for Multi-Tiered Main Memory with Reinforcement Learning

Juneseo Chang, Wanju Doh, Yaebin Moon, Eojin Lee, and Jung Ho Ahn

In Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, Pisa, Italy, 2024

DOI Bib PDF Code Slides

@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},
}

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), Hamburg, Germany, 2023

DOI Bib PDF Code Slides

@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},
}

Work-in-Progress: Accuracy-Area Efficient Online Fault Detection for Robust Neural Network Software-Embedded Microcontrollers

Juneseo Chang, Sejong Oh, and Daejin Park

In Proceedings of the International Conference on Embedded Software (EMSOFT), 2022

DOI Bib PDF

@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},
}