Hello, I'm Hyojae Park!
[hyojae at cmu dot edu]
I am a second-year student at Carnegie Mellon University studying computer science with a concentration in computer graphics. My interests lie in theoretical computer science and applied mathematics, and my research has involved various topics such as robotics, cryptography, reinforcement learning, artificial intelligence, human-computer interaction, and software engineering. See some of my work below!
Publications
2025
6. How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs
Blase Ur, Madison Pickering, Alison Gan, Helena Williams, Weijia He, Hyojae Park, Francisco Piedrahita Velez, and Michael Littman
ACM Conference on Human Factors in Computing Systems (CHI), April-May 2025. [pdf]
(~25% acceptance rate)
2024
5. Tendon Optimization for Robotic Hands
Hyojae Park, Cornelia Bauer, Dominik Bauer, Nancy S. Pollard
Designing Interactive Humanoids Workshop at the IEEE-RAS International Conference on Humanoid Robots (Humanoids), November 2024. [pdf]
2023
4. Private Access Control for Function Secret Sharing
Sacha Servan-Schreiber, Simon Beyzerov, Eli Yablon, and Hyojae Park
IEEE Symposium on Security and Privacy (S&P), May 2023. [pdf] [iacr full-print]
(~17% acceptance rate)
3. AVGUST: A Tool for Generating Usage-Based Tests from Videos of App Executions
Hyojae Park, Saghar Talebipour, Kesina Baral, Leon Yee, Safwat Ali Khan, Kevin Moran, Yuriy Brun, Nenad Medvidovic, and Yixue Zhao
International Conference on Software Engineering, Demonstrations Track (ICSE-Companion), May 2023. [pdf]
2022
2. AVGUST: Automating Usage-Based Test Generation from Videos of App Executions
Yixue Zhao, Saghar Talebipour, Kesina Baral, Hyojae Park, Leon Yee, Safwat Ali Khan, Yuriy Brun, Nenad Medvidovic, and Kevin Moran.
ACM International Conference on the Foundations of Software Engineering (FSE), November 2022. [pdf]
(~37% acceptance rate)
1. Reinforcement Learning As End-User Trigger-Action Programming
Chace Hayhurst, Hyojae Park, Atrey Desai, Suheidy De Los Santos, and Michael Littman.
Interactive Machine Learning Workshop at the AAAI Conference on Artificial Intelligence (AAAI), February 2022. [pdf]
The Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), June 2022. [pdf]
SIGBOVIK
[website]
a breakthrough result in "Diffusion Local Time: hard real-time multilingual data visualization via multimodal-LLM generative AI on heterogeneous edge devices for extremely high-impact chronometry and extremely low-cost neurological diagnostics" (Butterman & Fredericks, SIGBOVIK 2024)