Projects per year
Personal profile
Research interests
ML Enhanced Model Selection for Deep Learning (DL) Inference
On-device AI/ML/DL on Embedded Systems
Embedded Systems and ML (ESML) Lab website
Education/Academic qualification
Computer Science , PhD, University of California at Irvine
Sept 2012 → Sept 2017
Computer Engineering, M.Eng., Yonsei University
Sept 2009 → Feb 2012
Automotive Engineering, B.S, Kookmin University
… → Feb 2001
External positions
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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Effects of Brightness and Class-Unbalanced Dataset on CNN Model Selection and Image Classification Considering Autonomous Driving
Nazir, Z., Yarovenko, V. & Park, J. G., 2024, Neural Information Processing - 30th International Conference, ICONIP 2023, Proceedings. Luo, B., Cheng, L., Wu, Z-G., Li, H. & Li, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 191-203 13 p. (Communications in Computer and Information Science; vol. 1969 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Uniformly Distributed Data Effects in Offline RL: A Case Study in Gridworld Setting
Tokayev, K. & Park, J. G., 2024, Proceedings - 2024 IEEE International Conference on Big Data and Smart Computing, BigComp 2024. Unger, H., Chae, J., Lee, Y-K., Wagner, C., Wang, C., Bennis, M., Ketcham, M., Suh, Y-K. & Kwon, H-Y. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 159-166 8 p. (Proceedings - 2024 IEEE International Conference on Big Data and Smart Computing, BigComp 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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CNN Workloads Characterization and Integrated CPU-GPU DVFS Governors on Embedded Systems
Karzhaubayeva, M., Amangeldi, A. & Park, J-G., Sept 25 2023, In: IEEE Embedded Systems Letters.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Effects of Brightness and Class-Unbalanced Dataset on CNN Model Selection and Image Classification Considering Autonomous Driving
Nazir, Z., Yarovenko, V. & Park, J-G., Nov 20 2023, International Conference on Neural Information Processing. p. 191-203 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Feed-forward Design vs. Mimic Learning for Interpretable Deep Models: A Comparative Study
Park, J-G., Seit, D. & Tokayev, K., Feb 13 2023, 2023 IEEE International Conference on Big Data and Smart Computing (BigComp). p. 69-76 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution