Computer Science and Engineering, Seoul National University of Science and Technology
232 Gongneung-ro, Nowon-gu, Seoul, 01811, Korea Tel:+82-2-970-6707
Copyright © Seoul National University of Science and Technology. All Rights Reserved.
Faculty
Name |
Eunsom Jeon |
MAJOR |
Image and Signal Processing, Biometrics, Artificial Intelligence, Machine Learning |
TEL |
02-970-6710 |
E-mail |
ejeon6@seoultech.ac.kr |
Biography
B.BA. 2014. 8 Electronics and Electrical Eng, Dongguk Univ.
Ms.D. 2016. 2. Electronics and Electrical Eng, Dongguk Univ.
Ph.D. 2023. 12. Computer Eng, Arizona State Univ.
Ms.D. 2016. 2. Electronics and Electrical Eng, Dongguk Univ.
Ph.D. 2023. 12. Computer Eng, Arizona State Univ.
Careers
- 2016.01~2020.01 Korea Telecom (Institute of Convergence Technology)
- 2023.10~2024.08 Postdoctoral Researcher at ASU
- 2024.09~ Seoul National University of Science and Technology, Computer Science and Engineering.
- 2023.10~2024.08 Postdoctoral Researcher at ASU
- 2024.09~ Seoul National University of Science and Technology, Computer Science and Engineering.
Research Areas
Image and Signal Processing, Biometrics, Artificial Intelligence, Machine Learning
Teaching
- Linear Algebra, Computer Graphics
Selected Publications
E. S. Jeon, M. P. Buman and P. Turaga, "Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data," IEEE Internet of Things Journal, 2024.
E. S. Jeon, H. Choi, A. Shukla, Y. Wang, Y., H. Lee, M. P. Buman and P. Turaga, "Topological persistence guided knowledge distillation for wearable sensor data," Engineering Applications of Artificial Intelligence, 130, 107719, 2024.
E. S. Jeon, S. Lohit, R. Anirudh, and P. Turaga, "Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks," In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2023.
H. Choi, E. S. Jeon, A. Shukla, and P. Turaga, "Understanding the role of mixup in knowledge distillation: An empirical study," In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2319-2328, 2023.
E. S. Jeon, H. Choi, A. Shukla, Y. Wang, Y., H. Lee, M. P. Buman and P. Turaga, "Topological persistence guided knowledge distillation for wearable sensor data," Engineering Applications of Artificial Intelligence, 130, 107719, 2024.
E. S. Jeon, S. Lohit, R. Anirudh, and P. Turaga, "Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks," In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2023.
H. Choi, E. S. Jeon, A. Shukla, and P. Turaga, "Understanding the role of mixup in knowledge distillation: An empirical study," In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2319-2328, 2023.
Journal Papers
E. S. Jeon, M. P. Buman and P. Turaga, "Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data," IEEE Internet of Things Journal, 2024.
E. S. Jeon, H. Choi, A. Shukla, Y. Wang, Y., H. Lee, M. P. Buman and P. Turaga, "Topological persistence guided knowledge distillation for wearable sensor data," Engineering Applications of Artificial Intelligence, 130, 107719, 2024.
E. S. Jeon, H. Choi, A. Shukla, Y. Wang, M. P. Buman and P. Turaga, "Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-14, 2023.
E. S. Jeon, H. Choi, A. Shukla, and P. Turaga, "Leveraging angular distributions for improved knowledge distillation," Neurocomputing, 518, 466-481, 2023.
E. S. Jeon, A. Som, A. Shukla, K. Hasanaj, M. P. Buman and P. Turaga, "Role of data augmentation strategies in knowledge distillation for wearable sensor data," IEEE internet of things journal, 9(14), 12848-12860, 2021.
E. S. Jeon, H. Choi, A. Shukla, Y. Wang, Y., H. Lee, M. P. Buman and P. Turaga, "Topological persistence guided knowledge distillation for wearable sensor data," Engineering Applications of Artificial Intelligence, 130, 107719, 2024.
E. S. Jeon, H. Choi, A. Shukla, Y. Wang, M. P. Buman and P. Turaga, "Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-14, 2023.
E. S. Jeon, H. Choi, A. Shukla, and P. Turaga, "Leveraging angular distributions for improved knowledge distillation," Neurocomputing, 518, 466-481, 2023.
E. S. Jeon, A. Som, A. Shukla, K. Hasanaj, M. P. Buman and P. Turaga, "Role of data augmentation strategies in knowledge distillation for wearable sensor data," IEEE internet of things journal, 9(14), 12848-12860, 2021.
◾ Robustness of topological persistence in knowledge distillation for wearable sensor data, EPJ Data Science, 2024전은솜
Conference Papers
E. S. Jeon, R. Khurana, A. Pathak, and P. Turaga, "Leveraging Topological Guidance for Improved Knowledge Distillation," In Proceedings of the ICML Workshop on Geometry-grounded Representation Learning and Generative Modeling (ICMLW), 2024.
E. S. Jeon, S. Lohit, R. Anirudh, and P. Turaga, "Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks," In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2023.
H. Choi, E. S. Jeon, A. Shukla, and P. Turaga, "Understanding the role of mixup in knowledge distillation: An empirical study," In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2319-2328, 2023.
E. S. Jeon, H. Choi, A. Shukla, Y. Wang, M. P. Buman, and P. Turaga, "Topological knowledge distillation for wearable sensor data," In Proceedings of the Asilomar Conference on Signals, Systems, and Computers, pp. 837-842, 2022.
E. S. Jeon, S. Lohit, R. Anirudh, and P. Turaga, "Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks," In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2023.
H. Choi, E. S. Jeon, A. Shukla, and P. Turaga, "Understanding the role of mixup in knowledge distillation: An empirical study," In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2319-2328, 2023.
E. S. Jeon, H. Choi, A. Shukla, Y. Wang, M. P. Buman, and P. Turaga, "Topological knowledge distillation for wearable sensor data," In Proceedings of the Asilomar Conference on Signals, Systems, and Computers, pp. 837-842, 2022.
◾ Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic, Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations, NeurIPS 2024 Workshop on Behavioral Machine Learning, Vancouver Convention Center, 2024전은솜
◾ Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic, A Cognitive Framework for Learning Debiased and Interpretable Representations via Debiasing Global Workspace, UniReps Workshop, Vancouver Convention Center, 2024전은솜