SCI(E) Journal

2025

• Dynamic Class Relation Knowledge Distillation for Semantic Segmentation with the Frontal-viewing Camera of Limited Field of View in an Internet of Things Environment, IEEE Internet of Things Journal, 2025, Sept [pdf]
  Seong In Jeong, Min Su Jeong, Eun Som Jeon*, Kang Ryung Park*

(IF8.9 (2024),  Top 4.1% (COMPUTER SCIENCE, INFORMATION SYSTEMS))

(IF8.2 (2023),  Top 3.4% (COMPUTER SCIENCE, INFORMATION SYSTEMS))

(IF10.6 (2022),  Top 2.2% (COMPUTER SCIENCE, INFORMATION SYSTEMS))

• Intra-class Patch Swap for Self-Distillation, Neurocomputing, 2025, Sept [pdf] [arxiv]
  Hongjun Choi1, Eun Som Jeon1*, Ankita Shukla, Pavan Turaga

(IF6.5 (2024),  Top 17.9% (COMPUTER SCIENCE, ARITIFICIAL INTELLIGENCE))

(IF5.5 (2023),  Top 21.1% (COMPUTER SCIENCE, ARITIFICIAL INTELLIGENCE))

• Ground Reaction Force Estimation via Time-aware Knowledge Distillation, IEEE Internet of Things Journal, 2025, Aug [pdf]  [arxiv]
  Eun Som Jeon*, Sinjini Mitra, Jisoo Lee, Omik M. Save, Ankita Shukla, Hyunglae Lee, Pavan Turaga

(IF8.9 (2024),  Top 4.1% (COMPUTER SCIENCE, INFORMATION SYSTEMS))

(IF8.2 (2023),  Top 3.4% (COMPUTER SCIENCE, INFORMATION SYSTEMS))

(IF10.6 (2022),  Top 2.2% (COMPUTER SCIENCE, INFORMATION SYSTEMS))

• Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data, IEEE Sensors Journal, 2025, Feb [pdf] [arxiv]
  Eun Som Jeon*, Hongjun Choi, Matthew P. Buman, Pavan Turaga

(IF4.3 (2023),  Top 19.1% (INSTRUMENTS & INSTRUMENTATION))

2024

• Robustness of Topological Persistence in Knowledge Distillation for Wearable Sensor Data, EPJ Data Science, 2024, Dec [pdf]
  Eun Som Jeon*, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Hyunglae Lee, Pavan Turaga

(IF3.0 (2023),  Top 12.7% (SOCIAL SCIENCES, MATHEMATICAL METHODS))

• Uncertainty-aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data, IEEE Internet of Things Journal, 2024, Sept [pdf]
  Eun Som Jeon*, Matthew P. Buman, Pavan Turaga

(IF10.6 (2022),  Top 2.2% (COMPUTER SCIENCE, INFORMATION SYSTEMS))

• Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data, Engineering Applications of Artificial Intelligence, 2024, Apr [pdf] [arxiv]
  Eun Som Jeon*, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan Turaga

(IF8.0 (2022),  Top 5% (ENGINEERING, MULTIDISCIPLINARY))

International Conference

• Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation, WACV, 2025, Feb (Tucson, AZ, USA) [code] [pdf] [project]
  Utkarsh Nath, Rajeev Goel, Eun Som Jeon*, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan Turaga
  (Google Scholar - computer vision & pattern recognition Top 9 publication)

• Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations, NeurIPS 2024 Workshop on Behavioral ML, 2024, December (Vancouver, Canada) [code] [pdf]
  Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan Turaga, Theodore P. Pavlic

• A Cognitive Framework for Learning Debiased and Interpretable Representations via Debiasing Global Workspace, NeurIPS 2024 Workshop on UniReps, 2024, December (Vancouver, Canada) [pdf]
  Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan Turaga, Theodore P. Pavlic

• Leveraging Topological Guidance for Improved Knowledge Distillation, ICML 2024 Workshop on GRaM, 2024 July (Vienna, Austria) [code] [pdf]
  Eun Som Jeon*, Rahul Khurana, Aishani Pathak, Pavan Turaga

• Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks, ICASSP, 2023 June (Rhodes, Greece) [code] [pdf]
  Eun Som Jeon*, Suhas Lohit, Rushil Anirudh, Pavan Turaga

• Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study, WACV, 2023 Jan (Hwaii, USA) [code] [pdf]
  Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan Turaga

Domestic (Korea)

• 멀티모달 기반의 지식 증류를 활용한 시계열 데이터의 분류 성능 향상 연구, 한국멀티미디어학회, 2025 May 8-10 (중앙대학교) (우수발표상 수상)
  정재찬, 김준수, 전은솜*

• 웨어러블 센서 데이터 분석을 위한 Topological Persistence Feature 기반 지식 증류, 한국멀티미디어학회, 2025 May 8-10 (중앙대학교)
  김준수, 정재찬, 전은솜*

Patent (Korea)

• “차량 전방 영상의 화각 제한에 강한 의미론적 이미지 분할 모델”, (출원번호 : 10-2025-0100322 , 출원일 : 2025.05), 발명자(박강령, 전은솜, 정성인), 출원인 (동국대학교 산학협력단, 서울과학기술대학교 산학협력단)

Etc.

• Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks

J Hong, ES Jeon, C Kim, KH Park, U Nath, Y Yang, P Turaga, TP Pavlic

arXiv preprint arXiv:2403.14140

• Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation

U Nath, R Goel, ES Jeon, C Kim, K Min, Y Yang, Y Yang, P Turaga

arXiv preprint arXiv:2408.05938

In Submission

• ACDN for debiasing with XAI

• GLW multimodal KD

• GRF estimation with selective feature

• Image Representation KD for wearables

• Language semantic augmentation

1. equal contribution

* corresponding author

More publications are at google scholar.