1. Iljoo Jeong+, Hyunsuk Huh+, Bumsoo Park, Anna Lee, In-Jee Jung*, Seungchul Lee*. MicGraphNet: Microphone Graph Network for Cross-Correlation-based Time Delay Estimation for Accurate Sound Source Localization. Measurement, 2025. (+ equal contribution)
2. Keonhyeok Park+, Jun Hyeong Park+, Bumsoo Park, Hyung Jin Lee, Sooyoung Lee, Iljoo Jeong, Anna Lee, Choon-Su Park*, Seungchul Lee*. Deep Learning Framework for Image Enhancement of Phased Array Ultrasonic Imaging. Results in Engineering, 2025.
3. Hyunsuk Huh+, Iljoo Jeong+, Anna Lee, Seungchul Lee*, Young-Sik Shin*. ABC-HF: Leveraging Falling Acceleration and Body Part Clustering for Physics-grounded Human Fall Detection with mmWave. Engineering Applications of Artificial Intelligence, Vol. 159, 2025. (+ equal contribution)
4. Iljoo Jeong, Bumsoo Park, Keonhyeok Park, Anna Lee, In-Jee Jung*, Seungchul Lee*. Dual-port Conditional Invertible Neural Network for Sound Intensity Compensation in Sound Source Localization. IEEE Transactions on Instrumentation and Measurement, 2024.
5. Inmo Yeon+, Iljoo Jeong+, Seungchul Lee*, Jung-woo Choi*. EchoScan: Scanning Complex Room Geometries via Acoustic Echoes. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2024. (+ equal contribution)
6. Iljoo Jeong, Hyunsuk Huh, In-Jee Jung*, Seungchul Lee*. Deep Learning-based Approach to Improve the Accuracy of TDOA-based Sound Source Localization. Journal of the Acoustical Society of Korea, 2024. (in Korean)
7. Iljoo Jeong, In-Jee Jung*, Seungchul Lee*. Application of Deep Learning for Accurate Source Localization using Sound Intensity Vector. Journal of the Acoustical Society of Korea, 2024. (in Korean)
8. Iljeok Kim, Sung Wook Kim, Jeongsan Kim, Hyunsuk Huh, Iljoo Jeong, Taegyu Choi, Jeongchan Kim, Seungchul Lee*. Single Domain Generalizable and Physically Interpretable Bearing Fault Diagnosis for Unseen Working Conditions. Expert Systems with Applications, 2023.
9. Iljoo Jeong, Soo Young Lee, Keonhyeok Park, Iljeok Kim, Hyunsuk Huh, Seungchul Lee*. Wafer Map Failure Pattern Classification using Geometric Transformation-Invariant Convolutional Neural Network. Scientific Reports, 2023.
10. Namjeong Lee, Sungmin Kim, Iljoo Jeong, Seokman Sohn, Seungchul Lee*. Ensemble Method of Rule-Based and Deep Learning for Rotating Machine Diagnostics. The Korean Society for Noise and Vibration Engineering, 2020. (in Korean)
Other Applications
1. Keonhyeok Park+, Jong Young Lee+, Soo Young Lee, Iljoo Jeong, Jin Won Kim, Sun Ah Nam, Hyung Wook Kim*, Seungchul Lee*, Yong Kyun Kim*. Deep Learning Predicts the Differentiation of Kidney Organoids Derived from Human Induced Pluripotent Stem Cells. Kidney Research and Clinical Practice, 2022.
2. Hyeonji Kim+, Keonhyeok Park+, Jung-Min Yon+, Sung Won Kim, Soo Young Lee, Iljoo Jeong, Jinah Jang*, Seungchul Lee*, Dong-Woo Cho*. Predicting Multipotency of Human Adult Stem Cells Derived from Various Donors through Deep Learning. Scientific Reports, 2022. (+ equal contribution)
3. Keonhyeok Park, Bumsoo Park, Sooyoung Lee, Iljoo Jeong, Choon-Su Park, Anna Lee, YoungKi Kim, Hyung Jin Lee*, Seungchul Lee*. Physics-augmented Deep Learning for Noise-robust Inverse Design of Acoustic Scatterer. (Submitted)
1. Iljoo Jeong*, Jong hyeok Chae, Seunghun Oh. Physics-Grounded Milling Parameter Optimization for Surface Quality under Process Constraints. PRESM 2026, Singapore.
2. Iljoo Jeong*. Toward Physical AI-Enabled Autonomous Production Logistics in Aircraft Manufacturing. Invited Presentation, PHM Korea, 2026.
3. Chulwoo Ha, Iljoo Jeong*. Vision-Based Shape Reconstruction for Wear Diagnosis of Cutting Saw Blades. PHM Korea, 2026.
4. Iljoo Jeong*, Jong hyeok Chae. Deep Learning-Based Diagnostic Method for Drag Torque in Permanent Magnet Synchronous Motors. Korean Society for Fluid Machinery, 2024.
5. Inmo Yeon, Iljoo Jeong, Seungchul Lee*, Jung-Woo Choi*. Complex Room Shape Estimation using Room Impulse Response. The Acoustical Society of Korea, 2024.
6. Iljoo Jeong, Hyunsuk Huh, In-Jee Jung*, Seungchul Lee*. Deep Learning-based Approach to Improve the Accuracy of TDOA-based Sound Source Localization. The Acoustical Society of Korea, 2024.
7. Hyunsuk Huh, Iljoo Jeong, Seungchul Lee*. Integrated Approach of Segmentation and Semi-Supervised Learning for Fault Acoustic Signal Separation. The Acoustical Society of Korea, 2024.
8. Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Jun Hyung Park, Hyung Jin Lee, Choon-Su Park*, Seungchul Lee*. Deep Learning-based Image Translation for High-Quality and Fast Phased Array Ultrasonic Imaging. IEEE IUS 2023, Montreal, Canada.
9. Gyu-Hwan Lee, Iljoo Jeong, Keonhyeok Park, Kangmin Lee, Seungchul Lee, Jee Hyun Choi*, Choon-Su Park*. Tracking Mouse USV Origins with Functional Beamforming on Sparse Arrays. The Korean Physical Society (KPS), 2023.
10. Hyunsuk Huh, Jeong-Jung Kim, Iljeok Kim, Iljoo Jeong, Doo-Yeol Koh, Chang-Hyun Kim, Seungchul Lee*. Estimation of Simulated Physical Properties of an Object using Robot with Tactile Sensors and Attention Mechanism. 20th Int. Conf. on Ubiquitous Robots (UR), Honolulu, USA, 2023.
11. Iljoo Jeong, Inmo Yeon, Jung-Woo Choi, Seungchul Lee*. Deep Learning to Transform Echoes into Room Layouts for Metaverse Realization. KSNVE, 2023.
12. Inmo Yeon, Iljoo Jeong, Seungchul Lee, Jung-Woo Choi*. DNN-Based Room Layout Estimation Method. KSNVE, 2023.
13. Iljoo Jeong, Keonhyeok Park, Soo Young Lee, Injee Jung, Jiho Chang, Seungchul Lee*. Robust Sound Source Localization against Background Noise by Deep Reconstruction Method. International Congress on Acoustics (ICA), 2022.
14. Iljoo Jeong, Injee Jung, Seungchul Lee*. Localization Error Compensation of 3D Acoustic Intensity Using Physics-Based Artificial Neural Network. KSNVE, 2022.
15. Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Chunsoo Park, Hyoungjin Lee, Seungchul Lee*. Physics-grounded Deep Learning Approach for Acoustic Scattering Inverse Design. KSNVE Spring Conference, 2022.
16. Iljoo Jeong, Mooyeob Lee, Seungchul Lee*. Deep Learning-based Position-aware Wafer Map Pattern Retrieval. KSNVE, 2021.
17. Iljoo Jeong, Seungchul Lee*. Wafer Map Failure Pattern Classification Using Geometrical Transformation Invariant Convolutional Neural Network. KSME, 2021.
18. Iljoo Jeong, Sungmin Kim, Namjeong Lee, Seokman Sohn, Seungchul Lee. Rotating Machinery Diagnosis Based on Explainable Deep Learning. KSNVE, 2020.
19. Seungchul Lee, Juhyeong Jeon, Yunseob Hwang, Iljoo Jeong, Yeonjae Han, Sun Im. Pathological Voice Diagnostics using Deep Learning. KSNVE, Jeju, Korea, 2019.
20. Seungchul Lee, Namjeong Lee, Iljoo Jeong, Sungmin Kim, Sukman Shon. Ensemble Methods of Rule-based Expert System and Data-driven AI Model: Case Study of Rotating Machinery. KSNVE, Jeju, Korea, 2019.