Yonsei University, Ph.D. in Industrial Engineering, 2021

Yonsei University, B.S. in Industrial Engineering, 2015

Assistant Professor, The Catholic University of Korea, 2022-Present

Postdoctoral Scholar, Northwestern University, 2021-2022

• Jaeyeon Jang*, Synthetic unknown class learning for learning unknowns, Pattern Recognition, 153, 110560, 2024

• Jaeyeon Jang and Chang Ouk Kim*, Collective decision of one-vs-rest networks for open set recognition, IEEE Transactions on Neural Networks and Learning Systems, 35(2), 2327-2338, 2024.

• Seung Ryeong Baek and Jaeyeon Jang*, A two-stage semi-supervised object detection method for SAR images with missing labels based on meta pseudo-labels, Expert Systems with Applications,  236, 121405, 2024.

• Jaeyeon Jang and Chang Ouk Kim*, Teacher-explorer-student learning: A novel learning method for open set recognition, IEEE Transactions on Neural Networks and Learning Systems, Published Online, 2023.

• Ha Jun Hwang, Jaeyeon Jang, Jongkwan Choi, Jung Ho Bae, Sung Ho Kim, and Chang Ouk Kim*, Stepwise Soft Actor-Critic for UAV Autonomous Flight Control, Drones, 7(9), 549, 2023.

• GyeongTaek Lee, KangJin Kim, and Jaeyeon Jang*,  Real-time path planning of controllable UAV by subgoals using goal-conditioned reinforcement learning, Applied Soft Computing, 146, 110660, 2023.

• Hyeong Gu Lim, Jaeyeon Jang, Byung Kook Ju, Jae Woo Ko, and Chang Ouk Kim*, A test vector selection method based on machine learning for efficient presilicon verification, Expert Systems with Applications, 224, 120056, 2023.

• Jaeyeon Jang and Gyeong Taek Lee*, Decision fusion approach for detecting unknown wafer bin map patterns based on a deep multitask learning model, Expert Systems with Applications, 215, 119363, 2023.

• Gyeong Taek Lee, HyeongGu Lim, and Jaeyeon Jang*, Sequential residual learning for multistep processes in semiconductor manufacturing, IEEE Transactions on Semiconductor Manufacturing, 36(1), 37-44, 2023.

• Jaeyeon Jang*, A deep learning-based conditional system health index method to reduce the uncertainty of remaining useful life prediction, Soft Computing, 27, 3641-3654, 2023.

• Jaeyeon Jang and Chang Ouk Kim*, Siamese network-based health representation learning and reference-based robust remaining useful life prediction, IEEE Transactions on Industrial Informatics, 18(8), 5264-5274, 2022.

• Jaeyeon Jang and Chang Ouk Kim*, Unstructured borderline self-organizing map: learning highly imbalanced, high-dimensional datasets for fault detection, Expert Systems with Applications, 188, 116028, 2022.

• Sinyoung Kim, Jaeyeon Jang, and Chang Ouk Kim*, A run-to-run controller for a chemical mechanical planarization process using least squares generative adversarial networks, Journal of Intelligent Manufacturing, 32, 2267–2280, 2021.

• Seyoung Park, Jaeyeon Jang, and Chang Ouk Kim*, Discriminative feature learning and cluster-based defect label reconstruction for reducing uncertainty in wafer bin map labels, Journal of Intelligent Manufacturing, 32, 251–263, 2021.

• Jaeyeon Jang, Minkyung Seo, and Chang Ouk Kim*, Support weighted ensemble model for open set recognition of wafer map defects, IEEE Transactions on Semiconductor Manufacturing, 33(4), 635-643. 2020.

• Jaeyeon Jang and Byung Do Chung*, Aggregate production planning considering implementation error: A robust optimization approach using bi-level particle swarm optimization, Computers & Industrial Engineering, 142, 106367, 2020.

• Jaeyeon Jang, Byung Wook Min, and Chang Ouk Kim*, Denoised residual trace analysis for monitoring semiconductor process faults, IEEE Transactions on Semiconductor Manufacturing, 32(3), 293-301, 2019.

• Jaeyeon Jang, Hyui Geon Yoon, Jeong Cheol Kim, and Chang Ouk Kim*, Adaptive weapon-to-target assignment model based on the real-time prediction of hit probability, IEEE Access, 7, 72210-72220, 2019.

• Jueun Kwak, Ki Bum Lee, Jaeyeon Jang, Kyong Soo Chang, and Chang Ouk Kim*, Automatic inspection of salt-and-pepper defects in OLED panels using image processing and control chart techniques, Journal of Intelligent Manufacturing, 30(3), 1047-1055, 2019.

• Seokgi Lee*, Byung Do Chung, Hyun Woo Jeon, and Jaeyeon Jang, A dynamic control approach for energy-efficient production scheduling on a single machine under time-varying electricity pricing, Journal of Cleaner Production, 165(1), 552-563, 2017.

• 이한강, 장재연, 안재민, 김창욱*, 유도탄의 실시간 표적 재지정을 위한 랜덤 포레스트 기법과 시뮬레이션 기반 효과 분석, 한국시뮬레이션학회 논문지, 27(2), 35-48, 2018.

• 장재연, 이호엽, 김창욱*, 군중 행동 모형을 이용한 재난 대응 시뮬레이션: 영화관을 중심으로, Telecommunications Review, 24(6), 828-839, 2014.

• Jaeyeon Jang, Daeyeol Yang, and Chang Ouk Kim*, A conditional system health index based prognostics and health management method for uncertainty management, In INFORMS International Conference, 2019.

• 류승열, 김건우, 장재연*, 적응적 자기 지도 학습: 데이터 노이즈에 강건한 표면 이상 탐지 모델 개발, 대한산업공학회/한국경영과학회 춘계공동학술대회, 2023.

• 김상진, 장재연, 김창욱*, Wafer grading process based on Bayesian optimization with inattention mechanism, 대한산업공학회/한국경영과학회 춘계공동학술대회, 2023.

• 김신영, 장재연, 김창욱*, LSGAN을 이용한 chemical mechanical planarization 공정의 run-to-run 제어 모델, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2019.

• 장재연, 이한강, 김창욱*, 랜덤 포레스트 기법과 시뮬레이션을 이용한 전술탄도미사일 위협 상황에서의 유연한 교전 체인 모델 연구, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2018.

• 이한강, 김창욱*, 장재연, 엄민용, 태재웅, 반도체 에칭 공정에서 웨이퍼 내의 공간 위치를 고려한 가상 계측 모형, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2017.

• 장재연, 민병욱, 김창욱*, Denoising Autoencoder 기반의 반도체 공정 이상 탐지, 대한산업공학회 추계학술대회, 2016.

• 장재연, 이호엽, 김창욱*, 2단계 군중 행동 모형을 이용한 복잡한 건물의 재난 대피 시뮬레이션, 대한산업공학회/한국경영과학회/한국산업경영시스템학회/한국시뮬레이션학회 춘계공동학술대회, 2016.

• 장재연, 이호엽, 김창욱*, 멀티 에이전트 시뮬레이션을 이용한 영화관 재난 대피 모형, 한국경영과학회 추계학술대회. 2014.

• Jaeyeon Jang*, Young-Ik Kim, Jisu Lim, and Hyeonseong Lee, Adaptive teaching with shared classifier for knowledge distillation, Submitted to NeurIPS 2024. https://arxiv.org/abs/2406.08528

• Jaeyeon Jang*, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, and Tzung-Han Juang, Learning multiple coordinated agents under directed acyclic graph constraints, Submitted to IEEE Transactions on Neural Networks and Learning Systems. https://arxiv.org/abs/2307.07529

• Seungyeol Ryu, Geonwoo Kim, and Jaeyeon Jang*, An adaptive contrastive learning based robust surface defect detection model for noisy datasets, Submitted to Expert Systems with Applications.

• Soonjae Kwon, Jaeyeon Jang and Chang Ouk Kim*, Credit scoring using multi-task Siamese neural network for improving prediction performance and stability, Submitted to Expert Systems with Applications.

• Jaeyeon Jang*, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, and Tzung-Han Juang, Scalable multi-agent reinforcement learning for fab-wide dynamic scheduling.

• Jaeyeon Jang*, Diego Klabjan, Veena Mendiratta, and Fanfei Meng, Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network. https://arxiv.org/abs/2404.09443

• Ju Won Min and Jaeyeon Jang*, Confidence-based robust federated learning method for distributed energy load forecasting

• Jaeyeon Jang, Hong Joo Lee, Minsik Kim, Geon Woo Kim, Seung Yeol Ryu, Hyeoni Kim, Care product recommendation system to improve nursing service quality, 10-2023-0185772 (application), KR, Dec. 2023.

• Jaeyeon Jang, Hong Joo Lee, Minsik Kim, Seung Yeol Ryu, and Ju Won Min, Method for training caregiver-patient matching model that infers matching information between caregiver and patient and matching caregiver-patient using caregiver-patient matching model, 10-2635315, KR, Feb. 2024.

• Chang Ouk Kim and Jaeyeon Jang, Method for fault detection and fault diagnosis in semiconductor manufacturing process, 10-2362159, KR, Feb. 2022.

• Chang Ouk Kim and Jaeyeon Jang, Method for fault detection and fault diagnosis in semiconductor manufacturing process, 10-2291964, KR, Aug. 2021.

(Apr 24 - Nov 24) AI-based hospital care system development

National Research Foundation of Korea (NRF) and Code Blossom (PI)

(Jul 23 - Dec 23) Development of a care product recommendation system for enhancing caregiving service quality

National Research Foundation of Korea (NRF) and Code Blossom (PI)

(Sep 22 - Jan 23) Customer-customized information system development for patients, protectors, caregivers based on big data analysis

National Research Foundation of Korea (NRF) and Code Blossom (PI)

(Jun 22 - Feb 24) Open Set recognition system development for process intelligence

National Research Foundation of Korea (NRF) (PI)

(May 22 - Nov 22) AI based laser welding anomaly detection algorithm development

LG Electronics

(Jun 21 - Dec 22) Agile manufacturing systems

Intel

(Sep 20 - May 21) Lifetime prediction based optimization modeling for semiconductor sub-component inventory management

SK Hynix

(Jun 19 - May 21) An intelligent production management system based on artificial intelligence scheduler

National Research Foundation of Korea (NRF)

(Jun 19 - Aug 20) A preliminary study on AI/PHM technique for prediction of engine health condition and diagnosis of aging

Korea Shipbuilding & Offshore Engineering

(Sep 19 - Feb 20) Process substrate image location correction and unknown defect detection model development

SK Hynix

(Feb 19 - Jun 19) Machine learning based quality control system in wafer testing

SK Hynix

(Jun 16 - May 19) Smart thinking factory: Intelligent production management using manufacturing data science

National Research Foundation of Korea (NRF)

(Jun 16 - Feb 18) A study on the real-time reassigning technique of guided missile

South Korea Agency for Defense Development

(Mar 16 - Feb 17) Deep learning technique development to maximize the performance of detecting various spot defects

Samsung Display