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Professor, Dept. of Artificial Intelligence, Korea University
Won Joo Jeoung
Professor Wonjoo Jung is currently conducting research and teaching in the Department of Artificial Intelligence at Korea University, focusing on the application of AI in physical systems. His work encompasses areas such as speech recognition, brain-computer interfaces (BCI), and the optimization and compression of large-scale AI models.
Practice Areas
Education and Career
· Ph.D., Electrical Engineering, Cornell University, Ithaca, NY, 2002
· M.S., Electrical Engineering, Cornell University, Ithaca, NY, 1999
· Diplom Mathematiker, Univeristaet Regensbrug, Regensbrug, Germany, 1993
· B.S., Mathematics, Korea University, Seoul, Korea, 1989
· Korea University, Seoul, Korea Professor (2014-Present)
Associate Professor (2009-2013)
Assistant Professor (2007-2008)
· Assistant Professor Department of Computer and communication Engineering, Myongji-University, Yongin, Korea (2005 –2007)
Achievements
[Research]
· Moogyeong Kim, Wonzoo Chung, “Phase Retrieval using Deep Dual Alternating Direction Method of Multipliers Network with Deep Sparse Prior Knowledge”, IEEE Transactions on Audio, Speech and Language Processing, Jan. 2025.
· Seyoung Kang, Hyuksoo Shin, Wonzoo Chung, “A novel geometric-based bistatic range grouping algorithm for multi-target localization in distributed · Jinhyo Shin, Wonzoo Chung, “Multiband Convolutional Riemannian Network with Band-wise Riemannian Triplet Loss for Motor Imagery Classification”, IEEE Journal of Biomedical and Health Informatics, Aug. 2024.
· Seokwon Lee, Wonzoo Chung, “Globally Conditioned Conditional FLOW (GCC-FLOW) for Sea Clutter Data Augmentation”, Applied Sciences, Aug. 2024.
· Jonghyun Ko, Wonzoo Chung, “Enhancement of few-shot image classification using eigenimages”, International Journal of Control, Automation and Systems, Dec. 2023.
· Jinhyo Shin, Wonzoo Chung, “Multi-band CNN with band-dependent kernels and amalgamated cross entropy loss for motor imagery classification”, IEEE journal of biomedical and health informatics, Jul. 2023.
· Taehan Kim, Wonzoo Chung, “Collaborative Social Metric Learning in Trust Network for Recommender Systems”, International Journal on Semantic Web and Information Systems (IJSWIS), Jan. 2023.
· Moogyeong Kim, Wonzoo Chung, “A cascade of preconditioned conjugate gradient networks for accelerated magnetic resonance imaging”, Computer Methods and Programs in Biomedicine, Oct. 2022.
· Seyoung Kang, Seonkyo Kim, Cheolsun Park, Wonzoo Chung, “Design method for a wideband non-uniformly spaced linear array using the modified reinforcement learning algorithm”, Sensors, Jul. 2022.
· Seyoung Kang, Taehyun Kim, Wonzoo Chung, “Multi-target localization based on unidentified multiple RSS/AOA measurements in wireless sensor networks”, Sensors, Jun. 2021.
· Seyoung Kang, TaeHyun Kim, WonZoo Chung, “Target localization with unknown transmit power and path-loss exponent using a Kalman filter in WSNs”, Sensors, Nov. 2020.
· Yongkoo Park, Wonzoo Chung, “Optimal channel selection using correlation coefficient for CSP based EEG classification”, IEEE Access, Jun. 2020.
· Yongkoo Park, Wonzoo Chung, “A novel EEG correlation coefficient feature extraction approach based on demixing EEG channel pairs for cognitive task classification”, IEEE Access, May. 2020.
· SeYoung Kang, TaeHyun Kim, WonZoo Chung, “Hybrid RSS/AOA localization using approximated weighted least square in wireless sensor networks”, Sensors, Feb. 2020.
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Information and Communications Broadcasting Innovation Talent Training (R&D)
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Participating Researcher, Artificial Intelligence Graduate School Support Project (Korea University), Institute of Information & Communications Technology Planning & Evaluation (IITP)
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Participating Researcher, AI Innovation Hub R&D Project, Institute of Information & Communications Technology Planning & Evaluation (IITP)
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Software Computing Industry Original Technology Development (R&D, Informatization)
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Principal Investigator, “Development of an Integrated Non-Invasive BCI-Based Cognitive Computing Software Platform for Controlling Real-Life Devices and AR/VR Interfaces with Thoughts,” Institute of Information & Communications Technology Planning & Evaluation (IITP)
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Participating Researcher, “Development of BCI-Based Cognitive Computing Technology Using Deep Learning for Human Intention Recognition,” Institute of Information & Communications Technology Planning & Evaluation (IITP)
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Defense Science Research Institute (ADD) Projects
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Principal Investigator, “Low-Observability Signal Detection Using Wideband Distributed 3D Beamforming Technology”
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Principal Investigator, “Uniform Digital Synthetic Beam Generation Using Reinforcement Learning for Wideband Beamforming”
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Participating Researcher, “Modeling of Electromagnetic Scattering Signals of Maritime Targets for Engagement-Level Analysis (Build-I) in Naval Environments”
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