I am assistant professor at Kyung Hee University (KHU), leading the Artificial General Intelligence (AGI) Lab. I received the B.S. degree in electronic and electrical engineering from Sungkyunkwan University, Suwon, Korea in 2014, and the M.S. and Ph.D. degrees in electrical engineering from KAIST, Daejeon, Korea in 2016 and 2019, respectively. My research interests include autonomous robots, online incremental learning, continual learning, natural language processing, and reinforcement learning.
Room #325-4, College of Electronics Information, AGI Lab. Computer Science and Engineering, Kyung Hee University (KHU) 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 17104, Republic of Korea Email: gmpark@khu.ac.kr / yowoou@gmail.com Web: agi.khu.ac.kr
Download C.V. ContactKAIST, Daejeon, Republic of Korea Ph.D. in School of Electrical Engineering, Aug. 2019 Thesis: "Memory-based Continual Learning for Autonomous Intelligent Agent" Advisor: Prof. Jong-Hwan Kim
KAIST, Daejeon, Republic of Korea M.S. in School of Electrical Engineering, Feb. 2016 Thesis: "Deep ART Memory Based Cognitive Architecture for Robots" Advisor: Prof. Jong-Hwan Kim
Sungkyunkwan University, Suwon, Republic of Korea B.S. in Electronic and Electrical Engineering, Feb. 2014 Thesis: "The Enhancement of Light Extraction Efficiency of Blue-LED by Using Double Layer Photonic Crystals" Advisor: Prof. Bong-Shik Song
Kyung Hee University, Suwon, Republic of Korea Assistant Professor, Computer Science and Engineering, Mar. 2021 - Present
ETRI, Daejeon, Republic of Korea Researcher in Artificial Intelligence Research Laboratory, Mar. 2020 - Feb. 2021
KAIST, Daejeon, Republic of Korea Postdoctoral Researcher in Information & Electronics Research Institute, Aug. 2019 - Feb. 2020
Professor at KHU • CSE203: “Computer Architecture” (3-credits) • CSE7521: “Advanced Probability and Statistics” (3-credits) • AI7005: “Advanced Deep Learning” (3-credits)
Teaching Assistant at KAIST • EE212: “Electronics Design and Practice” (3-credits) • EE381: “Control System Engineering” (3-credits) • EE490: “B.S. Thesis Research” (3-credits) • EE495: “Individual Study” (3-credits)
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J.-Y. Moon*, K.-H. Park*, J. U. Kim✝, and G.-M. Park✝ "Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning" International Conference on Computer Vision (ICCV), Paris, France, Oct. 2023.
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J. Seo*, J.-S. Kang*, and G.-M. Park "LFS-GAN: Lifelong Few-Shot Image Generation" International Conference on Computer Vision (ICCV), Paris, France, Oct. 2023.
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Y.-H. Ahn, G.-M. Park✝, and S. T. Kim✝ "LINe: Out-of-Distribution Detection by Leveraging Important Neurons" Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, Jun. 2023.
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S.-J. Moon and G.-M. Park "IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion" European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, Oct. 2022.
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Joonhyuk Kim, Inug Yoon, G.-M. Park, and J.-H. Kim "Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification" The British Machine Vision Conference (BMVC), Manchester, England, Sep. 2020.
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Joonhyuk Kim, G.-M. Park, and J.-H. Kim "A Two-phase Multi-channel Classification Resonance Network" International Conference on Robot Intelligence Technology and Applications (RiTA), Daejeon, Korea, Nov. 2019.
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Dick Sigmund, G.-M. Park, and J.-H. Kim "Context Preference-based Deep Adaptive Resonance Theory: Integrating User Preference into Episodic Memory Encoding and Retrieval" IEEE International Joint Conference on Neural Networks (IJCNN), Alaska, USA, May. 2017.
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Y.-H. Yoo, D.-H. Kim, G.-M. Park, I.-B. Jeong, S.-H. Baek, S.-J. Ryu, and J.-H. Kim "Memory-based Realization of Task Intelligence for Robots in Human Environment" IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop, Daejeon, Korea, Oct. 2016.
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G.-M. Park, Sanghyun Cho, and J.-H. Kim "Biologically-Inspired Episodic Memory Model Considering the Context Information" IEEE Conference on System, Man, and Cybernetics (SMC), Hungary, Budapest, Oct. 2016.
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G.-M. Park and J.-H. Kim "Deep Adaptive Resonance Theory for Learning Biologically Inspired Episodic Memory" IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, Jul. 2016.
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G.-M. Park, Y.-H. Yoo, and J.-H. Kim "REM-ART: Reward-based Electromagnetic Adaptive Resonance Theory" International Conference on Artificial Intelligence (ICAI), Las Vegas, U.S.A., Jul. 2015.
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G.-M. Park, S.-H. Baek, and J.-H. Kim "Falling Prevention System from External Disturbances for Humanoid Robots" International Conference on Robot Intelligence Technology and Applications (RiTA), Beijing, China, Nov. 2014.
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A.-H. Shin, S. T. Kim✝, and G.-M. Park✝ "Time Series Anomaly Detection using Transformer-based GAN with Two-Step Masking" IEEE Access, pp. 1-13, Jun. 2023.
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J.-W. Choi, G.-M. Park, and J.-H. Kim "SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network" IEEE Transactions on Cybernetics (TCYB), vol. 52, no. 10, pp. 10339-10351, Oct. 2022.
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G.-M. Park and J.-H. Kim "Adaptive Developmental Resonance Network" IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 32, no. 10, pp. 4347-4361, Oct. 2021.
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G.-M. Park, S.-M. Yoo, and J.-H. Kim "Convolutional Neural Network with Developmental Memory for Continual Learning" IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 32, no. 6, pp. 2691-2705, Jun. 2021.
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G.-M. Park, J.-W. Choi, and J.-H. Kim "Developmental Resonance Network" IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 4, pp. 1278-1284, Apr. 2019.
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G.-M. Park, Y.-H. Yoo, D.-H. Kim, and J.-H. Kim "Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots" IEEE Transactions on Cybernetics (TCYB), vol. 48, no. 6, pp. 1786-1799, Jun. 2018.
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D.-H. Kim, G.-M. Park, Y.-H. Yoo, I.-B. Jeong, and J.-H. Kim "Realization of Task Intelligence for Service Robots in an Unstructured Environment" Annual Reviews in Control (IFAC), vol. 44, no. 1, pp. 9-18, Sep. 2017.
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I.-B. Jeong, W.-R. Ko, G.-M. Park, D.-H. Kim, Y.-H. Yoo, and J.-H. Kim "Task Intelligence of Robots: Neural Model-based Mechanism of Thought and Online Motion Planning" IEEE Trans. Emerg. Topics Comput. Intell. (TETCI), vol. 1, no. 1, pp. 41-50, Feb. 2017.
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A.-H. Shin and G.-M. Park "Method for Detecting Anomaly in Time Series Data and Computing Device for Executing the Method" Korean Patent Application (10-2021-0175107)
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E.-S. Chung, H.-W. Kim, G.-M. Park, J.-G. Park, H.-J. Song, B.-H. Yoo, and R. Han "System and Method for Adaptive Masking and Non-Directional Language Understanding and Generation" Korean Patent Application (10-2020-0168645)
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G.-M. Park, H.-W. Kim, J.-G. Park, H.-J. Song, B.-H. Yoo, E.-S. Chung, and R. Han "Device and Method for Learning Natural Language Processing Comprising External Memory Network" Korean Patent Application (10-2020-0141061)
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H.-J. Song, H.-W. Kim, G.-M. Park, B.-H. Yoo, E.-S. Chung, and R. Han "Method and Apparatus for Multi-level Verification Learning" Korean Patent Application (10-2020-0104620)
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H.-W. Kim, G.-M. Park, J.-G. Park, H.-J. Song, B.-H. Yoo, E.-S. Chung, and R. Han "Method and Apparatus for Online Bayesian Few-shot Learning" Korean Patent Application (10-2020-0075025)
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B.-S. Song, G.-B. Park, and G.-M. Park "A Light Emitting Diode Containing a Double-Layered Photonic Crystal Structure" Korean Patent Registration (10-1529817)
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Development of Robot Hand Manipulation Intelligence to Learn Methods and Procedures for Handling Various Objects with Tactile Robot Hands (2018 - 2019) Supervision: National IT Industry Promotion Agency (NIPA) Role: Project leader (2019) & Development of knowledge transfer learning technology for Deep RL, applicable to other task environments and objects of new domain
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Research on Adaptive Machine Learning Technology Development for Intelligent Autonomous Digital Companion (2016 - 2019) Supervision: Institute of Information & Communications Technology Planning & Evaluation (IITP) Role: Sub-team leader (2016-2019) & Memory-based developmental learning and continual learning for deep neural networks
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Long-Term Memory Module based intelligent Operating Architecture Design Technology for Implementing Artificial Intelligence (2015 - 2019) Supervision: Samsung Device Solutions (DS) Role: Project leader (2016-2018) & Design of long-term memory module for intelligent Operating Architecture (iOA)
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Development of Robot Task Intelligence Technology that can Perform Task more than 80% in Inexperience Situation (2014 – 2018) Supervision: Korea Evaluation Institute of Industrial Technology (KEIT) Role: Project leader (2017-2018) & Design of long-term memory which can do adaptive knowledge acquisition for task intelligence of the robot & General Manager of real robot experiments
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Development of Container Carrier Shape Measurement System (2014) Supervision: Hyundai Heavy Industry (HHI) Role: Researcher (2014) & Design of the motor control board and product test
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Robust Unified Navigation Technology of Humanoid Robot Using Gaze Control, Posture Learning and Footstep Planning (2014) Supervision: National Research Foundation of Korea (NRF) Role: Sub-team leader (2014) & Development of the kid-sized humanoid robot (HanSaRam) & Design of the robust posture controller
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Conference Reviewer (2020 - Present) • Computer Vision and Pattern Recognition (CVPR) • International Conference on Computer Vision (ICCV) • European Conference on Computer Vision (ECCV) • Conference on Empirical Methods in Natural Language Processing (EMNLP) • The International Conference on Robotics and Automation (ICRA)
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Journal Reviewer (2016 - Present) • IEEE Trans. on Industrial Electronics (TIE) • IEEE Trans. on Cybernetics (TCYB) • IEEE Trans. on Neural Networks and Learning Systems (TNNLS) • IEEE Robotics and Automation Letters (RA-L)
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[Competition] Robotic Grasping and Manipulation Competition (COEX, Seoul)(12/2019) Supervision: National IT Industry Promotion Agency (NIPA) Role: Project leader of team KAIST for the robotic grasping competition
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[Workshop] AI Flagship Open Workshop (Pangyo Techno Valley)(11/2019) Supervision: KAIST MIR-MSREP (site) Role: Presenter for both oral and poster sessions (topic: Long-Term Memory based Assistant AI for Recipe Recommendation)
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[Workshop] Developing Robots for Social Acceptance (DRSA) (11/2019) Role: Research presentations & Discussion of the research collaboration between KAIST and Aalborg Univ. in Denmark
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[Reviewer] KAIST IP-CEO Program (07/2019) Role: Advisor & Reviewer to the presentations of explainable AI and cooperating robots
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[Presenter] Pangyo Future Forum: "Fourth Industrial Revolution and AI Korea" (02/2019) Role: Presenter in the poster session (topic: Convolutional Neural Network with Developmental Memory)
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[Consultant] The Busan National Science Museum (04/2018) Role: Advisory committee & Comments to the inquiries about the installation of the intelligent receptionist robots in the BNSM robby
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[Media] EBS Docuprime: "Educational Huge Revolution in the era of Fourth Industrial Revolution" (09/2017) Role: Interview as the KAIST robotics engineer & Demonstration of robot experiment (click)
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[Student Representative] Robot Intelligence Technology Laboratory at KAIST (2017)