Our group aims to develop Artificial General Intelligence (AGI) technologies. We research not only cutting-edge AI algorithms in the classical AI fields like computer vision and natural language processing, but also study future AI technologies, especially like incremental learning, continual (lifelong) learning, unsupervised representation learning, and memory networks. We have interested in the various research topics including but not limited to:

  1. Continual Learning for Artificial General Intelligence
    1. Online incremental and few-shot learning
    2. Continual unsupervised domain adaptation
    3. Lifelong language learning and its applications: question answering, goal-oriented dialogues, text classification, language generation, etc.
    4. Universal continual learning for multi-domain tasks

  2. Memory Networks for Autonomous Intelligent Agent
    1. Advanced developmental memory networks
    2. Memory-based personalized recommendation systems


We are looking for graduate students to research together in Artificial General Intelligence Laboratory (AGI Lab.) at Computer Science and Engineering, Kyung Hee University. In our lab, we are interested in developing multi-modal AI algorithms associated with computer vision and natural language processing, and studing continual learning techniques of modern deep learning algorithms. If you are interested in the above research fields, please contact Prof. Gyeong-Moon Park (gmpark@khu.ac.kr).
경희대학교 컴퓨터공학과 일반인공지능 연구실(AGI Lab.)에서 함께 연구할 대학원생을 모집합니다. AGI 연구실에서는 컴퓨터비전, 자연어처리 등 복합모달 인공지능 알고리즘 개발과 딥러닝의 연속학습 기술을 연구하고 있습니다. 위 연구분야에 관심있거나 진학 관련 상담을 원하는 학생은 박경문 교수(gmpark@khu.ac.kr)에게 연락 바랍니다.



Assistant professor at KHU (~ 2021).