College of Information and Communication Engineering - College of Information and Communication Engineering

  • Assistant Professor Artificial Intelligence & Data Science
  • CHUN, IL YONG
    Lab Artificial Intelligence & Data Science Lab (AIDSL)

Research Interest

AI, ML, Computational Imaging, Computer Vision, Auto. Driving

Education

  • (08/2009-08/2015) Ph.D. in ECE, Purdue University
  • (03/2002-02/2009) B.Eng. in EE, Korea University

Experience

  • (08/2019-12/2021) Assistant Professor of ECE, University of Hawaii
  • (05/2016-07/2019) Research Fellow of EECS, University of Michigan
  • (08/2015-05/2016) Postdoctoral Research Associate of Math, Purdue University
  • (06/2013-07/2013) Graduate Intern, Samsung Advanced Institute of Technology
  • (05/2011-07/2011) Graduate Intern, Intel Labs

Journal Articles

  • (2023)  Improved test input prioritization using verification monitors with false prediction cluster centroids.  ELECTRONICS.  13,  1:21
  • (2023)  An improved iterative neural network for high-quality image-domain material decomposition in dual-energy CT.  MEDICAL PHYSICS.  50,  4
  • (2023)  Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems.  IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE.  45,  4
  • (2023)  Improved real-time monocular SLAM using semantic segmentation on selective frames.  IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.  24,  3

Conference Paper

  • (2024)  End-to-end driving system using pseudo-expert driving data.  제36회 영상처리 및 이해에 관한 워크샵.  KOREA, REPUBLIC OF
  • (2024)  Improving blind motion deblurring using deep-learning approach with coded exposure photography.  제36회 영상처리 및 이해에 관한 워크샵.  KOREA, REPUBLIC OF
  • (2024)  Light-field reconstruction from focal stack using denoising diffusion restoration models.  제36회 영상처리 및 이해에 관한 워크샵.  KOREA, REPUBLIC OF
  • (2024)  Towards improving detecting cancer with a high recurrence risk with balanced contrastive learning.  제36회 영상처리 및 이해에 관한 워크샵.  KOREA, REPUBLIC OF
  • (2023)  CDPW-S3R3: Self-supervised super-resolution imaging using conditional diffusion model.  2023 한국인공지능학회 추계학술대회.  KOREA, REPUBLIC OF
  • (2023)  Supervised contrastive learning for improving mental illness detection using smartwatch ECG.  2023 한국인공지능학회 추계학술대회.  KOREA, REPUBLIC OF
  • (2023)  A study on the autonomous driving system using infant motor vehicle.  한국정보처리학회 추계학술대회.  KOREA, REPUBLIC OF
  • (2023)  Implementation of autonomous ride-on toy car algorithm based on Arduino.  한국정보처리학회 추계학술대회.  KOREA, REPUBLIC OF
  • (2022)  Self-supervised super-resolution imaging using denoising diffusion probabilistic model.  2022 한국인공지능학회 & 네이버 추계 공동학술대회.  KOREA, REPUBLIC OF