Yechan Kim is currently pursuing a Ph.D. degree in artificial intelligence from GIST (Gwangju Institute of Science and Technology) in South Korea. He received the B.S. degree (summa cum laude) in the College of Education from Jeju National University, South Korea, in February 2020, and the M.S. degree (cum laude) in the School of Electrical Engineering and Computer Science from GIST in August 2021. In 2020, he joined the Machine Learning and Vision Laboratory, supervised by Prof. Moongu Jeon. His current research interests include artificial intelligence, machine learning, and computer vision.
Google Scholar / 👨💻 GitHub / 📨 yechankim@gm.gist.ac.kr / 📞 +82-62-715-3254 (KOR/Office) / Seminar
News
April 2022: Y. Kim has been invited to IEEE Transactions on Medical Imaging (JCR20 Top 4%) as reviewer.
February 2022: Two papers accepted to IEEE ICRA 2022.
November 2021: One paper accepted to Elsevier Pattern Recognition Letters.
Selected Papers (Int'l)
Y. Lee, Y. Ko, Y. Kim, and M. Jeon, "Perception-friendly video enhancement for autonomous driving under adverse weather conditions," IEEE International Conference on Robotics and Automation (ICRA), 2022
Y. Lee, Y. Kim, J. Yu, and M. Jeon, "Learning to remove bad weather: towards robust visual perception for self-driving," IEEE Robotics and Automation Letters (RA-L) with the ICRA 2022 Presentation, Early Access, February 2022.
Y. Kim, Y. Lee, and M. Jeon, "Imbalanced image classification with complement cross entropy," Elsevier Pattern Recognition Letters, vol. 151, pp. 33-40, November 2021.
Y. Lee, H. Yoo, Y. Kim, J. Jeong, and M. Jeon, "Self-supervised attribute-aware refinement network for low-quality text recognition," European Conference on Computer Vision Workshop (ECCV-W), 2020.
Patents
Y. Kim, M. Han, Y. Yoon, and M. Jeon, "System, method, and program for identifying tourist movement patterns and recommending tourist courses based on public transportation big data," KOR, Filling date: 28 February 2022, Filling No.: 10-2022-0025940
Y. Yoon, Y. Kim, and M. Jeon, "Apparatus and method for recognizing gait using noise reduction network," KOR, Filling date: 31 August 2021, Filling No.: 10-2021-0115818
Y. Kim, Y. Lee, and M. Jeon, "A method for learning from imbalanced data using complement cross entropy," KOR, Filling date: 30 August 2021, Filling No.: 10-2021-0114804
Awards
One best conference paper award of Korea Computer Congress from Korea Institute of Information and Science, 2023.
One best transaction paper award from Korea Institute of Information and Science, 2021.
Four outstanding conference paper awards of Korea Computer Congress from Korea Institute of Information and Science, 2020-2023.
Recognition award (summa cum laude in Jeju Nat'l Univ) from Jeju Special Self-governing Provincial Council, Republic of Korea, 2020.
Two awards for outstanding performance in 11th and 12th TOPCIT (Test of Practical Competency in ICT) from MSIT (Ministry of Science and Technology), Republic of Korea, 2019.
Academic scholarships funded by EK (2017), The Scholarship Foundation of Future Leaders* (2017-2019), Honorary Doctor Chu-wol Ko (2018), Kakao* (2018-2019), KEPCO* (Korea Electric Power Corporation, 2021), and GIST (2020-Current).
Research scholarships by GIST, School of Electrical Engineering and Computer Science (2022)
Reviewer Activities
Reviewer, IEEE Transactions on Medical Imaging (April 2022-)
Guest Reviewer, IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) Workshop, 2021
Teaching Experience
Instructor, Software Engineering, Fall Semester 2019, College of Education, Jeju Nat'l Univ. (Crs-code: 280208) (with Prof. Chan-jung Park)
Instructor, Object-oriented Programming, Spring Semester 2019, College of Education, Jeju Nat'l Univ. (Crs-code: 280208) (with Prof. Seong-baeg Kim)
Instructor, Coding Class with Kakao - Fundamentals of Python, August 2018 (with co-lecturers, Jun Seong Moon and Hyunju Lee)
Teaching Assistant, Coding Class with Jeju Special Self-governing Provincial Office of Education - Programming with C, From April to October 2017
Workshop Experience
1-5 August 2022, "FODSI Sublinear Algorithms Workshop", MIT (Massachusetts Institute of Technology), Cambridge, MA., USA
Working Experience
1 September 2022 - 31 August 2025, Technical Research Personnel (Alternative Military Service), GIST
Invited Talks
"Towards Resolution-agnostic Visual Recognition in Modern Deep Neural Networks," DeepView Seminar, ETRI, Korea, Sep. 23, 2022.
"Rethinking Softmax Cross Entropy for Imbalanced Image Classification," DeepView Seminar, ETRI, Korea, Nov. 5, 2021.