I obtained Bachelor's degrees in Computer Science and Mathematical Science from Korea Advanced Institute of Science and Technology (KAIST). I am currently a MS student at KAIST, advised by Jaegul Choo. My research interests lie in the areas of machine learning and computer vision. Especially, my recent studies focus on time series forecasting and image generation with minimal supervision. I enjoy studying interesting algorithms and mathematical theories, and my research interests are often motivated by them.
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting Youngin Cho*, Daejin Kim*, Dongmin Kim, Mohammad Azam Khan, and Jaegul Choo accpeted at NeurIPS 2022 [Paper] [Code] [Review (KOR)]
Mining Multi-Label Samples from Single Positive Labels Youngin Cho*, Daejin Kim*, Mohammad Azam Khan, and Jaegul Choo accpeted at NeurIPS 2022 [Paper] [Code] [Review (KOR)]
Residual Correction in Real-Time Traffic Forecasting Daejin Kim*, Youngin Cho*, Dongmin Kim, Cheonbok Park, and Jaegul Choo accpeted at CIKM 2022 [Paper]
NeurIPS 2022 Scholar Award Oct. 8, 2022 Advanced to ICPC World Finals Moscow Invitational Contest Sep. 30, 2021 2019 ACM-ICPC Seoul regional 3rd place Nov. 9, 2019 2018 ACM-ICPC Jakarta regional silver Nov. 12, 2018 2018 ACM-ICPC Seoul regional 5th place Nov. 3, 2018 2018 ACM-ICPC KAIST competition gold Oct. 6, 2018 2018 KAKAO code festival 4th place Aug. 25, 2018 2018 Samsung Collegiate Programming Cup (SCPC) 5th place Jul. 31, 2018 2017 ACM-ICPC Daejeon regional 5th place Nov. 11, 2017 2017 KAKAO code festival 5th place Sep. 9, 2017
Kakao Corp. Dec. 2018 - Feb. 2019
Recommendation Team, as internship
- Piccoma webtoon recommendation system
- Designed and implemented collaborative/content-based filtering, contextual bandit algorithms
- Related Skills: Python, Tensorflow, MongoDB, RocksDB, Elasticsearch, Apache Kafka
Supported KAIST undergraduates learning in the Programming course 2018 Taught Incheon Science High School students as a Korea Olympiad in Informatics (KOI) lecturer 2018