Ph.D. student
Department of Artificial Intelligence
Topic: Recommender systems
Email: jaewan7599 [at] g.skku.edu
I am a graduate student (Ph.D.) at the Department of Artificial Intelligence, Sungkyunkwan University (SKKU), Korea. I’m interested in recommender systems and machine learning. I received my B.S. and M.S. degrees in software and artificial intelligence at SKKU, Korea, in 2021 and 2022, respectively.
"Stand on the shoulders of a giant and look at the wider world." - Isaac Newton
It's Enough: Relaxing Diagonal Constraints in Linear AutoEncoders for Recommendation [link] [code]
Jaewan Moon, Hye-young Kim, Jongwuk Lee
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Taipei, Taiwan, July 23-27, 2023 (Acceptance Rate: 20.1%, 165/822)
CoMix: Collaborative filtering with mixup for implicit datasets [link]
Jaewan Moon, Yoonki Jeong, Dong-Kyu Chae, Jaeho Choi, Hyunjung Shim, Jongwuk Lee
Information Sciences, May 2023
지식 추적 모델의 성능 개선을 위한 양자화된 정답률 임베딩 방법 [link]
임윤진, 문재완, 최은성, 이종욱
정보과학회논문지 (Journal of KIISE) Vol.50 No.4 [2023]: 329-336, April 2023
지식 추적 모델의 정확도 개선을 위한 양자화된 정답률 임베딩 방법 (우수논문상) [link]
임윤진, 문재완, 최은성, 이종욱
한국정보과학회 학술발표논문집 Vol.2022 No.06 [2022]: 1172-1174, Jun 2022
임베딩 드롭아웃을 활용한 세션 기반 신경망 추천 모델의 성능 개선 [link]
문재완, 최민진, 이종욱
한국정보과학회 학술발표논문집 Vol.2020 No.7 [2020]: 76-78, Jul 2020