Ph.D. Student
Department of Artificial Intelligence
Topic: Recommender systems, Machine learning
Email: khyaa3966 [at] g.skku.edu
I am a graduate student (Ph.D. ) at the Department of Artificial Intelligence, Sungkyunkwan University (SKKU), Korea. I received my M.S. degree in Artificial Intelligence at SKKU, Korea, in 2024. Before that, I received my B.S. degree in Statistics and Software at SKKU, Korea in 2022.
"You'll Never Walk Alone." - Gerry and the Pacemakers
Why is Normalization Necessary for Linear Recommenders? [paper] [code]
Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Padua, Italy, July 13-17, 2025 (Acceptance Rate: 21.5%, 238/1105)
DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation
Hye-young Kim, Minjin Choi, Sunkyung Lee, Ilwoong Baek, Jongwuk Lee
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Padua, Italy, July 13-17, 2025 (Acceptance Rate: 21.5%, 238/1105)
Multi-intent-aware Session-based Recommendation [paper] [code]
Minjin Choi, Hye-young Kim, Hyunsouk Cho, Jongwuk Lee
The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short paper)
Washington D.C., USA, July 14-18, 2024 (Acceptance Rate: 24.0%, 84/362)
ConQueR: Contextualized Query Reduction using Search Logs [paper] [code]
Hye-young Kim*, Minjin Choi*, Sunkyung Lee, Eunseong Choi, Young-In Song and Jongwuk Lee (* : equal contribution)
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short paper)
Taipei, Taiwan, July 23-27, 2023 (Acceptance Rate: 25.12%, 154/613)
It's Enough: Relaxing Diagonal Constraints in Linear AutoEncoders for Recommendation [paper] [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)
거대언어모델 기반 추천 모델 성능 개선을 위한 항목의 통합 표현 방법 [paper]
이동철, 김혜영, 이종욱
한국정보과학회 학술발표논문집, Vol.2024 No.12 [2024] ,Dec 2024
SASRec vs. BERT4Rec: 트랜스포머 기반 순차적 추천 모델의 성능 분석 [paper]
김혜영, 윤민철, 이종욱
정보과학회논문지 (Journal of KIISE) Vol.51 No.4 [2024]: 352-361, April 2024
영·유아의 반복 시청 습관을 고려한 순차적 추천 시스템 [paper]
김혜영, 이재웅, 홍서윤, 이종욱
한국정보과학회 학술발표논문집, Vol.2023 No.06 [2023]: 953-955, Jun 2023
세션 기반 추천의 반복 및 비반복 항목 예측에 대한 성능 비교 및 분석 [paper]
김혜영, 최민진, 김준영, 이종욱
한국정보과학회 학술발표논문집 Vol.2022 No.06 [2022]: 121-123, Jun 2022