Jae-woong Lee

I am an assistant professor at the Graduate School of Data Science, Kangwon National University, Korea. Previously, I was a staff engineer at Samsung Electronics. I received my Ph.D. from Sungkyunkwan University under the supervision of Professor Jongwuk Lee. My research primarily focuses on the development of recommender systems for practical applications. I have delved into recommender systems and information retrieval, which has led to the publication of my work in prestigious academic conferences such as SIGIR, CIKM, and ICDM.

Overview of My Research on RecSys and IR

• Contrastive Learning
  CIKM’23 (AI Top Conference)

• Unbiased Learning
  SIGIR’23 (AI Top Conference), SIGIR’22 (AI Top Conference), SIGIR’21 (AI Top Conference), CIKM’20 (AI Top Conference)

• Knowledge Distillation
  KAIS’22, ICDM’19 (AI Top Conference)

• Imputation
  CIKM’17 (AI Top Conference)

Publications

International

• Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee, Toward a Better Understanding of Loss Functions for Collaborative Filtering, The ACM International Conference on Information and Knowledge Management (CIKM), 2023

• Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee, uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering, The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023

• Jae-woong Lee, Minjin Choi, Lee Sael, Hyunjung Shim, Jongwuk Lee, Knowledge Distillation Meets Recommendation: Collaborative Distillation for Top-N Recommendation, Knowledge and Information Systems (KAIS), 2022

• Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee, Bilateral Self-unbiased Learning from Biased Implicit Feedback, The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

• Jae-woong Lee, Seongmin Park, Jongwuk Lee, Dual Unbiased Recommender Learning for Implicit Feedback, The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021

• Jae-woong Lee, Young-In Song, Deokmin Haam, Sanghoon Lee, Woo-sik Choi, Jongwuk Lee, Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision, The ACM International Conference on Information and Knowledge Management (CIKM), 2020

• Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim, Collaborative Distillation for Top-N Recommendation, IEEE International Conference on Data Mining (ICDM), 2019

• Jae-woong Lee, Jongwuk Lee, IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering, The ACM International Conference on Information and Knowledge Management (CIKM), 2017

Domestic

• 신예섭, 이재웅, RAG 기반 투자자 추천 시스템 구현 및 검증, 한국소프트웨어종합학술대회 (KSC), 2025
  Acknowledgements: 지역지능화혁신인재양성사업(IITP-2025-RS-2023-00260267)

• 장우호, 신예섭, 이재웅, 그룹 간 균일성을 고려한 효율적인 대조 표현 학습방법, 한국소프트웨어종합학술대회 (KSC), 2025
  Acknowledgements: 지역지능화혁신인재양성사업(IITP-2025-RS-2023-00260267)

• 이재웅, 박지훈, 신예섭, 유재균, 이인하, 추천 시스템의 대조 표현 학습에서의 효율적인 균일성 방법, 한국정보과학회 한국컴퓨터종합학술대회, 2024
  Acknowledgements: 데이터사이언스 융합인재 양성사업(RS-2023-00242528), 지역지능화혁신인재양성사업(IITP-2024-RS-2023-00260267)

• 이재웅, 박지훈, 신예섭, 유재균, 이인하, 추천 시스템의 대조 표현 학습에서의 효율적인 균일성 방법, 한국정보과학회 한국컴퓨터종합학술대회, 2024
  Acknowledgements: 데이터사이언스 융합인재 양성사업(RS-2023-00242528), 지역지능화혁신인재양성사업(IITP-2024-RS-2023-00260267)

• 김혜영, 이재웅, 홍서윤, 이종욱, 영·유아의 반복 시청 습관을 고려한 순차적 추천 시스템, 한국정보과학회 한국컴퓨터종합학술대회, 2023

• 김진홍, 이재웅, 이종욱, 항목 인기도 편향 관점에서의 잡음제거 오토인코더의 효과, Journal of KIISE, 2021

• 이재웅, 이종욱, 중첩 그룹과 이상치 탐지를 고려한 스펙트럴 군집 알고리즘, Korean DataBase Conference (KDBC), 2017 (우수논문상)

• 이재웅, 이종욱, 상위 N개 항목의 추천 정확도 향상을 위한 효과적인 선호도 표현방법,  Journal of KIISE, 2017 (초청논문)

• 이재웅 이종욱, 상위 N개 항목의 추천 정확도 향상을 위한 효과적인 선호도 표현 방법, Korea Computer Congress (KCC), 2016 (우수논문상)

Work Experiences

• Mar. 2024 – Present   Assistant Professor @ Kangwon National University (Korea) 

• Oct. 2023 – Feb. 2024   Senior Researcher @ Big Data Center, Samsung Electronics (Korea)

• Sep. 2023 – Sep. 2023   Postdoctoral Researcher @ Sungkyunkwan University (Korea)

• Sep. 2019 – Mar. 2020   Visiting Researcher @ College of Information Sciences and Technology, Penn State University (USA)

• Jul. 2019 – Aug. 2019   Research Intern @ Naver Search CIC, Naver Corp. (Korea)

Honors and Awards

• 2025 Alibaba International E-commerce Product Search Competition 9th Place, CIKM'25

• 2025 NRF President Award (한국연구재단이사장상), K-DATA SCIENCE Hackathon

• 2025 Minister of Science and ICT Award (과학기술정보통신부 장관상), 12th Korea SW Convergence Hackathon (Open-topic Track)

• 2022 AI Ground 2nd Place, LG Uplus

• 2022 AI Grand Challenge 1st Place, IITP

• 2022 Student Travel Grants, SIGIR’22/SIGIR

• 2021 AI Grand Challenge 3rd Place, IITP

• 2021 Encouragement Prize, SKKU Student Paper Award’21

• 2017 Student Travel Grants, CIKM’17/SIGIR

• 2017 Best Paper Award, KDBC’17

• 2017 Excellent TA Certificate Program, Data Structures

• 2016 Best Paper Award, KCC’16

• 2015 Excellent Tutor, Problem Solving and Algorithm

Teaching

Winter 2025

• Database (GS)

Fall 2025

• Introduction to Data Science (GS)

• Recent Technology in Data Science (GS)

• Algorithms (UGRD)

Spring 2025

• Introduction to Data Science (GS)

• Python and Machine Learning Basics (GS)

• Data Science (UGRD)

Fall 2024

• Algorithms (UGRD)

• Algorithm Design and Analysis (SDU) (UGRD)

• Data Visualization (GS)

• Recent Technology in Data Science (GS)

Spring 2024

• Introduction to Data Science (GS)

• Data Structures (UGRD)

• Data Science (UGRD)