Minjin Choi (최민진)
Staff Engineer / Samsung Research
Email: min_jin.choi [at] samsung.com
Minjin Choi (최민진)
Staff Engineer / Samsung Research
Email: min_jin.choi [at] samsung.com
I received my Ph.D. from the Department of Computer Science at Sungkyunkwan University (SKKU), advised by Professor Jongwuk Lee.
My research interests broadly lie in data mining and machine learning in real-world applications, especially in Information Retrieval, Recommendation Systems, and Natural Language Processing.
"Many of life's failures are people who did not realize how close they were to success when they gave up." - Thomas Edison
Staff Engineer
Samsung Research
Apr. 2025 - Current
Ph.D., Computer Science and Engineering,
Sungkyunkwan University (SKKU), Republic of Korea
Advisor: Prof. Jongwuk Lee
Mar. 2019 - Feb.2025
B.S., Computer Science and Engineering,
Sungkyunkwan University (SKKU), Republic of Korea
Mar. 2015 - Feb. 2019
GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion [link] [code]
Sunkyung Lee, Minjin Choi, Eunseong Choi, Hye-young Kim, Jongwuk Lee
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL)
Vienna, Austria, July 27–Aug 1, 2025
Linear Item-Item Models with Neural Knowledge for Session-based Recommendation [link] [code]
Minjin Choi, Sunkyung Lee, Seongmin Park, 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 [link] [code]
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)
Temporal Linear Item-Item Model for Sequential Recommendation [link] [code]
Seongmin Park*, Mincheol Yoon*, Minjin Choi, Jongwuk Lee (* : equal contribution)
The 18th ACM International Conference on Web Search and Data Mining (WSDM)
Hannover, Germany, March 10-14, 2025 (Acceptance Rate: 17.3%, 106/614)
From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression [link] [code] [poster] [slide]
Eunseong Choi, Sunkyung Lee, Minjin Choi, Jun Park, Jongwuk Lee
Findings of the Association for Computational Linguistics: EMNLP 2024
Miami, Florida, USA, November 12-16, 2024 (Acceptance Rate: 37.7%, 2300/6105)
MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation [link] [code] [poster]
Hyunsoo Kim*, Junyoung Kim*, Minjin Choi, Sunkyung Lee, Jongwuk Lee (* : equal contribution)
The 33rd ACM International Conference on Information and Knowledge Management (CIKM, short paper)
Boise, Idaho, USA, October 21-25, 2024 (Acceptance Rate: 26.8%, 141/527)
Multi-intent-aware Session-based Recommendation [link] [code] [poster]
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)
GLEN: Generative Retrieval via Lexical Index Learning [link] [code] [poster] [slide]
Sunkyung Lee*, Minjin Choi*, Jongwuk Lee (* : equal contribution)
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Singapore, December 6-10, 2023 (Acceptance Rate (main): 23.3%, 901/3868)
ConQueR: Contextualized Query Reduction using Search Logs [link] [code] [poster]
Hye-young Kim*, Minjin Choi*, Sunkyung Lee, Eunseong Choi, Young-In Song, 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)
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval [link] [code]
Eunseong Choi*, Sunkyung Lee*, Minjin Choi, Hyeseon Ko, Young-In Song, Jongwuk Lee (* : equal contribution)
The 31st ACM International Conference on Information and Knowledge Management (CIKM)
Atlanta, Georgia, USA, October 17-21, 2022 (Acceptance Rate: 23.3%, 274/1175)
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks [link] [code] [slide] [video][poster]
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
15th ACM International Conference on Web Search and Data Mining (WSDM)
Phoenix, Arizona, February 21-25, 2022 (Acceptance Rate: 20.2%, 159/786)
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories [link] [code] [slide] [video]
Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Mexico City, Mexico (Virtual Event), June 6–11, 2021 (Acceptance Rate: 26.5%, 477/1797)
Session-aware Linear Item-Item Models for Session-based Recommendation [link] [code] [slide] [video]
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
30th The Web Conference (WWW)
Ljubljana, Slovenia (Virtual Event), April 19-23, 2021 (Acceptance Rate: 20.6%, 357/1736)
Local Collaborative Autoencoders [link] [code] [slide] [video][poster]
Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee
14th ACM International Conference on Web Search and Data Mining (WSDM)
Jerusalem, Israel (Virtual Event), March 8-12, 2021 (Acceptance Rate: 18.6%, 112/603)
Collaborative Distillation for Top-N Recommendation [link]
Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim
IEEE International Conference on Data Mining (ICDM)
Beijing, China, November 8-11, 2019 (Acceptance Rate: 9.08% , 95/1046)
MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation [link]
Hojin Yang, Yoonki Jeong, Minjin Choi, Jongwuk Lee
The ACM Recommender Systems Conference (RecSys) Challenge, Vancouver, Canada, October 2-7, 2018
Knowledge Distillation Meets Recommendation: Collaborative Distillation for Top-N Recommendation [link]
Jae-woong Lee, Minjin Choi, Lee sael, Hyunjung Shim, Jongwuk Lee
Knowledge and Information Systems, April 20, 2022
힌트 벡터 유사도를 활용한 거대 언어 모델 기반 자연어-SQL 변환 [link]
권동욱, 최민진, 이종욱
한국정보과학회 학술발표논문집 Vol.2024 No.12 [2024]: 274-276, Dec 2024
반복 프롬프팅을 활용한 거대 언어모델 기반 표 질의응답 코드 생성 [link]
박주봉, 이혜리, 최민진, 이종욱
한국정보과학회 학술발표논문집 Vol.2023 No.06 [2023]: 884-886, Jun 2023
세션 기반 추천의 반복 및 비반복 항목 예측에 대한 성능 비교 및 분석 [link]
김혜영, 최민진, 김준영, 이종욱
한국정보과학회 학술발표논문집 Vol.2022 No.06 [2022]: 121-123, 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
비신경망 vs. 신경망 기반 추천 모델: 정확도 및 다양성 비교 및 분석 [link]
서해빈, 최민진, 이종욱
한국정보과학회 학술발표논문집 Vol.2019 No.12 [2019]: 614-616, Dec 2019
추천시스템에서 인지도 편향의 영향력 분석 [link]
김은빈, 최민진, 이종욱
한국정보과학회 학술발표논문집 Vol.2018 No.12 [2018]: 1914-1916, Dec 2018
한글 자연어 처리를 위한 빈도수 기반 음절 임베딩 [link]
정윤기, 최민진, 양호진, 이종욱
한국정보과학회 학술발표논문집 Vol.2018 No.06 [2018]: 604-606, Jun 2018
언어-영상 사전 학습 모델 기반 샘플 선택을 활용한 노이즈 레이블 학습 [link]
차봉건, 최민진, 이종욱
Journal of KIISE, 50(6), 511-520, 10.5626/JOK.2023.50.6.511, Jun 2023
생성적 검색을 위해 딥러닝 모델을 학습시키는 방법 및 기학습된 딥러닝 모델을 이용하여 질의 추론을 수행하는 장치
이선경, 최민진, 이종욱
출원번호 10-2024-0041745, 출원일 2024.03.27
은유 탐지 장치 및 방법 [link]
이종욱, 최민진
출원번호 10-2021-0109660, 출원일 2021.08.19, 등록번호 10-2574512, 등록일 2023.08.30
추천 리스트 생성 방법 [link]
이종욱, 최민진
출원번호 10-2021-0096734, 출원일 2021.07.22, 등록번호 10-2703648, 등록일 2024.09.02