(2012.12 – 2014.08) The Pensylvania State University, College of Information Sciences and Technology, 박사 후 연구원
(2012.03 – 2012.11) 포항공과대학교 컴퓨터공학과 박사 후 연구원
학술지 논문
(2024)
SASRec vs. BERT4Rec: 트랜스포머 기반 순차적 추천 모델의 성능 분석.
정보과학회논문지.
51,
4
(2024)
사전 학습된 언어 모델 기반 통합 추천 모델의 문제점 분석 및 개선 방안 제시.
정보과학회 컴퓨팅의 실제 논문지.
30,
2
(2023)
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE.
45,
10
(2023)
Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks.
INFORMATION SCIENCES.
634,
(2023)
CoMix: Collaborative filtering with mixup for implicit datasets.
INFORMATION SCIENCES.
628,
(2022)
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation.
KNOWLEDGE AND INFORMATION SYSTEMS.
64,
5
(2021)
Distilling from professors: Enhancing the knowledge distillation of teachers.
INFORMATION SCIENCES.
576,
1
수상/공훈
(2023) Best Teaching Award, SKKU
(2023) 2등, AI Grand Challenge, 정책지원 AI 2단계, 정보통신기획평가원
(2022) 1등, AI Grand Challenge, 서술형 수학문제 풀이, 정보통신기획평가원
(2021) 젊은 과학자상, 한국정보과학회
(2018) 2nd Place, ACM RecSys Challenge
(2013) Postdoctoral Fellowship, 한국연구재단
(2012) 박사 최우수논문상, 포항공과대학교
(2011) 은상, 18회 휴먼테크논문대상, 삼성전자
(2010) 은상, 17회 휴먼테크논문대상, 삼성전자
(2009) Research Fellowship, Microsoft Research Asia
학술회의논문
(2024)
거대언어모델 기반 추천 모델 성능 개선을 위한 항목의 통합 표현 방법.
한국소프트웨어종합학술대회.
대한민국
(2024)
질의 관련 셀 선택 및 요약 생성을 통한 표 재순위화.
한국소프트웨어종합학술대회.
대한민국
(2024)
힌트 벡터 유사도를 활용한 거대 언어 모델 기반 자연어-SQL 변환.
한국소프트웨어종합학술대회.
대한민국
(2024)
From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression.
Empirical Methods in Natural Language Processing.
미국
(2024)
MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation.
ACM Conference on Information and Knowledge Management.
미국
(2024)
Multi-intent-aware Session-based Recommendation.
ACM SIGIR Conference on Information Retrieval.
미국
(2024)
Multi-Granularity Guided Fusion-in-Decoder.
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
멕시코
(2023)
GLEN: Generative Retrieval via Lexical Index Learning.
Empirical Methods in Natural Language Processing.
싱가포르
(2023)
It Ain’t Over: A Multi-aspect Diverse MathWord Problem Dataset.
Empirical Methods in Natural Language Processing.
싱가포르
(2023)
Forgetting-aware Linear Bias for Attentive Knowledge Tracing.
ACM Conference on Information and Knowledge Management.
영국
(2023)
Toward a Better Understanding of Loss Functions for Collaborative Filtering.
ACM Conference on Information and Knowledge Management.
영국
(2023)
ConQueR: Contextualized Query Reduction using Search Logs.
ACM SIGIR Conference on Information Retrieval.
중국
(2023)
It’s Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation.
ACM SIGIR Conference on Information Retrieval.
중국
(2023)
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
ACM SIGIR Conference on Information Retrieval.
중국
(2022)
Long-tail Mixup for Extreme Multi-label Classification.
ACM Conference on Information and Knowledge Management.
미국
(2022)
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval.
ACM Conference on Information and Knowledge Management.
미국
(2022)
Logit Mixing Training for More Reliable and Accurate Prediction.
International Joint Conference on Artificial Intelligence.
미국
(2022)
Bilateral Self-unbiased Learning from Biased Implicit Feedback.
ACM SIGIR Conference on Information Retrieval.
대한민국
(2022)
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks.
ACM International Conference on Web Search and Data Mining.
미국
(2021)
Dual Unbiased Recommender Learning for Implicit Feedback.
ACM SIGIR Conference on Information Retrieval.
미국
발전기금
