International Conference & Journal

  • Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform
    Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Depeng Jin, Yong Li

  • Carpe Diem, Seize the Samples Uncertain “at the Moment” for Adaptive Batch Selection
    Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
    29th ACM International Conference on Information and Knowledge Management (CIKM) 2020, Online. (AR: 193/920 = 21.0%)
    [Link] [PDF] [Video] [Press]

  • Ada-Boundary: Accelerating the DNN Training via Adaptive Boundary Batch Selection
    Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee
    Machine Learning, 2020. (SCI, IF=2.730, ECML-PKDD 2020 Journal track)
    [Link] [Slides] [Video]

  • Neural User Embedding From Browsing Events
    Mingxiao An, Sundong Kim
    The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2020, Online. (Applied Data Science Track, AR: 65/236 = 27.5%)
    [PDF] [Video]

  • Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification
    Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha
    European Conference on Computer Vision (ECCV) 2020, Online. (AR: 1361/5025 = 27.1%)
    [PDF] [Supplementary]

  • DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection
    Sundong Kim*, Yu-Che Tsai*, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha (*: Equal Contribution)
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2020, Online. (Applied Data Science Track, AR: 121/756 = 16.0%)
    [Link] [PDF] [Slides] [Presentation] [Github] [Project] [Promotional video] [WCO News] [Press]

  • Revisit Prediction by Deep Survival Analysis
    Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
    The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2020, Online. (AR: 135/628 = 21.5%)
    [Link] [PDF] [Slides] [Video]

  • A Systematic Framework of Predicting Customer Revisit with In-Store Sensors
    Sundong Kim, Jae-Gil Lee
    Knowledge and Information Systems 62(3), 1005-1035, 2020. (SCIE, IF=2.397)
    [Link] [PDF]

  • Utilizing In-Store Sensors for Revisit Prediction
    Sundong Kim, Jae-Gil Lee
    The IEEE International Conference on Data Mining (ICDM) 2018, Singapore. (AR: 84/948 = 8.9%)
    (Selected as one of the best papers in ICDM 2018)
    [Link] [PDF] [Slides] [Poster] [Video] [Github]

  • Friend Recommendation with a Target User in Social Networking Services
    Sundong Kim
    The IEEE International Conference on Data Engineering (ICDEW) 2015, Seoul, Korea. (Ph.D. Symposium)
    [Link] [PDF] [Slides]

Domestic Conference

  • 거시적 동선 정보에 기반한 고객 재방문 예측
    (Customer Revisit Prediction Using Macroscale Mobility Information)
    Beomyoung Kim, Sundong Kim, Sejin Kim, Jae-Gil Lee
    Korea Software Congress (KSC), 2019. (Poster Presentation)
    [PDF] [Poster] [Technical Report] [Slides]

  • 와이파이 모니터링 기술로 센싱된 고객들의 매장 내부 이동 패턴들을 이용한 재방문 예측
    (Predicting Customer’s Revisit Intention Using Indoor Movements in Stores by Wi-Fi Monitoring)
    Sundong Kim, Jae-Gil Lee
    Korea Software Congress (KSC), 2016. (Poster Presentation)
    [Link] [PDF]

  • 한국어 디비피디아의 자동 스키마 진화를 위한 방법
    (A Method of Automatic Schema Evolution on DBpedia Korea)
    Sundong Kim, Minseo Kang, Jae-Gil Lee
    Spring Conference of the Korea Information Processing Society (KIPS), 2014.
    [PDF] [Slides]

  • 과거 상황 정보의 변동 양상을 활용한 인간의 중단 가능성 예측 모델 연구
    (Exploiting Change Patterns of the Past Context Data on Human Interruptibility Prediction)
    Minsoo Choy, Minseo Kang, Minseok Kim, Sundong Kim
    Korea Computer Congress Winter Conference (KCC), 2017. (Best Paper Award)
    [Link] [PDF]

  • 한글 DBPedia 온톨로지 스키마 구축
    (Building a Schema of the Korean DBpedia Ontology)
    Minseo Kang, Jaesung Kim, Sundong Kim, Jae-Gil Lee
    The 26th Annual Conference on Human and Cognitive Language Technology (HCLT), 2014.

  • 증강된 온톨로지를 위한 시각화 도구
    (Ontology Visualization Tool for Evolved Ontology)
    Minseo Kang, Jaesung Kim, Sundong Kim, Jae-Gil Lee
    Korea Computer Congress (KCC), 2014. (Poster Presentation)
    [Link] [PDF]


  • Customer Revisit Prediction Using In-Store Sensor Data
    (매장 내 센서 데이터를 활용한 고객 재방문 예측)
    Sundong Kim
    Ph.D. dissertation, Industrial & Systems Engineering (Graduate School of Knowledge Service Engineering), KAIST, 2019.
    [PDF] [Slides] [bib]

  • Maximizing Influence over a Target User through Friend Recommendation
    (특정 사용자로의 영향력을 최대화하는 친구 추천 방법)
    Sundong Kim
    Master’s thesis, Industrial & Systems Engineering, KAIST, 2015.
    [PDF] [Slides] [bib]