Papers

Type:
Scope:
In Progress
Under Review
Total 29 of 30 papers
‡ Equal Contribution* Corresponding Author
Name: GLI Lab (Click for detailed profile)

Under Review

2026

2025

  • Relation-Faceted Graph Pooling with LLM Guidance for Dynamic Span-Aware Information Extraction
    Hye-Yoon Baek, Jinho Choi, Jimyeung Seo, Xiongnan Jin, Dongcheon Lee, Byungkook Oh*
    To Appear in ACM International Conference on Information and Knowledge Management (CIKM), 2025 — Full Research Paper (Acceptance Rate: 27.2% = 443/1,627)
  • HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
    Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li*
    AAAI Conference on Artificial Intelligence (AAAI), 2025 — Main Track (Acceptance Rate: 23.4% = 3,032/12,957)
    LinkCode
  • A survey on knowledge graph evolution proliferation, dynamic embedding, and versioning
    Xiongnan Jin, Zhilin Wang, Manni Duan, Yan Shao, Xingyun Hong, Yongheng Wang*, Byungkook Oh
    International Journal of Web and Grid Services (IJWGS), 2025
    Link
  • Knowledge-constrained Interest-aware Multi-behavior Recommendation with Behavior Pattern Identification
    Gayeon Park, Hyeongjun Yang, Kyuhwan Yeom, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee*
    Information Sciences, 2025
    Link

2024

  • Granular Intents Learning via Mutual Information Maximization for Knowledge-aware Recommendation
    Hyeongjun Yang, Yerim Lee, Gayeon Park, TaeYoung Kim, Heesun Kim, Kyong-Ho Lee*, Byungkook Oh
    Knowledge-Based Systems, 2024
    Link
  • Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity
    Kyuhwan Yeom, Hyeongjun Yang, Gayeon Park, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee*
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 — Research Track (Acceptance Rate: 20.1% = 411/2,046)
    Link

2023

  • Cross-modal contrastive learning for aspect-based recommendation
    Heesoo Won, Byungkook Oh, Hyeongjun Yang, Kyong-Ho Lee*
    Information Fusion, 2023
    Link
  • Dual-Oriented Contrast for Recommendation with A Stop-Gradient Operation
    Byungkook Oh*, Yul Kim, Bumky Min
    ACM International Conference on Information and Knowledge Management (CIKM), 2023 — Full Research Paper (Acceptance Rate: 24.0% = 354/1,472)
    Link
  • Active learning for cross-sentence n-ary relation extraction
    Seungmin Seo, Byungkook Oh, Jeongbeom Jeoung, Donghyun Kim, Kyong-Ho Lee*, Dong-Hoon Shin, Yeonsoo Lee
    Information Sciences, 2023
    Link
  • Pre-training local and non-local geographical influences with contrastive learning
    Byungkook Oh*, Ilhyun Suh, Kihoon Cha, Junbeom Kim, Goeon Park, Sihyun Jeong
    Knowledge-Based Systems, 2023
    Link

2022

  • Active Learning for Knowledge Graph Schema Expansion
    Seungmin Seo, Byungkook Oh, Eunju Jo, Sanghak Lee, Dongho Lee, Kyong-Ho Lee*
    IEEE Transactions on Knowledge and Data Engineering, 2022
    Link
  • Open-world knowledge graph completion for unseen entities and relations via attentive feature aggregation
    Byungkook Oh, Seungmin Seo, Jimin Hwang, Dongho Lee, Kyong-Ho Lee*
    Information Sciences, 2022
    Link

2021

  • DynaPosGNN: Dynamic-Positional GNN for Next POI Recommendation
    Junbeom Kim‡, Sihyun Jeong‡, Goeon Park‡, Kihoon Cha, Ilhyun Suh, Byungkook Oh
    IEEE International Conference on Data Mining Workshops (ICDM Workshops), 2021 — Workshop Paper (Acceptance Rate: 50%)
    Link
  • Multi-task learning for spatial events prediction from social data
    Sungkwang Eom, Byungkook Oh, Sangjin Shin, Kyong-Ho Lee*
    Information Sciences, 2021
    Link
  • Inductive Gaussian representation of user-specific information for personalized stress-level prediction
    Byungkook Oh, Jimin Hwang, Seungmin Seo, Sejin Chun, Kyong-Ho Lee*
    Expert Systems with Applications, 2021
    Link

2020

  • News Recommendation with Topic-Enriched Knowledge Graphs
    Dongho Lee, Byungkook Oh, Seungmin Seo, Kyong-Ho Lee*
    ACM International Conference on Information and Knowledge Management (CIKM), 2020 — Full Research Paper (Acceptance Rate: 21.0% = 193/920)
    Link
  • Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation
    Sanghak Lee, Seungmin Seo, Byungkook Oh, Kyong-Ho Lee*, Donghoon Shin, Yeonsoo Lee
    ACM International Conference on Information and Knowledge Management (CIKM), 2020 — Full Research Paper (Acceptance Rate: 21.0% = 193/920)
    Link
  • Reliable Knowledge Graph Path Representation Learning
    Seungmin Seo, Byungkook Oh, Kyong-Ho Lee*
    IEEE Access, 2020
    Link

2019

  • Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations
    Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee*, Liang Chen
    ACM International Conference on Information and Knowledge Management (CIKM), 2019 — Full Research Paper (Acceptance Rate: 19.6% = 202/1,031)
    Link
  • Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information
    Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee*
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 — Long Paper (Acceptance Rate: 25.6% = 465/1,813; Oral: 9.0% = 164/1,813)
    LinkOral Presentation
  • Reliable TF-based recommender system for capturing complex correlations among contexts
    Byungkook Oh, Sangjin Shin, Sungkwang Eom, Jooik Jung, Minjae Song, Seungmin Seo, Kyong-Ho Lee*
    Journal of Intelligent Information Systems, 2019
    Link

2018

  • Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods
    Byungkook Oh, Seungmin Seo, Kyong-Ho Lee*
    ACM International Conference on Information and Knowledge Management (CIKM), 2018 — Full Research Paper (Acceptance Rate: 17.8% = 147/826)
    Link

2016

  • Outlier-robust web service selection based on a probabilistic QoS model
    Minjung Kim, Byungkook Oh, Jooik Jung, Kyong-Ho Lee*
    International Journal of Web and Grid Services, 2016
    Link

2015

  • SDPA: Sensor Data Processing Architecture for Modeling Semantic Data from Sensor Steams
    Seungmin Seo, Sejin Chun, Byungkook Oh, Kyong-Ho Lee*
    IEEE International Conference on Information Reuse and Integration (IRI), 2015
    Link
  • Semantic description, discovery and integration for the Internet of Things
    Sejin Chun, Seungmin Seo, Byungkook Oh, Kyong-Ho Lee*
    IEEE International Conference on Semantic Computing (ICSC), 2015 — Acceptance Rate: 25.6%
    Link