International Conference & Journal Papers

• [C13] CROWN: A Novel Approach to Comprehending  Users' Preferences for Accurate Personalized News Recommendation
  Yunyong Ko, Seongeun Ryu, and Sang-Wook Kim
  WWW 2025: The ACM Web Conference [BKCSA 4]
  Selected as an Oral Presentation of WWW 2025

• [C12] HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction
  Song Kyung Yu, Da Eun Lee, Yunyong Ko, and Sang-Wook Kim
  WWW 2025 (Short): The ACM Web Conference [BKCSA 4]

• [J3] Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
  Yunyong Ko, Hanghang Tong, and Sang-Wook Kim
  TKDE: The IEEE Transactions on Knowledge and Data Engineering, SCIE Journal, 2025 [Q1: IF Top 1.8%]

• [C11] HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
  Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yunyong Ko, Seongeun Ryu, Sang-Wook Kim, and Kyungsik Han
  CSCW 2024: The ACM Conference on Computer-Supported Cooperative Work and Social Computing [BKCSA 3]

• [C10] SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
  {Myung-Hwan Jang*, Yunyong Ko*}, Hyuck-Moo Gwon, Ik-Hyeon Jo, Yongjun Park, and Sang-Wook Kim
  CIKM 2023: The ACM International Conference on Information and Knowledge Management [BKCSA 3]

• [C9] KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
  Yunyong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong and Sang-Wook Kim
  WWW 2023: The ACM Web Conference [BKCSA 4]

• [C8] RealGraph+GPU: A High-Performance GPU-Based Graph Engine Toward Large-Scale Real-World Network Analysis
  Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim
  CIKM 2022 (Short): The ACM International Conference on Information and Knowledge Management [BKCSA 3]

• [C7] Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training
  Yunyong Ko, Dongwon Lee, and Sang-Wook Kim
  WWW 2022: The ACM Web Conference [BKCSA 4]

• [C6] D-FEND: A Diffusion-Based Fake News Detection Framework for News Articles Related to COVID-19
  Soeun Han, Yunyong Ko, Yusim Kim, Heejin Park, Seongsu Oh, and Sang-Wook Kim
  SAC 2022: The ACM Symposium on Applied Computing [BKCSA 1]

• [C5] MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems
  {Yunyong Ko*, Jae-Seo Yu*}, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, and Sang-Wook Kim
  ICDM 2021: The IEEE International Conference on Data Mining [BKCSA 3]
  Selected as One of the Best-ranked Papers of ICDM 2021 for Fast-track Journal Invitation

• [C4] ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning
  Yunyong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, and Sang-Wook Kim
  CIKM 2021: The ACM International Conference on Information and Knowledge Management [BKCSA 3]
  Selected as a Spotlight Presentation of CIKM 2021

• [C3] An In-Depth Analysis of Distributed Training of Deep Neural Networks
  Yunyong Ko, Kibong Choi, Jiwon Seo, and Sang-Wook Kim
  IPDPS 2021: The IEEE International Parallel and Distributed Processing Symposium [BKCSA 2]

• [C2] Influence Maximization for Effective Advertisement in Social Networks: Problem, Solution, and Evaluation
  Suk-Jin Hong, Yunyong Ko, Moon-Jeung Joe, and Sang-Wook Kim
  SAC 2019: The ACM Symposium on Applied Computing [BKCSA 1]

• [J2] Efficient and Effective Influence Maximization in Social Networks: A Hybrid-Approach
  Yunyong Ko, Kyung-Jae Cho, and Sang-Wook Kim
  Information Sciences: SCIE Journal, 2018 [Q1: IF Top 5%]

• [J1] Influence Maximization in Social Networks: A  Target-Oriented Estimation
  Yunyong Ko, Dong-Kyu Chae, and Sang-Wook Kim
  Journal of Information Science: SCIE Journal, 2018 [Q2]

• [C1] Accurate Path-Based Influence Maximization in Social Networks
  Yunyong Ko, Dong-Kyu Chae, and Sang-Wook Kim
  WWW 2016 (Short): The Web Conference [BKCSA 4]

Domestic Conference & Journal Papers

• [DC16] A Survey on Time-Series Anomaly Detection and Its Evaluation Metrics
  Gyuwon Lee, Saejoon Park, Yunyong Ko*
  KICS Fall Conference 2024 (한국통신학회 추계학술대회)

• [DC15] Graph Neural Network based Personalized News Recommendation for the Cold-Start User Problem
  Yunyong Ko*
  KICS Summer Conference 2024 (한국통신학회 하계학술대회)

• [DC14] Performance Evaluation of Negative Sampling Methods in a Hyperedge Prediction Task
  Da Eun Lee, Song Kyung Yu, Yunyong Ko, and Sang-Wook Kim
  ASK 2024 (한국정보처리학회 춘계학술대회)

• [DC13] Performance Evaluation of Graph and Hypergraph Learning for Real-world Dynamic Networks
  Song Kyung Yu, Da Eun Lee, Yunyong Ko, and Sang-Wook Kim
  ASK 2024 (한국정보처리학회 춘계학술대회)

• [DC12] Performance Evaluation: Knowledge Embedding Methods for Political Stance Prediction
  Seongeun Ryu, Yunyong Ko, and Sang-Wook Kim
  ASK 2023 (한국정보처리학회 춘계학술대회)
  Received the Best Paper Award

• [DJ2] CoAID+: COVID-19 News Cascade Dataset for Social Context Based Fake News Detection
  Soeun Han, Yoonsuk Kang, Yunyong Ko, Jiwon Ahn, Yusim Kim, Seongsu Oh, Heejin Park, and Sang-Wook Kim
  KIPS Transactions on Software and Data Engineering (한국정보처리학회 논문지): KCI Journal, 2022

• [DC11] Precision Switching for Efficient Matrix Factorization in Recommender Systems
  Jae-Seo Yu, Yunyong Ko, Hong-Kyun Bae, Seokwon Kang, Yongseung Yu, Yongjun Park, and Sang-Wook Kim
  ASK 2021 (한국정보처리학회 춘계학술대회)

• [DC10] COVID-19 Cascade Dataset for Fake News Detection
  Soeun Han, Yoonsuk Kang, Yunyong Ko, Jiwon Ahn, Yusim Kim, Seongsu Oh, Heejin Park, and Sang-Wook Kim
  ASK 2021 (한국정보처리학회 춘계학술대회)
  Received the Best Paper Award

• [DC9] Parameter Sharding for Synchronous and Asynchronous Distributed Training
  Johyung Jung, Utae Lim, Junhwan Park, Kibong Choi, Yunyong Ko, and Sang-Wook Kim
  KSC 2020 (한국정보과학회 소프트웨어종합학술대회)

• [DC8] Parameter Sharding approaches for DNN Models with a Very Large Layer
  Kibong Choi, Yunyong Ko, and Sang-Wook Kim
  ASK 2020  (한국정보처리학회 춘계학술대회)

• [DC7] Performance Evaluation: Parameter sharding for Distributed Deep Learning
  Kibong Choi, Yunyong Ko, Hyungseung Jei, Hongchan Noh, and Sang-Wook Kim
  KCC 2019 (한국정보과학회 컴퓨터종합학술대회)

• [DC6] Inter-Node Communications Methods for Distributed Deep Learning
  Kibong Choi, Yunyong Ko, and Sang-Wook Kim
  KCC 2018 (한국정보과학회 컴퓨터종합학술대회)

• [DC5] A Diffusion Model for Influence Maximization in Selecting Advertisement Agent
  Suk-Jin Hong, Yunyong Ko, Sang-Wook Kim, and Gyehwan Park
  CSMS 2018 (한국스마트미디학회 종합학술대회)

• [DC4] Accurate Ad-Effect Estimation Method based on Relevance between User and Item
  Suk-Jin Hong, Yunyong Ko, Sang-Wook Kim, and Gyehwan Park
  KOCON 2018 (한국콘텐츠학회 종합학술대회)

• [DC3] Effective Ad-Effect Maximization Exploiting User’s Support and Share
  Suk-Jin Hong, Yunyong Ko, Sang-Wook Kim, and Gyehwan Park
  ASK 2018 (한국정보처리학회 춘계학술대회)

• [DC2] Accurate Trust Prediction Based on the Uninteresting User Concept
  Jonghyun Kim, Seungwon Yun, Yunyong Ko, Jangwan Koo, and Sang-Wook Kim
  KSC 2017 (한국정보과학회 소프트웨어종합학술대회)

• [DJ1] Fast Influence Maximization in Social Networks
  Yunyong Ko, Kyung-Jae Cho, and Sang-Wook Kim
  Journal of KIISE (한국정보과학회 논문지): KCI Journal, 2017
  Received the Best Paper Award

• [DC1] Efficient CELF Algorithm for Community-based Influence Maximization in Social Networks
  Yunyong Ko, Kyung-Jae Cho, and Sang-Wook Kim
  KCC 2017 (한국정보과학회 컴퓨터종합학술대회)
  Received the Best Presentation Award