About Me
I am an Assistant Professor in the School of Computer Science and Engineering at Chung-Ang University (CAU), where I am leading the Machine Intelligence & Data Science (MINDS) Lab.
Prior to joining CAU, I worked as a Postdoctoral Researcher at the Department of Computer Science at University of Illinois at Urbana-Champaign (UIUC) with Prof. Hanghang Tong.
I received my Ph.D. degree in Computer Science from Hanyang University under the supervision of Prof. Sang-Wook Kim.
My research interests mainly lie in data mining and machine learning on various types of data (including but not limited to graph, hypergraph, text, image, and time-series) with a special focus on exploring knowledge for real-world applications.
Positions
- Chung-Ang University (CAU), Seoul, Korea • Mar. 2024 - Present
- Assistant Professor, School of Computer Science and Engineering
- University of Illinois at Urbana-Champaign (UIUC), Urbana, IL, USA • May 2022 - Feb. 2024
- Postdoctoral Researcher, Department of Computer Science(Advisor: Prof. Hanghang Tong)
- Hanyang University, Seoul, Korea • Sep. 2021 - Apr. 2022
- Postdoctoral Researcher, Department of Computer Science (Advisor: Prof. Sang-Wook Kim)
- The Pennsylvania State University (PSU), University Park, PA, USA • Oct. 2019 - Feb. 2020
- Visiting Scholar, College of Information Sciences and Technology (IST) (Advisor: Prof. Dongwon Lee)
Publications (* indicates equal contributions)
Preprints
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Beyond Overall Accuracy: A Comprehensive Evaluation of 3D Occupancy Prediction Models for Autonomous Driving Perception
Hyungki Kim, Yunyong Ko, and Sang-Wook Kim
arXiv: TBD
Paper
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Tri-Perspective Learning for Multivariate Time Series Anomaly Detection
Gyuwon Lee, SaeJoon Park, Won-Seok Hwang, Bogoan Kim, and Yunyong Ko
arXiv: TBD
Paper
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Heterophily-Aware Adaptive Knowledge Distillation for Hypergraph Neural Networks
Joohee Cho, David Yoon suk Kang, and Yunyong Ko
arXiv: 2606.08978
Paper
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Generalized Rank-based Evaluation for Knowledge Graph Completion: Perspectives, Framework, and Analyses
Sooho Moon, Jian Kang, and Yunyong Ko
arXiv: 2606.08921
Paper / Code
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PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models
Sooho Moon and Yunyong Ko
CIKM 2026 (Demo Paper) | ACM International Conference on Information and Knowledge Management
Paper / Code
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How Sharp and Bias-Robust is a Model? Dual Evaluation Perspectives on Knowledge Graph Completion
Sooho Moon and Yunyong Ko
WSDM 2026 (Short Paper) | ACM International Conference on Web Search and Data Mining
Paper / Code
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Accelerating Storage-Based Training for Graph Neural Networks
Myung-Hwan Jang, Jeong-Ming Park, Yunyong Ko, and Sang-Wook Kim
KDD 2026 | ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Paper / Code
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Is This News Still Interesting to You? Lifetime-Aware Interest Matching for News Recommendation
Seongeun Ryu, Yunyong Ko, and Sang-Wook Kim
CIKM 2025 | ACM International Conference on Information and Knowledge Management
Paper / Code
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Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks
Yunyong Ko, Da Eun Lee, Song Kyung Yu, and Sang-Wook Kim
CIKM 2025 (Short Paper) | ACM International Conference on Information and Knowledge Management
Paper / Code
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CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation
Yunyong Ko, Seongeun Ryu, and Sang-Wook Kim
WWW 2025 | ACM Web Conference
Selected as an Oral Presentation of WWW 2025
Paper / Code
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HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction
Song Kyung Yu, Da Eun Lee, Yunyong Ko, and Sang-Wook Kim
WWW 2025 (Short Paper) | ACM Web Conference
Paper / Code
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Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
Yunyong Ko, Hanghang Tong, and Sang-Wook Kim
TKDE | IEEE Transactions on Knowledge and Data Engineering (SCIE, 2025)
Paper / Code
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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 | ACM Conference on Computer-Supported Cooperative Work and Social Computing
Paper -
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
{Myung-Hwan Jang*, Yunyong Ko*}, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, and Sang-Wook Kim
CIKM 2023 | ACM International Conference on Information and Knowledge Management
Paper -
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 | ACM Web Conference
Paper / Code -
RealGraphGPU: 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 Paper) | ACM International Conference on Information and Knowledge Management
Paper -
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 | ACM Web Conference
Paper / Code -
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 | ACM Symposium on Applied Computing
Paper -
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems
{Yunyong Ko*, Jae-Su Yu*}, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, and Sang-Wook Kim
ICDM 2021 | IEEE International Conference on Data Mining
Selected as One of the Best-ranked Papers of ICDM 2021 for fast-track journal invitation
Paper / Code -
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning
Yunyong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, and Sang-Wook Kim
CIKM 2021| ACM International Conference on Information and Knowledge Management
Selected as a Spotlight Presentation of CIKM 2021
Paper / Appendix -
An In-Depth Analysis on Distributed Training of Deep Neural Networks
Yunyong Ko, Kibong Choi, Jiwon Seo, and Sang-Wook Kim
IPDPS 2021 | IEEE International Parallel and Distributed Processing Symposium
Paper
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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 | ACM Symposium on Applied Computing
Paper -
Efficient and Effective Influence Maximization in Social Networks: A Hybrid-Approach
Yunyong Ko, Kyung-Jae Cho, and Sang-Wook Kim
Information Sciences (SCIE, 2018)
Paper
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Influence Maximization in Social Networks: A Target-Oriented Estimation
Yunyong Ko, Dong-Kyu Chae, and Sang-Wook Kim
Journal of Information Science (SCIE, 2018)
Paper
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Accurate Path-Based Influence Maximization in Social Networks
Yunyong Ko, Dong-Kyu Chae, and Sang-Wook Kim
WWW 2016 (Short Paper) | ACM Web Conference
Paper
Honors & Awards
- Scholarship and Teaching for Engineering Postdocs (STEP)
Grainger College of Engineering (GCOE), University of Illinois at Urbana-Champaign• 2023 - Best Ranked Papers of IEEE ICDM
IEEE International Conference on Data Mining• 2021 - Spotlight Presentations of ACM CIKM
ACM International Conference on Information and Knowledge Management• 2021 - Outstanding Ph.D. Dissertation Award
Research Institute of Industrial Science, Hanyang University • 2021 - ACM SIGAPP Student Travel Award
ACM Symposium on Applied Computing • 2019 - Naver Ph.D. Fellowship
Naver Corporation • 2017
Education
- Hanyang University, Seoul, Korea • Aug. 2021
Ph.D in Computer Science (Advisor: Prof. Sang-Wook Kim)
Thesis: Effective Approaches to Distributed Deep Learning: Methods, Analyses, and Evaluation
- Hanyang University, Seoul, Korea • Aug. 2013
B.S in Computer Science
Teaching
- Graduate School
CAU Data Mining (48768)• Spring 2025 - Undergraduate School
CAU Capstone Design (56120)• Spring, Fall 2025
CAU Database (34692)• Fall 2024-2025
CAU Algorithm (13601)• Spring 2024-2025
CAU Artificial Intelligence (17182)• Fall 2024
CAU Data Structure (40989)• Spring 2024
Professional Services
- Track Co-Chair
ACM Symposium on Applied Computing (SAC)• 2023 - 2026 - Program Committee Member (or Conference Reviewer)
ACM International Conference on Information and Knowledge Management (CIKM)• 2025, 2026
ACM Web Conference (WWW) • 2023 - 2025
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) • 2021, 2022, 2024 - 2027
IEEE International Conference on Data Mining (ICDM) • 2022, 2023
AAAI International Conference on Artificial Intelligence (AAAI) • 2021, 2026
ACM Symposium on Applied Computing (SAC) • 2022 - 2026
International Conference on Database Systems for Advanced Applications (DASFAA) • 2026
- Track Co-Chair
Frontiers in Big Data (Data Science Section), Speciall Issue: Graph-based Retrieval-Augmented Generation Systems • 2025 - Journal Reviewer
ACM Computing Surverys (CSUR) • 2024, 2026
ACM Transactions on Knowledge Discovery from Data (TKDD) • 2025, 2026
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) • 2026
IEEE Transactions on Knowledge and Data Engineering (TKDE) • 2026
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) • 2023, 2025
IEEE Transactions on Network Science and Engineering (TNSE) • 2024
Knowledge and Information Systems (KAIS) • 2025
Neurocomputing • 2026
Journal of Supercomputing • 2023