David Yoon Suk Kang
Orcid: 0000-0002-5892-2265Affiliations:
- Chungbuk National University, Cheonju, Korea
- University of Michigan, School of Information, MI, USA (2022-2024)
- Hanyang University, Department of Computer and Software, Seoul, Korea (PhD 2022)
According to our database1,
David Yoon Suk Kang authored at least 14 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems.
CoRR, March, 2026
Image Vis. Comput., 2026
Revisiting Clique and Star Expansions in Hypergraph Representation Learning: Observations, Problems, and Solutions.
IEEE Access, 2026
Improving the Accuracy of Community Detection on Signed Networks via Community Refinement and Contrastive Learning.
Proceedings of the ACM Web Conference 2026, 2026
2024
ACM Trans. Knowl. Discov. Data, November, 2024
Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss.
Proceedings of the ACM on Web Conference 2024, 2024
2023
A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning.
IEEE Trans. Knowl. Data Eng., November, 2023
2022
Community reinforcement: An effective and efficient preprocessing method for accurate community detection.
Knowl. Based Syst., 2022
2021
${\sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD.
IEEE Trans. Computers, 2021
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
A methodology for estimating execution times of IO traces in SSDs: student research abstract.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016