Seokho Ahn

Orcid: 0000-0002-5715-4057

According to our database1, Seokho Ahn authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025
Sensor Calibration Model Balancing Accuracy, Real-time, and Efficiency.
CoRR, November, 2025

Stochastic Deep Graph Clustering for Practical Group Formation.
CoRR, November, 2025

Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

UKTA: Unified Korean Text Analyzer.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life.
IEEE Internet Things J., June, 2024

Morpheme-based Korean text cohesion analyzer.
SoftwareX, 2024

RecKG: Knowledge Graph for Recommender Systems.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Practical Implementation of Upgraded Low-Cost Sensors in Everyday Home Devices.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023
Relation Modeling on Knowledge Graph for Interoperability in Recommender Systems.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023


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