Hi Kuen Yu

Orcid: 0009-0009-8451-188X

According to our database1, Hi Kuen Yu authored at least 11 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser.
Autom. Softw. Eng., June, 2026

LogMeta: A few-shot model-agnostic meta-learning framework for robust and adaptive log anomaly detection.
J. Syst. Softw., 2026

Industrial log analysis revisited: A task-oriented evaluation of parsing and anomaly detection under real-world constraints.
Inf. Softw. Technol., 2026

Exploring AI-driven learning assistance in Chinese higher education: A multidisciplinary and regional analysis of professional coursework.
Internet High. Educ., 2026

2025
Boon or Bane? Evaluating AI-driven learning assistance in higher education professional coursework.
Educ. Inf. Technol., October, 2025

SemiRALD: A semi-supervised hybrid language model for robust Anomalous Log Detection.
Inf. Softw. Technol., 2025

StuLAC: An Adaptive LLM-Driven Framework for Scalable Student Feedback Analysis in Software-Driven Educational Systems.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Beyond Log Parsers: A Scalable AI-Driven Framework for Efficient Log Anomaly Detection in Software Engineering.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Towards Lightweight LLM Software Solutions for InsurTech: A Framework for Scalable Question Answering Systems.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

Understanding Industrial Log Analysis: A Multi-Dataset Evaluation of Parsing and Anomaly Detection.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024
Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024


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