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Faculty Profile

HUO Yintong's photo

HUO Yintong

Full-time Faculty
Assistant Professor of Computer Science
School of Computing and Information Systems SCIS

Qualification

  • PhD, The Chinese University of Hong Kong, 2024

Teaching Topics

  • Data Structures and Algorithms

Research Advisor/Co-Research Advisor to

 
 
Highlights
39
Publications
17
H-Index (All Time)
1139
Citations (All Time)
Yintong Huo is an Assistant Professor at SMU whose research advances automated software engineering, log analytics, and AI-powered code generation, with a strong publication record in top-tier venues.

Bridges foundational advances in log analytics and automated software engineering with practical applications in cloud reliability and intelligent code generation; recognized for methodological rigor, impactful tool development, and contributions to trustworthy AI for software systems.

Focused research areas include Automated detection and repair of software defects; log parsing and analytics using LLMs; anomaly detection and root cause analysis in large-scale cloud systems; code generation from natural language and screenshots; evaluation and enhancement of LLM-based coding tools; trustworthy agentic AI systems.
Automated software engineeringlog analytics and anomaly detectionAI-powered code generationlarge language models (LLMs) for codeempirical software engineeringcloud systems monitoring and diagnosis.
This highlights are AI-generated content using the faculty's CV.

Qualification

  • PhD, The Chinese University of Hong Kong, 2024

Teaching Topics

  • Data Structures and Algorithms

Research Advisor/Co-Research Advisor to