Yintong Huo

Orcid: 0009-0006-8798-5667

According to our database1, Yintong Huo authored at least 39 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks.
CoRR, August, 2025

Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History.
CoRR, August, 2025

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency.
CoRR, June, 2025

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation.
CoRR, June, 2025

KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems.
CoRR, June, 2025

Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation.
CoRR, May, 2025

Divide-and-Conquer: Generating UI Code from Screenshots.
Proc. ACM Softw. Eng., 2025

Financial Named Entity Recognition: How Far Can LLM Go?
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study.
IEEE Trans. Software Eng., December, 2024

Go Static: Contextualized Logging Statement Generation.
Proc. ACM Softw. Eng., 2024

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.
Proc. ACM Softw. Eng., 2024

MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs.
CoRR, 2024

Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation?
CoRR, 2024

Automated Defects Detection and Fix in Logging Statement.
CoRR, 2024

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach.
CoRR, 2024

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.
LLM4CODE@ICSE, 2024

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

DivLog: Log Parsing with Prompt Enhanced In-Context Learning.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
LLMParser: A LLM-based Log Parsing Framework.
CoRR, 2023

A Large-scale Benchmark for Log Parsing.
CoRR, 2023

Prompting for Automatic Log Template Extraction.
CoRR, 2023

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study.
CoRR, 2023

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop.
CoRR, 2023

EvLog: Evolving Log Analyzer for Anomalous Logs Identification.
CoRR, 2023

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

EvLog: Identifying Anomalous Logs over Software Evolution.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

SemParser: A Semantic Parser for Log Analytics.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems.
Proceedings of the IEEE International Conference on Data Mining, 2023

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
LogVm: Variable Semantics Miner for Log Messages.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

ARCLIN: Automated API Mention Resolution for Unformatted Texts.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
SemParser: A Semantic Parser for Log Analysis.
CoRR, 2021

Learning Contextual Causality Between Daily Events From Time-Consecutive Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Learning Contextual Causality from Time-consecutive Images.
CoRR, 2020


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