Yintong Huo

According to our database, Yintong Huo authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions.

Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu

CoRR, 2024

Go Static: Contextualized Logging Statement Generation.

Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu

CoRR, 2024

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.

Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu

CoRR, 2024

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors.

Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

LLMParser: A LLM-based Log Parsing Framework.

Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu

CoRR, 2023

A Large-scale Benchmark for Log Parsing.

Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu

CoRR, 2023

Prompting for Automatic Log Template Extraction.

Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He

CoRR, 2023

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

Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu

CoRR, 2023

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

Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu

CoRR, 2023

EvLog: Evolving Log Analyzer for Anomalous Logs Identification.

Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu

CoRR, 2023

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.

Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

EvLog: Identifying Anomalous Logs over Software Evolution.

Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

SemParser: A Semantic Parser for Log Analytics.

Yintong Huo, Yuxin Su, Cheryl Lee, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems.

Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu

Proceedings of the IEEE International Conference on Data Mining, 2023

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm.

Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

LogVm: Variable Semantics Miner for Log Messages.

Yintong Huo, Yuxin Su, Michael R. Lyu

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

ARCLIN: Automated API Mention Resolution for Unformatted Texts.

Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

SemParser: A Semantic Parser for Log Analysis.

Yintong Huo, Yuxin Su, Baitong Li, Michael R. Lyu

CoRR, 2021

Learning Contextual Causality Between Daily Events From Time-Consecutive Images.

Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Learning Contextual Causality from Time-consecutive Images.

Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth

CoRR, 2020