(# Equal contribution, * Corresponding author)

• (Preprint) Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach [PDF]
  Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo*, and Michael R. Lyu.
• (Preprint) Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study [PDF] [Dataset: LogBench]
  Yichen Li^#, Yintong Huo^#, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Lionel C. Briand, and Michael R. Lyu.
• (ISSTA'24) Face It Yourselves: An LLM-based Two-Stage Strategy to Localize Configuration Errors via Logs [PDF]
  Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, and Zibin Zheng. To appear in the ACM International Symposium on Software Testing and Analysis, 2024
• (ISSTA'24) A Large-scale Evaluation for Log Parsing Techniques: How Far are We? [PDF] [Dataset: LogPub]
  Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, and Michael R. Lyu. To appear in the ACM International Symposium on Software Testing and Analysis, 2024
• (FSE'24) Go Static: Contextualized Logging Statement Generation [PDF]
  Yichen Li, Yintong Huo*, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjie He, and Michael R. Lyu. To appear in the ACM International Conference on the Foundations of Software Engineering, 2024
• (FSE'24) LILAC: Log Parsing using LLMs with Adaptive Parsing Cache [PDF]
  Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjie He, Jiazhen Gu, and Michael R. Lyu. To appear in the ACM International Conference on the Foundations of Software Engineering, 2024
• (ICSE'24-LLM4Code) Enhancing LLM-based Coding Tools Through Native Integration of IDE-Derived Static Context [PDF]
  Yichen Li, Yun Peng, Yintong Huo*, and Michael R. Lyu. To appear in the IEEE/ACM International Conference on Software Engineering Workshop on Large Language Model for Code, 2024
• (ICSE'24) DivLog: Log Parsing with Prompt Enhanced In-Context Learning [PDF]
  Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He.Proceedings of 44th International Conference on Software Engineering, 2024
• (ASE'23) AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection [PDF]
  Yintong Huo^#, Yichen Li^#, Yuxin Su, Pinjia He, Zifan Xie, and Michael R. Lyu. Proceedings of 38th IEEE/ACM International Conference on Automated Software Engineering, 2023.
• (ISSRE'23) EvLog: Identifying Anomalous Logs over Software Evolution [PDF]
  Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu and Michael R. Lyu. Proceedings of 34th IEEE International Symposium on Software Reliability Engineering, 2023
• (ICSE'24) Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors [PDF]
  Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu. Proceedings of 44th International Conference on Software Engineering, 2024
• (EACL'23-Findings) CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm [PDF]
  Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth. EACL Findings, 2023
• (ICSE'23) SemParser: A Semantic Parser for Log Analytics [PDF]
  Yintong Huo, Yuxin Su, Baitong Li, Michael R. Lyu. Proceedings of 44th International Conference on Software Engineering, 2023
• (ISSRE'22-FastAbstract) LogVM: Variable Semantics Miner for Log Messages [PDF]
  Yintong Huo, Yuxin Su, Michael R. Lyu. Proceedings of 33rd International Symposium on Software Reliability Engineering, 2022
• (IEEE SERVICES'22) LogPAI: An Open-Source Project for Automated Log Analysis [Project] [Announcement]
  Pinjia He, Jieming Zhu, Shilin He, Zhuangbin Chen, Jinyang Liu, Yintong Huo, Yuxin Su, Zibin Zheng and Michael R. Lyu. IEEE SERVICES 2022 - IEEE Open Software Services Awards (3k+ Stars, 70k+ Downloads)
• (ICSE'22) ARCLIN: Automated API Mention Resolution for Unformatted Texts [PDF]
  Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu. Proceedings of 44th International Conference on Software Engineering, 2022.
• (CVPR'24-Workshop) Learning Contextual Causality Between Daily Events From Time-Consecutive Images [PDF]
  Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.