Yintong Huo

According to our database, Yintong Huo authored at least 58 papers between 2020 and 2026.

Collaborative distances:

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

2026

TrajAudit: Automated Failure Diagnosis for Agentic Coding Systems.

Minxing Wang, Xiaofei Xie, Yintong Huo

CoRR, May, 2026

CelerLog: Fast Log Parsing via Dynamic Routing.

Shiwen Shan, Yintong Huo, Minxing Wang, Zhiying Wu, Yuxin Su, Zibin Zheng

CoRR, May, 2026

From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements.

Yuxuan Wan, Tingshuo Liang, Jiakai Xu, Jingyu Xiao, Yintong Huo, Michael R. Lyu

CoRR, May, 2026

UIBenchKit: A unified toolkit for design-to-code model evaluation.

Chinh T. Le, Trevor Ong Yee Siang, Jingyu Xiao, Yuxuan Wan, Yintong Huo

CoRR, May, 2026

KPIRoot+: An efficient integrated framework for anomaly detection and root cause analysis in large-scale cloud systems.

Wenwei Gu, Renyi Zhong, Guangba Yu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu

Empir. Softw. Eng., April, 2026

Single-Language Evidence Is Insufficient for Automated Logging: A Multilingual Benchmark and Empirical Study with LLMs.

Renyi Zhong, Yichen Li, Yulun Wu, Jinxi Kuang, Yintong Huo, Michael R. Lyu

CoRR, April, 2026

AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation.

Xinyu Li, Yintong Huo, Chenxi Mao, Shiwen Shan, Yuxin Su, Yanlin Wang, Zibin Zheng

CoRR, April, 2026

LogFold: Compressing Logs with Structured Tokens and Hybrid Encoding.

Shiwen Shan, Yintong Huo, Hongzhan Zhong, Zhining Wang, Yuxin Su, Zibin Zheng

CoRR, March, 2026

ComUICoder: Component-based Reusable UI Code Generation for Complex Websites via Semantic Segmentation and Element-wise Feedback.

Jingyu Xiao, Jiantong Qin, Shuoqi Li, Man Ho Lam, Yuxuan Wan, Jen-tse Huang, Yintong Huo, Michael R. Lyu

CoRR, February, 2026

LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements.

Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, Michael R. Lyu

ACM Trans. Softw. Eng. Methodol., January, 2026

Small is Beautiful: A Practical and Efficient Log Parsing Framework.

Minxing Wang, Yintong Huo

CoRR, January, 2026

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification.

Yuxuan Wan, Tianqing Fang, Zaitang Li, Yintong Huo, Wenxuan Wang, Haitao Mi, Dong Yu, Michael R. Lyu

CoRR, January, 2026

Forecasting Developer Environments with GenAI: A Research Perspective.

Raula Gaikovina Kula, Christoph Treude, Xing Hu, Sebastian Baltes, Earl T. Barr, Kelly Blincoe, Fabio Calefato, Junjie Chen, Marc Cheong, Youmei Fan, Daniel M. Germán, Marco Aurélio Gerosa, Jin L. C. Guo, Shinpei Hayashi, Robert Hirschfeld, Reid Holmes, Yintong Huo, Takashi Kobayashi, Michele Lanza, Zhongxin Liu, Olivier Nourry, Nicole Novielli, Denys Poshyvanyk, Shinobu Saito, Kazumasa Shimari, Igor Steinmacher, Mairieli Wessel, Markus Wagner, Annie Vella, Laurie Williams, Xin Xia

Proceedings of the 3rd ACM/IEEE International Workshop on Integrated Development Environments, 2026

2025

End-to-End Automated Logging via Multi-Agent Framework.

Renyi Zhong, Yintong Huo, Wenwei Gu, Yichen Li, Michael R. Lyu

CoRR, November, 2025

CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs.

Junjie Huang, Minghua He, Jinyang Liu, Yintong Huo, Domenico Bianculli, Michael R. Lyu

CoRR, October, 2025

Automatically Generating Web Applications from Requirements Via Multi-Agent Test-Driven Development.

Yuxuan Wan, Tingshuo Liang, Jiakai Xu, Jingyu Xiao, Yintong Huo, Michael R. Lyu

CoRR, September, 2025

EfficientUICoder: Efficient MLLM-based UI Code Generation via Input and Output Token Compression.

Jingyu Xiao, Zhongyi Zhang, Yuxuan Wan, Yintong Huo, Yang Liu, Michael R. Lyu

CoRR, September, 2025

ConfLogger: Enhance Systems' Configuration Diagnosability through Configuration Logging.

Shiwen Shan, Yintong Huo, Yuxin Su, Zhining Wang, Dan Li, Zibin Zheng

CoRR, August, 2025

Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History.

Ruofan Lu, Yintong Huo, Meng Zhang, Yichen Li, Michael R. Lyu

CoRR, August, 2025

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency.

Renyi Zhong, Yintong Huo, Wenwei Gu, Jinxi Kuang, Zhihan Jiang, Guangba Yu, Yichen Li, David Lo, Michael R. Lyu

CoRR, June, 2025

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation.

Jingyu Xiao, Ming Wang, Man Ho Lam, Yuxuan Wan, Junliang Liu, Yintong Huo, Michael R. Lyu

CoRR, June, 2025

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

Renyi Zhong, Yichen Li, Guangba Yu, Wenwei Gu, Jinxi Kuang, Yintong Huo, Michael R. Lyu

CoRR, May, 2025

Divide-and-Conquer: Generating UI Code from Screenshots.

Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu

Proc. ACM Softw. Eng., 2025

Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping.

Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zixin Wang, Xinyi Xu, Wenxuan Wang, Zhiyao Xu, Yuhang Wang, Michael R. Lyu

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks.

Ruofan Lu, Yichen Li, Yintong Huo

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Financial Named Entity Recognition: How Far Can LLM Go?

Yi-Te Lu, Yintong Huo

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Envisioning Future Interactive Web Development: Editing Webpage with Natural Language.

Truong Hai Dang, Jingyu Xiao, Yintong Huo

Proceedings of the 2nd IEEE/ACM International Conference on AI-powered Software, 2025

2024

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

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

IEEE Trans. Software Eng., December, 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

Proc. ACM Softw. Eng., 2024

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.

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

Proc. ACM Softw. Eng., 2024

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

Yuxuan Wan, Yi Dong, Jingyu Xiao, Yintong Huo, Wenxuan Wang, Michael R. Lyu

CoRR, 2024

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

Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zhiyao Xu, Michael R. Lyu

CoRR, 2024

Automated Defects Detection and Fix in Logging Statement.

Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, Michael R. Lyu

CoRR, 2024

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

Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, 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

LLM4CODE@ICSE, 2024

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.

Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng

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?

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

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.

Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.

Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

DivLog: Log Parsing with Prompt Enhanced In-Context Learning.

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

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.

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

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

Proceedings of the 40th IEEE International Conference on Data 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