Learning Contextual Causality from Time-consecutive Images. - Hongming Zhang 009; Yintong Huo; Xinran Zhao; Yangqiu Song; Dan Roth 001 (CoRR, 2020)

Learning Contextual Causality Between Daily Events From Time-Consecutive Images. - Hongming Zhang 009; Yintong Huo; Xinran Zhao; Yangqiu Song; Dan Roth 001 (CVPR Workshops, 2021)

SemParser: A Semantic Parser for Log Analysis. - Yintong Huo; Yuxin Su 001; Baitong Li; Michael R. Lyu (CoRR, 2021)

ARCLIN: Automated API Mention Resolution for Unformatted Texts. - Yintong Huo; Yuxin Su 001; Hongming Zhang 009; Michael R. Lyu (ICSE, 2022)

LogVm: Variable Semantics Miner for Log Messages. - Yintong Huo; Yuxin Su 001; Michael R. Lyu (ISSRE Workshops, 2022)

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. - Hongming Zhang 009; Yintong Huo; Yanai Elazar; Yangqiu Song; Yoav Goldberg; Dan Roth 001 (EACL (Findings), 2023)

A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. - Yintong Huo; Cheryl Lee; Jinyang Liu 002; Tianyi Yang; Michael R. Lyu (ICDM (Workshops), 2023)

SemParser: A Semantic Parser for Log Analytics. - Yintong Huo; Yuxin Su 001; Cheryl Lee; Michael R. Lyu (ICSE, 2023)

EvLog: Identifying Anomalous Logs over Software Evolution. - Yintong Huo; Cheryl Lee; Yuxin Su 001; Shiwen Shan; Jinyang Liu 002; Michael R. Lyu (ISSRE, 2023)

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. - Yintong Huo; Yichen Li 003; Yuxin Su 001; Pinjia He; Zifan Xie; Michael R. Lyu (ASE, 2023)

EvLog: Evolving Log Analyzer for Anomalous Logs Identification. - Yintong Huo; Cheryl Lee; Yuxin Su 001; Shiwen Shan; Jinyang Liu 002; Michael R. Lyu (CoRR, 2023)

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. - Jinyang Liu 002; Junjie Huang 008; Yintong Huo; Zhihan Jiang; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Minzhi Yan; Michael R. Lyu (CoRR, 2023)

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study. - Yichen Li 003; Yintong Huo; Zhihan Jiang; Renyi Zhong; Pinjia He; Yuxin Su 001; Michael R. Lyu (CoRR, 2023)

Prompting for Automatic Log Template Extraction. - Junjielong Xu; Ruichun Yang; Yintong Huo; Chengyu Zhang 001; Pinjia He (CoRR, 2023)

A Large-scale Benchmark for Log Parsing. - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (CoRR, 2023)

LLMParser: A LLM-based Log Parsing Framework. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (CoRR, 2023)

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. - Cheryl Lee; Zhouruixin Zhu; Tianyi Yang; Yintong Huo; Yuxin Su 001; Pinjia He; Michael R. Lyu (ICDE, 2024)

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. - Yun Peng 003; Shuzheng Gao; Cuiyun Gao 001; Yintong Huo; Michael R. Lyu (ICSE, 2024)

DivLog: Log Parsing with Prompt Enhanced In-Context Learning. - Junjielong Xu; Ruichun Yang; Yintong Huo; Chengyu Zhang 001; Pinjia He (ICSE, 2024)

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. - Junjie Huang 008; Zhihan Jiang; Jinyang Liu 002; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Hui Dong; Zengyin Yang; Michael R. Lyu (ISSRE, 2024)

KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems. - Wenwei Gu; Xinying Sun; Jinyang Liu 002; Yintong Huo; Zhuangbin Chen; Jianping Zhang 002; Jiazhen Gu; Yongqiang Yang; Michael R. Lyu (ISSRE, 2024)

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (ISSTA, 2024)

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. - Shiwen Shan; Yintong Huo; Yuxin Su 001; Yichen Li 003; Dan Li 016; Zibin Zheng (ISSTA, 2024)

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. - Yichen Li 003; Yun Peng 003; Yintong Huo; Michael R. Lyu (LLM4CODE@ICSE, 2024)

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach. - Yuxuan Wan; Chaozheng Wang; Yi Dong; Wenxuan Wang 001; Shuqing Li 001; Yintong Huo; Michael R. Lyu (CoRR, 2024)

Automated Defects Detection and Fix in Logging Statement. - Renyi Zhong; Yichen Li 003; Jinxi Kuang; Wenwei Gu; Yintong Huo; 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)

MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs. - Yuxuan Wan; Yi Dong; Jingyu Xiao; Yintong Huo; Wenxuan Wang 001; Michael R. Lyu (CoRR, 2024)

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

Go Static: Contextualized Logging Statement Generation. - Yichen Li 003; Yintong Huo; Renyi Zhong; Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Jiazhen Gu; Pinjia He; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study. - Yichen Li 003; Yintong Huo; Zhihan Jiang; Renyi Zhong; Pinjia He; Yuxin Su 001; Lionel C. Briand; Michael R. Lyu (IEEE Trans. Software Eng., 2024)

Financial Named Entity Recognition: How Far Can LLM Go? - Yi-Te Lu; Yintong Huo (COLING Workshops, 2025)

Divide-and-Conquer: Generating UI Code from Screenshots. - Yuxuan Wan; Chaozheng Wang; Yi Dong; Wenxuan Wang 001; Shuqing Li 001; Yintong Huo; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation. - Renyi Zhong; Yichen Li 003; Guangba Yu; Wenwei Gu; Jinxi Kuang; Yintong Huo; Michael R. Lyu (CoRR, 2025)

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 002; Yintong Huo; Zhuangbin Chen; Jianping Zhang 002; Jiazhen Gu; Yongqiang Yang; Michael R. Lyu (CoRR, 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, 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 003; David Lo 001; Michael R. Lyu (CoRR, 2025)

Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History. - Ruofan Lu; Yintong Huo; Meng Zhang; Yichen Li 003; Michael R. Lyu (CoRR, 2025)

Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks. - Ruofan Lu; Yichen Li 003; Yintong Huo (CoRR, 2025)