Yichen Li

According to our database, Yichen Li authored at least 43 papers between 2021 and 2026.

Collaborative distances:

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

2026

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing.

Chaozheng Wang, Zezhou Yang, Shuzheng Gao, Cuiyun Gao, Zongjie Li, Yichen Li, Ting Peng, Hailiang Huang, Yuetang Deng, Michael R. Lyu

CoRR, April, 2026

Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective.

Meifang Chen, Zhe Yang, Huang Nianchen, Yizhan Huang, Yichen Li, Zihan Li, Michael R. Lyu

CoRR, 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

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

Proactive Change Risk Detection in Production Cloud Systems: ByteDance's Experience.

Jinyang Liu, Yichen Li, Tieying Zhang, Binbin Chen, Xiao He, Zhihan Jiang, Haipeng Zhang, Gang Wu, Yi Li

Proceedings of the 21st European Conference on Computer Systems, 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

Trace Sampling 2.0: Code Knowledge Enhanced Span-level Sampling for Distributed Tracing.

Yulun Wu, Guangba Yu, Zhihan Jiang, Yichen Li, Michael R. Lyu

CoRR, September, 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

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

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis.

Zhihan Jiang, Junjie Huang, Zhuangbin Chen, Yichen Li, Guangba Yu, Cong Feng, Yongqiang Yang, Zengyin Yang, Michael R. Lyu

CoRR, March, 2025

Intent-based System Design and Operation.

Vaastav Anand, Yichen Li, Alok Gautam Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Henrique B. Las-Casas, Rodrigo Fonseca

CoRR, February, 2025

An Empirical Study of Code Clones from Commercial AI Code Generators.

Weibin Wu, Haoxuan Hu, Zhaoji Fan, Yitong Qiao, Yizhan Huang, Yichen Li, Zibin Zheng, Michael R. Lyu

Proc. ACM Softw. Eng., 2025

COFFE: A Code Efficiency Benchmark for Code Generation.

Yun Peng, Jun Wan, Yichen Li, Xiaoxue Ren

Proc. ACM Softw. Eng., 2025

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis.

Zhihan Jiang, Junjie Huang, Guangba Yu, Zhuangbin Chen, Yichen Li, Renyi Zhong, Cong Feng, Yongqiang Yang, Zengyin Yang, Michael R. Lyu

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Intent-based System Design and Operation.

Vaastav Anand, Yichen Li, Alok Gautam Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Henrique B. Las-Casas, Ricardo Bianchini, Rodrigo Fonseca

Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems, 2025

ErrorPrism: Reconstructing Error Propagation Paths in Cloud Service Systems.

Junsong Pu, Yichen Li, Zhuangbin Chen, Jinyang Liu, Zhihan Jiang, Jianjun Chen, Rui Shi, Zibin Zheng, Tieying Zhang

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

Automated Proactive Logging Quality Improvement for Large-Scale Codebases.

Yichen Li, Jinyang Liu, Junsong Pu, Zhihan Jiang, Zhuangbin Chen, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu

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

LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems.

Zhihan Jiang, Jinyang Liu, Yichen Li, Haiyu Huang, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu

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

COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge.

Yichen Li, Yulun Wu, Jinyang Liu, Zhihan Jiang, Zhuangbin Chen, Guangba Yu, Michael R. Lyu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms.

Zhihan Jiang, Rui Ren, Guangba Yu, Yulun Wu, Wenwei Gu, Yichen Li, Yujie Huang, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

Proceedings of the 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 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

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.

Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Yichen Li, Zhihong Tian, Yan Jia, Xuan Wang

IEEE Trans. Software Eng., March, 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

Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials.

Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu

Proc. ACM Softw. Eng., 2024

Automated Defects Detection and Fix in Logging Statement.

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

CoRR, 2024

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection.

Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, 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

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.

Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

2023

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.

Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu

Dataset, November, 2023

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?

Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu

IEEE Trans. Software Eng., April, 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

Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools.

Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, 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

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

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

Improving the Transferability of Adversarial Samples by Path-Augmented Method.

Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Oper. Syst. Rev., 2022

2021

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.

Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu

Dataset, December, 2021