Yichen Li

51 papers A* 7A 3Journal 36Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements.
ACM Trans. Softw. Eng. Methodol.
Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, Michael R. Lyu
2026 A conf
Proactive Change Risk Detection in Production Cloud Systems: ByteDance's Experience.
EuroSys
Jinyang Liu, Yichen Li, Tieying Zhang, Binbin Chen, Xiao He, Zhihan Jiang, Haipeng Zhang, Gang Wu, Yi Li
2025 J jnl
An Empirical Study of Code Clones from Commercial AI Code Generators.
Proc. ACM Softw. Eng.
Weibin Wu, Haoxuan Hu, Zhaoji Fan, Yitong Qiao, Yizhan Huang, Yichen Li, Zibin Zheng, Michael R. Lyu
2025 A* conf
Automated Proactive Logging Quality Improvement for Large-Scale Codebases.
ASE
Yichen Li, Jinyang Liu, Junsong Pu, Zhihan Jiang, Zhuangbin Chen, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu
2025 J jnl
CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency.
CoRR
Renyi Zhong, Yintong Huo, Wenwei Gu, Jinxi Kuang, Zhihan Jiang, Guangba Yu, Yichen Li, David Lo, Michael R. Lyu
2025 A* conf
COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge.
ICSE
Yichen Li, Yulun Wu, Jinyang Liu, Zhihan Jiang, Zhuangbin Chen, Guangba Yu, Michael R. Lyu
2025 J jnl
COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge.
CoRR
Yichen Li, Yulun Wu, Jinyang Liu, Zhihan Jiang, Zhuangbin Chen, Guangba Yu, Michael R. Lyu
2025 J jnl
COFFE: A Code Efficiency Benchmark for Code Generation.
Proc. ACM Softw. Eng.
Yun Peng, Jun Wan, Yichen Li, Xiaoxue Ren
2025 J jnl
End-to-End Automated Logging via Multi-Agent Framework.
CoRR
Renyi Zhong, Yintong Huo, Wenwei Gu, Yichen Li, Michael R. Lyu
2025 A* conf
ErrorPrism: Reconstructing Error Propagation Paths in Cloud Service Systems.
ASE
Junsong Pu, Yichen Li, Zhuangbin Chen, Jinyang Liu, Zhihan Jiang, Jianjun Chen, Rui Shi, Zibin Zheng, Tieying Zhang
2025 J jnl
ErrorPrism: Reconstructing Error Propagation Paths in Cloud Service Systems.
CoRR
Junsong Pu, Yichen Li, Zhuangbin Chen, Jinyang Liu, Zhihan Jiang, Jianjun Chen, Rui Shi, Zibin Zheng, Tieying Zhang
2025 A* conf
Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks.
ASE
Ruofan Lu, Yichen Li, Yintong Huo
2025 J jnl
Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks.
CoRR
Ruofan Lu, Yichen Li, Yintong Huo
2025 — conf
Intent-based System Design and Operation.
PACMI@SOSP
Vaastav Anand, Yichen Li, Alok Gautam Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Henrique B. Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
2025 J jnl
Intent-based System Design and Operation.
CoRR
Vaastav Anand, Yichen Li, Alok Gautam Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Henrique B. Las-Casas, Rodrigo Fonseca
2025 — conf
L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis.
SIGSOFT FSE Companion
Zhihan Jiang, Junjie Huang, Guangba Yu, Zhuangbin Chen, Yichen Li, Renyi Zhong, Cong Feng, Yongqiang Yang, Zengyin Yang, Michael R. Lyu
2025 J jnl
L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis.
CoRR
Zhihan Jiang, Junjie Huang, Zhuangbin Chen, Yichen Li, Guangba Yu, Cong Feng, Yongqiang Yang, Zengyin Yang, Michael R. Lyu
2025 — conf
LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms.
DSN-S
Zhihan Jiang, Rui Ren, Guangba Yu, Yulun Wu, Wenwei Gu, Yichen Li, Yujie Huang, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
2025 J jnl
LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms.
CoRR
Zhihan Jiang, Rui Ren, Guangba Yu, Yulun Wu, Wenwei Gu, Yichen Li, Yujie Huang, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
2025 J jnl
Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation.
CoRR
Renyi Zhong, Yichen Li, Guangba Yu, Wenwei Gu, Jinxi Kuang, Yintong Huo, Michael R. Lyu
2025 A* conf
LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems.
ASE
Zhihan Jiang, Jinyang Liu, Yichen Li, Haiyu Huang, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu
2025 J jnl
LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems.
CoRR
Zhihan Jiang, Jinyang Liu, Yichen Li, Haiyu Huang, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu
2025 J jnl
Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History.
CoRR
Ruofan Lu, Yintong Huo, Meng Zhang, Yichen Li, Michael R. Lyu
2025 J jnl
Trace Sampling 2.0: Code Knowledge Enhanced Span-level Sampling for Distributed Tracing.
CoRR
Yulun Wu, Guangba Yu, Zhihan Jiang, Yichen Li, Michael R. Lyu
2024 A conf
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
ISSTA
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu
2024 J jnl
Automated Defects Detection and Fix in Logging Statement.
CoRR
Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, Michael R. Lyu
2024 — conf
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.
LLM4CODE@ICSE
Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu
2024 J jnl
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.
CoRR
Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu
2024 J jnl
Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study.
IEEE Trans. Software Eng.
Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Lionel C. Briand, Michael R. Lyu
2024 A conf
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.
ISSTA
Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng
2024 J jnl
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.
CoRR
Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng
2024 — conf
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.
ICSE-SEIP
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
2024 J jnl
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.
CoRR
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
2024 J jnl
Go Static: Contextualized Logging Statement Generation.
CoRR
Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu
2024 J jnl
Go Static: Contextualized Logging Statement Generation.
Proc. ACM Softw. Eng.
Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu
2024 J jnl
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.
Proc. ACM Softw. Eng.
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
2024 J jnl
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection.
CoRR
Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu
2024 J jnl
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.
IEEE Trans. Software Eng.
Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Yichen Li, Zhihong Tian, Yan Jia, Xuan Wang
2024 J jnl
Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials.
Proc. ACM Softw. Eng.
Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu
2023 J jnl
A Large-scale Benchmark for Log Parsing.
CoRR
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu
2023 A* conf
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.
ASE
Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu
2023 J jnl
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.
CoRR
Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu
2023 J jnl
Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools.
CoRR
Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu
2023 J jnl
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study.
CoRR
Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu
2023 A* conf
Improving the Transferability of Adversarial Samples by Path-Augmented Method.
CVPR
Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu
2023 J jnl
Improving the Transferability of Adversarial Samples by Path-Augmented Method.
CoRR
Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu
2023 J jnl
LLMParser: A LLM-based Log Parsing Framework.
CoRR
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
2023 J jnl
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
IEEE Trans. Software Eng.
Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu
2022 J jnl
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.
ACM SIGOPS Oper. Syst. Rev.
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
2022 J jnl
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.
CoRR
Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Yichen Li, Zhihong Tian, Yan Jia, Xuan Wang
2021 J jnl
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
CoRR
Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu