Renyi Zhong

According to our database, Renyi Zhong authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

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

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

Why Does the LLM Stop Computing: An Empirical Study of User-Reported Failures in Open-Source LLMs.

Guangba Yu, Zirui Wang, Yujie Huang, Renyi Zhong, Yuedong Zhong, Yilun Wang, Michael R. Lyu

CoRR, January, 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

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

Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis.

Wenwei Gu, Renyi Zhong, Jianping Zhang, Michael R. Lyu

CoRR, March, 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

Towards Quality Assurance of Natural Language in Code.

Renyi Zhong

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

Cordial: Cross-row Failure Prediction Method Based on Bank-level Error Locality for HBMs.

Wenwei Gu, Jiazhen Gu, Renyi Zhong, Wenyu Zhang, Ming Li, 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

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

Automated Defects Detection and Fix in Logging Statement.

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

CoRR, 2024

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach.

Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu

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

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