Yifan Wu

According to our database, Yifan Wu authored at least 25 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Survey of AIOps in the Era of Large Language Models.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li

CoRR, July, 2025

An Empirical Study on Commit Message Generation Using LLMs via In-Context Learning.

Yifan Wu, Yunpeng Wang, Ying Li, Wei Tao, Siyu Yu, Haowen Yang, Wei Jiang, Jianguo Li

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

ScalaLog: Scalable Log-Based Failure Diagnosis Using LLM.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Hongyi Liu, Ying Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

XDrain: Effective log parsing in log streams using fixed-depth forest.

Changjian Liu, Yang Tian, Siyu Yu, Donghui Gao, Yifan Wu, Suqun Huang, Xiaochun Hu, Ningjiang Chen

Inf. Softw. Technol., 2024

A Survey of AIOps for Failure Management in the Era of Large Language Models.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li

CoRR, 2024

Log Parsing with Self-Generated In-Context Learning and Self-Correction.

Yifan Wu, Siyu Yu, Ying Li

CoRR, 2024

LogPTR: Variable-Aware Log Parsing with Pointer Network.

Yifan Wu, Bingxu Chai, Siyu Yu, Ying Li, Pinjia He, Wei Jiang, Jianguo Li

CoRR, 2024

Understanding and Improving Change Risk Detection in Practice.

Yifan Wu, Yunpeng Wang, Jianguo Li, Ying Li, Bingxu Chai, Wei Jiang

Proceedings of the IEEE International Conference on Software Analysis, 2024

OCRCL: Online Contrastive Learning for Root Cause Localization of Business Incidents.

Xiaosong Huang, Hongyi Liu, Yifan Wu, Yujin Zhao, Changlong Wu, Songlin Zhang, Ling Jiang, Tong Jia, Ying Li, Zhonghai Wu

Proceedings of the IEEE International Conference on Software Analysis, 2024

MMDL-Based Data Augmentation with Domain Knowledge for Time Series Classification.

Xiaosheng Li, Yifan Wu, Wei Jiang, Ying Li, Jianguo Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing.

Siyu Yu, Yifan Wu, Ying Li, Pinjia He

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Commit Message Generation via ChatGPT: How Far Are We?

Yifan Wu, Ying Li, Siyu Yu

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending.

Shiyi Zhu, Jing Ye, Wei Jiang, Siqiao Xue, Qi Zhang, Yifan Wu, Jianguo Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Self-supervised log parsing using semantic contribution difference.

Siyu Yu, Ningjiang Chen, Yifan Wu, Wensheng Dou

J. Syst. Softw., June, 2023

Brain: Log Parsing With Bidirectional Parallel Tree.

Siyu Yu, Pinjia He, Ningjiang Chen, Yifan Wu

IEEE Trans. Serv. Comput., 2023

Cure the headache of Transformers via Collinear Constrained Attention.

Shiyi Zhu, Jing Ye, Wei Jiang, Qi Zhang, Yifan Wu, Jianguo Li

CoRR, 2023

UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction.

Xiaosong Huang, Yifan Wu, Hongyi Liu, Ying Li, Hao Yu, Dadi Guo, Zhonghai Wu

Proceedings of the IEEE International Conference on Software Analysis, 2023

Log Parsing with Generalization Ability under New Log Types.

Siyu Yu, Yifan Wu, Zhijing Li, Pinjia He, Ningjiang Chen, Changjian Liu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle.

Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Yifan Wu, Tong Jia, Ying Li, Zhonghai Wu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

An Empirical Study on Change-induced Incidents of Online Service Systems.

Yifan Wu, Bingxu Chai, Ying Li, Bingchang Liu, Jianguo Li, Yong Yang, Wei Jiang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022

ByteGNN: Efficient Graph Neural Network Training at Large Scale.

Chenguang Zheng, Hongzhi Chen, Yuxuan Cheng, Zhezheng Song, Yifan Wu, Changji Li, James Cheng, Hao Yang, Shuai Zhang

Proc. VLDB Endow., 2022

Probabilistic Hesitant Fuzzy Taxonomy Method Based on Best-Worst-Method (BWM) and Indifference Threshold-Based Attribute Ratio Analysis (ITARA) for Multi-attributes Decision-Making.

Peide Liu, Yifan Wu, Ying Li

Int. J. Fuzzy Syst., 2022

2021

LogFlash: Real-time Streaming Anomaly Detection and Diagnosis from System Logs for Large-scale Software Systems.

Tong Jia, Yifan Wu, Chuanjia Hou, Ying Li

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Diagnosing Performance Issues in Microservices with Heterogeneous Data Source.

Chuanjia Hou, Tong Jia, Yifan Wu, Ying Li, Jing Han

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

2020

How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method.

Yong Yang, Yifan Wu, Karthik Pattabiraman, Long Wang, Ying Li

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020