activity
20222025
most citedCausal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition

92 citations · 159 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

RPM-MCTS: Knowledge-Retrieval as Process Reward Model with Monte Carlo Tree Search for Code Generation

Yuanyuan Lin, Xiangyu Ouyang, Teng Zhang +1

Tree search-based methods have made significant progress in enhancing the code generation capabilities of large language models. However, due to the difficulty in effectively evalu…

cs.SE2025

LogSage: An LLM-Based Framework for CI/CD Failure Detection and Remediation with Industrial Validation

Weiyuan Xu, Juntao Luo, Tao Huang +7

Continuous Integration and Deployment (CI/CD) pipelines are critical to modern software engineering, yet diagnosing and resolving their failures remains complex and labor-intensive…

cs.CL2025

P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark

Tao Sun, Enhao Pan, Zhengkai Yang +8

Academic posters are vital for scholarly communication, yet their manual creation is time-consuming. However, automated academic poster generation faces significant challenges in p…

cs.SE2025

BitsAI-CR: Automated Code Review via LLM in Practice

Tao Sun, Jian Xu, Yuanpeng Li +9

Code review remains a critical yet resource-intensive process in software development, particularly challenging in large-scale industrial environments. While Large Language Models…

cs.SE2023

Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems

Zeyan Li, Junjie Chen, Yihao Chen +9

Localizing root causes for multi-dimensional data is critical to ensure online service systems' reliability. When a fault occurs, only the measure values within specific attribute…

cs.SE2022★ 67 cited

Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems

Zeyan Li, Nengwen Zhao, Mingjie Li +11

Fault localization is challenging in an online service system due to its monitoring data's large volume and variety and complex dependencies across or within its components (e.g.,…

cs.SE2022★ 92 cited

Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition

Mingjie Li, Zeyan Li, Kanglin Yin +4

Fault diagnosis is critical in many domains, as faults may lead to safety threats or economic losses. In the field of online service systems, operators rely on enormous monitoring…