Yongqian Sun

According to our database, Yongqian Sun authored at least 58 papers between 2013 and 2025.

Collaborative distances:

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

2025

Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning.

Yongqian Sun, Weihua Kuang, Chao Shen, Xidao Wen, Tinghua Zheng, Heng Liu, Shenglin Zhang, Bo Wu, Dan Pei

CoRR, July, 2025

ClusterRCA: Network Failure Diagnosis in HPC Systems Using Multimodal Data.

Yongqian Sun, Xijie Pan, Xiao Xiong, Lei Tao, Jiaju Wang, Shenglin Zhang, Yuan Yuan, Yuqi Li, Kunlin Jian

CoRR, June, 2025

TrioXpert: An automated incident management framework for microservice system.

Yongqian Sun, Yu Luo, Xidao Wen, Yuan Yuan, Xiaohui Nie, Shenglin Zhang, Tong Liu, Xi Luo

CoRR, June, 2025

Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems.

Yongqian Sun, Minghan Liang, Shenglin Zhang, Zeyu Che, Zhiyao Luo, Dongwen Li, Yuzhi Zhang, Dan Pei, Lemeng Pan, Liping Hou

ACM Trans. Softw. Eng. Methodol., May, 2025

Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder.

Yongqian Sun, Zihan Lin, Binpeng Shi, Shenglin Zhang, Shiyu Ma, Pengxiang Jin, Zhenyu Zhong, Lemeng Pan, Yicheng Guo, Dan Pei

ACM Trans. Softw. Eng. Methodol., February, 2025

Privacy-preserving MTS anomaly detection for network devices through federated learning.

Shenglin Zhang, Ting Xu, Jun Zhu, Yongqian Sun, Pengxiang Jin, Binpeng Shi, Dan Pei

Inf. Sci., 2025

A Multimodal Intelligent Change Assessment Framework for Microservice Systems Based on Large Language Models.

Yongqian Sun, Tinghua Zheng, Xidao Wen, Weihua Kuang, Heng Liu, Shenglin Zhang, Chao Shen, Bo Wu, Dan Pei

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

LLM-Augmented Ticket Aggregation for Low-cost Mobile OS Defect Resolution.

Yongqian Sun, Bowen Hao, Xiaotian Wang, Chenyu Zhao, Yongxin Zhao, Binpeng Shi, Shenglin Zhang, Qiao Ge, Wenhu Li, Hua Wei, Dan Pei

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

OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models' Capability in IT Operations Domain.

Yuhe Liu, Changhua Pei, Longlong Xu, Bohan Chen, Mingze Sun, Zhirui Zhang, Yongqian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Minghua Ma, Dan Pei

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

AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices.

Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei

Proceedings of the IEEE International Conference on Software Analysis, 2025

LogLM: From Task-Based to Instruction-Based Automated Log Analysis.

Yilun Liu, Yuhe Ji, Shimin Tao, Minggui He, Weibin Meng, Shenglin Zhang, Yongqian Sun, Yuming Xie, Boxing Chen, Hao Yang

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

Bridging the Gap: LLM-Powered Transfer Learning for Log Anomaly Detection in New Software Systems.

Yicheng Sui, Xiaotian Wang, Tianyu Cui, Tong Xiao, Chenghao He, Shenglin Zhang, Yuzhi Zhang, Xiao Yang, Yongqian Sun, Dan Pei

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

No More Data Silos: Unified Microservice Failure Diagnosis With Temporal Knowledge Graph.

Shenglin Zhang, Yongxin Zhao, Sibo Xia, Shirui Wei, Yongqian Sun, Chenyu Zhao, Shiyu Ma, Junhua Kuang, Bolin Zhu, Lemeng Pan, Yicheng Guo, Dan Pei

IEEE Trans. Serv. Comput., 2024

Predicting Parameter Change's Effect on Cellular Network Time Series.

Mingjie Li, Yongqian Sun, Xiaolei Hua, Renkai Yu, Xinwen Fan, Lin Zhu, Junlan Feng, Dan Pei

CoRR, 2024

A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management.

Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei

CoRR, 2024

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis.

Tianyu Cui, Shiyu Ma, Ziang Chen, Tong Xiao, Shimin Tao, Yilun Liu, Shenglin Zhang, Duoming Lin, Changchang Liu, Yuzhe Cai, Weibin Meng, Yongqian Sun, Dan Pei

CoRR, 2024

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis.

Shenglin Zhang, Sibo Xia, Wenzhao Fan, Binpeng Shi, Xiao Xiong, Zhenyu Zhong, Minghua Ma, Yongqian Sun, Dan Pei

CoRR, 2024

Illuminating the Gray Zone: Non-intrusive Gray Failure Localization in Server Operating Systems.

Shenglin Zhang, Yongxin Zhao, Xiao Xiong, Yongqian Sun, Xiaohui Nie, Jiacheng Zhang, Fenglai Wang, Xian Zheng, Yuzhi Zhang, Dan Pei

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data.

Shenglin Zhang, Jun Zhu, Bowen Hao, Yongqian Sun, Xiaohui Nie, Jingwen Zhu, Xilin Liu, Xiaoqian Li, Yuchi Ma, Dan Pei

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space.

Zhe Xie, Shenglin Zhang, Yitong Geng, Yao Zhang, Minghua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yongqian Sun, Wentao Li, Dan Pei

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

End-to-End AutoML for Unsupervised Log Anomaly Detection.

Shenglin Zhang, Yuhe Ji, Jiaqi Luan, Xiaohui Nie, Ziang Chen, Minghua Ma, Yongqian Sun, Dan Pei

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

Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization.

Lei Tao, Shenglin Zhang, Zedong Jia, Jinrui Sun, Minghua Ma, Zhengdan Li, Yongqian Sun, Canqun Yang, Yuzhi Zhang, Dan Pei

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

ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems.

Yongqian Sun, Binpeng Shi, Mingyu Mao, Minghua Ma, Sibo Xia, Shenglin Zhang, Dan Pei

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

Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models.

Shenglin Zhang, Pengtian Zhu, Minghua Ma, Jiagang Wang, Yongqian Sun, Dongwen Li, Jingyu Wang, Qianying Guo, Xiaolei Hua, Lin Zhu, Dan Pei

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing.

Shenglin Zhang, Xiao Xiong, Mengyao Li, Yongqian Sun, Yongxin Zhao, Xia Chen, Bowen Deng, Dan Pei

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices.

Shenglin Zhang, Zeyu Che, Zhongjie Pan, Xiaohui Nie, Yongqian Sun, Lemeng Pan, Dan Pei

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Exploring Hierarchical Patterns for Alert Aggregation in Supercomputers.

Yuan Yuan, Tongqing Zhou, Xiuhong Tan, Yongqian Sun, Yuqi Li, Zhixing Li, Zhiping Cai, Tiejun Li

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism.

Yongqian Sun, Yang Guo, Minghan Liang, Xidao Wen, Junhua Kuang, Shenglin Zhang, Hongbo Li, Kaixu Xia, Dan Pei

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models.

Haotian Si, Jianhui Li, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, Gaogang Xie

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2023

Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters.

Yongqian Sun, Daguo Cheng, Tiankai Yang, Yuhe Ji, Shenglin Zhang, Man Zhu, Xiao Xiong, Qiliang Fan, Minghan Liang, Dan Pei, Tianchi Ma, Yu Chen

IEEE Trans. Computers, October, 2023

Generic and robust root cause localization for multi-dimensional data in online service systems.

Zeyan Li, Junjie Chen, Yihao Chen, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei

J. Syst. Softw., September, 2023

Robust Failure Diagnosis of Microservice System Through Multimodal Data.

Shenglin Zhang, Pengxiang Jin, Zihan Lin, Yongqian Sun, Bicheng Zhang, Sibo Xia, Zhengdan Li, Zhenyu Zhong, Minghua Ma, Wa Jin, Dai Zhang, Zhenyu Zhu, Dan Pei

IEEE Trans. Serv. Comput., 2023

Robust Anomaly Clue Localization of Multi-Dimensional Derived Measure for Online Video Services.

Yongqian Sun, Daguo Cheng, Pengxiang Jin, Quan Ding, Shenglin Zhang, Xu Chen, Yuzhi Zhang, Minghan Liang, Dan Pei, Jianyan Zheng, Sen Luo, Xinyu Tang

IEEE Trans. Serv. Comput., 2023

LogKG: Log Failure Diagnosis Through Knowledge Graph.

Yicheng Sui, Yuzhe Zhang, Jianjun Sun, Ting Xu, Shenglin Zhang, Zhengdan Li, Yongqian Sun, Fangrui Guo, Junyu Shen, Yuzhi Zhang, Dan Pei, Xiao Yang, Li Yu

IEEE Trans. Serv. Comput., 2023

OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models.

Yuhe Liu, Changhua Pei, Longlong Xu, Bohan Chen, Mingze Sun, Zhirui Zhang, Yongqian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Dan Pei

CoRR, 2023

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain.

Zhenyu Zhong, Qiliang Fan, Jiacheng Zhang, Minghua Ma, Shenglin Zhang, Yongqian Sun, Qingwei Lin, Yuzhi Zhang, Dan Pei

CoRR, 2023

Robust Multimodal Failure Detection for Microservice Systems.

Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, LuLu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems.

Shenglin Zhang, Zhongjie Pan, Heng Liu, Pengxiang Jin, Yongqian Sun, Qianyu Ouyang, Jiaju Wang, Xueying Jia, Yuzhi Zhang, Hui Yang, Yongqiang Zou, Dan Pei

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

An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series.

Dongwen Li, Shenglin Zhang, Yongqian Sun, Yang Guo, Zeyu Che, Shiqi Chen, Zhenyu Zhong, Minghan Liang, Minyi Shao, Mingjie Li, Shuyang Liu, Yuzhi Zhang, Dan Pei

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

Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services.

Yongqian Sun, Minghan Liang, Zeyu Che, Dongwen Li, Tinghua Zheng, Shenglin Zhang, Pengtian Zhu, Yuzhi Zhang, Dan Pei

Proceedings of the IEEE International Conference on Web Services, 2023

2022

Online malicious domain name detection with partial labels for large-scale dependable systems.

Yongqian Sun, Kunlin Jian, Liyue Cui, Guifei Jiang, Shenglin Zhang, Yuzhi Zhang, Dan Pei

J. Syst. Softw., 2022

Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services.

Shenglin Zhang, Zhenyu Zhong, Dongwen Li, Qiliang Fan, Yongqian Sun, Man Zhu, Yuzhi Zhang, Dan Pei, Jiyan Sun, Yinlong Liu, Hui Yang, Yongqiang Zou

IEEE J. Sel. Areas Commun., 2022

Constructing Large-Scale Real-World Benchmark Datasets for AIOps.

Zeyan Li, Nengwen Zhao, Shenglin Zhang, Yongqian Sun, Pengfei Chen, Xidao Wen, Minghua Ma, Dan Pei

CoRR, 2022

Robust System Instance Clustering for Large-Scale Web Services.

Shenglin Zhang, Dongwen Li, Zhenyu Zhong, Jun Zhu, Minghan Liang, Jiexi Luo, Yongqian Sun, Ya Su, Sibo Xia, Zhongyou Hu, Yuzhi Zhang, Dan Pei, Jiyan Sun, Yinlong Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Effective Attribute Selection for Multi-dimensional Root Cause Analysis.

Yiran Cheng, Bo Cheng, Pengxiang Jin, Yongqian Sun, Xiaohui Nie, Nengwen Zhao, Shenglin Zhang, Dan Pei

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

2021

Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels.

Shenglin Zhang, Chenyu Zhao, Yicheng Sui, Ya Su, Yongqian Sun, Yuzhi Zhang, Dan Pei, Yizhe Wang

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

2020

Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks.

Shenglin Zhang, Lei Song, Ming Zhang, Ying Liu, Weibin Meng, Jiahao Bu, Sen Yang, Yongqian Sun, Dan Pei, Jun Xu, Yuzhi Zhang

IEEE Access, 2020

A Practical Machine Learning-Based Framework to Detect DNS Covert Communication in Enterprises.

Ruming Tang, Cheng Huang, Yanti Zhou, Haoxian Wu, Xianglin Lu, Yongqian Sun, Qi Li, Jinjin Li, Weiyao Huang, Siyuan Sun, Dan Pei

Proceedings of the Security and Privacy in Communication Networks, 2020

Localizing Failure Root Causes in a Microservice through Causality Inference.

Yuan Meng, Shenglin Zhang, Yongqian Sun, Ruru Zhang, Zhilong Hu, Yiyin Zhang, Chenyang Jia, Zhaogang Wang, Dan Pei

Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System.

Ping Liu, Shenglin Zhang, Yongqian Sun, Yuan Meng, Jiahai Yang, Dan Pei

Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks.

Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, Yan Liu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Generic and Robust Localization of Multi-dimensional Root Causes.

Zeyan Li, Dan Pei, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang

Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Causal Analysis of the Unsatisfying Experience in Realtime Mobile Multiplayer Games in the Wild.

Yuan Meng, Shenglin Zhang, Zijie Ye, Benliang Wang, Zhi Wang, Yongqian Sun, Qitong Liu, Shuai Yang, Dan Pei

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes.

Yongqian Sun, Youjian Zhao, Ya Su, Dapeng Liu, Xiaohui Nie, Yuan Meng, Shiwen Cheng, Dan Pei, Shenglin Zhang, Xianping Qu, Xuanyou Guo

IEEE Access, 2018

2016

Analyzing the impact of buffer capacity on crosspoint-queued switch performance.

Guo Chen, Youjian Zhao, Dan Pei, Yongqian Sun

J. Commun. Networks, 2016

2015

Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning.

Dapeng Liu, Youjian Zhao, Haowen Xu, Yongqian Sun, Dan Pei, Jiao Luo, Xiaowei Jing, Mei Feng

Proceedings of the 2015 ACM Internet Measurement Conference, 2015

2014

Designing Buffer Capacity of Crosspoint-Queued Switch.

Guo Chen, Dan Pei, Youjian Zhao, Yongqian Sun

Proceedings of the Network and Parallel Computing, 2014

2013

Method and application of active visual tracking based on illumination invariants.

Jie Su, Guisheng Yin, Lei Wang, Yongqian Sun, Zheng Liu

Proceedings of the Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 2013