Shenglin Zhang

According to our database, Shenglin Zhang authored at least 71 papers between 2000 and 2025.

Collaborative distances:

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

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

2024

Diagnosing Performance Issues for Large-Scale Microservice Systems With Heterogeneous Graph.

Lei Tao, Xianglin Lu, Shenglin Zhang, Jiaqi Luan, Yingke Li, Mingjie Li, Zeyan Li, Qingyang Yu, Hucheng Xie, Ruijie Xu, Chenyuan Hu, Canqun Yang, Dan Pei

IEEE Trans. Serv. Comput., 2024

A Robust Pose Optimization Scheme With Spatial Geometry Awareness for Hybrid Bronchoscopic Navigation.

Hao Liu, Shenglin Zhang, Yongming Yang, Lei Sun, Zhan Song, Shun Xu

IEEE Trans. Instrum. Meas., 2024

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

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

Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems.

Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei

Proceedings of the ACM on Web Conference 2024, 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

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

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

LogSummary: Unstructured Log Summarization for Software Systems.

Weibin Meng, Federico Zaiter, Yuzhe Zhang, Ying Liu, Shenglin Zhang, Shimin Tao, Yichen Zhu, Tao Han, Yongpeng Zhao, En Wang, Yuzhi Zhang, Dan Pei

IEEE Trans. Netw. Serv. Manag., 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

CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data.

Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei

Proceedings of the ACM Web Conference 2023, 2023

Assess and Summarize: Improve Outage Understanding with Large Language Models.

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

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

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment.

Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, 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

Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN.

Ya Su, Youjian Zhao, Ming Sun, Shenglin Zhang, Xidao Wen, Yongsu Zhang, Xian Liu, Xiaozhou Liu, Junliang Tang, Wenfei Wu, Dan Pei

IEEE Trans. Computers, 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

GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection.

Xiaolei Hua, Lin Zhu, Shenglin Zhang, Zeyan Li, Su Wang, Dong Zhou, Shuo Wang, Chao Deng

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

Force feedback soft endoscope intervention mechanism and its performance evaluation in digestive tract phantom.

Meng Liu, Tao Yu, Shenglin Zhang, Yumei Liu, Zhuo Yang, Hao Liu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data.

Xuanrun Wang, Kanglin Yin, Qianyu Ouyang, Xidao Wen, Shenglin Zhang, Wenchi Zhang, Li Cao, Jiuxue Han, Xing Jin, Dan Pei

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

Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems.

Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu, Dan Pei

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

LogClass: Anomalous Log Identification and Classification With Partial Labels.

Weibin Meng, Ying Liu, Shenglin Zhang, Federico Zaiter, Yuzhe Zhang, Yuheng Huang, Zhaoyang Yu, Yuzhi Zhang, Lei Song, Ming Zhang, Dan Pei

IEEE Trans. Netw. Serv. Manag., 2021

UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks.

Yichen Zhu, Weibin Meng, Ying Liu, Shenglin Zhang, Tao Han, Shimin Tao, Dan Pei

CoRR, 2021

Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems.

Minghua Ma, Shenglin Zhang, Junjie Chen, Jim Xu, Haozhe Li, Yongliang Lin, Xiaohui Nie, Bo Zhou, Yong Wang, Dan Pei

Proceedings of the 2021 USENIX Annual Technical Conference, 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

CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer.

Ming Sun, Ya Su, Shenglin Zhang, Yuanpu Cao, Yuqing Liu, Dan Pei, Wenfei Wu, Yongsu Zhang, Xiaozhou Liu, Junliang Tang

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases.

Minghua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, Feifei Li, Changcheng Chen, Dan Pei

Proc. VLDB Endow., 2020

Summarizing Unstructured Logs in Online Services.

Weibin Meng, Federico Zaiter, Yuheng Huang, Ying Liu, Shenglin Zhang, Yuzhe Zhang, Yichen Zhu, Tianke Zhang, En Wang, Zuomin Ren, Feng Wang, Shimin Tao, Dan Pei

CoRR, 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

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

Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks.

Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Shenglin Zhang, Jiahai Yang, Linlin Mo, Jice Zeng, Wenman Xue, Dan Pei

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

LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning.

Rui Chen, Shenglin Zhang, Dongwen Li, Yuzhe Zhang, Fangrui Guo, Weibin Meng, Dan Pei, Yuzhi Zhang, Xu Chen, Yuqing Liu

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

LogParse: Making Log Parsing Adaptive through Word Classification.

Weibin Meng, Ying Liu, Federico Zaiter, Shenglin Zhang, Yihao Chen, Yuzhe Zhang, Yichen Zhu, En Wang, Ruizhi Zhang, Shimin Tao, Dian Yang, Rong Zhou, Dan Pei

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

A Semantic-aware Representation Framework for Online Log Analysis.

Weibin Meng, Ying Liu, Yuheng Huang, Shenglin Zhang, Federico Zaiter, Bingjin Chen, Dan Pei

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation.

Ping Liu, Yu Chen, Xiaohui Nie, Jing Zhu, Shenglin Zhang, Kaixin Sui, Ming Zhang, Dan Pei

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

LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs.

Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

FUNNEL: Assessing Software Changes in Web-Based Services.

Shenglin Zhang, Ying Liu, Dan Pei, Yu Chen, Xianping Qu, Shimin Tao, Zhi Zang, Xiaowei Jing, Mei Feng

IEEE Trans. Serv. Comput., 2018

PreFix: Switch Failure Prediction in Datacenter Networks.

Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun Xu, Yuzhi Zhang, Yu Chen, Hui Dong, Xianping Qu, Lei Song

Proc. ACM Meas. Anal. Comput. Syst., 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

Device-Agnostic Log Anomaly Classification with Partial Labels.

Weibin Meng, Ying Liu, Shenglin Zhang, Dan Pei, Hui Dong, Lei Song, Xulong Luo

Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection.

Minghua Ma, Shenglin Zhang, Dan Pei, Xin Huang, Hongwei Dai

Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams.

Jiahao Bu, Ying Liu, Shenglin Zhang, Weibin Meng, Qitong Liu, Xiaotian Zhu, Dan Pei

Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

2017

Syslog processing for switch failure diagnosis and prediction in datacenter networks.

Shenglin Zhang, Weibin Meng, Jiahao Bu, Sen Yang, Ying Liu, Dan Pei, Jun Xu, Yu Chen, Hui Dong, Xianping Qu, Lei Song

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

2015

A bottleneck-free model for P4P.

Ying Liu, Shenglin Zhang, Hongying Liu

Sci. China Inf. Sci., 2015

Building an IPv6 address generation and traceback system with NIDTGA in Address Driven Network.

Ying Liu, Gang Ren, Jianping Wu, Shenglin Zhang, Lin He, Yihao Jia

Sci. China Inf. Sci., 2015

TSP: A traffic sharing platform for mobile networks.

Hui Su, Tong Li, Ke Xu, Shenglin Zhang, Xiaoliang Wang

Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Rapid and robust impact assessment of software changes in large internet-based services.

Shenglin Zhang, Ying Liu, Dan Pei, Yu Chen, Xianping Qu, Shimin Tao, Zhi Zang

Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies, 2015

2014

A measurement study on BGP AS path looping (BAPL) behavior.

Shenglin Zhang, Ying Liu, Dan Pei

Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

2013

An Improved Cooperative Model of P2P and ISP.

Ying Liu, Shenglin Zhang, Hongying Liu

Proceedings of the Frontiers in Internet Technologies, 2013

2000

The Net Disk Architecture for Dynamic Load Balancing among Disk Arrays.

Tetsuro Kakeshita, Shenglin Zhang

Proceedings of the Seventh International Conference on Parallel and Distributed Systems, 2000