Dan Pei

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 141

Top Venues

Publications

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion (2024)
Shenglin Zhang, Yongxin Zhao, Xiao Xiong, Yongqian Sun, Xiaohui Nie, Jiacheng Zhang, Fenglai Wang, Xian Zheng, Yuzhi Zhang, Dan Pei
Illuminating the Gray Zone: Non-intrusive Gray Failure Localization in Server Operating Systems. SIGSOFT FSE Companion (2024)
Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. KDD (2024)
Shenglin Zhang, Sibo Xia, Wenzhao Fan, Binpeng Shi, Xiao Xiong, Zhenyu Zhong, Minghua Ma, Yongqian Sun, Dan Pei
Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis. CoRR (2024)
Haotian Si, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, Jianhui Li, Gaogang Xie
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models. CoRR (2024)
Zhenhe Yao, Changhua Pei, Wenxiao Chen, Hanzhang Wang, Liangfei Su, Huai Jiang, Zhe Xie, Xiaohui Nie, Dan Pei
Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph. SIGSOFT FSE Companion (2024)
Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei
A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management. CoRR (2024)
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. WWW (2024)
Shenglin Zhang, Jun Zhu, Bowen Hao, Yongqian Sun, Xiaohui Nie, Jingwen Zhu, Xilin Liu, Xiaoqian Li, Yuchi Ma, Dan Pei
Fault Diagnosis for Test Alarms in Microservices through Multi-source Data. SIGSOFT FSE Companion (2024)
Qingyang Yu, Nengwen Zhao, Mingjie Li, Zeyan Li, Honglin Wang, Wenchi Zhang, Kaixin Sui, Dan Pei
A survey on intelligent management of alerts and incidents in IT services. J. Netw. Comput. Appl. 224 (2024)
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. CoRR (2024)
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
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis. CoRR (2024)
Zhe Xie, Shenglin Zhang, Yitong Geng, Yao Zhang, Minghua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yongqian Sun, Wentao Li, Dan Pei
Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space. KDD (2024)
Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei
Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems. WWW (2024)
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
OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models. CoRR (2023)
Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei
CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. WWW (2023)
Haotian Si, Changhua Pei, Zhihan Li, Yadong Zhao, Jingjing Li, Haiming Zhang, Zulong Diao, Jianhui Li, Gaogang Xie, Dan Pei
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection. ESEC/SIGSOFT FSE (2023)
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
Robust Failure Diagnosis of Microservice System Through Multimodal Data. IEEE Trans. Serv. Comput. 16 (6) (2023)
Yongqian Sun, Daguo Cheng, Tiankai Yang, Yuhe Ji, Shenglin Zhang, Man Zhu, Xiao Xiong, Qiliang Fan, Minghan Liang, Dan Pei, Tianchi Ma, Yu Chen
Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters. IEEE Trans. Computers 72 (10) (2023)
Chunhui Shen, Qianyu Ouyang, Feibo Li, Zhipeng Liu, Longcheng Zhu, Yujie Zou, Qing Su, Tianhuan Yu, Yi Yi, Jianhong Hu, Cen Zheng, Bo Wen, Hanbang Zheng, Lunfan Xu, Sicheng Pan, Bin Wu, Xiao He, Ye Li, Jian Tan, Sheng Wang, Dan Pei, Wei Zhang, Feifei Li
Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems. Proc. VLDB Endow. 16 (12) (2023)
Zhe Xie, Haowen Xu, Wenxiao Chen, Wanxue Li, Huai Jiang, Liangfei Su, Hanzhang Wang, Dan Pei
Unsupervised Anomaly Detection on Microservice Traces through Graph VAE. WWW (2023)
Yongqian Sun, Daguo Cheng, Pengxiang Jin, Quan Ding, Shenglin Zhang, Xu Chen, Yuzhi Zhang, Minghan Liang, Dan Pei, Jianyan Zheng, Sen Luo, Xinyu Tang
Robust Anomaly Clue Localization of Multi-Dimensional Derived Measure for Online Video Services. IEEE Trans. Serv. Comput. 16 (2) (2023)
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
Robust Multimodal Failure Detection for Microservice Systems. CoRR (2023)
Zeyan Li, Junjie Chen, Yihao Chen, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems. CoRR (2023)
Zhe Xie, Changhua Pei, Wanxue Li, Huai Jiang, Liangfei Su, Jianhui Li, Gaogang Xie, Dan Pei
From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach. ESEC/SIGSOFT FSE (2023)
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
LogKG: Log Failure Diagnosis Through Knowledge Graph. IEEE Trans. Serv. Comput. 16 (5) (2023)
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
Robust Failure Diagnosis of Microservice System through Multimodal Data. CoRR (2023)
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
Robust Multimodal Failure Detection for Microservice Systems. KDD (2023)
Weibin Meng, Federico Zaiter, Yuzhe Zhang, Ying Liu, Shenglin Zhang, Shimin Tao, Yichen Zhu, Tao Han, Yongpeng Zhao, En Wang, Yuzhi Zhang, Dan Pei
LogSummary: Unstructured Log Summarization for Software Systems. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Zeyan Li, Junjie Chen, Yihao Chen, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei
Generic and robust root cause localization for multi-dimensional data in online service systems. J. Syst. Softw. 203 (2023)
Yongqian Sun, Minghan Liang, Zeyu Che, Dongwen Li, Tinghua Zheng, Shenglin Zhang, Pengtian Zhu, Yuzhi Zhang, Dan Pei
Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services. ICWS (2023)
Haotian Si, Changhua Pei, Zhihan Li, Yadong Zhao, Jingjing Li, Haiming Zhang, Zulong Diao, Jianhui Li, Gaogang Xie, Dan Pei
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection. CoRR (2023)
Yongqi Han, Qingfeng Du, Jincheng Xu, Shengjie Zhao, Zhekang Chen, Li Cao, Kanglin Yin, Dan Pei
LWS: A framework for log-based workload simulation in session-based SUT. J. Syst. Softw. 203 (2023)
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
An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series. ISSRE (2023)
Shenglin Zhang, Zhongjie Pan, Heng Liu, Pengxiang Jin, Yongqian Sun, Qianyu Ouyang, Jiaju Wang, Xueying Jia, Yuzhi Zhang, Hui Yang, Yongqiang Zou, Dan Pei
Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems. ISSRE (2023)
Zhenyu Zhong, Qiliang Fan, Jiacheng Zhang, Minghua Ma, Shenglin Zhang, Yongqian Sun, Qingwei Lin, Yuzhi Zhang, Dan Pei
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain. CoRR (2023)
Yongqi Han, Qingfeng Du, Jincheng Xu, Shengjie Zhao, Zhekang Chen, Li Cao, Kanglin Yin, Dan Pei
LWS: A Framework for Log-based Workload Simulation in Session-based SUT. CoRR (2023)
Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei
AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. ISSRE (2023)
Xuanrun Wang, Kanglin Yin, Qianyu Ouyang, Xidao Wen, Shenglin Zhang, Wenchi Zhang, Li Cao, Jiuxue Han, Xing Jin, Dan Pei
Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data. ISSRE (2022)
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
Robust System Instance Clustering for Large-Scale Web Services. WWW (2022)
Mingjie Li, Minghua Ma, Xiaohui Nie, Kanglin Yin, Li Cao, Xidao Wen, Zhiyun Yuan, Duogang Wu, Guoying Li, Wei Liu, Xin Yang, Dan Pei
Mining Fluctuation Propagation Graph Among Time Series with Active Learning. DEXA (1) (2022)
Zhihan Li, Youjian Zhao, Yitong Geng, Zhanxiang Zhao, Hanzhang Wang, Wenxiao Chen, Huai Jiang, Amber Vaidya, Liangfei Su, Dan Pei
Situation-Aware Multivariate Time Series Anomaly Detection Through Active Learning and Contrast VAE-Based Models in Large Distributed Systems. IEEE J. Sel. Areas Commun. 40 (9) (2022)
Yongqian Sun, Kunlin Jian, Liyue Cui, Guifei Jiang, Shenglin Zhang, Yuzhi Zhang, Dan Pei
Online malicious domain name detection with partial labels for large-scale dependable systems. J. Syst. Softw. 190 (2022)
Shenglin Zhang, Zhenyu Zhong, Dongwen Li, Qiliang Fan, Yongqian Sun, Man Zhu, Yuzhi Zhang, Dan Pei, Jiyan Sun, Yinlong Liu, Hui Yang, Yongqiang Zou
Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services. IEEE J. Sel. Areas Commun. 40 (8) (2022)
Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition. KDD (2022)
Zeyan Li, Nengwen Zhao, Mingjie Li, Xianglin Lu, Lixin Wang, Dongdong Chang, Xiaohui Nie, Li Cao, Wenzhi Zhang, Kaixin Sui, Yanhua Wang, Xu Du, Guoqiang Duan, Dan Pei
Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems. CoRR (2022)
Zeyan Li, Nengwen Zhao, Mingjie Li, Xianglin Lu, Lixin Wang, Dongdong Chang, Xiaohui Nie, Li Cao, Wenchi Zhang, Kaixin Sui, Yanhua Wang, Xu Du, Guoqiang Duan, Dan Pei
Actionable and interpretable fault localization for recurring failures in online service systems. ESEC/SIGSOFT FSE (2022)
Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition. CoRR (2022)
Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu, Dan Pei
Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems. CCGRID (2022)
Ya Su, Youjian Zhao, Ming Sun, Shenglin Zhang, Xidao Wen, Yongsu Zhang, Xian Liu, Xiaozhou Liu, Junliang Tang, Wenfei Wu, Dan Pei
Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN. IEEE Trans. Computers 71 (4) (2022)
Yiran Cheng, Bo Cheng, Pengxiang Jin, Yongqian Sun, Xiaohui Nie, Nengwen Zhao, Shenglin Zhang, Dan Pei
Effective Attribute Selection for Multi-dimensional Root Cause Analysis. ISSRE (2022)
Zeyan Li, Nengwen Zhao, Shenglin Zhang, Yongqian Sun, Pengfei Chen, Xidao Wen, Minghua Ma, Dan Pei
Constructing Large-Scale Real-World Benchmark Datasets for AIOps. CoRR (2022)
Shenglin Zhang, Chenyu Zhao, Yicheng Sui, Ya Su, Yongqian Sun, Yuzhi Zhang, Dan Pei, Yizhe Wang
Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels. ISSRE (2021)
Ming Sun, Ya Su, Shenglin Zhang, Yuanpu Cao, Yuqing Liu, Dan Pei, Wenfei Wu, Yongsu Zhang, Xiaozhou Liu, Junliang Tang
CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer. INFOCOM (2021)
Zeyan Li, Junjie Chen, Rui Jiao, Nengwen Zhao, Zhijun Wang, Shuwei Zhang, Yanjun Wu, Long Jiang, Leiqin Yan, Zikai Wang, Zhekang Chen, Wenchi Zhang, Xiaohui Nie, Kaixin Sui, Dan Pei
Practical Root Cause Localization for Microservice Systems via Trace Analysis. IWQoS (2021)
Yichen Zhu, Weibin Meng, Ying Liu, Shenglin Zhang, Tao Han, Shimin Tao, Dan Pei
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks. CoRR (2021)
Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Zhu Pan, Yong Wu, Zhen Feng, Xidao Wen, Wenchi Zhang, Kaixin Sui, Dan Pei
An empirical investigation of practical log anomaly detection for online service systems. ESEC/SIGSOFT FSE (2021)
Canhua Wu, Nengwen Zhao, Lixin Wang, Xiaoqin Yang, Shining Li, Ming Zhang, Xing Jin, Xidao Wen, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei
Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems. ISSRE (2021)
Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei
Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding. KDD (2021)
Minghua Ma, Shenglin Zhang, Junjie Chen, Jim Xu, Haozhe Li, Yongliang Lin, Xiaohui Nie, Bo Zhou, Yong Wang, Dan Pei
Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems. USENIX Annual Technical Conference (2021)
Mingjie Li, Xiaoying Bai, Minghua Ma, Dan Pei
DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution. CoRR (2021)
Wenxiao Chen, Xiaohui Nie, Mingliang Li, Dan Pei
DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models. CoRR (2021)
Nengwen Zhao, Junjie Chen, Zhaoyang Yu, Honglin Wang, Jiesong Li, Bin Qiu, Hongyu Xu, Wenchi Zhang, Kaixin Sui, Dan Pei
Identifying bad software changes via multimodal anomaly detection for online service systems. ESEC/SIGSOFT FSE (2021)
Weibin Meng, Ying Liu, Shenglin Zhang, Federico Zaiter, Yuzhe Zhang, Yuheng Huang, Zhaoyang Yu, Yuzhi Zhang, Lei Song, Ming Zhang, Dan Pei
LogClass: Anomalous Log Identification and Classification With Partial Labels. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Rui Chen, Shenglin Zhang, Dongwen Li, Yuzhe Zhang, Fangrui Guo, Weibin Meng, Dan Pei, Yuzhi Zhang, Xu Chen, Yuqing Liu
LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning. ISSRE (2020)
Weibin Meng, Ying Liu, Yuheng Huang, Shenglin Zhang, Federico Zaiter, Bingjin Chen, Dan Pei
A Semantic-aware Representation Framework for Online Log Analysis. ICCCN (2020)
Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, Yan Liu
ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks. INFOCOM (2020)
Shenglin Zhang, Lei Song, Ming Zhang, Ying Liu, Weibin Meng, Jiahao Bu, Sen Yang, Yongqian Sun, Dan Pei, Jun Xu, Yuzhi Zhang
Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks. IEEE Access 8 (2020)
Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Shenglin Zhang, Jiahai Yang, Linlin Mo, Jice Zeng, Wenman Xue, Dan Pei
Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks. ISSRE (2020)
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
Summarizing Unstructured Logs in Online Services. CoRR (2020)
Zhihan Li, Youjian Zhao, Haowen Xu, Wenxiao Chen, Shangqing Xu, Yilin Li, Dan Pei
Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing. IJCNN (2020)
Haowen Xu, Wenxiao Chen, Jinlin Lai, Zhihan Li, Youjian Zhao, Dan Pei
Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs. ICONIP (5) (2020)
Nengwen Zhao, Junjie Chen, Xiao Peng, Honglin Wang, Xinya Wu, Yuanzong Zhang, Zikai Chen, Xiangzhong Zheng, Xiaohui Nie, Gang Wang, Yong Wu, Fang Zhou, Wenchi Zhang, Kaixin Sui, Dan Pei
Understanding and handling alert storm for online service systems. ICSE (Companion Volume) (2020)
Nengwen Zhao, Panshi Jin, Lixin Wang, Xiaoqin Yang, Rong Liu, Wenchi Zhang, Kaixin Sui, Dan Pei
Automatically and Adaptively Identifying Severe Alerts for Online Service Systems. INFOCOM (2020)
Ping Liu, Shenglin Zhang, Yongqian Sun, Yuan Meng, Jiahai Yang, Dan Pei
FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System. IPCCC (2020)
Ruming Tang, Cheng Huang, Yanti Zhou, Haoxian Wu, Xianglin Lu, Yongqian Sun, Qi Li, Jinjin Li, Weiyao Huang, Siyuan Sun, Dan Pei
A Practical Machine Learning-Based Framework to Detect DNS Covert Communication in Enterprises. SecureComm (2) (2020)
Nengwen Zhao, Junjie Chen, Xiao Peng, Honglin Wang, Xinya Wu, Yuanzong Zhang, Zikai Chen, Xiangzhong Zheng, Xiaohui Nie, Gang Wang, Yong Wu, Fang Zhou, Wenchi Zhang, Kaixin Sui, Dan Pei
Understanding and handling alert storm for online service systems. ICSE (SEIP) (2020)
Wenxiao Chen, Wenda Liu, Zhenting Cai, Haowen Xu, Dan Pei
VAEPP: Variational Autoencoder with a Pull-Back Prior. ICONIP (3) (2020)
Nengwen Zhao, Junjie Chen, Zhou Wang, Xiao Peng, Gang Wang, Yong Wu, Fang Zhou, Zhen Feng, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei
Real-time incident prediction for online service systems. ESEC/SIGSOFT FSE (2020)
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
LogParse: Making Log Parsing Adaptive through Word Classification. ICCCN (2020)
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
Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases. Proc. VLDB Endow. 13 (8) (2020)
Yao Wang, Zhaowei Wang, Zejun Xie, Nengwen Zhao, Junjie Chen, Wenchi Zhang, Kaixin Sui, Dan Pei
Practical and White-Box Anomaly Detection through Unsupervised and Active Learning. ICCCN (2020)
Yuan Meng, Shenglin Zhang, Yongqian Sun, Ruru Zhang, Zhilong Hu, Yiyin Zhang, Chenyang Jia, Zhaogang Wang, Dan Pei
Localizing Failure Root Causes in a Microservice through Causality Inference. IWQoS (2020)
Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs. IJCAI (2019)
Yuan Meng, Shenglin Zhang, Zijie Ye, Benliang Wang, Zhi Wang, Yongqian Sun, Qitong Liu, Shuai Yang, Dan Pei
Causal Analysis of the Unsatisfying Experience in Realtime Mobile Multiplayer Games in the Wild. ICME (2019)
Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei
Personalized re-ranking for recommendation. RecSys (2019)
Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei
Personalized Context-aware Re-ranking for E-commerce Recommender Systems. CoRR (2019)
Haowen Xu, Wenxiao Chen, Jinlin Lai, Zhihan Li, Youjian Zhao, Dan Pei
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder. CoRR (2019)
Kai Zhao, Zhen Tu, Fengli Xu, Yong Li, Pengyu Zhang, Dan Pei, Li Su, Depeng Jin
Walking Without Friends: Publishing Anonymized Trajectory Dataset Without Leaking Social Relationships. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, Dan Pei
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network. KDD (2019)
Justin Cosentino, Federico Zaiter, Dan Pei, Jun Zhu
The Search for Sparse, Robust Neural Networks. CoRR (2019)
Nengwen Zhao, Jing Zhu, Yao Wang, Minghua Ma, Wenchi Zhang, Dapeng Liu, Ming Zhang, Dan Pei
Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
Ping Liu, Yu Chen, Xiaohui Nie, Jing Zhu, Shenglin Zhang, Kaixin Sui, Ming Zhang, Dan Pei
FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation. ISSRE (2019)
Wenxiao Chen, Haowen Xu, Zeyan Li, Dan Pei, Jie Chen, Honglin Qiao, Yang Feng, Zhaogang Wang
Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE. INFOCOM (2019)
Nengwen Zhao, Jing Zhu, Rong Liu, Dapeng Liu, Ming Zhang, Dan Pei
Label-Less: A Semi-Automatic Labelling Tool for KPI Anomalies. INFOCOM (2019)
Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
Collaborative learning between cloud and end devices: an empirical study on location prediction. SEC (2019)
Zeyan Li, Dan Pei, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang
Generic and Robust Localization of Multi-dimensional Root Causes. ISSRE (2019)
Ya Su, Youjian Zhao, Wentao Xia, Rong Liu, Jiahao Bu, Jing Zhu, Yuanpu Cao, Haibin Li, Chenhao Niu, Yiyin Zhang, Zhaogang Wang, Dan Pei
CoFlux: robustly correlating KPIs by fluctuations for service troubleshooting. IWQoS (2019)
Xiaohui Nie, Youjian Zhao, Zhihan Li, Guo Chen, Kaixin Sui, Jiyang Zhang, Zijie Ye, Dan Pei
Dynamic TCP Initial Windows and Congestion Control Schemes Through Reinforcement Learning. IEEE J. Sel. Areas Commun. 37 (6) (2019)
Shenglin Zhang, Ying Liu, Dan Pei, Yu Chen, Xianping Qu, Shimin Tao, Zhi Zang, Xiaowei Jing, Mei Feng
FUNNEL: Assessing Software Changes in Web-Based Services. IEEE Trans. Serv. Comput. 11 (1) (2018)

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Publication Activity (10 Years)

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Dan Pei