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From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach Zhe Xie, Changhua Pei*, Wanxue Li, Huai Jiang, Liangfei Su, Jianhui Li, Gaogang Xie, and Dan Pei ESEC/FSE 2023 industry track. San Francisco, CA, USA, Dec. 3 – Dec. 9, 2023 (CCF A, to appear).
AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, and Dan Pei. The 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023). Florence, Italy, October 2023 (CCF B, accepted, to appear).
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, and Dan Pei. The 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023). Florence, Italy, October 2023 (CCF B, accepted, to appear).
An Empirical Analysis of Anomaly Detection Issues 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, and Dan Pei. The 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023). Florence, Italy, October 2023 (CCF B, accepted, to appear).
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 Journal of Systems and Software, May 4, 2023 (CCF B类，TH-CPL B类)
智能运维的实践：现状与标准化 包航宇, 殷康璘*, 曹立, 李世宁, 孙永敬, 尹汇锋, 汤汝鸣, 侯岳, 王士强, 裴丹, 杨晓勤, 王立新 软件学报,2023,34(9):2204-2230 (THU B)
Unsupervised Anomaly Detection on Microservice Traces through Graph VAE Zhe Xie, Haowen Xu, Wenxiao Chen, Wanxue Li, Huai Jiang, Liangfei Su, Hanzhang Wang, Dan Pei* WWW 2023, Austin, Texas, USA, April 30 – May 4, 2023 (CCF A)
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 WWW 2023, Austin, Texas, USA, April 30 – May 4, 2023 (CCF A)
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 Transactions on Services Computing, 2023 (CCF A, accepted, to appear).
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 Transactions on Services Computing, 2023 (CCF A, accepted, to appear).
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. THE 29TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, USA, August 2023 (CCF A, accepted, to appear).
Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters Yongqian Sun, Daguo Cheng, Tiankai Yang, Shenglin Zhang*, Man Zhu, Xiao Xiong, Qiliang Fan, Minghan Liang, Dan Pei, Tianchi Ma, Yu Chen. IEEE Transactions on Computers, 2023 (CCF A, accepted, to appear).
LogSummary: Unstructured Log Summarization for Software Systems Weibin Meng, Yuzhe Zhang, Federico Zaiter, Ying Liu, Shenglin Zhang*, Shimin Tao, Yichen Zhu, Tao Han, Yongpeng Zhao, En Wang, Yuzhi Zhang, Dan Pei. IEEE Transactions on Network and Service Management (IEEE TNSM), January 2023 (SCI Indexed, IF: 4.758).
A Study on Response Time Anomaly Diagnosis for Search Service Sibo Xia, Minghua Ma, Pengxiang Jin, Liyue Cui, Shenglin Zhang*, Wa Jin, Yongqian Sun, Dan Pei. Journal of Computer Research and Development, 2023 (CCF T1, in Chinese, accepted)
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 ISSRE 2022, Charlotte, North Carolina, USA, October 31 – November 3, 2022 (CCF B)
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 ISSRE 2022, Charlotte, North Carolina, USA, October 31 – November 3, 2022 (CCF B)
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
Situation-Aware Multivariate Time Series Anomaly Detection through Active Learning and Contrast VAE-based Models in Large Distributed Systems Zhihan Li, Youjian Zhao, Yitong Geng, Zhanxiang Zhao, Hanzhang Wang, Wenxiao Chen, Huai Jiang, Amber Vaidya, Liangfei Su, Dan Pei*. JSAC 2022, Series on Machine Learning for Communications and Networks (CCF A)
Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems 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* ESEC/FSE 2022, Nov 14-18, 2022, Singapore (CCF-A)
Mining Fluctuation Propagation Graph among Time Series with Active Learning Mingjie Li, Minghua Ma, Xiaohui Nie, Kanglin Yin, Li Cao, Xidao Wen*, Zhiyun Yuan, Duogang Wu, Guoying Li, Wei Liu, Xin Yang, Dan Pei DEXA 2022, Vienna, Austria, Aug 22-24, 2022 (CCF C)
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei* KDD 2022, Washington, DC, USA, Aug 14-18, 2022 (CCF A)
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* and Dan Pei. CCGrid 2022, 16-19 May 2022, Italy. (THU B)
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 Transactions on Services Computing. (CCF B)
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 and Yinlong Liu. The Web Conference (WWW 2022), Virtual Conference, April 25-29, 2022 (CCF A)
基于调用链控制流分析的大型微服务系统性能建模与异常定位 于庆洋，白晓颖*，李明杰，李奇原，刘涛，刘泽胤，裴丹 软件学报,2022,33(5):1849-1864 (THU B)
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 ISSRE 2021 , Wuhan, China, Oct 25, 2021.
Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems Canhua Wu, Nengwen Zhao, Lixin Wang, Xiaoqin Yang, Shining Li, Ming Zhang, Xing Jin, Xidao Wen, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei ISSRE 2021 , Wuhan, China, Oct 25, 2021.
An Empirical Investigation of Practical Log Anomaly Detection for Online Service Systems Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Zhu Pan, Yong Wu, Zhen Feng, Xidao Wen ,Wenchi Zhang,Kaixin Sui ,Dan Pei ESEC/FSE 2021 (industry track), Athens, Greece, Aug 23, 2021.
Identifying Bad Software Changes via Multimodal Anomaly Detection for Online Service Systems Nengwen Zhao, Junjie Chen, Zhaoyang Yu, Honglin Wang, Jiesong Li, Bin Qiu, Hongyu Xu, Wenchi Zhang, Kaixin Sui, Dan Pei ESEC/FSE 2021, Athens, Greece, Aug 23, 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 ATC 2021, virtual event, July 14, 2021.
Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei KDD 2021, August 14-18, 2021, virtual conference
Practical Root Cause Localization for Microservice Systems via Trace Analysis 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 IWQoS 2021, June 25-28, 2021, virtual conference
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 TC (IEEE Transactions on Computers)，2021-03-10
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 INFOCOM2021, May 10 – 13, 2021, virtual conference
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 and Dan Pei IEEE TNSM (IEEE Transactions on Network and Service Management) 2021
FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System Ping Liu, Shenglin Zhang, Yongqian Sun, Yuan Meng, Jiahai Yang, Dan Pei IPCCC2020, November 6 – 8, 2020, virtual conference
VAEPP: Variational Autoencoder with a Pull-back Prior Wenxiao Chen, Wenda Liu, Zhenting Cai, Haowen Xu, Dan Pei ICONIP2020, November 18 – 22, 2020, Online
Shallow VAEs with RealNVP Prior Can Perform as Well as Deep Hierarchical VAEs Haowen Xu, Wenxiao Chen, Jinlni Lai, Zhihan Li, Youjian Zhao, Dan Pei ICONIP2020, November 18 – 22, 2020, Online
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 ISSRE2020, Oct 12 – 15, 2020, Coimbra, Portugal
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 ISSRE2020, Oct 12 – 15, 2020, Coimbra, Portugal
Real-time Incident Prediction for Online Service Systems Nengwen Zhao, Junjie Chen, Zhou Wang , Xiao Peng , Gang Wang, Yong Wu, Fang Zhou, Zhen Feng, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei ESEC/FSE 2020,Sacramento, California, United States, November 8, 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 SecureComm 2020, Cyberspace , October 21-23, 2020
Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks Shenglin Zhang ; Ying Liu ; Weibin Meng ; Jiahao Bu ; Sen Yang ; Yongqian Sun ; Dan Pei ; Jun Xu ; Yuzhi Zhang ; Lei Song ; Ming Zhang IEEE Access
Diagnosing Root Causes of Intermittent Slow Queries in 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 VLDB 2020, Tokyo, Japan, August 31, 2020.
A Semantic-aware Representation Framework forOnline Log Analysis Weibin Meng, Ying Liu, Yuheng Huang, Shenglin Zhang, Federico Zaiter, Bingjin Chen, Dan Pei ICCCN 2020, Honolulu, Hawaii, USA, Auguest 3 – August 6, 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 ICCCN 2020, Honolulu, Hawaii, USA, Auguest 3 – August 6, 2020.
Practical and White-Box Anomaly Detection through Unsupervised and Active Learning Yao Wang, Zhaowei Wang, Zejun Xie, Nengwen Zhao, Junjie Chen, Wenchi Zhang, Kaixin Sui, Dan Pei ICCCN 2020, Honolulu, Hawaii, USA, August 3 – August 6, 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 IWQOS2020, Virtual Conference, 15-17 June 2020
Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing Zhihan Li, Youjian Zhao, Haowen Xu, Wenxiao Chen, Shangqing Xu, Yilin Li, Dan Pei IJCNN (WCCI) 2020, Virtual Conference, Jul 19-24, 2020
Understanding and Handling Alert Storm for Online Service Systems Nengwen Zhao, Junjie Chen, Xiao Peng, Honglin Wang, Xinya Wu, Yuanzong Zhan, Zikai Chen , Xiangzhong Zheng, Xiaohui Nie, Gang Wang, Yong Wu, Fang Zhou, Wenchi Zhang, Kaixin Sui, Dan Pei ICSE SEIP 2020, Virtual Conference, Jul 6-11 2020
Automatically and Adaptively Identifying Severe Alerts for Online Service Systems Nengwen Zhao, Panshi Jin, Lixin Wang, Xiaoqin Yang, Rong Liu, Wenchi Zhang, Kaixin Sui, Dan Pei INFOCOM 2020, Virtual Conference, Jul 6-9, 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 INFOCOM 2020, Cyberspace, Jul 6-9, 2020
Batch Job Run Time Prediction for Auto-Scaling in the Cloud Minghua Ma, Christopher Zheng, Junjie Chen, Yilin Li, Dan Pei CIEMCS 2020 , New York, NY, USA, February 7, 2020.
The Search for Sparse, Robust Neural Networks Justin Cosentino*, Federico Zaiter*, Dan Pei, Jun Zhu SRDM 2019 , Vancouver, British Columbia, Canada, December 13th, 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 ISSRE 2019， Berlin, Germany, Oct 28-31, 2019
Generic and Robust Localization of Multi-Dimensional Root Causes Zeyan Li, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang and Dan Pei ISSRE 2019， Berlin, Germany, Oct 28-31, 2019
Walking without Friends: Publishing Anonymized Trajectory Dataset without Leaking Social Relationships Kai Zhao, Zhen Tu, Fengli Xu, Yong Li, Pengyu Zhang, Dan Pei, Li Su, Depeng Jin IEEE TNSM (IEEE Transactions on Network and Service Management)
Collaborative Learning of Human Behavior: An Empirical Study on Location Prediction Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei SEC 2019 (The Fourth ACM/IEEE Symposium on Edge Computing), Washington DC, November 7-9, 2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei RecSys 2019, Copenhagen, Denmark, September 16-20, 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 IJCAI 2019, Macao, China, August 10-16 2019.
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, Dan Pei* KDD 2019, Anchorage, Alaska, USA, August 4 – 8 2019 (CCF A)
Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection Nengwen Zhao, Jing Zhu , Yao Wang, Minghua Ma, Wenchi Zhang, Dapeng Liu, Ming Zhang, Dan Pei IEEE TNSM (IEEE Transactions on Network and Service Management), 2019, Volume: 16 , Issue: 3 , Sept. 2019, Page(s): 1170 – 1183
CoFlux: Robustly Correlating KPIs by Fluctuations for Service Troubleshooting Ya Su, Youjian Zhao, Wentao Xia, Rong Liu, Jiabao Bu, Jing Zhu, Yuanpu Cao, Haibin Li, Chenhao Niu, Yiyin Zhang, Zhaogang Wang, Dan Pei IWQOS 2019, Phoenix, Arizona, USA, June 24-25 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, Xitong Liu, Shuai Yang, Dan Pei ICME 2019, Shanghai, China, July 8-12, 2019
Dynamic TCP Initial Windows and Congestion Control Schemes through Reinforcement Learning Xiaohui Nie, Youjian Zhao, Zhihan li, Guo Chen, Kaixin Sui, Jiyang Zhang, Zijie Ye, Dan Pei JSAC 2019, Artificial Intelligence and Machine Learning for Networking and Communications
Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE Wenxiao Chen, Haowen Xu, Zeyan Li, Dan Pei, Jie Chen, Hong Lin, Yang Feng, Zhaogang Wang INFOCOM 2019, Paris, France, April 29-May 2, 2019.
Label-Less: A Semi-automatic Labelling Tool for KPI Anomalies Nengwen Zhao, Jing Zhu, Rong Liu, Dapeng Liu, Ming Zhang, Dan Pei INFOCOM 2019, Paris, France, April 29 – May 2, 2019.
基于聚类的多维数据热点发现算法 邹磊，朱晶，聂晓辉，苏亚 ，裴丹，孙宇 小型微型计算机系统，465-471 页，第40卷，第3期， 2019年3月
一种无监督的数据库用户行为异常检测方法 李海斌，李 琦，汤汝鸣，吴 珺，吕志远，裴 丹，史俊杰，董 旭，房双德，杨一飞，吴 烨 小型微型计算机系统，第39卷，第11期，2018年11月
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 IPCCC 2018, Orlando, Florida, USA, November 17-19, 2018.
The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi Guoshun Nan, Xiuquan Qiao, Jiting Wang, Zeyan Li, Jiaohao Nu, Mengyu Zhou, Changhua Pei, Dan Pei IPCCC 2018, Orlando, Florida, USA, November 17-19, 2018.
Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder Zeyan Li, Wenxiao Chen, Dan Pei IPCCC 2018, Orlando, Florida, USA, November 17-19, 2018.
Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection Minghua Ma, Shenglin Zhang, Dan Pei, Xin Huang, Hongwei Dai ISSRE 2018 Best Paper, Memphis, TN, USA, October 15-18, 2018.
The DevOps Lab Platform for Managing Diversified Projects in Educating Agile Software Engineering. Xiaoying Bai; Dan Pei; Mingjie Li; Shanshan Li 2018 IEEE Frontiers in Education Conference (FIE). San Jose, CA, Oct 3 – Oct 6, 2018.
Reducing Web Latency through Dynamically Setting TCP Initial Window with Reinforcement Learning Xiaohui Nie, Youjian Zhao, Dan Pei, Guo Chen, Kaixin Sui, Jiyang Zhang IWQoS 2018, Banff, Alberta, Canada, June 4-6, 2018.
Robust and Rapid Clustering of KPIs for Large-Scale Anomaly Detection Zhihan Li, Youjian Zhao, Rong Liu, Dan Pei IWQoS 2018, Banff, Alberta, Canada, June 4-6, 2018.
Device-Agnostic Log Anomaly Classification with Partial Labels Weibin Meng, Ying Liu, Shenglin Zhang, Dan Pei, Hui Dong, Lei Song, Xulong Luo IWQoS 2018, Banff, Alberta, Canada, June 4-6, 2018. (Short paper)
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
PreFix: Switch Failure Prediction in Datacenter Networks Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun (Jim) Xu, Yuzhi Zhang, Yu Chen, Hui Dong, Xianping Qu, Lei Song. SIGMETRICS 2018, Irvine, California, USA, June 18-22, 2018.
Continuous Delivery of Personalized Assessment and Feedback in Agile Software Engineering Projects Xiaoying Bai, Mingjie Li, Dan Pei, Shanshan Li, Deming Ye ICSE 2018 “Software Engineering Education and Training” Track. May 27 – 3 June 2018, Gothenburg, Sweden
Preventing Wi-Fi Privacy Leakage: A User Behavioral Similarity Approach Xiuping Han, Zhi Wang and Dan Pei ICC 2018, Kansas City, MO, USA, 20-24 May 2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei*, Yang Feng, Jie Chen, Zhaogang Wang and Honglin Qiao WWW 2018, Lyon, France, 23-27 April 2018 (CCF A)
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