Xu Zhang

According to our database, Xu Zhang authored at least 23 papers between 2017 and 2023.

Collaborative distances:

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

2023

LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism.

Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems.

Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems.

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CONAN: Diagnosing Batch Failures for Cloud Systems.

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection.

Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Oper. Syst. Rev., 2022

UniParser: A Unified Log Parser for Heterogeneous Log Data.

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

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

SPINE: a scalable log parser with feedback guidance.

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin, Yingnong Dang, Saravanakumar Rajmohan, Dongmei Zhang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

An empirical study of log analysis at Microsoft.

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021

Fighting the Fog of War: Automated Incident Detection for Cloud Systems.

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Onion: identifying incident-indicating logs for cloud systems.

Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

HALO: Hierarchy-aware Fault Localization for Cloud Systems.

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining.

Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System.

Yong Xu, Xu Zhang, Chuan Luo, Si Qin, Rohit Pandey, Chao Du, Qingwei Lin, Yingnong Dang, Andrew Zhou

Proceedings of the HAOC '21: Proceedings of the 1st Workshop on High Availability and Observability of Cloud Systems, 2021

2020

Towards intelligent incident management: why we need it and how we make it.

Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

A Real-Time Pedestrian Counting System Based on RGB-D.

Yang Yao, Xu Zhang, Yu Liang, Xin Zhang, Furao Shen, Jian Zhao

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019

Super Interaction Neural Network.

Yang Yao, Xu Zhang, Baile Xu, Furao Shen, Jian Zhao

CoRR, 2019

Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning.

Xu Zhang, Yang Yao, Baile Xu, Lekun Mao, Furao Shen, Jian Zhao, Qingwei Lin

CoRR, 2019

Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning.

Yi Zhen, Hang Chen, Xu Zhang, Meng Liu, Xin Meng, Jian Zhang, Jiantao Pu

CoRR, 2019

Cross-dataset Time Series Anomaly Detection for Cloud Systems.

Xu Zhang, Qingwei Lin, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Robust log-based anomaly detection on unstable log data.

Xu Zhang, Yong Xu, Qingwei Lin, Bo Qiao, Hongyu Zhang, Yingnong Dang, Chunyu Xie, Xinsheng Yang, Qian Cheng, Ze Li, Junjie Chen, Xiaoting He, Randolph Yao, Jian-Guang Lou, Murali Chintalapati, Furao Shen, Dongmei Zhang

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Neural Feature Search: A Neural Architecture for Automated Feature Engineering.

Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017

Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition.

Xu Zhang, Furao Shen, Jinxi Zhao, GuoHai Yang

Proceedings of the Neural Information Processing - 24th International Conference, 2017