Xu Zhang

Orcid: 0009-0006-3185-035X

Affiliations:
  • Microsoft Research


According to our database1, Xu Zhang authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
UFO: A UI-Focused Agent for Windows OS Interaction.
CoRR, 2024

UniLog: Automatic Logging via LLM and In-Context Learning.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
TaskWeaver: A Code-First Agent Framework.
CoRR, 2023

STEAM: Observability-Preserving Trace Sampling.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CONAN: Diagnosing Batch Failures for Cloud Systems.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.
ACM SIGOPS Oper. Syst. Rev., 2022

UniParser: A Unified Log Parser for Heterogeneous Log Data.
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.
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.
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.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Onion: identifying incident-indicating logs for cloud systems.
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.
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.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System.
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.
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.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
Super Interaction Neural Network.
CoRR, 2019

Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning.
CoRR, 2019

Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning.
CoRR, 2019

Cross-dataset Time Series Anomaly Detection for Cloud Systems.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Robust log-based anomaly detection on unstable log data.
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.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017
Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


  Loading...