Xidao Wen

Orcid: 0000-0003-0527-947X

According to our database1, Xidao Wen authored at least 31 papers between 2014 and 2024.

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Bibliography

2024
Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

2023
OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models.
CoRR, 2023

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

2022
Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN.
IEEE Trans. Computers, 2022

Constructing Large-Scale Real-World Benchmark Datasets for AIOps.
CoRR, 2022

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Mining Fluctuation Propagation Graph Among Time Series with Active Learning.
Proceedings of the Database and Expert Systems Applications, 2022

2021
An empirical investigation of practical log anomaly detection for online service systems.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020
Micro- and macro-level churn analysis of large-scale mobile games.
Knowl. Inf. Syst., 2020

2019
Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses.
Proceedings of the World Wide Web Conference, 2019

Real-Time Streaming Graph Embedding Through Local Actions.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns.
Proceedings of the 30th IEEE Visualization Conference, 2019

2018
Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data.
IEEE Trans. Vis. Comput. Graph., 2018

Event Analytics via Discriminant Tensor Factorization.
ACM Trans. Knowl. Discov. Data, 2018

Streaming Network Embedding through Local Actions.
CoRR, 2018

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Quantifying Content Polarization on Twitter.
Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences.
Comput. Commun., 2016

The Dynamics of Group Risk Perception in the US After Paris Attacks.
Proceedings of the Social Informatics - 8th International Conference, 2016

Sensing Distress Following a Terrorist Event.
Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016

The Roles of Information Seeking Dynamics in Sustaining the Community Participation.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

PairFac: Event Analytics through Discriminant Tensor Factorization.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Information Seeking and Responding Networks in Physical Gatherings: A Case Study of Academic Conferences in Twitter.
Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

2014
Who will trade with whom?: predicting buyer-seller interactions in online trading platforms through social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Twitter in academic conferences: usage, networking and participation over time.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

How groups of people interact with each other on Twitter during academic conferences.
Proceedings of the Computer Supported Cooperative Work, 2014


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