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Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data

IEEE transactions on visualization and computer graphics, 2018-01, Vol.24 (1), p.23-33

2018

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Tracking and Analyzing Individual Distress Following Terrorist Attacks Using Social Media Streams

Risk analysis, 2017-08, Vol.37 (8), p.1580-1605

2017

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Micro- and macro-level churn analysis of large-scale mobile games

Knowledge and information systems, 2020-04, Vol.62 (4), p.1465-1496

2020

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

Computer communications, 2016-01, Vol.73, p.301-314

2016

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Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN

IEEE transactions on computers, 2022-04, Vol.71 (4), p.892-905

2022

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Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.3220-3230

2021

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Event Analytics via Discriminant Tensor Factorization

ACM transactions on knowledge discovery from data, 2018-12, Vol.12 (6), p.1-38

2018

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AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment

2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), 2023, p.13-23

2023

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Algorithms, Applications and Systems towards Interpretable Pattern Mining from Multi-Aspect Data

Wen, Xidao

2019

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Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data

2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE), 2022, p.366-377

2022

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Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems

2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE), 2021, p.91-102

2021

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Quantifying Content Polarization on Twitter

2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC), 2017, p.299-308

2017

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Mining Fluctuation Propagation Graph Among Time Series with Active Learning

Database and Expert Systems Applications, p.220-233

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The Dynamics of Group Risk Perception in the US After Paris Attacks

Social Informatics, p.168-184

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The Roles of Information Seeking Dynamics in Sustaining the Community Participation

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC), 2016, p.357-362

2016

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An empirical investigation of practical log anomaly detection for online service systems

Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021, p.1404-1415

2021

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Sensing Distress Following a Terrorist Event

Social, Cultural, and Behavioral Modeling, p.377-388

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A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games

2018 IEEE International Conference on Data Mining (ICDM), 2018, p.277-286

2018

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Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient

2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 2024, p.1-10

2024

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Real-Time Streaming Graph Embedding Through Local Actions

Companion Proceedings of The 2019 World Wide Web Conference, 2019, p.285-293

2019

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Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems

Proceedings of the ACM Web Conference 2024, 2024, p.2859-2869

2024

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Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024, p.6190-6201

2024

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PairFac: Event Analytics through Discriminant Tensor Factorization

Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016, p.519-528

2016

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FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns

2019 IEEE Visualization Conference (VIS), 2019, p.1-5

2019

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How groups of people interact with each other on Twitter during academic conferences

Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing, 2014, p.253-256

2014

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Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data

Tracking and Analyzing Individual Distress Following Terrorist Attacks Using Social Media Streams

Micro- and macro-level churn analysis of large-scale mobile games

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

Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN

Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

Event Analytics via Discriminant Tensor Factorization

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment

Algorithms, Applications and Systems towards Interpretable Pattern Mining from Multi-Aspect Data

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data

Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems

Quantifying Content Polarization on Twitter

Mining Fluctuation Propagation Graph Among Time Series with Active Learning

The Dynamics of Group Risk Perception in the US After Paris Attacks

The Roles of Information Seeking Dynamics in Sustaining the Community Participation

An empirical investigation of practical log anomaly detection for online service systems

Sensing Distress Following a Terrorist Event

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games

Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient

Real-Time Streaming Graph Embedding Through Local Actions

Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer

PairFac: Event Analytics through Discriminant Tensor Factorization

FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns

How groups of people interact with each other on Twitter during academic conferences

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