Xidao Wen

According to our database, Xidao Wen authored at least 32 papers between 2014 and 2024.

Collaborative distances:

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

2024

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

Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei

Proceedings of the ACM on Web Conference 2024, 2024

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer.

Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei

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.

Guanglei He, Xiaohui Nie, Ruming Tang, Kun Wang, Zhaoyang Yu, Xidao Wen, Kanglin Yin, Dan Pei

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism.

Yongqian Sun, Yang Guo, Minghan Liang, Xidao Wen, Junhua Kuang, Shenglin Zhang, Hongbo Li, Kaixu Xia, Dan Pei

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2023

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

Yuhe Liu, Changhua Pei, Longlong Xu, Bohan Chen, Mingze Sun, Zhirui Zhang, Yongqian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Dan Pei

CoRR, 2023

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment.

Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei

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.

Ya Su, Youjian Zhao, Ming Sun, Shenglin Zhang, Xidao Wen, Yongsu Zhang, Xian Liu, Xiaozhou Liu, Junliang Tang, Wenfei Wu, Dan Pei

IEEE Trans. Computers, 2022

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

CoRR, 2022

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

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

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

Proceedings of the Database and Expert Systems Applications, 2022

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

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.

Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei

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.

Canhua Wu, Nengwen Zhao, Lixin Wang, Xiaoqin Yang, Shining Li, Ming Zhang, Xing Jin, Xidao Wen, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

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

Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

Knowl. Inf. Syst., 2020

2019

Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses.

Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda

Proceedings of the World Wide Web Conference, 2019

Real-Time Streaming Graph Embedding Through Local Actions.

Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns.

Xidao Wen, Konstantinos Pelechrinis, Yu-Ru Lin, Xi Liu, Yongsu Ahn, Nan Cao

Proceedings of the 30th IEEE Visualization Conference, 2019

2018

Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data.

Nan Cao, Chaoguang Lin, Qiuhan Zhu, Yu-Ru Lin, Xian Teng, Xidao Wen

IEEE Trans. Vis. Comput. Graph., 2018

Event Analytics via Discriminant Tensor Factorization.

Xidao Wen, Yu-Ru Lin, Konstantinos Pelechrinis

ACM Trans. Knowl. Discov. Data, 2018

Streaming Network Embedding through Local Actions.

Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen

CoRR, 2018

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

Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Quantifying Content Polarization on Twitter.

Muheng Yan, Xidao Wen, Yu-Ru Lin, Lingjia Deng

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.

Xian Teng, Yu-Ru Lin, Xidao Wen

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.

Denis Parra, Christoph Trattner, Diego Gómez, Matías Hurtado, Xidao Wen, Yu-Ru Lin

Comput. Commun., 2016

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

Wen-Ting Chung, Kai Wei, Yu-Ru Lin, Xidao Wen

Proceedings of the Social Informatics - 8th International Conference, 2016

Sensing Distress Following a Terrorist Event.

Xidao Wen, Yu-Ru Lin

Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016

The Roles of Information Seeking Dynamics in Sustaining the Community Participation.

Xidao Wen, Di Lu, Yu-Ru Lin, Claudia López

Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

PairFac: Event Analytics through Discriminant Tensor Factorization.

Xidao Wen, Yu-Ru Lin, Konstantinos Pelechrinis

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.

Xidao Wen, Yu-Ru Lin

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.

Christoph Trattner, Denis Parra, Lukas Eberhard, Xidao Wen

Proceedings of the 23rd International World Wide Web Conference, 2014

Twitter in academic conferences: usage, networking and participation over time.

Xidao Wen, Yu-Ru Lin, Christoph Trattner, Denis Parra

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.

Xidao Wen, Denis Parra, Christoph Trattner

Proceedings of the Computer Supported Cooperative Work, 2014