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2020 – today
- 2024
[c24]Yongqian Sun, Yang Guo, Minghan Liang, Xidao Wen, Junhua Kuang, Shenglin Zhang, Hongbo Li, Kaixu Xia, Dan Pei:
Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism. ISSRE (Workshops) 2024: 73-78- [c23]Guanglei He, Xiaohui Nie, Ruming Tang, Kun Wang, Zhaoyang Yu, Xidao Wen, Kanglin Yin, Dan Pei:
Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient. IWQoS 2024: 1-10 - [c22]Zhaoyang Yu
, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei:
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. KDD 2024: 6190-6201 - [c21]Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei:
Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems. WWW 2024: 2859-2869 - [i7]Zhe Xie, Zeyan Li, Xiao He, Longlong Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Rui Shi, Dan Pei:
ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning. CoRR abs/2412.03104 (2024) - 2023
- [c20]Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei:
AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. ISSRE 2023: 13-23 - [i6]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:
OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models. CoRR abs/2310.07637 (2023) - 2022
- [j5]Ya Su, Youjian Zhao, Ming Sun, Shenglin Zhang, Xidao Wen, Yongsu Zhang, Xian Liu, Xiaozhou Liu, Junliang Tang, Wenfei Wu, Dan Pei:
Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN. IEEE Trans. Computers 71(4): 892-905 (2022) - [c19]Mingjie Li, Minghua Ma, Xiaohui Nie, Kanglin Yin, Li Cao, Xidao Wen, Zhiyun Yuan, Duogang Wu, Guoying Li, Wei Liu, Xin Yang, Dan Pei:
Mining Fluctuation Propagation Graph Among Time Series with Active Learning. DEXA (1) 2022: 220-233 - [c18]Xuanrun Wang, Kanglin Yin, Qianyu Ouyang, Xidao Wen, Shenglin Zhang, Wenchi Zhang, Li Cao, Jiuxue Han, Xing Jin, Dan Pei:
Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data. ISSRE 2022: 366-377 - [i5]Zeyan Li, Nengwen Zhao, Shenglin Zhang, Yongqian Sun, Pengfei Chen, Xidao Wen, Minghua Ma, Dan Pei:
Constructing Large-Scale Real-World Benchmark Datasets for AIOps. CoRR abs/2208.03938 (2022) - 2021
- [c17]Canhua Wu, Nengwen Zhao, Lixin Wang, Xiaoqin Yang, Shining Li, Ming Zhang, Xing Jin, Xidao Wen, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei:
Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems. ISSRE 2021: 91-102 - [c16]Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei:
Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding. KDD 2021: 3220-3230 - [c15]Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Zhu Pan, Yong Wu, Zhen Feng, Xidao Wen, Wenchi Zhang, Kaixin Sui, Dan Pei:
An empirical investigation of practical log anomaly detection for online service systems. ESEC/SIGSOFT FSE 2021: 1404-1415 - 2020
- [j4]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and macro-level churn analysis of large-scale mobile games. Knowl. Inf. Syst. 62(4): 1465-1496 (2020)
2010 – 2019
- 2019
- [c14]Xidao Wen, Konstantinos Pelechrinis, Yu-Ru Lin, Xi Liu, Yongsu Ahn, Nan Cao:
FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns. IEEE VIS (Short Papers) 2019: 76-80 - [c13]Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen:
Real-Time Streaming Graph Embedding Through Local Actions. WWW (Companion Volume) 2019: 285-293 - [c12]Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda:
Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses. WWW 2019: 2068-2079 - [i4]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. CoRR abs/1901.06247 (2019) - 2018
- [j3]Xidao Wen, Yu-Ru Lin, Konstantinos Pelechrinis:
Event Analytics via Discriminant Tensor Factorization. ACM Trans. Knowl. Discov. Data 12(6): 72:1-72:38 (2018) - [j2]Nan Cao, Chaoguang Lin, Qiuhan Zhu, Yu-Ru Lin, Xian Teng, Xidao Wen:
Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data. IEEE Trans. Vis. Comput. Graph. 24(1): 23-33 (2018) - [c11]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. ICDM 2018: 277-286 - [i3]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. CoRR abs/1808.06573 (2018) - [i2]Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen:
Streaming Network Embedding through Local Actions. CoRR abs/1811.05932 (2018) - 2017
- [c10]Xian Teng, Yu-Ru Lin, Xidao Wen:
Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning. CIKM 2017: 827-836 - [c9]Muheng Yan, Xidao Wen, Yu-Ru Lin, Lingjia Deng:
Quantifying Content Polarization on Twitter. CIC 2017: 299-308 - 2016
- [j1]Denis Parra, Christoph Trattner, Diego Gómez, Matías Hurtado, Xidao Wen, Yu-Ru Lin:
Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences. Comput. Commun. 73: 301-314 (2016) - [c8]Xidao Wen, Yu-Ru Lin, Konstantinos Pelechrinis:
PairFac: Event Analytics through Discriminant Tensor Factorization. CIKM 2016: 519-528 - [c7]Xidao Wen, Di Lu, Yu-Ru Lin, Claudia López:
The Roles of Information Seeking Dynamics in Sustaining the Community Participation. CIC 2016: 357-362 - [c6]Xidao Wen, Yu-Ru Lin:
Sensing Distress Following a Terrorist Event. SBP-BRiMS 2016: 377-388 - [c5]Wen-Ting Chung, Kai Wei, Yu-Ru Lin, Xidao Wen:
The Dynamics of Group Risk Perception in the US After Paris Attacks. SocInfo (1) 2016: 168-184 - 2015
- [c4]Xidao Wen, Yu-Ru Lin:
Information Seeking and Responding Networks in Physical Gatherings: A Case Study of Academic Conferences in Twitter. COSN 2015: 197-208 - 2014
- [c3]Xidao Wen, Denis Parra, Christoph Trattner:
How groups of people interact with each other on Twitter during academic conferences. CSCW Companion 2014: 253-256 - [c2]Xidao Wen, Yu-Ru Lin, Christoph Trattner, Denis Parra:
Twitter in academic conferences: usage, networking and participation over time. HT 2014: 285-290 - [c1]Christoph Trattner, Denis Parra, Lukas Eberhard, Xidao Wen:
Who will trade with whom?: predicting buyer-seller interactions in online trading platforms through social networks. WWW (Companion Volume) 2014: 387-388 - [i1]Xidao Wen, Yu-Ru Lin, Christoph Trattner, Denis Parra:
Twitter in Academic Conferences: Usage, Networking and Participation over Time. CoRR abs/1403.7772 (2014)
Coauthor Index
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