| Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding Z Li, Y Zhao, J Han, Y Su, R Jiao, X Wen, D Pei Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 145 | 2021 |
| Voila: Visual anomaly detection and monitoring with streaming spatiotemporal data N Cao, C Lin, Q Zhu, YR Lin, X Teng, X Wen IEEE transactions on visualization and computer graphics 24 (1), 23-33, 2017 | 125 | 2017 |
| Twitter in academic events: a study of temporal usage, communication, sentimental and topical patterns in 16 computer science conferences D Parra, C Trattner, D Gómez, M Hurtado, X Wen, YR Lin Computer Communications 73, 301-314, 2016 | 68 | 2016 |
| Tracking and analyzing individual distress following terrorist attacks using social media streams YR Lin, D Margolin, X Wen Risk analysis 37 (8), 1580-1605, 2017 | 49 | 2017 |
| A semi-supervised and inductive embedding model for churn prediction of large-scale mobile games X Liu, M Xie, X Wen, R Chen, Y Ge, N Duffield, N Wang 2018 ieee international conference on data mining (icdm), 277-286, 2018 | 47 | 2018 |
| An empirical investigation of practical log anomaly detection for online service systems N Zhao, H Wang, Z Li, X Peng, G Wang, Z Pan, Y Wu, Z Feng, X Wen, ... Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 46 | 2021 |
| Ya Su, Rui Jiao, Xidao Wen, and Dan Pei. 2021. Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding Z Li, Y Zhao, J Han Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 43 | 2021 |
| Twitter in academic conferences: Usage, networking and participation over time X Wen, YR Lin, C Trattner, D Parra Proceedings of the 25th ACM conference on Hypertext and social media, 285-290, 2014 | 42 | 2014 |
| Quantifying content polarization on twitter M Yang, X Wen, YR Lin, L Deng 2017 IEEE 3rd international conference on collaboration and internet …, 2017 | 34 | 2017 |
| Detecting outlier machine instances through gaussian mixture variational autoencoder with one dimensional cnn Y Su, Y Zhao, M Sun, S Zhang, X Wen, Y Zhang, X Liu, X Liu, J Tang, ... IEEE Transactions on Computers 71 (4), 892-905, 2021 | 31 | 2021 |
| Anomaly detection in dynamic networks using multi-view time-series hypersphere learning X Teng, YR Lin, X Wen Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 30 | 2017 |
| Real-time streaming graph embedding through local actions X Liu, PC Hsieh, N Duffield, R Chen, M Xie, X Wen Companion proceedings of the 2019 world wide web conference, 285-293, 2019 | 29 | 2019 |
| Micro-and macro-level churn analysis of large-scale mobile games X Liu, M Xie, X Wen, R Chen, Y Ge, N Duffield, N Wang Knowledge and Information Systems 62, 1465-1496, 2020 | 25 | 2020 |
| Identifying root-cause metrics for incident diagnosis in online service systems C Wu, N Zhao, L Wang, X Yang, S Li, M Zhang, X Jin, X Wen, X Nie, ... 2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021 | 19 | 2021 |
| How groups of people interact with each other on twitter during academic conferences X Wen, D Parra, C Trattner Proceedings of the companion publication of the 17th ACM conference on …, 2014 | 15 | 2014 |
| Pairfac: Event analytics through discriminant tensor factorization X Wen, YR Lin, K Pelechrinis Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 12 | 2016 |
| Who will trade with whom? Predicting buyer-seller interactions in online trading platforms through social networks C Trattner, D Parra, L Eberhard, X Wen Proceedings of the 23rd International Conference on World Wide Web, 387-388, 2014 | 12 | 2014 |
| Constructing large-scale real-world benchmark datasets for aiops Z Li, N Zhao, S Zhang, Y Sun, P Chen, X Wen, M Ma, D Pei arXiv preprint arXiv:2208.03938, 2022 | 11 | 2022 |
| Sensing distress following a terrorist event X Wen, YR Lin Social, Cultural, and Behavioral Modeling: 9th International Conference, SBP …, 2016 | 11 | 2016 |
| Identifying erroneous software changes through self-supervised contrastive learning on time series data X Wang, K Yin, Q Ouyang, X Wen, S Zhang, W Zhang, L Cao, J Han, X Jin, ... 2022 IEEE 33rd International Symposium on Software Reliability Engineering …, 2022 | 10 | 2022 |
yu-ru linUniversity of PittsburghVerified email at pitt.edu
