Search Results for author: Zhihan Li

Found 7 papers, 4 papers with code

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

9 code implementations12 Feb 2018 Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao

To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e. g., Page Views, number of online users, and number of orders) of its Web applications, to accurately detect anomalies and trigger timely troubleshooting/mitigation.

Unsupervised Anomaly Detection

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

1 code implementation5 Feb 2024 Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, QIngwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie

To ensure an accurate AD, FCVAE exploits an innovative approach to concurrently integrate both the global and local frequency features into the condition of Conditional Variational Autoencoder (CVAE) to significantly increase the accuracy of reconstructing the normal data.

Anomaly Detection Time Series +1

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection

1 code implementation17 Aug 2023 Haotian Si, Changhua Pei, Zhihan Li, Yadong Zhao, Jingjing Li, Haiming Zhang, Zulong Diao, Jianhui Li, Gaogang Xie, Dan Pei

Massive key performance indicators (KPIs) are monitored as multivariate time series data (MTS) to ensure the reliability of the software applications and service system.

Anomaly Detection Multi-Task Learning +3

Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance

no code implementations6 Mar 2023 Bixing Yan, Shaoling Chen, Yuxuan He, Zhihan Li

Our contribution includes: 1. we explore the performance of MAML method with multiple types of tasks: GLUE datasets, SNLI, Sci-Tail and Financial PhraseBank; 2. we study the performance of MAML method with multiple single-type tasks: a real scenario stock price prediction problem with twitter text data.

Language Modelling Meta-Learning +3

Cannot find the paper you are looking for? You can Submit a new open access paper.