1 code implementation • 4 Apr 2023 • Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li
Extensive experiments on real-world benchmark datasets for downstream time series anomaly detection and forecasting tasks demonstrate that OneShotSTL is from 10 to over 1, 000 times faster than the state-of-the-art methods, while still providing comparable or even better accuracy.
no code implementations • 10 Mar 2023 • Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui
To tune different components for DBMS, a coordinating mechanism is needed to make the multiple agents cognizant of each other.
no code implementations • 28 Jan 2023 • Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui
Template mining is one of the foundational tasks to support log analysis, which supports the diagnosis and troubleshooting of large scale Web applications.
no code implementations • 5 May 2022 • Zhi Qi, Hong Xie, Ye Li, Jian Tan, Feifei Li, John C. S. Lui
LPC-AD is motivated by the ever-increasing needs for fast and accurate MTS anomaly detection methods to support fast troubleshooting in cloud computing, micro-service systems, etc.
1 code implementation • NeurIPS 2021 • Jian Tan, Niv Nayman, Mengchang Wang
These virtual points, along with the means and variances of their unknown function values estimated using the simple kernel of the first stage, are fitted to a more sophisticated kernel model in the second stage.
no code implementations • 13 Oct 2020 • Xingyu Zhou, Jian Tan
Motivated by the increasing concern about privacy in nowadays data-intensive online learning systems, we consider a black-box optimization in the nonparametric Gaussian process setting with local differential privacy (LDP) guarantee.
1 code implementation • 10 Jun 2019 • Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan
Extracting the underlying trend signal is a crucial step to facilitate time series analysis like forecasting and anomaly detection.
no code implementations • 16 Feb 2018 • Kaiyi Ji, Jian Tan, Jinfeng Xu, Yuejie Chi
Low-rank matrix completion has achieved great success in many real-world data applications.