2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
Buang Zhang, Tung Kieu, Xiangfei Qiu +5
Time series anomaly detection is important in modern large-scale systems and is applied in a variety of domains to analyze and monitor the operation of diverse systems. Unsupervise…
cs.LG2025★ 2 cited
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
Xiangfei Qiu, Hanyin Cheng, Xingjian Wu +5
Multivariate Time Series Forecasting (MTSF) plays a crucial role across diverse fields, ranging from economic, energy, to traffic. In recent years, deep learning has demonstrated o…
cs.DB2024
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching--Extended Version
Hao Miao, Ziqiao Liu, Yan Zhao +4
The expanding instrumentation of processes throughout society with sensors yields a proliferation of time series data that may in turn enable important applications, e.g., related…