4 citations · 4 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2024★ 4 cited
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
Ronghui Xu, Hao Miao, Senzhang Wang +2
With the proliferation of mobile sensing techniques, huge amounts of time series data are generated and accumulated in various domains, fueling plenty of real-world applications. I…