87 citations · 97 across the 5 of their papers we have counts for
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cs.LG2023
Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection
Zhenwei Zhang, Ruiqi Wang, Ran Ding +1
Traditional Time-series Anomaly Detection (TAD) methods often struggle with the composite nature of complex time-series data and a diverse array of anomalies. We introduce TADNet,…
cs.LG2023★ 87 cited
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
Zhenwei Zhang, Linghang Meng, Yuantao Gu
In the burgeoning ecosystem of Internet of Things, multivariate time series (MTS) data has become ubiquitous, highlighting the fundamental role of time series forecasting across nu…
cs.LG2023★ 10 cited
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting
Zhenwei Zhang, Xin Wang, Jingyuan Xie +2
Unlocking the potential of deep learning in Peak-Hour Series Forecasting (PHSF) remains a critical yet underexplored task in various domains. While state-of-the-art deep learning m…