9 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
Jiazhen Chen, Mingbin Feng, Tony S. Wirjanto
Anomaly detection in high-dimensional time series data is pivotal for numerous industrial applications. Recent advances in multivariate time series anomaly detection (TSAD) have in…
cs.LG2025
Towards Effective Open-set Graph Class-incremental Learning
Jiazhen Chen, Zheng Ma, Sichao Fu +3
Graph class-incremental learning (GCIL) allows graph neural networks (GNNs) to adapt to evolving graph analytical tasks by incrementally learning new class knowledge while retainin…
cs.LG2023★ 9 cited
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
Katrina Chen, Mingbin Feng, Tony S. Wirjanto
Anomalies in univariate time series often refer to abnormal values and deviations from the temporal patterns from majority of historical observations. In multivariate time series,…