7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 3 cited
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
Jing Ren, Mingliang Hou, Zhixuan Liu +1
Graph anomaly detection is a popular and vital task in various real-world scenarios, which has been studied for several decades. Recently, many studies extending deep learning-base…
cs.LG2024★ 7 cited
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach
Xin Chen, Mingliang Hou, Tao Tang +2
With the arrival of the big data era, mobility profiling has become a viable method of utilizing enormous amounts of mobility data to create an intelligent transportation system. M…
cs.LG2023★ 1 cited
Coupled Attention Networks for Multivariate Time Series Anomaly Detection
Feng Xia, Xin Chen, Shuo Yu +3
Multivariate time series anomaly detection (MTAD) plays a vital role in a wide variety of real-world application domains. Over the past few years, MTAD has attracted rapidly increa…