65 citations · 84 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
Xiangjie Kong, Kailai Wang, Mingliang Hou +3
Traffic flow prediction is an integral part of an intelligent transportation system and thus fundamental for various traffic-related applications. Buses are an indispensable way of…