65 citations · 84 across the 6 of their papers we have counts for
6 papers
EgoHieraLoc: A Cortically Inspired Hierarchical Segmentation-Guided Framework for Egocentric Visual Query Localization
Yifei Cao, Guolong Wang, Mingliang Hou +3
Visual query localization (VQL) aims to retrieve and re-localize a queried object in egocentric videos, yet remains challenging when object boundaries are ambiguous and global cont…
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…
Matching Algorithms: Fundamentals, Applications and Challenges
Jing Ren, Feng Xia, Xiangtai Chen +5
Matching plays a vital role in the rational allocation of resources in many areas, ranging from market operation to people's daily lives. In economics, the term matching theory is…