42 citations · 99 across the 10 of their papers we have counts for
11 papers
JAPE: Joint Anomaly Prediction and Intrinsic Explanation in Multivariate Time Series
Yian Wei, Yuanyuan Yao, Lu Chen +2
Multivariate time-series anomaly prediction aims to identify whether and when anomalies will occur over a future horizon from historical observations. Existing methods primarily ch…
Moon: A Modality Conversion-based Efficient Multivariate Time Series Anomaly Detection
Yuanyuan Yao, Yuhan Shi, Lu Chen +5
Multivariate time series (MTS) anomaly detection identifies abnormal patterns where each timestamp contains multiple variables. Existing MTS anomaly detection methods fall into thr…
OneDB: A Distributed Multi-Metric Data Similarity Search System
Tang Qian, Yifan Zhu, Lu Chen +5
Increasingly massive volumes of multi-modal data are being accumulated in many {real world} settings, including in health care and e-commerce. This development calls for effective…
Real-time Workload Pattern Analysis for Large-scale Cloud Databases
Jiaqi Wang, Tianyi Li, Anni Wang +7
Hosting database services on cloud systems has become a common practice. This has led to the increasing volume of database workloads, which provides the opportunity for pattern ana…
SEA: A Scalable Entity Alignment System
Junyang Wu, Tianyi Li, Lu Chen +2
Entity alignment (EA) aims to find equivalent entities in different knowledge graphs (KGs). State-of-the-art EA approaches generally use Graph Neural Networks (GNNs) to encode enti…
Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study
Danlei Hu, Lu Chen, Hanxi Fang +3
Spatio-temporal trajectory analytics is at the core of smart mobility solutions, which offers unprecedented information for diversified applications such as urban planning, infrast…
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
Yumeng Song, Yu Gu, Tianyi Li +4
Hypergraphs can model higher-order relationships among data objects that are found in applications such as social networks and bioinformatics. However, recent studies on hypergraph…
Unsupervised Entity Alignment for Temporal Knowledge Graphs
Xiaoze Liu, Junyang Wu, Tianyi Li +2
Entity alignment (EA) is a fundamental data integration task that identifies equivalent entities between different knowledge graphs (KGs). Temporal Knowledge graphs (TKGs) extend t…
Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories
Danlei Hu, Ziquan Fang, Hanxi Fang +4
Transportation mode classification, the process of predicting the class labels of moving objects transportation modes, has been widely applied to a variety of real world applicatio…
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
Yunjun Gao, Xiaoze Liu, Junyang Wu +3
Entity alignment (EA) aims at finding equivalent entities in different knowledge graphs (KGs). Embedding-based approaches have dominated the EA task in recent years. Those methods…
Evolutionary Clustering of Streaming Trajectories
Tianyi Li, Lu Chen, Christian S. Jensen +2
The widespread deployment of smartphones and location-enabled, networked in-vehicle devices renders it increasingly feasible to collect streaming trajectory data of moving objects.…