12 citations · 12 across the 5 of their papers we have counts for
6 papers · 1 filter
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
Qitong Wang, Themis Palpanas
A key operation for massive data series collection analysis is similarity search. According to recent studies, SAX-based indexes offer state-of-the-art performance for similarity s…
Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A Survey and Evaluation
Zeyu Wang, Haoran Xiong, Qitong Wang +4
Approximate Nearest Neighbor Search (ANNS) on high-dimensional vectors has become a fundamental and essential component in various machine learning tasks. Recently, with the rapid…
Automated Data Quality Validation in an End-to-End GNN Framework
Sijie Dong, Soror Sahri, Themis Palpanas +1
Ensuring data quality is crucial in modern data ecosystems, especially for training or testing datasets in machine learning. Existing validation approaches rely on computing data q…
LeaFi: Data Series Indexes on Steroids with Learned Filters
Qitong Wang, Ioana Ileana, Themis Palpanas
The ever-growing collections of data series create a pressing need for efficient similarity search, which serves as the backbone for various analytics pipelines. Recent studies hav…
DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity Search
Zeyu Wang, Qitong Wang, Peng Wang +2
Data series indexes are necessary for managing and analyzing the increasing amounts of data series collections that are nowadays available. These indexes support both exact and app…
-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes
Zeyu Wang, Qitong Wang, Xiaoxing Cheng +3
Graph-based indexes have been widely employed to accelerate approximate similarity search of high-dimensional vectors. However, the performance of graph indexes to answer different…