612 citations · 691 across the 18 of their papers we have counts for
7 papers · 1 filter
Approximate Nearest Neighbor Search with Graph Range Filters
Qian Tao, Yuntao Jiang, Yongxin Tong +1
Vector databases have become a fundamental component for high-dimensional vector retrieval in artificial intelligence applications. Recent research has focused on filtered approxim…
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search
Zekai Wu, Jiabao Jin, Peng Cheng +7
As the state-of-the-art methods for high-dimensional data retrieval, Approximate Nearest Neighbor Search (ANNS) approaches with graph-based indexes have attracted increasing attent…
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment
Shuyue Wei, Yongxin Tong, Zimu Zhou +4
Online real estate platforms are gaining increasing popularity, where a central issue is to match brokers with clients for potential housing transactions. Mainstream platforms matc…
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates
Chen Jason Zhang, Lei Chen, H. V. Jagadish +2
Schema matching is a central challenge for data integration systems. Inspired by the popularity and the success of crowdsourcing platforms, we explore the use of crowdsourcing to r…
Mining Frequent Itemsets over Uncertain Databases
Yongxin Tong, Lei Chen, Yurong Cheng +1
In recent years, due to the wide applications of uncertain data, mining frequent itemsets over uncertain databases has attracted much attention. In uncertain databases, the support…
Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services
Caleb Chen Cao, Jieying She, Yongxin Tong +1
It is universal to see people obtain knowledge on micro-blog services by asking others decision making questions. In this paper, we study the Jury Selection Problem(JSP) by utilizi…
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Yongxin Tong, Li Zhao, Dan Yu +2
Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been p…