activity
20182021
most citedQuery-by-Sketch: Scaling Shortest Path Graph Queries on Very Large Networks

23 citations · 25 across the 3 of their papers we have counts for

collaborators

6 papers

cs.DB202123 cited

Query-by-Sketch: Scaling Shortest Path Graph Queries on Very Large Networks

Ye Wang, Qing Wang, Henning Koehler +1

Computing shortest paths is a fundamental operation in processing graph data. In many real-world applications, discovering shortest paths between two vertices empowers us to make f…

cs.DS20212 cited

Efficient Maintenance of Distance Labelling for Incremental Updates in Large Dynamic Graphs

Muhammad Farhan, Qing Wang

Finding the shortest path distance between an arbitrary pair of vertices is a fundamental problem in graph theory. A tremendous amount of research has been successfully attempted o…

cs.LG2020

ErGAN: Generative Adversarial Networks for Entity Resolution

Jingyu Shao, Qing Wang, Asiri Wijesinghe +1

Entity resolution targets at identifying records that represent the same real-world entity from one or more datasets. A major challenge in learning-based entity resolution is how t…

cs.DS2018

A Highly Scalable Labelling Approach for Exact Distance Queries in Complex Networks

Muhammad Farhan, Qing Wang, Yu Lin +1

Answering exact shortest path distance queries is a fundamental task in graph theory. Despite a tremendous amount of research on the subject, there is still no satisfactory solutio…

cs.DB2018

Developing a Temporal Bibliographic Data Set for Entity Resolution

Yichen Hu, Qing Wang, Peter Christen

Entity resolution is the process of identifying groups of records within or across data sets where each group represents a real-world entity. Novel techniques that consider tempora…

cs.DB2018

Skyblocking for Entity Resolution

Jingyu Shao, Qing Wang, Yu Lin

In this paper, for the first time, we introduce the concept of skyblocking, which aims to efficiently identify the "most preferred" blocking scheme in terms of a given set of selec…