187 citations · 467 across the 16 of their papers we have counts for
16 papers
kt-Safety: Graph Release via k-Anonymity and t-Closeness (Technical Report)
Weilong Ren, Kambiz Ghazinour, Xiang Lian
In a wide spectrum of real-world applications, it is very important to analyze and mine graph data such as social networks, communication networks, citation networks, and so on. Ho…
Learning-Based Data Storage [Vision] (Technical Report)
Xiang Lian, Xiaofei Zhang
Deep neural network (DNN) and its variants have been extensively used for a wide spectrum of real applications such as image classification, face/speech recognition, fraud detectio…
Top-k Community Similarity Search Over Large-Scale Road Networks (Technical Report)
Niranjan Rai, Xiang Lian
With the urbanization and development of infrastructure, the community search over road networks has become increasingly important in many real applications such as urban/city plan…
Probabilistic Top-k Dominating Queries in Distributed Uncertain Databases (Technical Report)
Niranjan Rai, Xiang Lian
In many real-world applications such as business planning and sensor data monitoring, one important, yet challenging, the task is to rank objects(e.g., products, documents, or spat…
Online Topic-Aware Entity Resolution Over Incomplete Data Streams (Technical Report)
Weilong Ren, Xiang Lian, Kambiz Ghazinour
In many real applications such as the data integration, social network analysis, and the Semantic Web, the entity resolution (ER) is an important and fundamental problem, which ide…
Topic-based Community Search over Spatial-Social Networks (Technical Report)
Ahmed Al-Baghdadi, Xiang Lian
Recently, the community search problem has attracted significant attention, due to its wide spectrum of real-world applications such as event organization, friend recommendation, a…
Efficient Path Routing Over Road Networks in the Presence of Ad-Hoc Obstacles (Technical Report)
Ahmed Al-Baghdadi, Xiang Lian, En Cheng
Nowadays, the path routing over road networks has become increasingly important, yet challenging, in many real-world applications such as location-based services (LBS), logistics a…
Skyline Queries Over Incomplete Data Streams (Technical Report)
Weilong Ren, Xiang Lian, Kambiz Ghazinour
Nowadays, efficient and effective processing over massive stream data has attracted much attention from the database community, which are useful in many real applications such as s…
Efficient Join Processing Over Incomplete Data Streams (Technical Report)
Weilong Ren, Xiang Lian, Kambiz Ghazinour
For decades, the join operator over fast data streams has always drawn much attention from the database community, due to its wide spectrum of real-world applications, such as onli…
A Comparative Study of Consistent Snapshot Algorithms for Main-Memory Database Systems
Liang Li, Guoren Wang, Gang Wu +3
In-memory databases (IMDBs) are gaining increasing popularity in big data applications, where clients commit updates intensively. Specifically, it is necessary for IMDBs to have ef…
On Efficiently Detecting Overlapping Communities over Distributed Dynamic Graphs
Xun Jian, Xiang Lian, Lei Chen
Modern networks are of huge sizes as well as high dynamics, which challenges the efficiency of community detection algorithms. In this paper, we study the problem of overlapping co…
An Efficient Probabilistic Approach for Graph Similarity Search
Zijian Li, Xun Jian, Xiang Lian +1
Graph similarity search is a common and fundamental operation in graph databases. One of the most popular graph similarity measures is the Graph Edit Distance (GED) mainly because…
FROG: A Fast and Reliable Crowdsourcing Framework (Technical Report)
Peng Cheng, Xiang Lian, Xun Jian +1
For decades, the crowdsourcing has gained much attention from both academia and industry, which outsources a number of tasks to human workers. Existing works considered improving t…
Prediction-Based Task Assignment in Spatial Crowdsourcing (Technical Report)
Peng Cheng, Xiang Lian, Lei Chen +1
Spatial crowdsourcing refers to a system that periodically assigns a number of location-based workers with spatial tasks nearby (e.g., taking photos or videos at some spatial locat…
Task Assignment on Multi-Skill Oriented Spatial Crowdsourcing
Peng Cheng, Xiang Lian, Lei Chen +2
With the rapid development of mobile devices and crowdsourcing platforms, the spatial crowdsourcing has attracted much attention from the database community. Specifically, the spat…
Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers
Peng Cheng, Xiang Lian, Zhao Chen +4
With the rapid development of mobile devices and the crowdsourcig platforms, the spatial crowdsourcing has attracted much attention from the database community, specifically, spati…