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20112024
most citedEfficient Truss Maintenance in Evolving Networks

16 citations · 35 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CR2024★ 1 cited

Transaction Fee Estimation in the Bitcoin System

Limeng Zhang, Rui Zhou, Qing Liu +2

In the Bitcoin system, transaction fees serve as an incentive for blockchain confirmations. In general, a transaction with a higher fee is likely to be included in the next block m…

cs.DB2021★ 6 cited

Searching Personalized -wing in Large and Dynamic Bipartite Graphs

Aman Abidi, Lu Chen, Rui Zhou +1

There are extensive studies focusing on the application scenario that all the bipartite cohesive subgraphs need to be discovered in a bipartite graph. However, we observe that, for…

cs.DB2020★ 1 cited

Efficiently Finding a Maximal Clique Summary via Effective Sampling

Xiaofan Li, Rui Zhou, Lu Chen +3

Maximal clique enumeration (MCE) is a fundamental problem in graph theory and is used in many applications, such as social network analysis, bioinformatics, intelligent agent syste…

cs.DS2020★ 1 cited

Efficient Exact Algorithms for Maximum Balanced Biclique Search in Bipartite Graphs

Lu Chen, Chengfei Liu, Rui Zhou +2

Given a bipartite graph, the maximum balanced biclique (\textsf{MBB}) problem, discovering a mutually connected while equal-sized disjoint sets with the maximum cardinality, plays…

cs.DB2020

Index-based Solutions for Efficient Density Peak Clustering

Zafaryab Rasool, Rui Zhou, Lu Chen +2

Density Peak Clustering (DPC), a popular density-based clustering approach, has received considerable attention from the research community primarily due to its simplicity and fewe…

cs.DB2019★ 2 cited

Finding Effective Geo-Social Group for Impromptu Activity with Multiple Demands

Lu Chen, Chengfei Liu, Rui Zhou +2

Geo-social group search aims to find a group of people proximate to a location while socially related. One of the driven applications for geo-social group search is organizing an i…

cs.CL2019★ 5 cited

Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks

Yuni Lai, Linfeng Zhang, Donghong Han +2

Microblogs are widely used to express people's opinions and feelings in daily life. Sentiment analysis (SA) can timely detect personal sentiment polarities through analyzing text.…

cs.DB2014★ 16 cited

Efficient Truss Maintenance in Evolving Networks

Rui Zhou, Chengfei Liu, Jeffrey Xu Yu +2

Truss was proposed to study social network data represented by graphs. A k-truss of a graph is a cohesive subgraph, in which each edge is contained in at least k-2 triangles within…

cs.DB2013★ 1 cited

Query-driven Frequent Co-occurring Term Extraction over Relational Data using MapReduce

Jianxin Li, Chengfei Liu, Liang Yao +2

In this paper we study how to efficiently compute \textit{frequent co-occurring terms} (FCT) in the results of a keyword query in parallel using the popular MapReduce framework. Ta…

cs.DB2013★ 2 cited

Quasi-SLCA based Keyword Query Processing over Probabilistic XML Data

Jianxin Li, Chengfei Liu, Rui Zhou +1

The probabilistic threshold query is one of the most common queries in uncertain databases, where a result satisfying the query must be also with probability meeting the threshold…

cs.DB2011

ELCA Evaluation for Keyword Search on Probabilistic XML Data

Rui Zhou, Chengfei Liu, Jianxin Li +1

As probabilistic data management is becoming one of the main research focuses and keyword search is turning into a more popular query means, it is natural to think how to support k…