activity
20132024
most citedFine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks

5 citations · 11 across the 5 of their papers we have counts for

collaborators
Showing cs.DBShow all

5 papers · 1 filter

cs.DB2020

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.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.DB20192 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.DB20131 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.DB20132 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…