Xin Huang

Orcid: 0000-0002-3650-0301

Affiliations:
  • Hong Kong Baptist University, Hong Kong (since 2016)
  • University of British Columbia, Canada (former)
  • Chinese University of Hong Kong, Hong Kong (former)


According to our database1, Xin Huang authored at least 90 papers between 2012 and 2024.

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Bibliography

2024
Community Detection via Multihop Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks.
Proc. VLDB Endow., July, 2024

Fairness-Guaranteed Task Assignment for Crowdsourced Mobility Services.
IEEE Trans. Mob. Comput., May, 2024

DKWS: A Distributed System for Keyword Search on Massive Graphs.
IEEE Trans. Knowl. Data Eng., May, 2024

Truss-based Community Search over Streaming Directed Graphs.
Proc. VLDB Endow., April, 2024

Community Detection via Autoencoder-Like Nonnegative Tensor Decomposition.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Utility-Aware Dynamic Ridesharing in Spatial Crowdsourcing.
IEEE Trans. Mob. Comput., February, 2024

Joint Domain Adaptive Graph Convolutional Network.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Efficient Cross-layer Community Search in Large Multilayer Graphs.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Differentially Private Graph Neural Networks for Link Prediction.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Fast Multilayer Core Decomposition and Indexing.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

DKWS: A Distributed System for Keyword Search on Massive Graphs (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Continuous Geo-Social Group Monitoring in Dynamic LBSNs.
IEEE Trans. Knowl. Data Eng., August, 2023

Nonnegative Matrix Factorization Based on Node Centrality for Community Detection.
ACM Trans. Knowl. Discov. Data, July, 2023

Efficient Adaptive Matching for Real-Time City Express Delivery.
IEEE Trans. Knowl. Data Eng., June, 2023

Exploiting node-feature bipartite graph in graph convolutional networks.
Inf. Sci., May, 2023

Efficient and Optimal Algorithms for Tree Summarization With Weighted Terminologies.
IEEE Trans. Knowl. Data Eng., March, 2023

Community-Aware Social Recommendation: A Unified SCSVD Framework.
IEEE Trans. Knowl. Data Eng., March, 2023

A Novel Graph Indexing Approach for Uncovering Potential COVID-19 Transmission Clusters.
ACM Trans. Knowl. Discov. Data, February, 2023

Efficient Star-based Truss Maintenance on Dynamic Graphs.
Proc. ACM Manag. Data, 2023

DKWS: A Distributed System for Keyword Search on Massive Graphs (Complete Version).
CoRR, 2023

Keyword-based Socially Tenuous Group Queries.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Distributed (α, β)-Core Decomposition over Bipartite Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Database Dependent Framework for K-Input Maximum Fanout-Free Window Rewriting.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Index-Based Intimate-Core Community Search in Large Weighted Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Truss-Based Structural Diversity Search in Large Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Mining Stable Communities in Temporal Networks by Density-Based Clustering.
IEEE Trans. Big Data, 2022

Fast Algorithms for Core Maximization on Large Graphs.
Proc. VLDB Endow., 2022

Distributed D-core Decomposition over Large Directed Graphs.
Proc. VLDB Endow., 2022

Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed.
Proc. VLDB Endow., 2022

Continuous Geo-Social Group Monitoring over Moving Users.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Community-aware Social Recommendation: A Unified SCSVD Framework (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Parallel algorithms for parameter-free structural diversity search on graphs.
World Wide Web, 2021

Guest editorial: WWWJ special issue of the 20th international conference on Web information systems engineering (WISE 2019).
World Wide Web, 2021

I/O efficient k-truss community search in massive graphs.
VLDB J., 2021

Budget Constrained Interactive Search for Multiple Targets.
Proc. VLDB Endow., 2021

Local Algorithms for Distance-generalized Core Decomposition over Large Dynamic Graphs.
Proc. VLDB Endow., 2021

Butterfly-Core Community Search over Labeled Graphs.
Proc. VLDB Endow., 2021

Curbing profanity online: A network-based diffusion analysis of profane speech on Chinese social media.
New Media Soc., 2021

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search.
CoRR, 2021

Efficient Probabilistic Truss Indexing on Uncertain Graphs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Truss-based Structural Diversity Search in Large Graphs (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2021 International Workshops, 2021

Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Correction: A survey of community search over big graphs.
VLDB J., 2020

A survey of community search over big graphs.
VLDB J., 2020

Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.
IEEE Trans. Knowl. Data Eng., 2020

HDAG-Explorer: A System for Hierarchical DAG Summarization and Exploration.
Proc. VLDB Endow., 2020

Editorial of Special Issue of WISE 2019.
Data Sci. Eng., 2020

Ontology-based Graph Visualization for Summarized View.
CoRR, 2020

Truss-based Community Search over Large Directed Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

VAC: Vertex-Centric Attributed Community Search.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

PPKWS: An Efficient Framework for Keyword Search on Public-Private Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

When Structure Meets Keywords: Cohesive Attributed Community Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Top-k Graph Summarization on Hierarchical DAGs.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Community Search over Big Graphs.
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01874-9, 2019

Analysis and Applications of Location-Aware Big Complex Network Data.
Complex., 2019

Fast Algorithms for Intimate-Core Group Search in Weighted Graphs.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Parameter-Free Structural Diversity Search.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Fast Algorithm for K-Truss Discovery on Public-Private Graphs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Oasis: Online Analytic System for Incivility Detection and Sentiment Classification.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Keyword-Centric Community Search.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Discovering Hierarchical Subgraphs of K-Core-Truss.
Data Sci. Eng., 2018

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

PP-DBLP: Modeling and Generating Attributed Public-Private Networks with DBLP.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

VizCS: Online Searching and Visualizing Communities in Dynamic Graphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Community Detection in Attributed Graphs: An Embedding Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
I/O-efficient algorithms for top-k nearest keyword search in massive graphs.
VLDB J., 2017

Attribute-Driven Community Search.
Proc. VLDB Endow., 2017

Discovering Hierarchical Subgraphs of K-Core-Truss.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Querying Intimate-Core Groups in Weighted Graphs.
Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

Community Search over Big Graphs: Models, Algorithms, and Opportunities.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Ontology-based Graph Visualization for Summarized View.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Mining Opinion Leaders in Big Social Network.
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017

2016
Attributed Community Analysis: Global and Ego-centric Views.
IEEE Data Eng. Bull., 2016

Attribute Truss Community Search.
CoRR, 2016

Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Approximate Closest Community Search in Networks.
Proc. VLDB Endow., 2015

Dense community detection in multi-valued attributed networks.
Inf. Sci., 2015

2014
Measuring the impact of MVC attack in large complex networks.
Inf. Sci., 2014

Querying k-truss community in large and dynamic graphs.
Proceedings of the International Conference on Management of Data, 2014

Random-walk domination in large graphs.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Top-K Structural Diversity Search in Large Networks.
Proc. VLDB Endow., 2013

Random-walk domination in large graphs: problem definitions and fast solutions
CoRR, 2013

2012
Clustering large attributed information networks: an efficient incremental computing approach.
Data Min. Knowl. Discov., 2012

A Framework of Algorithms: Computing the Bias and Prestige of Nodes in Trust Networks
CoRR, 2012

Robust Reputation-Based Ranking on Bipartite Rating Networks.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach.
Proceedings of the Database Systems for Advanced Applications, 2012

Measuring robustness of complex networks under MVC attack.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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