Wenxin Liang

Orcid: 0000-0002-9166-3138

According to our database1, Wenxin Liang authored at least 60 papers between 2005 and 2024.

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Bibliography

2024
Self-Supervised Deep Multiview Spectral Clustering.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Online Class-incremental Continual Learning with Maximum Entropy Memory Update.
Proceedings of the International Joint Conference on Neural Networks, 2024

Boosting Node Injection Attack with Graph Local Sparsity.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Boosting Zero-Shot Node Classification via Dependency Capture and Discriminative Feature Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Video-Context Aligned Transformer for Video Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An Early Depression Detection Model on Social Media using Emotional and Causal Features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2021
Structure-guided attributed network embedding with "centroid" enhancement.
Computing, 2021

Self-supervised Graph Representation Learning with Variational Inference.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Attribute Network Alignment Based on Network Embedding.
Proceedings of the ICCDE 2021: 7th International Conference on Computing and Data Engineering, Phuket, Thailand, January 15, 2021

2020
Speed Up the Training of Neural Machine Translation.
Neural Process. Lett., 2020

2019
Influence Maximization in Signed Social Networks With Opinion Formation.
IEEE Access, 2019

One Shot Learning with Margin.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Improving Variational Auto-Encoder with Self-Attention and Mutual Information for Image Generation.
Proceedings of the ICVIP 2019: The 3rd International Conference on Video and Image Processing, 2019

A Universal Method Based on Structure Subgraph Feature for Link Prediction over Dynamic Networks.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018
Supervised ranking framework for relationship prediction in heterogeneous information networks.
Appl. Intell., 2018

GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts.
IEEE Access, 2018

2017
Discovering social spammers from multiple views.
Neurocomputing, 2017

A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Joining External Context Characters to Improve Chinese Word Embedding.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Recognize the Same Users across Multiple Online Social Networks.
Proceedings of the Recent Advances in Information and Communication Technology 2017, 2017

2016
Detecting Spam and Promoting Campaigns in Twitter.
ACM Trans. Web, 2016

A Social Spam Detection Framework via Semi-supervised Learning.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Heterogeneous Information Networks Bi-clustering with Similarity Regularization.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

S-Rank: A Supervised Ranking Framework for Relationship Prediction in Heterogeneous Information Networks.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-Factorization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Influence Maximization in Signed Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Differential Trust Propagation with Community Discovery for Link-Based Web Spam Demotion.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

High Dimensional Explicit Feature Biased Matrix Factorization Recommendation.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

A Semi-Supervised Framework for Social Spammer Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Manifold Regularized Symmetric Joint Link Model for Overlapping Community Detection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

GCM: A Greedy-Based Cross-Matching Algorithm for Identifying Users Across Multiple Online Social Networks.
Proceedings of the Intelligence and Security Informatics - Pacific Asia Workshop, 2015

UserGreedy: Exploiting the Activation Set to Solve Influence Maximization Problem.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
Propagating Both Trust and Distrust with Target Differentiation for Combating Link-Based Web Spam.
ACM Trans. Web, 2014

Multiple Feature-Sets Method for Dependency Parsing.
Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

Topical Influential User Analysis with Relationship Strength Estimation in Twitter.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

XEdge: An Efficient Method for Returning Meaningful Clustered Results for XML Keyword Search.
Proceedings of the Databases Theory and Applications, 2014

2013
Automatic seed set expansion for trust propagation based anti-spam algorithms.
Inf. Sci., 2013

2012
Guest Editorial.
J. Comput., 2012

Detecting Spam and Promoting Campaigns in the Twitter Social Network.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
A Two-Dimension XML Encoding Method based on Variable Length Binary Code.
J. Softw., 2011

Extracting Local Community Structure from Local Cores.
Proceedings of the Database Systems for Adanced Applications, 2011

Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Detection of Web Communities from Community Cores.
Proceedings of the Web Information Systems Engineering - WISE 2010 Workshops, 2010

An N-Gram-and-Wikipedia joint approach to Natural Language Identification.
Proceedings of the 4th International Universal Communication Symposium, 2010

Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation.
Proceedings of the ICDM 2010, 2010

Extracting Local Web Communities Using Lexical Similarity.
Proceedings of the Database Systems for Advanced Applications, 2010

C&C: An Effective Algorithm for Extracting Web Community Cores.
Proceedings of the Database Systems for Advanced Applications, 2010

2009
Automatic seed set expansion for trust propagation based anti-spamming algorithms.
Proceedings of the 11th ACM International Workshop on Web Information and Data Management (WIDM 2009), 2009

A Low-Storage-Consumption XML Labeling Method for Efficient Structural Information Extraction.
Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009

2008
Exploiting Path Information for Syntax-Based XML Subtree Matching in RDBs.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Superimposed Code-Based Indexing Method for Extracting MCTs from XML Documents.
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2007
Storage consumption of variable-length XML labels uninfluenced by insertions.
Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM), 2007

An XML subtree segmentation method based on syntactic segmentation rate.
Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM), 2007

2006
<i>SLAX</i>: An Improved Leaf-Clustering Based Approximate XML Join Algorithm for Integrating XML Data at Subtree Classes.
Inf. Media Technol., 2006

A Path-sequence Based Discrimination for Subtree Matching in Approximate XML Joins.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

2005
VLEI code: An Efficient Labeling Method for Handling XML Documents in an RDB.
Proceedings of the 21st International Conference on Data Engineering, 2005

LAX: An Efficient Approximate XML Join Based on Clustered Leaf Nodes for XML Data Integration.
Proceedings of the Database: Enterprise, 2005


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