Wenxin Liang

发表

Self-supervised Graph Representation Learning with Variational Inference

Xianchao Zhang, Wenxin Liang, Han Liu, 2021, PAKDD.

Bi-clustering with Similarity Regularization

Haixin Li, Xianchao Zhang, Wenxin Liang, 2018 .

Subtree-based XML Data Integration Using Leaf-clustering Based Approximate XML Join Algorithms

Haruo Yokota, Wenxin Liang, H. Yokota, 2006 .

Extracting Local Community Structure from Local Cores

Xianchao Zhang, Liang Wang, Wenxin Liang, 2011, DASFAA Workshops.

Global Community Extraction in Social Network Analysis

Xianchao Zhang, Liang Wang, Wenxin Liang, 2013 .

Influence Maximization in Signed Social Networks With Opinion Formation

Hideyuki Takada, Ian Piumarta, Xiao Li, 2019, IEEE Access.

VLEI code: an efficient labeling method for handling XML documents in an RDB

Haruo Yokota, Wenxin Liang, Dai Kobayashi, 2005, 21st International Conference on Data Engineering (ICDE'05).

GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts

Xianchao Zhang, Ran Feng, Xinyue Liu, 2018, IEEE Access.

Improving Variational Auto-Encoder with Self-Attention and Mutual Information for Image Generation

Lizhi Lin, Xinyue Liu, Wenxin Liang, 2019, ICVIP.

A Semi-Supervised Framework for Social Spammer Detection

Zengyou He, Hua Shen, Xianchao Zhang, 2015, PAKDD.

SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model

Xianchao Zhang, Heng Shi, Wenxin Liang, 2017, PAKDD.

Supervised ranking framework for relationship prediction in heterogeneous information networks

Xiao Li, Xianchao Zhang, Xinyue Liu, 2017, Applied Intelligence.

Speed Up the Training of Neural Machine Translation

Xinyue Liu, Yuangang Li, Weixuan Wang, 2019, Neural Processing Letters.

Goal-directed Sequence Generation with Simulation Feedback Method

Hua Shen, Xinyue Liu, Wenxin Liang, 2019, 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).

Topical Influential User Analysis with Relationship Strength Estimation in Twitter

Fenglong Ma, Hua Shen, Xinyue Liu, 2014, 2014 IEEE International Conference on Data Mining Workshop.

High Dimensional Explicit Feature Biased Matrix Factorization Recommendation

Zengyou He, Xianchao Zhang, Wenxin Liang, 2015, PAKDD Workshops.

A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data

Xianchao Zhang, Han Liu, Wenxin Liang, 2017, PAKDD.

A Universal Method Based on Structure Subgraph Feature for Link Prediction over Dynamic Networks

Weili Wu, Xinyue Liu, Xiao Li, 2019, 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).

Discovering social spammers from multiple views

Fenglong Ma, Hua Shen, Xianchao Zhang, 2017, Neurocomputing.

Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation

Xianchao Zhang, Xin Han, Wenxin Liang, 2010, 2010 IEEE International Conference on Data Mining.

An N-Gram-and-Wikipedia joint approach to Natural Language Identification

Xi Yang, Wenxin Liang, Xi Yang, 2010, 2010 4th International Universal Communication Symposium.

Influence Maximization in Signed Social Networks

Hideyuki Takada, Wenxin Liang, Ryo Nishide, 2015, WISE.

Multiple Feature-Sets Method for Dependency Parsing

Dong Du, Xianchao Zhang, Xinyue Liu, 2014, 2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming.

A Social Spam Detection Framework via Semi-supervised Learning

Xianchao Zhang, Haijun Bai, Wenxin Liang, 2016, PAKDD Workshops.

Detecting Spam and Promoting Campaigns in Twitter

Xianchao Zhang, Zhaoxing Li, Wenxin Liang, 2016, ACM Trans. Web.

Detecting Spam and Promoting Campaigns in the Twitter Social Network

Xianchao Zhang, Wenxin Liang, Shaoping Zhu, 2012, 2012 IEEE 12th International Conference on Data Mining.

SLAX: An Improved Leaf-Clustering Based Approximate XML Join Algorithm for Integrating XML Data at Subtree Classes

H. Yokota, Wenxin Liang, 2006, Inf. Media Technol..

LAX: An Efficient Approximate XML Join Based on Clustered Leaf Nodes for XML Data Integration

Haruo Yokota, Wenxin Liang, H. Yokota, 2005, BNCOD.

A Path-sequence Based Method for Solving the One-to-multiple Matching Problem in Leaf-Clustering Based Approximate XML Join Algorithms

Wenxin Liang, Wenxin Liang, 2006 .