LAX: An Efficient Approximate XML Join Based on Clustered Leaf Nodes for XML Data Integration. - Wenxin Liang; Haruo Yokota (BNCOD, 2005)

VLEI code: An Efficient Labeling Method for Handling XML Documents in an RDB. - Kazuhito Kobayashi; Wenxin Liang; Dai Kobayashi; Akitsugu Watanabe; Haruo Yokota (ICDE, 2005)

A Path-sequence Based Discrimination for Subtree Matching in Approximate XML Joins. - Wenxin Liang; Haruo Yokota (ICDE Workshops, 2006)

SLAX: An Improved Leaf-Clustering Based Approximate XML Join Algorithm for Integrating XML Data at Subtree Classes. - Wenxin Liang; Haruo Yokota (Inf. Media Technol., 2006)

An XML subtree segmentation method based on syntactic segmentation rate. - Wenxin Liang; Xiangyong Ouyang; Haruo Yokota (ICDIM, 2007)

Storage consumption of variable-length XML labels uninfluenced by insertions. - Akihiro Takahashi; Wenxin Liang; Haruo Yokota (ICDIM, 2007)

Superimposed Code-Based Indexing Method for Extracting MCTs from XML Documents. - Wenxin Liang; Takeshi Miki; Haruo Yokota (DEXA, 2008)

Exploiting Path Information for Syntax-Based XML Subtree Matching in RDBs. - Wenxin Liang; Haruo Yokota (WAIM, 2008)

A Low-Storage-Consumption XML Labeling Method for Efficient Structural Information Extraction. - Wenxin Liang; Akihiro Takahashi; Haruo Yokota (DEXA, 2009)

Automatic seed set expansion for trust propagation based anti-spamming algorithms. - Xianchao Zhang 001; Bo Han 002; Wenxin Liang (WIDM, 2009)

C&C: An Effective Algorithm for Extracting Web Community Cores. - Xianchao Zhang 001; Yueting Li; Wenxin Liang (DASFAA Workshops, 2010)

Extracting Local Web Communities Using Lexical Similarity. - Xianchao Zhang 001; Wen Xu; Wenxin Liang (DASFAA Workshops, 2010)

Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation. - Xianchao Zhang 001; Yansheng Jiang; Wenxin Liang; Xin Han (ICDM, 2010)

An N-Gram-and-Wikipedia joint approach to Natural Language Identification. - Xi Yang; Wenxin Liang (IUCS, 2010)

Detection of Web Communities from Community Cores. - Xianchao Zhang 001; Liang Wang; Yueting Li; Wenxin Liang (WISE Workshops, 2010)

Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam. - Xianchao Zhang 001; You Wang; Nan Mou; Wenxin Liang (AAAI, 2011)

Extracting Local Community Structure from Local Cores. - Xianchao Zhang 001; Liang Wang; Yueting Li; Wenxin Liang (DASFAA Workshops, 2011)

A Two-Dimension XML Encoding Method based on Variable Length Binary Code. - Jie Chen; Wenxin Liang; Haruo Yokota (J. Softw., 2011)

Detecting Spam and Promoting Campaigns in the Twitter Social Network. - Xianchao Zhang 001; Shaoping Zhu; Wenxin Liang (ICDM, 2012)

Guest Editorial. - Xianchao Zhang 001; Wenxin Liang; Feng Xia 001 (J. Comput., 2012)

Automatic seed set expansion for trust propagation based anti-spam algorithms. - Xianchao Zhang 001; Wenxin Liang; Shaoping Zhu; Bo Han 002 (Inf. Sci., 2013)

XEdge: An Efficient Method for Returning Meaningful Clustered Results for XML Keyword Search. - Wenxin Liang; Yuanyuan Gan; Xianchao Zhang 001 (ADC, 2014)

Topical Influential User Analysis with Relationship Strength Estimation in Twitter. - Xinyue Liu 002; Hua Shen 001; Fenglong Ma; Wenxin Liang (ICDM Workshops, 2014)

Multiple Feature-Sets Method for Dependency Parsing. - Xianchao Zhang 001; Dong Du; Xinyue Liu 002; Wenxin Liang (PAAP, 2014)

Propagating Both Trust and Distrust with Target Differentiation for Combating Link-Based Web Spam. - Xianchao Zhang 001; You Wang; Nan Mou; Wenxin Liang (ACM Trans. Web, 2014)

UserGreedy: Exploiting the Activation Set to Solve Influence Maximization Problem. - Wenxin Liang; Chengguang Shen; Xianchao Zhang 001 (APWeb, 2015)

GCM: A Greedy-Based Cross-Matching Algorithm for Identifying Users Across Multiple Online Social Networks. - Wenxin Liang; Bo Meng; Xiaosong He; Xianchao Zhang 001 (PAISI, 2015)

Manifold Regularized Symmetric Joint Link Model for Overlapping Community Detection. - Hao Chen 122; Xianchao Zhang 001; Wenxin Liang; Feng Ding 004 (PAKDD Workshops, 2015)

A Semi-Supervised Framework for Social Spammer Detection. - Zhaoxing Li; Xianchao Zhang 001; Hua Shen 001; Wenxin Liang; Zengyou He (PAKDD (2), 2015)

High Dimensional Explicit Feature Biased Matrix Factorization Recommendation. - Weibin Sun; Xianchao Zhang 001; Wenxin Liang; Zengyou He (PAKDD Workshops, 2015)

Differential Trust Propagation with Community Discovery for Link-Based Web Spam Demotion. - Xianchao Zhang 001; Yafei Feng; Hua Shen 001; Wenxin Liang (WAIM, 2015)

Influence Maximization in Signed Social Networks. - Chengguang Shen; Ryo Nishide; Ian Piumarta; Hideyuki Takada; Wenxin Liang (WISE (1), 2015)

Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-Factorization. - Xianchao Zhang 001; Haixin Li; Wenxin Liang; Jiebo Luo 001 (ICDM, 2016)

S-Rank: A Supervised Ranking Framework for Relationship Prediction in Heterogeneous Information Networks. - Wenxin Liang; Xiaosong He; Dongdong Tang; Xianchao Zhang 001 (IEA/AIE, 2016)

Heterogeneous Information Networks Bi-clustering with Similarity Regularization. - Xianchao Zhang 001; Haixin Li; Wenxin Liang; Linlin Zong; Xinyue Liu 002 (PAISI, 2016)

A Social Spam Detection Framework via Semi-supervised Learning. - Xianchao Zhang 001; Haijun Bai; Wenxin Liang (PAKDD Workshops, 2016)

Detecting Spam and Promoting Campaigns in Twitter. - Xianchao Zhang 001; Zhaoxing Li; Shaoping Zhu; Wenxin Liang (ACM Trans. Web, 2016)

Recognize the Same Users across Multiple Online Social Networks. - Siqi Li; Wenxin Liang; Xianchao Zhang 001 (IC2IT, 2017)

Joining External Context Characters to Improve Chinese Word Embedding. - Xianchao Zhang 001; Shike Liu; Yuangang Li 001; Wenxin Liang (ISNN (2), 2017)

SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model. - Xianchao Zhang 001; Heng Shi; Yuangang Li 001; Wenxin Liang (PAKDD (Workshops), 2017)

A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data. - Xianchao Zhang 001; Daoyuan Sun; Yuangang Li 001; Han Liu 008; Wenxin Liang (PAKDD (Workshops), 2017)

Discovering social spammers from multiple views. - Hua Shen 001; Fenglong Ma; Xianchao Zhang 001; Linlin Zong; Xinyue Liu 002; Wenxin Liang (Neurocomputing, 2017)

GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts. - Wenxin Liang; Ran Feng; Xinyue Liu 002; Yuangang Li 001; Xianchao Zhang 001 (IEEE Access, 2018)

Supervised ranking framework for relationship prediction in heterogeneous information networks. - Wenxin Liang; Xiao Li 027; Xiaosong He; Xinyue Liu 002; Xianchao Zhang 001 (Appl. Intell., 2018)

A Universal Method Based on Structure Subgraph Feature for Link Prediction over Dynamic Networks. - Xiao Li 027; Wenxin Liang; Xianchao Zhang 001; Xinyue Liu 002; Weili Wu 001 (ICDCS, 2019)

Improving Variational Auto-Encoder with Self-Attention and Mutual Information for Image Generation. - Lizhi Lin; Xinyue Liu 002; Wenxin Liang (ICVIP, 2019)

One Shot Learning with Margin. - Xianchao Zhang 001; Jinlong Nie; Linlin Zong; Hong Yu 005; Wenxin Liang (PAKDD (2), 2019)

Influence Maximization in Signed Social Networks With Opinion Formation. - Wenxin Liang; Chengguang Shen; Xiao Li 027; Ryo Nishide; Ian Piumarta; Hideyuki Takada (IEEE Access, 2019)

Speed Up the Training of Neural Machine Translation. - Xinyue Liu 002; Weixuan Wang; Wenxin Liang; Yuangang Li 001 (Neural Process. Lett., 2020)

Attribute Network Alignment Based on Network Embedding. - Fan Yang; Wenxin Liang; Linlin Zong (ICCDE, 2021)

Self-supervised Graph Representation Learning with Variational Inference. - Zihan Liao; Wenxin Liang; Han Liu 008; Jie Mu; Xianchao Zhang 001 (PAKDD (3), 2021)

Structure-guided attributed network embedding with "centroid" enhancement. - Zihan Liao; Wenxin Liang; Beilei Cui; Xin Liu 020 (Computing, 2021)

An Early Depression Detection Model on Social Media using Emotional and Causal Features. - Linlin Zong; Jian Zheng; Xianchao Zhang 001; Xinyue Liu 002; Wenxin Liang; Bo Xu 009 (BIBM, 2023)

Video-Context Aligned Transformer for Video Question Answering. - Linlin Zong; Jiahui Wan; Xianchao Zhang 001; Xinyue Liu 002; Wenxin Liang; Bo Xu 009 (AAAI, 2024)

SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification. - Wenxin Liang; Tingyu Zhang; Han Liu 008; Feng Zhang 027 (ACL (Findings), 2024)

Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding. - Xinyue Liu 002; Jianan Zhang; Chi Ma; Wenxin Liang; Bo Xu 009; Linlin Zong (LREC/COLING, 2024)

Boosting Zero-Shot Node Classification via Dependency Capture and Discriminative Feature Learning. - Wenxin Liang; Zhiliang Hao; Han Liu 008; Hongyang Chen 001 (ICASSP, 2024)

Boosting Node Injection Attack with Graph Local Sparsity. - Wenxin Liang; Bingkai Liu; Han Liu 008; Hong Yu 005 (ICME, 2024)

Online Class-incremental Continual Learning with Maximum Entropy Memory Update. - Guanglu Wang; Xinyue Liu 002; Wenxin Liang; Linlin Zong; Xianchao Zhang 001 (IJCNN, 2024)

Advanced Prediction of Landslide Deformation Through Temporal Fusion Transformer and Multivariate Time-Series Clustering of InSAR: Insights From the Badui Region, Eastern Tibet. - Yuchuan Yang; Jie Dou; Abdelaziz Merghadi; Wenxin Liang; Aonan Dong; Deqing Xiong; Lele Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Self-Supervised Deep Multiview Spectral Clustering. - Linlin Zong; Faqiang Miao; Xianchao Zhang 001; Wenxin Liang; Bo Xu 009 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models. - Yifang Xu; Yunzhuo Sun; Benxiang Zhai; Ming Li 069; Wenxin Liang; Yang Li 063; Sidan Du (AAAI, 2025)

Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs. - Yuwei Du; Xinyue Liu 002; Wenxin Liang; Linlin Zong; Xianchao Zhang 001 (COLING, 2025)

Conditional Semantic Textual Similarity via Conditional Contrastive Learning. - Xinyue Liu 002; Zeyang Qin; Zeyu Wang; Wenxin Liang; Linlin Zong; Bo Xu 009 (COLING, 2025)

Online Contrastive Continual Learning with Hard Negative Samples. - Guanglu Wang; Xinyue Liu 002; Wentao Yang; Wenxin Liang; Linlin Zong; Xianchao Zhang 001 (ICASSP, 2025)

Effective Linear Vision Transformer Via Selective Sampling Softmax and Multi-Feature Enhancement. - Xianchao Zhang 001; Senqi Guan; Yunlong Gao; Linlin Zong; Wenxin Liang; Xinyue Liu 002 (ICME, 2025)

Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning. - Wentao Yang; Xinyue Liu 002; Yunlong Gao; Wenxin Liang; Linlin Zong; Guanglu Wang; Xianchao Zhang 001 (UAI, 2025)

Guiding Prototype Networks with label semantics for few-shot text classification. - Xinyue Liu 002; Yunlong Gao; Linlin Zong; Wenxin Liang; Bo Xu 009 (Pattern Recognit., 2025)

xDeepServe: Model-as-a-Service on Huawei CloudMatrix384. - Ao Xiao; Bangzheng He; Baoquan Zhang; Baoxing Huai; Bingji Wang; Bo Wang; Bo Xu; Boyi Hou; Chan Yang; Changhong Liu; Cheng Cui; Chenyu Zhu; et al. (CoRR, 2025)