Wenjun Wang

Wei Yu, Xue Chen, Wenjun Wang, 2019, 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).

A perturbation-based framework for link prediction via non-negative matrix factorization

Pengfei Jiao, Lin Pan, Fei Cai, 2016, Scientific Reports.

Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach

Dongxiao He, Bogdan Gabrys, Pengfei Jiao, 2016, Knowl. Based Syst..

A Fast and Efficient Algorithm for Mining Top-k Nodes in Complex Networks

Dong Liu, Guojie Song, Yun Jing, 2017, Scientific Reports.

Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks

Wenjun Wang, Wei Yu, Xuewei Li, 2019, Knowl. Based Syst..

Emergency Cases Ontology-Based Uncertain Similarity Matching

Wenjun Wang, Yongmei Guo, Long Yu, 2012 .

Understanding human reposting patterns on Sina Weibo from a global perspective

Pengfei Jiao, Wenjun Wang, Yueheng Sun, 2019, Physica A: Statistical Mechanics and its Applications.

Rating-boosted abstractive review summarization with neural personalized generation

Pengfei Jiao, Hongyan Xu, Hongtao Liu, 2021, Knowl. Based Syst..

Lower order information preserved network embedding based on non-negative matrix decomposition

Pengfei Jiao, Qiang Tian, Huaming Wu, 2021, Inf. Sci..

Community detection enhancement using non-negative matrix factorization with graph regularization

Xiao Liu, Yi-Ming Wei, Wenjun Wang, 2016 .

Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing

Wei Yu, Guangquan Xu, Pengfei Jiao, 2017, Mob. Inf. Syst..

Anomaly Detection Based on Regularized Vector Auto Regression in Thermal Power Plant

Yi-Ming Wei, Wenjun Wang, Jian Wang, 2015 .

Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis

Wenjun Wang, Wei Yu, Pengfei Jiao, 2019, IEEE Access.

Cascade modeling with multihead self-attention

Xue Chen, Wenjun Wang, Chaochao Liu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Community structure enhanced cascade prediction

Wenjun Wang, Yueheng Sun, Chaochao Liu, 2019, Neurocomputing.

A Unified Weakly Supervised Framework for Community Detection and Semantic Matching

Xiao Liu, Xue Chen, Pengfei Jiao, 2018, PAKDD.

NRPA: Neural Recommendation with Personalized Attention

Xing Xie, Chuhan Wu, Fangzhao Wu, 2019, SIGIR.

Neural Unified Review Recommendation with Cross Attention

Wenjun Wang, Qiyao Peng, Pengfei Jiao, 2020, SIGIR.

A Fused Multi-feature Based Co-training Approach for Document Clustering

Yuanqing Wang, Weidi Dai, Pengfei Jiao, 2016, 2016 3rd International Conference on Information Science and Control Engineering (ICISCE).

Role-based network embedding via structural features reconstruction with degree-regularized constraint

Pengfei Jiao, Qiang Tian, Xuan Guo, 2021, Knowl. Based Syst..

Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction

Wei Yu, Pengfei Jiao, Wenjun Wang, 2017, Knowl. Based Syst..

An Empirical Analysis on Temporal Pattern of Credit Card Trade

Bo Zhao, Qiang Tian, Ning Yuan, 2015, ICSI.

Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations

Yaping Wang, Bo Wang, Pengfei Jiao, 2019, DASFAA.

Role-Oriented Dynamic Network Embedding

Wenjun Wang, Minglai Shao, Pengfei Jiao, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism

Shirui Pan, Dongxiao He, Maoguo Gong, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Graph Neural Network for Higher-Order Dependency Networks

Dongxiao He, Di Jin, Wenjun Wang, 2022, WWW.

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning

Xing Xie, Fangzhao Wu, Wenjun Wang, 2019, NLPCC.

Exploring Temporal Community Structure via Network Embedding

Di Jin, Wenjun Wang, Lin Pan, 2022, IEEE Transactions on Cybernetics.

Learning Stochastic Equivalence based on Discrete Ricci Curvature

Pengfei Jiao, Qiang Tian, Xuan Guo, 2021, IJCAI.

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks pdf

Pengfei Jiao, Xuan Guo, Ting Pan, 2022, IEEE Transactions on Neural Networks and Learning Systems.

SSNE: Status Signed Network Embedding

Yaping Wang, Wenjun Wang, Pengfei Jiao, 2019, PAKDD.

Temporal patterns of emergency calls of a metropolitan city in China

Weidi Dai, Pengfei Jiao, Dong Liu, 2015 .

An Empirical Study on High-Risk Driving Behavior to Urban-Scale Pattern in China

Wenjun Wang, Yueheng Sun, Ying Sun, 2019, IEEE Access.

Traffic Flow Analysis and Prediction Based on GPS Data of Floating Cars

Xiangyu Zhou, Wenjun Wang, Long Yu, 2013 .

Traffic prediction based on auto spatiotemporal Multi-graph Adversarial Neural Network

Wei Yu, Wenjun Wang, Xueli Liu, 2021, Physica A: Statistical Mechanics and its Applications.

Di Jin, Wenjun Wang, Pengfei Jiao, 2017, Scientific Reports.

A framework with reasoning capabilities for crisis response decision-support systems

Pei Wang, Nady Slam, Wenjun Wang, 2015, Eng. Appl. Artif. Intell..

Wenjun Wang, Minghu Tang, Wenjun Wang, 2018, International Journal of Modern Physics B.

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features

Pengfei Jiao, Xuan Guo, Wenjun Wang, 2021, CIKM.

Anomaly Subgraph Detection with Feature Transfer

Xue Chen, Wenjun Wang, Ying Sun, 2020, CIKM.

Network Alignment enhanced via modeling heterogeneity of anchor nodes

Wenjun Wang, Lin Pan, Minglai Shao, 2022, Knowledge-Based Systems.

Deep Mutual Encode Model for Network Embedding From Structural Identity

Wenjun Wang, Pengfei Jiao, Xiaoping Yang, 2019, IEEE Access.

NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content

Pengfei Jiao, Yueheng Sun, Hongtao Liu, 2018, PAKDD.

Role-Oriented Graph Auto-encoder Guided by Structural Information

Wenjun Wang, Pengfei Jiao, Yang Yu, 2020, DASFAA.

Location selection for ambulance stations: a data-driven approach

Yuhong Li, Zhiguo Gong, U LeongHou, 2015, SIGSPATIAL/GIS.

A New Framework for Anomaly Detection Based on KNN-Distort in the Metro Traffic Flow

Hao Yu, Nan Hu, Wenjun Wang, 2015, ICSI.

Toward Comprehensive User and Item Representations via Three-tier Attention Network

Qiyao Peng, Pengfei Jiao, Fangzhao Wu, 2021, ACM Trans. Inf. Syst..

Layer Clustering-Enhanced Stochastic Block Model for Community Detection in Multiplex Networks

Wenjun Wang, Di Jin, Yueheng Sun, 2018, Advances in Intelligent Systems and Computing.

Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks

Wei Yu, Xiaoming Li, Pengfei Jiao, 2018, Neurocomputing.

Integrating Latent Feature Model and Kernel Function for Link Prediction in Bipartite Networks

Wenjun Wang, Pengfei Jiao, Xue Chen, 2018, Advances in Intelligent Systems and Computing.

A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information

Wenjun Wang, Pengfei Jiao, Minghu Tang, 2018, PloS one.

Pengfei Jiao, Di Jin, Wenjun Wang, 2017, Scientific Reports.

Link predication based on matrix factorization by fusion of multi class organizations of the network

Pengfei Jiao, Fei Cai, Wenjun Wang, 2017, Scientific Reports.

Temporal community detection based on symmetric nonnegative matrix factorization

Wenjun Wang, Wei Yu, Pengfei Jiao, 2017 .

Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels

Xuewei Li, Pengfei Jiao, Wenjun Wang, 2015, ICSI.

Application of adaptive histogram equalization to x-ray chest images

Wenjun Wang, Daoyin Yu, Yunqing Li, 1994, Other Conferences.

Future Generation Computer Systems

Xunxun Wu, Huaming Wu, Wenjun Wang, 2022 .

Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks

Yaping Wang, Wenjun Wang, Bo Wang, 2019, DASFAA.