Wenjun Wang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 83

Top Topics

Dynamic Networks

Link Prediction

Negative Matrix Factorization

Top Venues

Knowl. Based Syst.

Publications

Yinghui Wang, Qiyao Peng, Hongtao Liu, Hongyan Xu, Minglai Shao, Wenjun Wang
Deep expertise and interest personalized transformer for expert finding. Inf. Process. Manag. 61 (5) (2024)
Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin
Graph Contrastive Learning via Interventional View Generation. WWW (2024)
Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li
Graphs Generalization under Distribution Shifts. CoRR (2024)
Hongyan Xu, Qiyao Peng, Hongtao Liu, Yueheng Sun, Wenjun Wang
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching. ACM Trans. Inf. Syst. 42 (1) (2024)
Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang
Review-LLM: Harnessing Large Language Models for Personalized Review Generation. CoRR (2024)
Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Qiyao Peng, Hongtao Liu, Hongyan Xu, Yinghui Wang, Wenjun Wang
PEPT: Expert Finding Meets Personalized Pre-training. CoRR (2023)
Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu
Generative Evolutionary Anomaly Detection in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang
Pre-trained Personalized Review Summarization with Effective Salience Estimation. ACL (Findings) (2023)
Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. KSEM (4) (2023)
Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang
Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. CIKM (2023)
Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin
Exploring Temporal Community Structure via Network Embedding. IEEE Trans. Cybern. 53 (11) (2023)
Yingjie Xie, Wenjun Wang, Minglai Shao, Tianpeng Li, Yandong Yu
Multi-view change point detection in dynamic networks. Inf. Sci. 629 (2023)
Minghu Tang, Wei Yu, Xiaoming Li, Xue Chen, Wenjun Wang, Zhen Liu
Cold-Start Link Prediction via Weighted Symmetric Nonnegative Matrix Factorization with Graph Regularization. Comput. Syst. Sci. Eng. 43 (3) (2022)
Qiyao Peng, Wenjun Wang, Hongtao Liu, Yinghui Wang, Hongyan Xu, Minglai Shao
Towards comprehensive expert finding with a hierarchical matching network. Knowl. Based Syst. 257 (2022)
Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun
Geometry interaction network alignment. Neurocomputing 501 (2022)
Yang Yu, Wenjun Wang, Minglai Shao, Nannan Wu, Ying Sun, Yueheng Sun, Qiang Tian
Multi-users interaction anomalous subgraph detection for event mining. Neurocomputing 509 (2022)
Ying Sun, Wenjun Wang, Nannan Wu, Chaochao Liu, Siddharth Bhatia, Yang Yu, Wei Yu
AAAN: Anomaly Alignment in Attributed Networks. Knowl. Based Syst. 249 (2022)
Jun Wang, Wenjun Wang, Wei Yu, Xueli Liu, Keyong Jia, Xiaoming Li, Ming Zhong, Yueheng Sun, Yuqing Xu
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks. Knowl. Based Syst. 258 (2022)
Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. CoRR (2022)
Nannan Wu, Ning Zhang, Qingcheng Lu, Jie Zhang, Wenjun Wang, Ying Sun, Siddharth Bhatia
Multiple Anomaly Alignments on Network Traffics. ICKG (2022)
Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang
Towards a Multi-View Attentive Matching for Personalized Expert Finding. WWW (2022)
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
Graph Neural Network for Higher-Order Dependency Networks. WWW (2022)
Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
Inflation Improves Graph Neural Networks. WWW (2022)
Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. IEEE Trans. Big Data 8 (4) (2022)
Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun
Towards Personalized Review Generation with Gated Multi-source Fusion Network. DASFAA (3) (2022)
Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao
Role-Oriented Dynamic Network Embedding. Big Data (2022)
Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan
Network Alignment enhanced via modeling heterogeneity of anchor nodes. Knowl. Based Syst. 250 (2022)
Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao
Expertise-Oriented Explainable Question Routing. CollaborateCom (1) (2022)
Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao
Toward Comprehensive User and Item Representations via Three-tier Attention Network. ACM Trans. Inf. Syst. 39 (3) (2021)
Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao
Learning Stochastic Equivalence based on Discrete Ricci Curvature. IJCAI (2021)
Xinyue Zhang, Nannan Wu, Zixu Zhen, Wenjun Wang
ANOMALYMAXQ: Anomaly-Structured Maximization to Query in Attributed Network. CoRR (2021)
Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao
Role-based network embedding via structural features reconstruction with degree-regularized constraint. Knowl. Based Syst. 218 (2021)
Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang
Generating Structural Node Representations via Higher-order Features and Adversarial Learning. ICDM (2021)
Qiang Tian, Lin Pan, Wang Zhang, Tianpeng Li, Huaming Wu, Pengfei Jiao, Wenjun Wang
Lower order information preserved network embedding based on non-negative matrix decomposition. Inf. Sci. 572 (2021)
Qiang Tian, Rui Wang, Shijie Li, Wenjun Wang, Ou Wu, Faming Li, Pengfei Jiao
College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models. Complex. 2021 (2021)
Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. CIKM (2021)
Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang
Rating-boosted abstractive review summarization with neural personalized generation. Knowl. Based Syst. 218 (2021)
Wei Yu, Xiaoming Li, Huaming Wu, Xue Chen, Minghu Tang, Yang Yu, Wenjun Wang
Modeling Community Evolution Characteristics of Dynamic Networks with Evolutionary Bayesian Nonnegative Matrix Factorization. Complex. 2021 (2021)
Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang
Transformer Reasoning Network for Personalized Review Summarization. SIGIR (2021)
Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao
Neural Adversarial Review Summarization with Hierarchical Personalized Attention. DASFAA (2) (2021)
Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao
Role-Oriented Graph Auto-encoder Guided by Structural Information. DASFAA (2) (2020)
Ying Sun, Wenjun Wang, Nannan Wu, Wei Yu, Xue Chen
Anomaly Subgraph Detection with Feature Transfer. CIKM (2020)
Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun
Cascade modeling with multihead self-attention. IJCNN (2020)
Chaochao Liu, Wenjun Wang, Pengfei Jiao, Yueheng Sun, Xiaoming Li, Xue Chen
CPNSA: Cascade Prediction with Network Structure Attention. CollaborateCom (1) (2020)
Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao
Neural Unified Review Recommendation with Cross Attention. SIGIR (2020)
Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan
A Unified Bayesian Model for Generalized Community Detection in Attribute Networks. Complex. 2020 (2020)
Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. ICONIP (2) (2020)
Tianpeng Li, Wenjun Wang, Xunxun Wu, Huaming Wu, Pengfei Jiao, Yandong Yu
Exploring the transition behavior of nodes in temporal networks based on dynamic community detection. Future Gener. Comput. Syst. 107 (2020)
Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao
Hierarchical Multi-view Attention for Neural Review-Based Recommendation. NLPCC (2) (2020)
Shichong Zhang, Yinghui Wang, Wenjun Wang, Pengfei Jiao, Lin Pan
A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution. CollaborateCom (2) (2020)
Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) (2019)
Wei Yu, Wenjun Wang, Xue Chen, Huaming Wu, Minghu Tang, Yang Yu
Boosting Temporal Community Detection via Modeling Community Evolution Characteristics. ISPA/BDCloud/SocialCom/SustainCom (2019)
Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang
SSNE: Status Signed Network Embedding. PAKDD (3) (2019)
Yuheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. ICANN (4) (2019)
Xunxun Wu, Pengfei Jiao, Yaping Wang, Tianpeng Li, Wenjun Wang, Bo Wang
Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks. DASFAA (2) (2019)
Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang
Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. DASFAA (1) (2019)
Wei Yu, Wenjun Wang, Pengfei Jiao, Huaming Wu, Yueheng Sun, Minghu Tang
Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis. IEEE Access 7 (2019)
Wei Yu, Wenjun Wang, Pengfei Jiao, Xuewei Li
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks. Knowl. Based Syst. 167 (2019)
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
NRPA: Neural Recommendation with Personalized Attention. CoRR (2019)
Wei Yu, Rongjian Mu, Ying Sun, Xue Chen, Wenjun Wang, Huaming Wu
A Double Non-Negative Matrix Factorization Model for Signed Network Analysis. ISPA/BDCloud/SocialCom/SustainCom (2019)
Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao
NRSA: Neural Recommendation with Summary-Aware Attention. KSEM (1) (2019)
Chaochao Liu, Wenjun Wang, Yueheng Sun
Community structure enhanced cascade prediction. Neurocomputing 359 (2019)
Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. DASFAA (3) (2019)
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
NRPA: Neural Recommendation with Personalized Attention. SIGIR (2019)
Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang
REKA: Relation Extraction with Knowledge-Aware Attention. CCKS (2019)
Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang
Deep Mutual Encode Model for Network Embedding From Structural Identity. IEEE Access 7 (2019)
Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. CoRR (2019)
Nuerzhegeti Aiyitibieke, Wenjun Wang, Nannan Wu, Ying Sun, Xuewei Li, Yueheng Sun
An Empirical Study on High-Risk Driving Behavior to Urban-Scale Pattern in China. IEEE Access 7 (2019)
Pengfei Jiao, Wenjun Wang, Di Jin
Constrained common cluster based model for community detection in temporal and multiplex networks. Neurocomputing 275 (2018)
Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. PAKDD (3) (2018)
Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks. Neurocomputing 314 (2018)
Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun, Pengfei Jiao
NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content. PAKDD (2) (2018)
Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun
Highlighting Link Prediction in Bipartite Networks via Structural Perturbation. IEEE Access 6 (2018)
Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei
Tracking and Detecting Dynamic Communities with Node Popularity Preservation. ICTAI (2017)
Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci
Semi-supervised community detection based on non-negative matrix factorization with node popularity. Inf. Sci. 381 (2017)
Ruixin Song, Wenjun Wang, Pengfei Jiao, Kang Li, Jing Li
Study of land evolution model driving by multi-attribute functional urban areas. ICSCA (2017)
Wenjun Wang, Yiding Feng, Pengfei Jiao, Wei Yu
Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction. Knowl. Based Syst. 137 (2017)
Wenjun Wang, Xiao-ming Li, Pengfei Jiao, Guangquan Xu, Ning Yuan, Wei Yu
Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing. Mob. Inf. Syst. 2017 (2017)
Jian Li, Wenjun Wang, Pengfei Jiao, Haodong Lyu
Comparative Statistical Analysis of Large-Scale Calling and SMS Network. ICSI (2) (2016)
Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. Knowl. Based Syst. 110 (2016)
Nady Slam, Wenjun Wang, Guixiang Xue, Pei Wang
A framework with reasoning capabilities for crisis response decision-support systems. Eng. Appl. Artif. Intell. 46 (2015)
Zhaoxian Wang, Wenjun Wang, Guixiang Xue, Pengfei Jiao, Xuewei Li
Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels. ICSI (2) (2015)
Bing Li, Nan Hu, Wenjun Wang, Ning Yuan
Temporal Pattern of Human Post and Interaction Behavior in Qzone. ICSI (2) (2015)
Kuiyu Ma, Wenjun Wang, Ning Yuan, Xiaotong Chi
Study on Temporal Patterns of Medical Emergency Call. ISKE (2015)
Xiaotong Chi, Yueheng Sun, Wenjun Wang, Kuiyu Ma
The Correlation Mining and Prediction of Social Security Events Based on Multidimensional Time Series Model. ISKE (2015)
Bo Zhao, Wenjun Wang, Guixiang Xue, Ning Yuan, Qiang Tian
An Empirical Analysis on Temporal Pattern of Credit Card Trade. ICSI (2) (2015)
Lei Xing, Wenjun Wang, Guixiang Xue, Hao Yu, Xiaotong Chi, Weidi Dai
Discovering Traffic Outlier Causal Relationship Based on Anomalous DAG. ICSI (2) (2015)
Zhuoqun Xu, Yingwei Luo, Li Ding, Wenjun Wang
A Hierarchical Component-based WebGIS and Its Key Technologies. Comput. Artif. Intell. 24 (3) (2005)
Wenjun Wang, Wei Guo, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu
The Study and Application of Crime Emergency Ontology Event Model. KES (4) (2005)
Wenjun Wang, Yingwei Luo, Xinpeng Liu, Xiaolin Wang, Zhuoqun Xu
Ontological Model of Event for Integration of Inter-organization Applications. ICCSA (1) (2005)
Wenjun Wang, Yuelong Wang, Fankuo Meng, Wei Yang, Yingwei Luo, Zhuoqun Xu
The Semantic Annotation of Emergency Event Cases. SKG (2005)
Yingwei Luo, Xinpeng Liu, Wenjun Wang, Xiaolin Wang, Zhuoqun Xu
QoS Analysis on Web Service Based Spatial Integration. GCC (2004)
Wenjun Wang, Xinpeng Liu, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu
Mapping Business Workflows onto Network Services Environments. GCC (2004)
Yingwei Luo, Wenjun Wang, Xinpeng Liu, Xiaolin Wang, Zhuoqun Xu
Spatial Application Integrating Infrastructure. EGOV (2004)
Yingwei Luo, Xinpeng Liu, Wenjun Wang, Xiaolin Wang, Zhuoqun Xu
Web Service and Geographical Information Integration. COMPSAC Workshops (2004)
Yuelong Wang, Wenjun Wang, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu
A Metadata Framework for Distributed Geo-spatial Databases in Grid Environment. GCC (2004)