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ORCIDWenjun Wang 0002
Person information
- affiliation: Tianjin University, School of Computer Science and Technology, China
- affiliation (PhD 2004): Peking University, Beijing, China
Other persons with the same name
- Wenjun Wang — disambiguation page
- Wenjun Wang 0001
![[0000-0003-4415-9323]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4415-9323")
— Nanchang Institute of Technology, School of Business Administration, China - Wenjun Wang 0003 — Shenzhen University, College of Computer Science and Software Engineering, China
- Wenjun Wang 0004 — University of Iowa, Department of Management Sciences, Iowa City, IA, USA
- Wenjun Wang 0005 — Tsinghua University, Beijing, China
- Wenjun Wang 0006 — University of Jinan, China
- Wenjun Wang 0007 — Wenzhou Kean University, China
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2020 – today
- 2023
[j33]Yingjie Xie, Wenjun Wang, Minglai Shao, Tianpeng Li, Yandong Yu:
Multi-view change point detection in dynamic networks. Inf. Sci. 629: 344-357 (2023)- 2022
- [j32]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): 1069-1084 (2022) - [j31]Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun:
Geometry interaction network alignment. Neurocomputing 501: 618-628 (2022) - [j30]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: 34-45 (2022) - [j29]Yang Yu, Wenjun Wang, Nannan Wu, Hongtao Liu, Minglai Shao:
IISD: Integrated Interaction Subgraph Detection for event mining. Knowl. Based Syst. 240: 108080 (2022) - [j28]Ying Sun, Wenjun Wang, Nannan Wu, Chaochao Liu, Siddharth Bhatia, Yang Yu, Wei Yu:
AAAN: Anomaly Alignment in Attributed Networks. Knowl. Based Syst. 249: 108944 (2022) - [j27]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: 109116 (2022) - [j26]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: 109933 (2022) - [j25]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: 109985 (2022) - [j24]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): 867-868 (2022) - [j23]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): 7400-7413 (2022) - [c51]Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao:
Role-Oriented Dynamic Network Embedding. Big Data 2022: 1070-1079 - [c50]Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao:
Expertise-Oriented Explainable Question Routing. CollaborateCom (1) 2022: 41-57 - [c49]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: 322-330 - [c48]Nannan Wu, Ning Zhang, Qingcheng Lu, Jie Zhang, Wenjun Wang, Ying Sun, Siddharth Bhatia:
Multiple Anomaly Alignments on Network Traffics. ICKG 2022: 313-320 - [c47]Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang:
Inflation Improves Graph Neural Networks. WWW 2022: 1466-1474 - [c46]Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang:
Graph Neural Network for Higher-Order Dependency Networks. WWW 2022: 1622-1630 - [c45]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: 2131-2140 - [i4]Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang:
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. CoRR abs/2201.06972 (2022) - 2021
- [j22]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: 5710459:1-5710459:17 (2021) - [j21]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: 7215888:1-7215888:13 (2021) - [j20]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: 43-56 (2021) - [j19]Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang:
Rating-boosted abstractive review summarization with neural personalized generation. Knowl. Based Syst. 218: 106858 (2021) - [j18]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: 106872 (2021) - [j17]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): 25:1-25:22 (2021) - [c44]Yang Yu, Minglai Shao, Hongyan Xu, Ying Sun, Wenjun Wang, Bofei Ma:
PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media. APSEC 2021: 72-81 - [c43]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: 3632-3636 - [c42]Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao:
Neural Adversarial Review Summarization with Hierarchical Personalized Attention. DASFAA (2) 2021: 53-69 - [c41]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: 1487-1492 - [c40]Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao:
Learning Stochastic Equivalence based on Discrete Ricci Curvature. IJCAI 2021: 1456-1462 - [c39]Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang:
Transformer Reasoning Network for Personalized Review Summarization. SIGIR 2021: 1452-1461 - [i3]Xinyue Zhang, Nannan Wu, Zixu Zhen, Wenjun Wang:
ANOMALYMAXQ: Anomaly-Structured Maximization to Query in Attributed Network. CoRR abs/2108.07405 (2021) - 2020
- [j16]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: 5712815:1-5712815:15 (2020) - [j15]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: 458-468 (2020) - [c38]Ying Sun, Wenjun Wang, Nannan Wu, Wei Yu, Xue Chen:
Anomaly Subgraph Detection with Feature Transfer. CIKM 2020: 1415-1424 - [c37]Chaochao Liu, Wenjun Wang, Pengfei Jiao, Yueheng Sun, Xiaoming Li, Xue Chen:
CPNSA: Cascade Prediction with Network Structure Attention. CollaborateCom (1) 2020: 64-79 - [c36]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: 518-529 - [c35]Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao:
Role-Oriented Graph Auto-encoder Guided by Structural Information. DASFAA (2) 2020: 466-481 - [c34]Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao:
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. ICONIP (2) 2020: 499-511 - [c33]Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun:
Cascade modeling with multihead self-attention. IJCNN 2020: 1-8 - [c32]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: 267-278 - [c31]Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao:
Neural Unified Review Recommendation with Cross Attention. SIGIR 2020: 1789-1792
2010 – 2019
- 2019
- [j14]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: 43654-43665 (2019) - [j13]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: 71350-71360 (2019) - [j12]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: 177484-177496 (2019) - [j11]Chaochao Liu, Wenjun Wang, Yueheng Sun:
Community structure enhanced cascade prediction. Neurocomputing 359: 276-284 (2019) - [j10]Wei Yu, Wenjun Wang, Pengfei Jiao, Xuewei Li:
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks. Knowl. Based Syst. 167: 1-10 (2019) - [c30]Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang:
REKA: Relation Extraction with Knowledge-Aware Attention. CCKS 2019: 62-73 - [c29]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: 363-367 - [c28]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: 435-451 - [c27]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: 502-518 - [c26]Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao:
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. ICANN (4) 2019: 143-155 - [c25]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: 936-943 - [c24]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: 1291-1296 - [c23]Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao:
NRSA: Neural Recommendation with Summary-Aware Attention. KSEM (1) 2019: 128-140 - [c22]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: 327-339 - [c21]Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang:
SSNE: Status Signed Network Embedding. PAKDD (3) 2019: 81-93 - [c20]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019: 1233-1236 - [i2]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. CoRR abs/1905.12480 (2019) - [i1]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 abs/1906.01511 (2019) - 2018
- [j9]Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun:
Highlighting Link Prediction in Bipartite Networks via Structural Perturbation. IEEE Access 6: 73583-73592 (2018) - [j8]Pengfei Jiao, Wenjun Wang, Di Jin:
Constrained common cluster based model for community detection in temporal and multiplex networks. Neurocomputing 275: 768-780 (2018) - [j7]Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun:
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks. Neurocomputing 314: 224-233 (2018) - [c19]Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin:
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. PAKDD (3) 2018: 218-230 - [c18]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: 260-271 - 2017
- [j6]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: 304-321 (2017) - [j5]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: 104-114 (2017) - [j4]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: 6310827:1-6310827:10 (2017) - [c17]Ruixin Song, Wenjun Wang, Pengfei Jiao, Kang Li, Jing Li:
Study of land evolution model driving by multi-attribute functional urban areas. ICSCA 2017: 272-276 - [c16]Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei:
Tracking and Detecting Dynamic Communities with Node Popularity Preservation. ICTAI 2017: 566-573 - 2016
- [j3]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: 121-134 (2016) - [c15]Jian Li, Wenjun Wang, Pengfei Jiao, Haodong Lyu:
Comparative Statistical Analysis of Large-Scale Calling and SMS Network. ICSI (2) 2016: 349-357 - 2015
- [j2]Nady Slam, Wenjun Wang, Guixiang Xue, Pei Wang:
A framework with reasoning capabilities for crisis response decision-support systems. Eng. Appl. Artif. Intell. 46: 346-353 (2015) - [c14]Kuiyu Ma, Wenjun Wang, Ning Yuan, Xiaotong Chi:
Study on Temporal Patterns of Medical Emergency Call. ISKE 2015: 403-407 - [c13]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: 408-413 - [c12]Bing Li, Nan Hu, Wenjun Wang, Ning Yuan:
Temporal Pattern of Human Post and Interaction Behavior in Qzone. ICSI (2) 2015: 53-62 - [c11]Bo Zhao, Wenjun Wang, Guixiang Xue, Ning Yuan, Qiang Tian:
An Empirical Analysis on Temporal Pattern of Credit Card Trade. ICSI (2) 2015: 63-70 - [c10]Lei Xing, Wenjun Wang, Guixiang Xue, Hao Yu, Xiaotong Chi, Weidi Dai:
Discovering Traffic Outlier Causal Relationship Based on Anomalous DAG. ICSI (2) 2015: 71-80 - [c9]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: 349-359
2000 – 2009
- 2005
- [j1]Zhuoqun Xu, Yingwei Luo, Li Ding, Wenjun Wang:
A Hierarchical Component-based WebGIS and Its Key Technologies. Comput. Artif. Intell. 24(3): 281-296 (2005) - [c8]Wenjun Wang, Yingwei Luo, Xinpeng Liu, Xiaolin Wang, Zhuoqun Xu:
Ontological Model of Event for Integration of Inter-organization Applications. ICCSA (1) 2005: 301-310 - [c7]Wenjun Wang, Wei Guo, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu:
The Study and Application of Crime Emergency Ontology Event Model. KES (4) 2005: 806-812 - [c6]Wenjun Wang, Yuelong Wang, Fankuo Meng, Wei Yang, Yingwei Luo, Zhuoqun Xu:
The Semantic Annotation of Emergency Event Cases. SKG 2005: 139 - 2004
- [c5]Yingwei Luo, Xinpeng Liu, Wenjun Wang, Xiaolin Wang, Zhuoqun Xu:
Web Service and Geographical Information Integration. COMPSAC Workshops 2004: 130-133 - [c4]Yingwei Luo, Wenjun Wang, Xinpeng Liu, Xiaolin Wang, Zhuoqun Xu:
Spatial Application Integrating Infrastructure. EGOV 2004: 381-386 - [c3]Yingwei Luo, Xinpeng Liu, Wenjun Wang, Xiaolin Wang, Zhuoqun Xu:
QoS Analysis on Web Service Based Spatial Integration. GCC 2004: 42-49 - [c2]Wenjun Wang, Xinpeng Liu, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu:
Mapping Business Workflows onto Network Services Environments. GCC 2004: 97-104 - [c1]Yuelong Wang, Wenjun Wang, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu:
A Metadata Framework for Distributed Geo-spatial Databases in Grid Environment. GCC 2004: 153-160
Coauthor Index
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