Wenjun Wang

158 papers A* 19A 6B 3C 1Misc 3Journal 71Unranked 55
YearRankTypeTitle / Venue / Authors
2026 J jnl
Attention-Based Anomaly Detection in Dynamic Network.
Big Data Min. Anal.
Yiming Zhao, Wenjun Wang, Nannan Wu, Jilei Liu, Ying Sun, Wei Yu, Quannan Zu
2026 A* conf
Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation.
WWW
Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao, Wenjun Wang
2026 J jnl
Exploring the evolution trends of network security research field based on P4OE heterogeneous network.
Neural Comput. Appl.
Yanfei Liu, Dezhi Liu, Wenjun Wang, Chengbo Yu
2026 J jnl
LWDiffusion: Node role detection in complex networks via legendre wavelet diffusion model.
Inf. Sci.
Yanfei Liu, Dezhi Liu, Di Jin, Wenjun Wang, Xiaoyang Zheng, Chengbo Yu
2026 J jnl
MSTNets: a short-term spatiotemporal prediction framework based on dynamic and multi-graph convolution networks.
Clust. Comput.
Jun Wang, Wenjun Wang, Nannan Wu, Xue Chen, Xueli Liu, Xiaoming Li, Wei Yu
2026 J jnl
Semantic enhancement in graph contrastive learning by combining topology and features.
Appl. Soft Comput.
Bowen Mao, Wenjun Wang, Wei Yu, Qiang Tian, Wenkai Wang, Jiye Liu, Han Bao, Nannan Wu
2025 J jnl
A Reinforcement Learning Approach for Graph Rule Learning.
Big Data Min. Anal.
Zhenzhen Mai, Wenjun Wang, Xueli Liu, Xiaoyang Feng, Jun Wang, Wenzhi Fu
2025 J jnl
Accurate Network Alignment via Consistency in Node Evolution.
IEEE Trans. Big Data
Qiyao Peng, Yinghui Wang, Pengfei Jiao, Huaming Wu, Wenjun Wang
2025 J jnl
Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum.
CoRR
Zengyi Wo, Wenjun Wang, Minglai Shao, Chang Liu, Yumeng Wang, Yueheng Sun
2025 J jnl
Anomaly Detection Using Graph Anomaly Rules.
Big Data Min. Anal.
Bowen Dong, Wenjun Wang, Lifei Sun, Xueli Liu, Zhenzhen Mai
2025 Misc conf
Combining Loss-aware Curriculum Learning with Incomplete Graph Neural Networks.
ICASSP
Jiawei Chen, Keao Xi, Gaoke Zhang, Yueheng Sun, Wenjun Wang
2025 J jnl
Counterfactual learning for higher-order relation prediction in heterogeneous information networks.
Neural Networks
Xuan Guo, Jie Li, Pengfei Jiao, Wang Zhang, Tianpeng Li, Wenjun Wang
2025 — conf
DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path.
EMNLP (Findings)
Yongqiang Liu, Qiyao Peng, Binrong Liu, Hongtao Liu, Xuewei Li, Wenjun Wang
2025 A* conf
Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection.
IJCAI
Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao
2025 J jnl
Dual-Modal Prototype Joint Learning for Compositional Zero-Shot Learning.
CoRR
Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang
2025 J jnl
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation.
CoRR
Qiyao Peng, Chen Wang, Yinghui Wang, Hongtao Liu, Xuan Guo, Wenjun Wang
2025 A conf
FedGC: Contrastive-enhanced Subgraph Federated Learning with Grouping Pseudo-Label.
CIKM
Keao Xi, Nannan Wu, Yiming Zhao, Wenjun Wang
2025 A* conf
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs.
AAAI
Nannan Wu, Yazheng Zhao, Hongdou Dong, Keao Xi, Wei Yu, Wenjun Wang
2025 A* conf
GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning.
ICML
Nannan Wu, Yuming Huang, Yiming Zhao, Jie Chen, Wenjun Wang
2025 J jnl
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing.
CoRR
Zengyi Wo, Chang Liu, Yumeng Wang, Minglai Shao, Wenjun Wang
2025 A* conf
Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting.
ICML
Min Chen, Guansong Pang, Wenjun Wang, Cheng Yan
2025 J jnl
Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks.
Neurocomputing
Jie Li, Xuan Guo, Pengfei Jiao, Wenjun Wang
2025 A* conf
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks.
IJCAI
Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025 J jnl
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks.
CoRR
Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025 — conf
MLDGG: Meta-Learning for Domain Generalization on Graphs.
KDD (1)
Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li
2025 — conf
Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning.
DASFAA (3)
Chang Liu, Zengyi Wo, Minglai Shao, Wenjun Wang, Qin Tian
2025 J jnl
PEPT: Expert Finding Meets Personalized Pre-Training.
ACM Trans. Inf. Syst.
Qiyao Peng, Hongyan Xu, Yinghui Wang, Hongtao Liu, Cuiying Huo, Wenjun Wang
2025 J jnl
Temporal multivariate-factors independence convolution network for anomaly detection in dynamic networks.
Neurocomputing
Yang Yu, Minglai Shao, Xin Li, Wenjun Wang
2025 J jnl
Temporal subgraph contrastive learning for anomaly detection on dynamic attributed graphs.
Appl. Intell.
Yang Yu, Xin Li, Minglai Shao, Ying Sun, Wenjun Wang
2024 — conf
Anomaly Aligned Subgraphs Detection on Multi-layer Attributed Networks.
ADMA (3)
Yuqi Liu, Nannan Wu, Wenjun Wang
2024 A* conf
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning.
IJCAI
Ying Sun, Wenjun Wang, Nannan Wu, Chunlong Bao
2024 — conf
CeDFormer: Community Enhanced Transformer for Dynamic Network Embedding.
DELTA
Jiaqi Guo, Tianpeng Li, Minglai Shao, Wenjun Wang, Lin Pan, Xue Chen, Yueheng Sun
2024 J jnl
Deep expertise and interest personalized transformer for expert finding.
Inf. Process. Manag.
Yinghui Wang, Qiyao Peng, Hongtao Liu, Hongyan Xu, Minglai Shao, Wenjun Wang
2024 — conf
Empowering Comprehensive Biomedical Information Analysis with Large Language Models.
ADMA (4)
Yiming Zhao, Jie Chen, Nannan Wu, Wenjun Wang
2024 — conf
Enhancing Multi-view Contrastive Learning for Graph Anomaly Detection.
DASFAA (6)
Qingcheng Lu, Nannan Wu, Yiming Zhao, Wenjun Wang, Quannan Zu
2024 — conf
Entity Profiling with Graph Rules.
DASFAA (4)
Zhenzhen Mai, Wenjun Wang, Xueli Liu, Xiaoyang Feng, Bowen Dong
2024 J jnl
Extending Graph Rules with Oracles.
Proc. VLDB Endow.
Xueli Liu, Bowen Dong, Wenzhi Fu, Nannan Wu, Xin Wang, Wenjun Wang
2024 A* conf
Graph Collaborative Expert Finding with Contrastive Learning.
IJCAI
Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao
2024 A* conf
Graph Contrastive Learning via Interventional View Generation.
WWW
Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin
2024 J jnl
Graphs Generalization under Distribution Shifts.
CoRR
Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li
2024 J jnl
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching.
ACM Trans. Inf. Syst.
Hongyan Xu, Qiyao Peng, Hongtao Liu, Yueheng Sun, Wenjun Wang
2024 A conf
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously.
CIKM
Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang
2024 J jnl
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously.
CoRR
Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang
2024 — conf
Learning Rules in Knowledge Graphs via Contrastive Learning.
DASFAA (4)
Xiaoyang Feng, Xueli Liu, Yajun Yang, Wenjun Wang, Jun Wang
2024 J jnl
MLDGG: Meta-Learning for Domain Generalization on Graphs.
CoRR
Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li
2024 J jnl
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.
IEEE Trans. Neural Networks Learn. Syst.
Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang
2024 J jnl
Review-LLM: Harnessing Large Language Models for Personalized Review Generation.
CoRR
Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang
2024 — conf
TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection.
DASFAA (6)
Zehao Guo, Nannan Wu, Yiming Zhao, Wenjun Wang
2023 — conf
Contrastive Pre-training for Personalized Expert Finding.
EMNLP (Findings)
Qiyao Peng, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang
2023 A conf
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs.
CIKM
Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao
2023 J jnl
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs.
CoRR
Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao
2023 J jnl
Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure.
Algorithms
Yinghui Wang, Wenjun Wang, Minglai Shao, Yueheng Sun
2023 — conf
Event Association Analysis Using Graph Rules.
ICANN (4)
Pengyue Jiang, Wenjun Wang, Xueli Liu, Lifei Sun, Bowen Dong
2023 J jnl
Exploring Temporal Community Structure via Network Embedding.
IEEE Trans. Cybern.
Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin
2023 A* conf
Feature Prediction Diffusion Model for Video Anomaly Detection.
ICCV
Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang
2023 — conf
Flow-Guided Diffusion Autoencoder for Unsupervised Video Anomaly Detection.
PRCV (6)
Aoni Zhu, Wenjun Wang, Cheng Yan
2023 J jnl
Generative Evolutionary Anomaly Detection in Dynamic Networks.
IEEE Trans. Knowl. Data Eng.
Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu
2023 J jnl
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang
2023 — conf
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning.
KSEM (4)
Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun
2023 J jnl
Multi-view change point detection in dynamic networks.
Inf. Sci.
Yingjie Xie, Wenjun Wang, Minglai Shao, Tianpeng Li, Yandong Yu
2023 J jnl
PEPT: Expert Finding Meets Personalized Pre-training.
CoRR
Qiyao Peng, Hongtao Liu, Hongyan Xu, Yinghui Wang, Wenjun Wang
2023 — conf
Pre-trained Personalized Review Summarization with Effective Salience Estimation.
ACL (Findings)
Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang
2023 A conf
Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning.
CIKM
Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang
2023 — conf
Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction.
ICANN (4)
Jinlin Hou, Xuan Guo, Jiye Liu, Jie Li, Lin Pan, Wenjun Wang
2022 J jnl
AAAN: Anomaly Alignment in Attributed Networks.
Knowl. Based Syst.
Ying Sun, Wenjun Wang, Nannan Wu, Chaochao Liu, Siddharth Bhatia, Yang Yu, Wei Yu
2022 J jnl
Cold-Start Link Prediction via Weighted Symmetric Nonnegative Matrix Factorization with Graph Regularization.
Comput. Syst. Sci. Eng.
Minghu Tang, Wei Yu, Xiaoming Li, Xue Chen, Wenjun Wang, Zhen Liu
2022 — conf
Expertise-Oriented Explainable Question Routing.
CollaborateCom (1)
Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao
2022 J jnl
FadMan: Federated Anomaly Detection across Multiple Attributed Networks.
CoRR
Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang
2022 J jnl
Geometry interaction network alignment.
Neurocomputing
Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun
2022 A* conf
Graph Neural Network for Higher-Order Dependency Networks.
WWW
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
2022 J jnl
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data.
IEEE Trans. Big Data
Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han
2022 J jnl
IISD: Integrated Interaction Subgraph Detection for event mining.
Knowl. Based Syst.
Yang Yu, Wenjun Wang, Nannan Wu, Hongtao Liu, Minglai Shao
2022 A* conf
Inflation Improves Graph Neural Networks.
WWW
Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
2022 J jnl
Multi-users interaction anomalous subgraph detection for event mining.
Neurocomputing
Yang Yu, Wenjun Wang, Minglai Shao, Nannan Wu, Ying Sun, Yueheng Sun, Qiang Tian
2022 — conf
Multiple Anomaly Alignments on Network Traffics.
ICKG
Nannan Wu, Ning Zhang, Qingcheng Lu, Jie Zhang, Wenjun Wang, Ying Sun, Siddharth Bhatia
2022 J jnl
Network Alignment enhanced via modeling heterogeneity of anchor nodes.
Knowl. Based Syst.
Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan
2022 J jnl
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.
CoRR
Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang
2022 B conf
Role-Oriented Dynamic Network Embedding.
IEEE Big Data
Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao
2022 J jnl
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks.
Knowl. Based Syst.
Jun Wang, Wenjun Wang, Wei Yu, Xueli Liu, Keyong Jia, Xiaoming Li, Min Zhong, Yueheng Sun, YuQing Xu
2022 J jnl
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang
2022 — conf
Towards Personalized Review Generation with Gated Multi-source Fusion Network.
DASFAA (3)
Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun
2022 A* conf
Towards a Multi-View Attentive Matching for Personalized Expert Finding.
WWW
Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang
2022 J jnl
Towards comprehensive expert finding with a hierarchical matching network.
Knowl. Based Syst.
Qiyao Peng, Wenjun Wang, Hongtao Liu, Yinghui Wang, Hongyan Xu, Minglai Shao
2021 J jnl
ANOMALYMAXQ: Anomaly-Structured Maximization to Query in Attributed Network.
CoRR
Xinyue Zhang, Nannan Wu, Zixu Zhen, Wenjun Wang
2021 J jnl
College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models.
Complex.
Qiang Tian, Rui Wang, Shijie Li, Wenjun Wang, Ou Wu, Faming Li, Pengfei Jiao
2021 A* conf
Generating Structural Node Representations via Higher-order Features and Adversarial Learning.
ICDM
Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang
2021 A* conf
Learning Stochastic Equivalence based on Discrete Ricci Curvature.
IJCAI
Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao
2021 J jnl
Lower order information preserved network embedding based on non-negative matrix decomposition.
Inf. Sci.
Qiang Tian, Lin Pan, Wang Zhang, Tianpeng Li, Huaming Wu, Pengfei Jiao, Wenjun Wang
2021 J jnl
Modeling Community Evolution Characteristics of Dynamic Networks with Evolutionary Bayesian Nonnegative Matrix Factorization.
Complex.
Wei Yu, Xiaoming Li, Huaming Wu, Xue Chen, Minghu Tang, Yang Yu, Wenjun Wang
2021 — conf
Neural Adversarial Review Summarization with Hierarchical Personalized Attention.
DASFAA (2)
Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao
2021 C conf
PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media.
APSEC
Yang Yu, Minglai Shao, Hongyan Xu, Ying Sun, Wenjun Wang, Bofei Ma
2021 J jnl
Rating-boosted abstractive review summarization with neural personalized generation.
Knowl. Based Syst.
Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang
2021 J jnl
Role-based network embedding via structural features reconstruction with degree-regularized constraint.
Knowl. Based Syst.
Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao
2021 A conf
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.
CIKM
Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang
2021 J jnl
Toward Comprehensive User and Item Representations via Three-tier Attention Network.
ACM Trans. Inf. Syst.
Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao
2021 A* conf
Transformer Reasoning Network for Personalized Review Summarization.
SIGIR
Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang
2020 J jnl
A Unified Bayesian Model for Generalized Community Detection in Attribute Networks.
Complex.
Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan
2020 — conf
A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution.
CollaborateCom (2)
Shichong Zhang, Yinghui Wang, Wenjun Wang, Pengfei Jiao, Lin Pan
2020 A conf
Anomaly Subgraph Detection with Feature Transfer.
CIKM
Ying Sun, Wenjun Wang, Nannan Wu, Wei Yu, Xue Chen
2020 — conf
CPNSA: Cascade Prediction with Network Structure Attention.
CollaborateCom (1)
Chaochao Liu, Wenjun Wang, Pengfei Jiao, Yueheng Sun, Xiaoming Li, Xue Chen
2020 B conf
Cascade modeling with multihead self-attention.
IJCNN
Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun
2020 J jnl
Exploring the transition behavior of nodes in temporal networks based on dynamic community detection.
Future Gener. Comput. Syst.
Tianpeng Li, Wenjun Wang, Xunxun Wu, Huaming Wu, Pengfei Jiao, Yandong Yu
2020 — conf
Hierarchical Multi-view Attention for Neural Review-Based Recommendation.
NLPCC (2)
Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao
2020 — conf
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks.
ICONIP (2)
Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao
2020 A* conf
Neural Unified Review Recommendation with Cross Attention.
SIGIR
Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao
2020 J jnl
Real-Time Ambulance Redeployment: A Data-Driven Approach.
IEEE Trans. Knowl. Data Eng.
Shenggong Ji, Yu Zheng, Wenjun Wang, Tianrui Li
2020 — conf
Role-Oriented Graph Auto-encoder Guided by Structural Information.
DASFAA (2)
Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao
2019 — conf
A Double Non-Negative Matrix Factorization Model for Signed Network Analysis.
ISPA/BDCloud/SocialCom/SustainCom
Wei Yu, Rongjian Mu, Ying Sun, Xue Chen, Wenjun Wang, Huaming Wu
2019 J jnl
An Empirical Study on High-Risk Driving Behavior to Urban-Scale Pattern in China.
IEEE Access
Nuerzhegeti Aiyitibieke, Wenjun Wang, Nannan Wu, Ying Sun, Xuewei Li, Yueheng Sun
2019 — conf
Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations.
DASFAA (1)
Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang
2019 — conf
Boosting Temporal Community Detection via Modeling Community Evolution Characteristics.
ISPA/BDCloud/SocialCom/SustainCom
Wei Yu, Wenjun Wang, Xue Chen, Huaming Wu, Minghu Tang, Yang Yu
2019 J jnl
Community structure enhanced cascade prediction.
Neurocomputing
Chaochao Liu, Wenjun Wang, Yueheng Sun
2019 J jnl
Deep Mutual Encode Model for Network Embedding From Structural Identity.
IEEE Access
Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang
2019 — conf
Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks.
DASFAA (2)
Xunxun Wu, Pengfei Jiao, Yaping Wang, Tianpeng Li, Wenjun Wang, Bo Wang
2019 J jnl
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks.
Knowl. Based Syst.
Wei Yu, Wenjun Wang, Pengfei Jiao, Xuewei Li
2019 J jnl
Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis.
IEEE Access
Wei Yu, Wenjun Wang, Pengfei Jiao, Huaming Wu, Yueheng Sun, Minghu Tang
2019 A* conf
NRPA: Neural Recommendation with Personalized Attention.
SIGIR
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019 J jnl
NRPA: Neural Recommendation with Personalized Attention.
CoRR
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019 — conf
NRSA: Neural Recommendation with Summary-Aware Attention.
KSEM (1)
Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao
2019 — conf
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.
DASFAA (3)
Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
2019 J jnl
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.
CoRR
Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
2019 — conf
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.
NLPCC (1)
Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun
2019 — conf
REKA: Relation Extraction with Knowledge-Aware Attention.
CCKS
Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang
2019 — conf
SSNE: Status Signed Network Embedding.
PAKDD (3)
Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang
2019 — conf
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification.
ICANN (4)
Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao
2019 A* conf
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs.
AAAI
Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai
2018 — conf
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching.
PAKDD (3)
Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin
2018 J jnl
Constrained common cluster based model for community detection in temporal and multiplex networks.
Neurocomputing
Pengfei Jiao, Wenjun Wang, Di Jin
2018 J jnl
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks.
Neurocomputing
Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun
2018 J jnl
Highlighting Link Prediction in Bipartite Networks via Structural Perturbation.
IEEE Access
Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun
2018 — conf
NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content.
PAKDD (2)
Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun, Pengfei Jiao
2017 J jnl
Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing.
Mob. Inf. Syst.
Wenjun Wang, Xiaoming Li, Pengfei Jiao, Guangquan Xu, Ning Yuan, Wei Yu
2017 J jnl
Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction.
Knowl. Based Syst.
Wenjun Wang, Yiding Feng, Pengfei Jiao, Wei Yu
2017 J jnl
Semi-supervised community detection based on non-negative matrix factorization with node popularity.
Inf. Sci.
Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci
2017 — conf
Study of land evolution model driving by multi-attribute functional urban areas.
ICSCA
Ruixin Song, Wenjun Wang, Pengfei Jiao, Kang Li, Jing Li
2017 B conf
Tracking and Detecting Dynamic Communities with Node Popularity Preservation.
ICTAI
Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei
2016 J jnl
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.
Knowl. Based Syst.
Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys
2016 — conf
Comparative Statistical Analysis of Large-Scale Calling and SMS Network.
ICSI (2)
Jian Li, Wenjun Wang, Pengfei Jiao, Haodong Lyu
2015 — conf
A New Framework for Anomaly Detection Based on KNN-Distort in the Metro Traffic Flow.
ICSI (2)
Yapeng Zhang, Nan Hu, Wenjun Wang, Hao Yu
2015 J jnl
A framework with reasoning capabilities for crisis response decision-support systems.
Eng. Appl. Artif. Intell.
Nady Slam, Wenjun Wang, Guixiang Xue, Pei Wang
2015 — conf
An Empirical Analysis on Temporal Pattern of Credit Card Trade.
ICSI (2)
Bo Zhao, Wenjun Wang, Guixiang Xue, Ning Yuan, Qiang Tian
2015 — conf
Discovering Traffic Outlier Causal Relationship Based on Anomalous DAG.
ICSI (2)
Lei Xing, Wenjun Wang, Guixiang Xue, Hao Yu, Xiaotong Chi, Weidi Dai
2015 — conf
Location selection for ambulance stations: a data-driven approach.
SIGSPATIAL/GIS
Yuhong Li, Yu Zheng, Shenggong Ji, Wenjun Wang, Leong Hou U, Zhiguo Gong
2015 — conf
Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels.
ICSI (2)
Zhaoxian Wang, Wenjun Wang, Guixiang Xue, Pengfei Jiao, Xuewei Li
2015 Misc conf
Study on Temporal Patterns of Medical Emergency Call.
ISKE
Kuiyu Ma, Wenjun Wang, Ning Yuan, Xiaotong Chi
2015 — conf
Temporal Pattern of Human Post and Interaction Behavior in Qzone.
ICSI (2)
Bing Li, Nan Hu, Wenjun Wang, Ning Yuan
2015 Misc conf
The Correlation Mining and Prediction of Social Security Events Based on Multidimensional Time Series Model.
ISKE
Xiaotong Chi, Yueheng Sun, Wenjun Wang, Kuiyu Ma
2009 — conf
DL-Based the Knowledge Description of Emergency Plan Systems and Its Application.
MUE
Cunxiang Dong, Wenjun Wang, Peng Wang
2009 — conf
Ontology Modeling of Emergency Plan Systems.
FSKD (2)
Wenjun Wang, Cunxiang Dong, Peng Yang
2005 J jnl
A Hierarchical Component-based WebGIS and Its Key Technologies.
Comput. Artif. Intell.
Zhuoqun Xu, Yingwei Luo, Li Ding, Wenjun Wang
2005 — conf
Ontological Model of Event for Integration of Inter-organization Applications.
ICCSA (1)
Wenjun Wang, Yingwei Luo, Xinpeng Liu, Xiaolin Wang, Zhuoqun Xu
2005 — conf
The Semantic Annotation of Emergency Event Cases.
SKG
Wenjun Wang, Yuelong Wang, Fankuo Meng, Wei Yang, Yingwei Luo, Zhuoqun Xu
2005 — conf
The Study and Application of Crime Emergency Ontology Event Model.
KES (4)
Wenjun Wang, Wei Guo, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu
2004 — conf
A Metadata Framework for Distributed Geo-spatial Databases in Grid Environment.
GCC
Yuelong Wang, Wenjun Wang, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu
2004 — conf
Mapping Business Workflows onto Network Services Environments.
GCC
Wenjun Wang, Xinpeng Liu, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu
2004 — conf
QoS Analysis on Web Service Based Spatial Integration.
GCC
Yingwei Luo, Xinpeng Liu, Wenjun Wang, Xiaolin Wang, Zhuoqun Xu
2004 — conf
Spatial Application Integrating Infrastructure.
EGOV
Yingwei Luo, Wenjun Wang, Xinpeng Liu, Xiaolin Wang, Zhuoqun Xu
2004 — conf
Web Service and Geographical Information Integration.
COMPSAC Workshops
Yingwei Luo, Xinpeng Liu, Wenjun Wang, Xiaolin Wang, Zhuoqun Xu