Web Service and Geographical Information Integration. - Yingwei Luo; Xinpeng Liu 001; Wenjun Wang 002; Xiaolin Wang 001; Zhuoqun Xu (COMPSAC Workshops, 2004)

Spatial Application Integrating Infrastructure. - Yingwei Luo; Wenjun Wang 002; Xinpeng Liu 001; Xiaolin Wang 001; Zhuoqun Xu (EGOV, 2004)

QoS Analysis on Web Service Based Spatial Integration. - Yingwei Luo; Xinpeng Liu 001; Wenjun Wang 002; Xiaolin Wang 001; Zhuoqun Xu (GCC, 2004)

Mapping Business Workflows onto Network Services Environments. - Wenjun Wang 002; Xinpeng Liu 001; Yingwei Luo; Xiaolin Wang 001; Zhuoqun Xu (GCC, 2004)

A Metadata Framework for Distributed Geo-spatial Databases in Grid Environment. - Yuelong Wang; Wenjun Wang 002; Yingwei Luo; Xiaolin Wang 001; Zhuoqun Xu (GCC, 2004)

Ontological Model of Event for Integration of Inter-organization Applications. - Wenjun Wang 002; Yingwei Luo; Xinpeng Liu 001; Xiaolin Wang 001; Zhuoqun Xu (ICCSA (1), 2005)

The Study and Application of Crime Emergency Ontology Event Model. - Wenjun Wang 002; Wei Guo; Yingwei Luo; Xiaolin Wang 001; Zhuoqun Xu (KES (4), 2005)

The Semantic Annotation of Emergency Event Cases. - Wenjun Wang 002; Yuelong Wang; Fankuo Meng; Wei Yang; Yingwei Luo; Zhuoqun Xu (SKG, 2005)

A Hierarchical Component-based WebGIS and Its Key Technologies. - Zhuoqun Xu; Yingwei Luo; Li Ding; Wenjun Wang 002 (Comput. Artif. Intell., 2005)

The Correlation Mining and Prediction of Social Security Events Based on Multidimensional Time Series Model. - Xiaotong Chi; Yueheng Sun; Wenjun Wang 002; Kuiyu Ma (ISKE, 2015)

Study on Temporal Patterns of Medical Emergency Call. - Kuiyu Ma; Wenjun Wang 002; Ning Yuan; Xiaotong Chi (ISKE, 2015)

Temporal Pattern of Human Post and Interaction Behavior in Qzone. - Bing Li; Nan Hu; Wenjun Wang 002; Ning Yuan (ICSI (2), 2015)

Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels. - Zhaoxian Wang; Wenjun Wang 002; Guixiang Xue; Pengfei Jiao; Xuewei Li 001 (ICSI (2), 2015)

Discovering Traffic Outlier Causal Relationship Based on Anomalous DAG. - Lei Xing; Wenjun Wang 002; Guixiang Xue; Hao Yu; Xiaotong Chi; Weidi Dai (ICSI (2), 2015)

An Empirical Analysis on Temporal Pattern of Credit Card Trade. - Bo Zhao; Wenjun Wang 002; Guixiang Xue; Ning Yuan; Qiang Tian (ICSI (2), 2015)

A framework with reasoning capabilities for crisis response decision-support systems. - Nady Slam; Wenjun Wang 002; Guixiang Xue; Pei Wang (Eng. Appl. Artif. Intell., 2015)

Comparative Statistical Analysis of Large-Scale Calling and SMS Network. - Jian Li; Wenjun Wang 002; Pengfei Jiao; Haodong Lyu (ICSI (2), 2016)

Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. - Wenjun Wang 002; Pengfei Jiao; Dongxiao He; Di Jin 001; Lin Pan 002; Bogdan Gabrys (Knowl. Based Syst., 2016)

Study of land evolution model driving by multi-attribute functional urban areas. - Ruixin Song; Wenjun Wang 002; Pengfei Jiao; Kang Li; Jing Li (ICSCA, 2017)

Tracking and Detecting Dynamic Communities with Node Popularity Preservation. - Limengzi Yuan; Wenjun Wang 002; Pengfei Jiao; Di Jin 001; Wenxin Wei (ICTAI, 2017)

Semi-supervised community detection based on non-negative matrix factorization with node popularity. - Xiao Liu; Wenjun Wang 002; Dongxiao He; Pengfei Jiao; Di Jin 001; Carlo Vittorio Cannistraci (Inf. Sci., 2017)

Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction. - Wenjun Wang 002; Yiding Feng; Pengfei Jiao; Wei Yu 016 (Knowl. Based Syst., 2017)

Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing. - Wenjun Wang 002; Xiaoming Li 006; Pengfei Jiao; Guangquan Xu; Ning Yuan; Wei Yu 016 (Mob. Inf. Syst., 2017)

A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. - Wenjun Wang 002; Xiao Liu; Pengfei Jiao; Xue Chen 005; Di Jin 001 (PAKDD (3), 2018)

NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content. - Hongyan Xu 001; Hongtao Liu; Wenjun Wang 002; Yueheng Sun; Pengfei Jiao (PAKDD (2), 2018)

Highlighting Link Prediction in Bipartite Networks via Structural Perturbation. - Xue Chen 005; Wenjun Wang 002; Wei Yu 016; Pengfei Jiao; Yueheng Sun (IEEE Access, 2018)

Constrained common cluster based model for community detection in temporal and multiplex networks. - Pengfei Jiao; Wenjun Wang 002; Di Jin 001 (Neurocomputing, 2018)

Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks. - Pengfei Jiao; Wei Yu 016; Wenjun Wang 002; Xiaoming Li 006; Yueheng Sun (Neurocomputing, 2018)

Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. - Nannan Wu; Wenjun Wang 002; Feng Chen 001; Jianxin Li 002; Bo Li 005; Jinpeng Huai (AAAI, 2019)

REKA: Relation Extraction with Knowledge-Aware Attention. - Peiyi Wang; Hongtao Liu; Fangzhao Wu; Jinduo Song; Hongyan Xu 001; Wenjun Wang 002 (CCKS, 2019)

Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. - Yaping Wang; Pengfei Jiao; Wenjun Wang 002; Chunyu Lu; Hongtao Liu; Bo Wang 011 (DASFAA (1), 2019)

Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. - Xianchen Wang; Hongtao Liu; Peiyi Wang; Fangzhao Wu; Hongyan Xu 001; Wenjun Wang 002; Xing Xie 001 (DASFAA (3), 2019)

Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks. - Xunxun Wu; Pengfei Jiao; Yaping Wang; Tianpeng Li; Wenjun Wang 002; Bo Wang 011 (DASFAA (2), 2019)

Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. - Yueheng Sun; Xianchen Wang; Hongtao Liu; Wenjun Wang 002; Pengfei Jiao (ICANN (4), 2019)

Boosting Temporal Community Detection via Modeling Community Evolution Characteristics. - Wei Yu 016; Wenjun Wang 002; Xue Chen 005; Huaming Wu; Minghu Tang; Yang Yu 030 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A Double Non-Negative Matrix Factorization Model for Signed Network Analysis. - Wei Yu 016; Rongjian Mu; Ying Sun 005; Xue Chen 005; Wenjun Wang 002; Huaming Wu (ISPA/BDCloud/SocialCom/SustainCom, 2019)

NRSA: Neural Recommendation with Summary-Aware Attention. - Qiyao Peng 001; Peiyi Wang; Wenjun Wang 002; Hongtao Liu; Yueheng Sun; Pengfei Jiao (KSEM (1), 2019)

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. - Hongtao Liu; Peiyi Wang; Fangzhao Wu; Pengfei Jiao; Wenjun Wang 002; Xing Xie 001; Yueheng Sun (NLPCC (1), 2019)

SSNE: Status Signed Network Embedding. - Chunyu Lu; Pengfei Jiao; Hongtao Liu; Yaping Wang; Hongyan Xu 001; Wenjun Wang 002 (PAKDD (3), 2019)

NRPA: Neural Recommendation with Personalized Attention. - Hongtao Liu; Fangzhao Wu; Wenjun Wang 002; Xianchen Wang; Pengfei Jiao; Chuhan Wu; Xing Xie 001 (SIGIR, 2019)

An Empirical Study on High-Risk Driving Behavior to Urban-Scale Pattern in China. - Nuerzhegeti Aiyitibieke; Wenjun Wang 002; Nannan Wu; Ying Sun 005; Xuewei Li 001; Yueheng Sun (IEEE Access, 2019)

Deep Mutual Encode Model for Network Embedding From Structural Identity. - Hongyao Ke; Yinghui Wang; Xuan Guo; Lin Pan 002; Pengfei Jiao; Wenjun Wang 002; Xiaoping Yang (IEEE Access, 2019)

Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis. - Wei Yu 016; Wenjun Wang 002; Pengfei Jiao; Huaming Wu; Yueheng Sun; Minghu Tang (IEEE Access, 2019)

Community structure enhanced cascade prediction. - Chaochao Liu; Wenjun Wang 002; Yueheng Sun (Neurocomputing, 2019)

Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks. - Wei Yu 016; Wenjun Wang 002; Pengfei Jiao; Xuewei Li 001 (Knowl. Based Syst., 2019)

Anomaly Subgraph Detection with Feature Transfer. - Ying Sun 005; Wenjun Wang 002; Nannan Wu; Wei Yu 016; Xue Chen 005 (CIKM, 2020)

CPNSA: Cascade Prediction with Network Structure Attention. - Chaochao Liu; Wenjun Wang 002; Pengfei Jiao; Yueheng Sun; Xiaoming Li 006; Xue Chen 005 (CollaborateCom (1), 2020)

A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution. - Shichong Zhang; Yinghui Wang; Wenjun Wang 002; Pengfei Jiao; Lin Pan 002 (CollaborateCom (2), 2020)

Role-Oriented Graph Auto-encoder Guided by Structural Information. - Xuan Guo; Wang Zhang 001; Wenjun Wang 002; Yang Yu 030; Yinghui Wang; Pengfei Jiao (DASFAA (2), 2020)

Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. - Hongyan Xu 001; Wenjun Wang 002; Hongtao Liu; Mengxuan Zhang 005; Qiang Tian; Pengfei Jiao (ICONIP (2), 2020)

Cascade modeling with multihead self-attention. - Chaochao Liu; Wenjun Wang 002; Pengfei Jiao; Xue Chen 005; Yueheng Sun (IJCNN, 2020)

Hierarchical Multi-view Attention for Neural Review-Based Recommendation. - Hongtao Liu; Wenjun Wang 002; Huitong Chen; Wang Zhang 001; Qiyao Peng 001; Lin Pan 002; Pengfei Jiao (NLPCC (2), 2020)

Neural Unified Review Recommendation with Cross Attention. - Hongtao Liu; Wenjun Wang 002; Hongyan Xu 001; Qiyao Peng 001; Pengfei Jiao (SIGIR, 2020)

A Unified Bayesian Model for Generalized Community Detection in Attribute Networks. - Qiang Tian; Wenjun Wang 002; Yingjie Xie; Huaming Wu; Pengfei Jiao; Lin Pan 002 (Complex., 2020)

Exploring the transition behavior of nodes in temporal networks based on dynamic community detection. - Tianpeng Li; Wenjun Wang 002; Xunxun Wu; Huaming Wu; Pengfei Jiao; Yandong Yu (Future Gener. Comput. Syst., 2020)

PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media. - Yang Yu 030; Minglai Shao 001; Hongyan Xu 001; Ying Sun 005; Wenjun Wang 002; Bofei Ma (APSEC, 2021)

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. - Wang Zhang 001; Xuan Guo; Ting Pan; Chaochao Liu; Pengfei Jiao; Lin Pan 002; Wenjun Wang 002 (CIKM, 2021)

Neural Adversarial Review Summarization with Hierarchical Personalized Attention. - Hongyan Xu 001; Hongtao Liu; Wenjun Wang 002; Pengfei Jiao (DASFAA (2), 2021)

Generating Structural Node Representations via Higher-order Features and Adversarial Learning. - Wang Zhang 001; Yang Yu 030; Ting Pan; Lin Pan 002; Pengfei Jiao; Wenjun Wang 002 (ICDM, 2021)

Learning Stochastic Equivalence based on Discrete Ricci Curvature. - Xuan Guo; Qiang Tian; Wang Zhang 001; Wenjun Wang 002; Pengfei Jiao (IJCAI, 2021)

Transformer Reasoning Network for Personalized Review Summarization. - Hongyan Xu 001; Hongtao Liu; Pengfei Jiao; Wenjun Wang 002 (SIGIR, 2021)

College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models. - Qiang Tian; Rui Wang; Shijie Li; Wenjun Wang 002; Ou Wu; Faming Li; Pengfei Jiao (Complex., 2021)

Modeling Community Evolution Characteristics of Dynamic Networks with Evolutionary Bayesian Nonnegative Matrix Factorization. - Wei Yu 016; Xiaoming Li 006; Huaming Wu; Xue Chen 005; Minghu Tang; Yang Yu 030; Wenjun Wang 002 (Complex., 2021)

ANOMALYMAXQ: Anomaly-Structured Maximization to Query in Attributed Network. - Xinyue Zhang; Nannan Wu; Zixu Zhen; Wenjun Wang 002 (CoRR, 2021)

Lower order information preserved network embedding based on non-negative matrix decomposition. - Qiang Tian; Lin Pan 002; Wang Zhang 001; Tianpeng Li; Huaming Wu; Pengfei Jiao; Wenjun Wang 002 (Inf. Sci., 2021)

Rating-boosted abstractive review summarization with neural personalized generation. - Hongyan Xu 001; Hongtao Liu; Wang Zhang 001; Pengfei Jiao; Wenjun Wang 002 (Knowl. Based Syst., 2021)

Role-based network embedding via structural features reconstruction with degree-regularized constraint. - Wang Zhang 001; Xuan Guo; Wenjun Wang 002; Qiang Tian; Lin Pan 002; Pengfei Jiao (Knowl. Based Syst., 2021)

Toward Comprehensive User and Item Representations via Three-tier Attention Network. - Hongtao Liu; Wenjun Wang 002; Qiyao Peng 001; Nannan Wu; Fangzhao Wu; Pengfei Jiao (ACM Trans. Inf. Syst., 2021)

Role-Oriented Dynamic Network Embedding. - Ting Pan; Wenjun Wang 002; Minglai Shao 001; Yueheng Sun; Pengfei Jiao (IEEE Big Data, 2022)

Expertise-Oriented Explainable Question Routing. - Yulu Li; Wenjun Wang 002; Qiyao Peng 001; Hongtao Liu; Minglai Shao 001; Pengfei Jiao (CollaborateCom (1), 2022)

Towards Personalized Review Generation with Gated Multi-source Fusion Network. - Hongtao Liu; Wenjun Wang 002; Hongyan Xu 001; Qiyao Peng 001; Pengfei Jiao; Yueheng Sun (DASFAA (3), 2022)

Multiple Anomaly Alignments on Network Traffics. - Nannan Wu; Ning Zhang; Qingcheng Lu; Jie Zhang; Wenjun Wang 002; Ying Sun 005; Siddharth Bhatia 001 (ICKG, 2022)

Inflation Improves Graph Neural Networks. - Dongxiao He; Rui Guo; Xiaobao Wang; Di Jin 001; Yuxiao Huang; Wenjun Wang 002 (WWW, 2022)

Graph Neural Network for Higher-Order Dependency Networks. - Di Jin 001; Yingli Gong; Zhiqiang Wang; Zhizhi Yu; Dongxiao He; Yuxiao Huang; Wenjun Wang 002 (WWW, 2022)

Towards a Multi-View Attentive Matching for Personalized Expert Finding. - Qiyao Peng 001; Hongtao Liu; Yinghui Wang; Hongyan Xu 001; Pengfei Jiao; Minglai Shao 001; Wenjun Wang 002 (WWW, 2022)

FadMan: Federated Anomaly Detection across Multiple Attributed Networks. - Nannan Wu; Ning Zhang; Wenjun Wang 002; Lixin Fan; Qiang Yang 001 (CoRR, 2022)

Cold-Start Link Prediction via Weighted Symmetric Nonnegative Matrix Factorization with Graph Regularization. - Minghu Tang; Wei Yu 016; Xiaoming Li 006; Xue Chen 005; Wenjun Wang 002; Zhen Liu (Comput. Syst. Sci. Eng., 2022)

Geometry interaction network alignment. - Yinghui Wang; Wenjun Wang 002; Zixu Zhen; Qiyao Peng 001; Pengfei Jiao; Wei Liang; Minglai Shao 001; Yueheng Sun (Neurocomputing, 2022)

Multi-users interaction anomalous subgraph detection for event mining. - Yang Yu 030; Wenjun Wang 002; Minglai Shao 001; Nannan Wu; Ying Sun 005; Yueheng Sun; Qiang Tian (Neurocomputing, 2022)

Towards comprehensive expert finding with a hierarchical matching network. - Qiyao Peng 001; Wenjun Wang 002; Hongtao Liu; Yinghui Wang; Hongyan Xu 001; Minglai Shao 001 (Knowl. Based Syst., 2022)

AAAN: Anomaly Alignment in Attributed Networks. - Ying Sun 005; Wenjun Wang 002; Nannan Wu; Chaochao Liu; Siddharth Bhatia 001; Yang Yu 030; Wei Yu 016 (Knowl. Based Syst., 2022)

Network Alignment enhanced via modeling heterogeneity of anchor nodes. - Yinghui Wang; Qiyao Peng 001; Wenjun Wang 002; Xuan Guo; Minglai Shao 001; Hongtao Liu; Wei Liang; Lin Pan 002 (Knowl. Based Syst., 2022)

STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks. - Jun Wang; Wenjun Wang 002; Wei Yu 016; Xueli Liu; Keyong Jia; Xiaoming Li 006; Min Zhong; Yueheng Sun; Yuqing Xu (Knowl. Based Syst., 2022)

IISD: Integrated Interaction Subgraph Detection for event mining. - Yang Yu 030; Wenjun Wang 002; Nannan Wu; Hongtao Liu; Minglai Shao 001 (Knowl. Based Syst., 2022)

Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. - Di Jin 001; Wenjun Wang 002; Guojie Song; Philip S. Yu; Jiawei Han 001 (IEEE Trans. Big Data, 2022)

Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. - Pengfei Jiao; Xuan Guo; Xin Jing; Dongxiao He; Huaming Wu; Shirui Pan; Maoguo Gong; Wenjun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Pre-trained Personalized Review Summarization with Effective Salience Estimation. - Hongyan Xu 001; Hongtao Liu; Zhepeng Lv; Qing Yang 033; Wenjun Wang 002 (ACL (Findings), 2023)

Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. - Dong Li 034; Wenjun Wang 002; Minglai Shao 001; Chen Zhao 010 (CIKM, 2023)

Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. - Hongyan Xu 001; Hongtao Liu; Zhepeng Lv; Qing Yang 033; Wenjun Wang 002 (CIKM, 2023)

Contrastive Pre-training for Personalized Expert Finding. - Qiyao Peng 001; Hongtao Liu; Zhepeng Lv; Qing Yang 033; Wenjun Wang 002 (EMNLP (Findings), 2023)

Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction. - Jinlin Hou; Xuan Guo; Jiye Liu; Jie Li 087; Lin Pan 002; Wenjun Wang 002 (ICANN (4), 2023)

Event Association Analysis Using Graph Rules. - Pengyue Jiang; Wenjun Wang 002; Xueli Liu; Lifei Sun; Bowen Dong (ICANN (4), 2023)

Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. - Jingyuan Zhang; Wenjun Wang 002; Tianpeng Li; Minglai Shao 001; Jiye Liu; Yueheng Sun (KSEM (4), 2023)

Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure. - Yinghui Wang; Wenjun Wang 002; Minglai Shao 001; Yueheng Sun (Algorithms, 2023)

PEPT: Expert Finding Meets Personalized Pre-training. - Qiyao Peng 001; Hongtao Liu; Hongyan Xu 001; Yinghui Wang; Wenjun Wang 002 (CoRR, 2023)

Multi-view change point detection in dynamic networks. - Yingjie Xie; Wenjun Wang 002; Minglai Shao 001; Tianpeng Li; Yandong Yu (Inf. Sci., 2023)

Exploring Temporal Community Structure via Network Embedding. - Tianpeng Li; Wenjun Wang 002; Pengfei Jiao; Yinghui Wang; Ruomeng Ding; Huaming Wu; Lin Pan 002; Di Jin 001 (IEEE Trans. Cybern., 2023)

HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. - Pengfei Jiao; Tianpeng Li; Huaming Wu; Chang-Dong Wang 001; Dongxiao He; Wenjun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Generative Evolutionary Anomaly Detection in Dynamic Networks. - Pengfei Jiao; Tianpeng Li; Yingjie Xie; Yinghui Wang; Wenjun Wang 002; Dongxiao He; Huaming Wu (IEEE Trans. Knowl. Data Eng., 2023)

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. - Dong Li 034; Chen Zhao 010; Minglai Shao 001; Wenjun Wang 002 (CIKM, 2024)

TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection. - Zehao Guo; Nannan Wu; Yiming Zhao; Wenjun Wang 002 (DASFAA (6), 2024)

Enhancing Multi-view Contrastive Learning for Graph Anomaly Detection. - Qingcheng Lu; Nannan Wu; Yiming Zhao; Wenjun Wang 002; Quannan Zu (DASFAA (6), 2024)

Entity Profiling with Graph Rules. - Zhenzhen Mai; Wenjun Wang 002; Xueli Liu; Xiaoyang Feng; Bowen Dong (DASFAA (4), 2024)

CeDFormer: Community Enhanced Transformer for Dynamic Network Embedding. - Jiaqi Guo; Tianpeng Li; Minglai Shao 001; Wenjun Wang 002; Lin Pan 002; Xue Chen 005; Yueheng Sun (DELTA, 2024)

Graph Collaborative Expert Finding with Contrastive Learning. - Qiyao Peng 001; Wenjun Wang 002; Hongtao Liu; Cuiying Huo; Minglai Shao 001 (IJCAI, 2024)

Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning. - Ying Sun 005; Wenjun Wang 002; Nannan Wu; Chunlong Bao (IJCAI, 2024)

Graph Contrastive Learning via Interventional View Generation. - Zengyi Wo; Minglai Shao 001; Wenjun Wang 002; Xuan Guo; Lu Lin 001 (WWW, 2024)

Graphs Generalization under Distribution Shifts. - Qin Tian; Wenjun Wang 002; Chen Zhao 010; Minglai Shao 001; Wang Zhang 001; Dong Li 034 (CoRR, 2024)

Review-LLM: Harnessing Large Language Models for Personalized Review Generation. - Qiyao Peng 001; Hongtao Liu; Hongyan Xu 001; Qing Yang 033; Minglai Shao 001; Wenjun Wang 002 (CoRR, 2024)

Deep expertise and interest personalized transformer for expert finding. - Yinghui Wang; Qiyao Peng 001; Hongtao Liu; Hongyan Xu 001; Minglai Shao 001; Wenjun Wang 002 (Inf. Process. Manag., 2024)

Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching. - Hongyan Xu 001; Qiyao Peng 001; Hongtao Liu; Yueheng Sun; Wenjun Wang 002 (ACM Trans. Inf. Syst., 2024)

Extending Graph Rules with Oracles. - Xueli Liu; Bowen Dong; Wenzhi Fu; Nannan Wu; Xin Wang 030; Wenjun Wang 002 (Proc. VLDB Endow., 2024)

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. - Xuan Guo; Pengfei Jiao; Wang Zhang 001; Ting Pan; Mengyu Jia; Danyang Shi; Wenjun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs. - Nannan Wu; Yazheng Zhao; Hongdou Dong; Keao Xi; Wei Yu 016; Wenjun Wang 002 (AAAI, 2025)

Combining Loss-aware Curriculum Learning with Incomplete Graph Neural Networks. - Jiawei Chen; Keao Xi; Gaoke Zhang; Yueheng Sun; Wenjun Wang 002 (ICASSP, 2025)

MLDGG: Meta-Learning for Domain Generalization on Graphs. - Qin Tian; Chen Zhao 010; Minglai Shao 001; Wenjun Wang 002; Yujie Lin; Dong Li 034 (KDD (1), 2025)

A Reinforcement Learning Approach for Graph Rule Learning. - Zhenzhen Mai; Wenjun Wang 002; Xueli Liu; Xiaoyang Feng; Jun Wang; Wenzhi Fu (Big Data Min. Anal., 2025)

Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks. - Jie Li 087; Xuan Guo; Pengfei Jiao; Wenjun Wang 002 (Neurocomputing, 2025)

Temporal multivariate-factors independence convolution network for anomaly detection in dynamic networks. - Yang Yu 030; Minglai Shao 001; Xin Li; Wenjun Wang 002 (Neurocomputing, 2025)

Counterfactual learning for higher-order relation prediction in heterogeneous information networks. - Xuan Guo; Jie Li 087; Pengfei Jiao; Wang Zhang 001; Tianpeng Li; Wenjun Wang 002 (Neural Networks, 2025)

PEPT: Expert Finding Meets Personalized Pre-Training. - Qiyao Peng 001; Hongyan Xu 001; Yinghui Wang; Hongtao Liu; Cuiying Huo; Wenjun Wang 002 (ACM Trans. Inf. Syst., 2025)

Accurate Network Alignment via Consistency in Node Evolution. - Qiyao Peng 001; Yinghui Wang; Pengfei Jiao; Huaming Wu; Wenjun Wang 002 (IEEE Trans. Big Data, 2025)

Temporal subgraph contrastive learning for anomaly detection on dynamic attributed graphs. - Yang Yu 030; Xin Li; Minglai Shao 001; Ying Sun 005; Wenjun Wang 002 (Appl. Intell., 2025)

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. - Yumeng Wang; Zengyi Wo; Wenjun Wang 002; Xingcheng Fu; Minglai Shao 001 (CoRR, 2025)

Improving Fairness in Graph Neural Networks via Counterfactual Debiasing. - Zengyi Wo; Chang Liu; Yumeng Wang; Minglai Shao 001; Wenjun Wang 002 (CoRR, 2025)

Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum. - Zengyi Wo; Wenjun Wang 002; Minglai Shao 001; Chang Liu; Yumeng Wang; Yueheng Sun (CoRR, 2025)