主要论著

Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan (2022). Network Alignment Enhanced via Modeling Heterogeneity of Anchor Nodes. Knowledge-Based Systems.

Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin (2022). Exploring Temporal Community Structure via Network Embedding. IEEE Transactions on Cybernetics.

Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang (2021). Generating Structural Node Representations via Higher-order Features and Adversarial Learning. 2021 IEEE International Conference on Data Mining (ICDM).

Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan (2021). A Survey on Role-Oriented Network Embedding. IEEE Transactions on Big Data.

Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang (2021). Role-Oriented Network Embedding Based on Adversarial Learning between Higher-Order and Local Features. Proceedings of the 30th ACM International Conference on Information & Knowledge Management.

Qiang Tian, Lin Pan, Wang Zhang, Tianpeng Li, Huaming Wu, Pengfei Jiao, Wenjun Wang (2021). Lower Order Information Preserved Network Embedding Based on Non-Negative Matrix Decomposition. Information Sciences.

Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao (2021). Role-Based Network Embedding via Structural Features Reconstruction with Degree-Regularized Constraint. Knowledge-Based Systems.

Qin Tian, Lin Pan, Xuan Guo, Xiaoming Li, Wei Yu, Faming Li (2020). Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization. IEEE Access.

Shichong Zhang, Yinghui Wang, Wenjun Wang, Pengfei Jiao, Lin Pan (2020). A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution. Collaborative Computing: Networking, Applications and Worksharing - 16th EAI International Conference, CollaborateCom 2020.

Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao (2020). Hierarchical Multi-view Attention for Neural Review-Based Recommendation. Natural Language Processing and Chinese Computing - 9th CCF International Conference, NLPCC 2020.

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

Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao (2020). Hybrid Neural Recommendation with Joint Deep Representation Learning of Ratings and Reviews. Neurocomputing.

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

Wei Yu, Pengfei Jiao, Wenjun Wang, Yang Yu, Xue Chen, Lin Pan (2019). A Novel Evolutionary Clustering via the First-Order Varying Information for Dynamic Networks. Physica A: Statistical Mechanics and its Applications.

Wenjun Wang, Fei Cai, Pengfei Jiao, Lin Pan (2016). A Perturbation-Based Framework for Link Prediction via Non-Negative Matrix Factorization. Scientific Reports.

Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys (2016). Autonomous Overlapping Community Detection in Temporal Networks: A Dynamic Bayesian Nonnegative Matrix Factorization Approach. Knowledge-Based Systems.

Wenjun Wang, Ning Yuan, Lin Pan, Pengfei Jiao, Weidi Dai, Guixiang Xue, Dong Liu (2015). Temporal Patterns of Emergency Calls of a Metropolitan City in China. Physica A: Statistical Mechanics and its Applications.

Wenjun Wang, Lin Pan, Ning Yuan, Sen Zhang, Dong Liu (2015). A Comparative Analysis of Intra-City Human Mobility by Taxi. Physica A: Statistical Mechanics and its Applications.

Wenjun Wang, Dong Liu, Xiao Liu, Lin Pan (2013). Fuzzy Overlapping Community detection based on local random walk and multidimensional scaling. Physica A: Statistical Mechanics and its Applications.