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)

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)

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)

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)

A Survey on Role-Oriented Network Embedding. - Pengfei Jiao; Xuan Guo; Ting Pan; Wang Zhang 001; Yulong Pei (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)

A Survey on Role-Oriented Network Embedding. - Pengfei Jiao; Xuan Guo; Ting Pan; Wang Zhang 001; Yulong Pei; Lin Pan 002 (IEEE Trans. Big Data, 2022)

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism. - Pengfei Jiao; Qiang Tian; Wang Zhang 001; Xuan Guo; Di Jin 001; Huaming Wu (IEEE Trans. Cybern., 2023)

Role-oriented representation learning via fusioning local and higher-order feature. - Ming Du; Pengfei Jiao; Huijun Tang; Wang Zhang 001; Jian Wu (Knowl. Based Syst., 2023)

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. - Pengfei Jiao; Hongqian Chen; Qing Bao; Wang Zhang 001; Huaming Wu (AAAI, 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)

Graph contrastive learning for source localization in social networks. - Qing Bao; Ying Jiang 004; Wang Zhang 001; Pengfei Jiao; Jing Su (Inf. Sci., 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)

Disentangled Representation Learning for Structural Role Discovery. - Wang Zhang 001; Lin Pan 002; Xuan Guo; Pengfei Jiao (IEEE Trans. Comput. Soc. Syst., 2024)

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)

Cascade Popularity Prediction: A Multi-View Learning Approach With Socialized Modeling. - Pengfei Jiao; Weijian Song; Yuling Wang; Wang Zhang 001; Hongqian Chen; Zhidong Zhao; Jian Wu (IEEE Trans. Netw. Sci. Eng., 2025)

Combine the Growth of Cascades and Impact of Users for Diffusion Prediction. - Pengfei Jiao; Peng Yan; Jilin Zhang; Biao Wang; Wang Zhang 001; Nailiang Zhao (IEEE Trans. Big Data, 2025)