Deep Mutual Encode Model for Network Embedding From Structural Identity. - Hongyao Ke; Yinghui Wang 005; Xuan Guo 005; Lin Pan 002; Pengfei Jiao; Wenjun Wang 002; Xiaoping Yang (IEEE Access, 2019)

A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution. - Shichong Zhang; Yinghui Wang 005; Wenjun Wang 002; Pengfei Jiao; Lin Pan 002 (CollaborateCom (2), 2020)

Role-Oriented Graph Auto-encoder Guided by Structural Information. - Xuan Guo 005; Wang Zhang 001; Wenjun Wang 002; Yang Yu 030; Yinghui Wang 005; Pengfei Jiao (DASFAA (2), 2020)

An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. - Pengfei Jiao; Ruili Lu; Di Jin 001; Yinghui Wang 005; Huaming Wu (ICDM, 2021)

Layer Information Similarity Concerned Network Embedding. - Ruili Lu; Pengfei Jiao; Yinghui Wang 005; Huaming Wu; Xue Chen 005 (Complex., 2021)

Towards a Multi-View Attentive Matching for Personalized Expert Finding. - Qiyao Peng 001; Hongtao Liu 008; Yinghui Wang 005; Hongyan Xu 001; Pengfei Jiao; Minglai Shao 001; Wenjun Wang 002 (WWW, 2022)

Geometry interaction network alignment. - Yinghui Wang 005; Wenjun Wang 002; Zixu Zhen; Qiyao Peng 001; Pengfei Jiao; Wei Liang; Minglai Shao 001; Yueheng Sun (Neurocomputing, 2022)

Towards comprehensive expert finding with a hierarchical matching network. - Qiyao Peng 001; Wenjun Wang 002; Hongtao Liu 008; Yinghui Wang 005; Hongyan Xu 001; Minglai Shao 001 (Knowl. Based Syst., 2022)

Network Alignment enhanced via modeling heterogeneity of anchor nodes. - Yinghui Wang 005; Qiyao Peng 001; Wenjun Wang 002; Xuan Guo 005; Minglai Shao 001; Hongtao Liu 008; Wei Liang; Lin Pan 002 (Knowl. Based Syst., 2022)

Enhancing Network Alignment through Multi-Scale Information Fusion. - Zhihao Chen; Pengfei Jiao; Yinghui Wang 005; Huijun Tang; Jilin Zhang (ICKG, 2023)

Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure. - Yinghui Wang 005; Wenjun Wang 002; Minglai Shao 001; Yueheng Sun (Algorithms, 2023)

PEPT: Expert Finding Meets Personalized Pre-training. - Qiyao Peng 001; Hongtao Liu 008; Hongyan Xu 001; Yinghui Wang 005; Wenjun Wang 002 (CoRR, 2023)

Exploring Temporal Community Structure via Network Embedding. - Tianpeng Li; Wenjun Wang 002; Pengfei Jiao; Yinghui Wang 005; Ruomeng Ding; Huaming Wu; Lin Pan 002; Di Jin 001 (IEEE Trans. Cybern., 2023)

Generative Evolutionary Anomaly Detection in Dynamic Networks. - Pengfei Jiao; Tianpeng Li; Yingjie Xie; Yinghui Wang 005; Wenjun Wang 002; Dongxiao He; Huaming Wu (IEEE Trans. Knowl. Data Eng., 2023)

CINA: Curvature-Based Integrated Network Alignment with Hypergraph. - Pengfei Jiao; Yuanqi Liu; Yinghui Wang 005; Ge Zhang 002 (ICDE, 2024)

Deep expertise and interest personalized transformer for expert finding. - Yinghui Wang 005; Qiyao Peng 001; Hongtao Liu 008; Hongyan Xu 001; Minglai Shao 001; Wenjun Wang 002 (Inf. Process. Manag., 2024)

Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks. - Mengzhou Gao 001; Pengfei Jiao; Ruili Lu; Huaming Wu; Yinghui Wang 005; Zhidong Zhao (IEEE Trans. Comput. Soc. Syst., 2024)

PEPT: Expert Finding Meets Personalized Pre-Training. - Qiyao Peng 001; Hongyan Xu 001; Yinghui Wang 005; Hongtao Liu 008; Cuiying Huo; Wenjun Wang 002 (ACM Trans. Inf. Syst., 2025)

Accurate Network Alignment via Consistency in Node Evolution. - Qiyao Peng 001; Yinghui Wang 005; Pengfei Jiao; Huaming Wu; Wenjun Wang 002 (IEEE Trans. Big Data, 2025)

Alleviate the Impact of Heterogeneity in Network Alignment From Community View. - Qiyao Peng 001; Yinghui Wang 005; Pengfei Jiao; Huaming Wu; Lin Pan 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation. - Qiyao Peng 001; Chen Wang 161; Yinghui Wang 005; Hongtao Liu 008; Xuan Guo 005; Wenjun Wang 002 (CoRR, 2025)

Interactive Graph Learning for Multilevel Network Alignment. - Pengfei Jiao; Yuanqi Liu; Yinghui Wang 005; Huijun Tang; Zhidong Zhao; Shirui Pan (IEEE Trans. Neural Networks Learn. Syst., 2025)