Multi-source information fusion based heterogeneous network embedding. - Bentian Li; Dechang Pi; Yunxia Lin; Izhar Ahmed Khan; Lin Cui 002 (Inf. Sci., 2020)

Learning ladder neural networks for semi-supervised node classification in social network. - Bentian Li; Dechang Pi; Yunxia Lin (Expert Syst. Appl., 2021)

Biogc: A novel framework for biological network classification via machine learning. - Bentian Li; Dechang Pi; Yunxia Lin; Izhar Ahmed Khan (Intell. Data Anal., 2021)

DNC: A Deep Neural Network-based Clustering-oriented Network Embedding Algorithm. - Bentian Li; Dechang Pi; Yunxia Lin; Lin Cui 002 (J. Netw. Comput. Appl., 2021)

A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. - Yunxia Lin; Songcan Chen (IEEE Trans. Fuzzy Syst., 2021)

Rectified Euler k-means and beyond. - Yunxia Lin; Songcan Chen (Pattern Recognit., 2023)

Dual Mutual Robust Graph Convolutional Network for Weakly Supervised Node Classification in Social Networks of Internet of People. - Bentian Li; Jia Wu 001; Dechang Pi; Yunxia Lin (IEEE Internet Things J., 2023)

Convex Subspace Clustering by Adaptive Block Diagonal Representation. - Yunxia Lin; Songcan Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Self-Supervised Learning IoT Device Features With Graph Contrastive Neural Network for Device Classification in Social Internet of Things. - Bentian Li; Yunxia Lin; Izhar Ahmed Khan (IEEE Trans. Netw. Serv. Manag., 2023)

Representation Auto-fused NMF based Hierarchical Clustering. - Yunxia Lin; Haoyu Hu; Bentian Li; Shuchang Zhao; Hengchang Jing (Expert Syst. Appl., 2025)