SARNMF: A Community Detection Method for Attributed Networks. - Junwei Cheng; Weisheng Li; Kunlin Han; Yong Tang 001; Chaobo He; Nini Zhang (CSCWD, 2022)

How Significant Attributes are in the Community Detection of Attributed Multiplex Networks. - Junwei Cheng; Chaobo He; Kunlin Han; Wenjie Ma; Yong Tang 001 (SIGIR, 2023)

Unveiling community structures in static networks through graph variational Bayes with evolution information. - Junwei Cheng; Chaobo He; Kunlin Han; Gangbin Chen; Wanying Liang; Yong Tang 001 (Neurocomputing, 2024)

Community detection in attributed networks via adaptive deep nonnegative matrix factorization. - Junwei Cheng; Yong Tang 001; Chaobo He; Kunlin Han; Ying Li; Jinhui Wei (Neural Comput. Appl., 2024)

Community-Aware Variational Autoencoder for Continuous Dynamic Networks. - Junwei Cheng; Chaobo He; Pengxing Feng; Weixiong Liu; Kunlin Han; Yong Tang 001 (AAAI, 2025)

When graph neural networks meet deep nonnegative matrix factorization: An encoder and decoder-like method for community detection. - Junwei Cheng; Chaobo He; Xuequan Lin; Weixiong Liu; Kunlin Han; Yong Tang 001 (Expert Syst. Appl., 2025)

Rethinking Variational Bayes in Community Detection From Graph Signal Perspective. - Junwei Cheng; Yong Tang 001; Chaobo He; Pengxing Feng; Kunlin Han; Quanlong Guan (IEEE Trans. Knowl. Data Eng., 2025)