Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis. - Bo Yang 002; Xueyan Liu 001; Yang Li 030; Xuehua Zhao (IEEE Trans. Knowl. Data Eng., 2017)

Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions. - Yang Li 030; Hechang Chen; Bo Yang 002 (IEEE Access, 2018)

Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing. - Yang Li 030; Wen-Zhuo Song; Bo Yang 002 (J. Comput. Sci. Technol., 2018)

Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks. - Yunke Zhang; Zhiwei Yang 005; Bo Yu 013; Hechang Chen; Yang Li 030; Xuehua Zhao (KSEM, 2021)

A Scalable Redefined Stochastic Blockmodel. - Xueyan Liu 001; Bo Yang 002; Hechang Chen; Katarzyna Musial; Hongxu Chen 002; Yang Li 030; Wanli Zuo (ACM Trans. Knowl. Discov. Data, 2021)

SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks. - Yang Li 030; Bo Yang 002; Xuehua Zhao; Zhejian Yang; Hechang Chen (Knowl. Based Syst., 2023)

Stochastic Block Models for Complex Network Analysis: A Survey. - Xueyan Liu 001; Wenzhuo Song; Katarzyna Musial; Yang Li 030; Xuehua Zhao; Bo Yang 002 (ACM Trans. Knowl. Discov. Data, 2025)