Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. - Qingyao Wu; Jian Chen 011; Shen-Shyang Ho; Xutao Li; Huaqing Min; Chao Han 002 (Big Data Res., 2015)

Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction. - Chao Han 002; Jian Chen 011; Qingyao Wu; Shuai Mu; Huaqing Min (J. Bioinform. Comput. Biol., 2015)

A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge. - Jungang Xu; Yue Zhao; Jian Chen 011; Chao Han 002 (J. Comput. Sci. Technol., 2015)

Online Feature Selection of Class Imbalance via PA Algorithm. - Chao Han 002; Yun-Kun Tan; Jin-Hui Zhu; Yong Guo; Jian Chen 011; Qingyao Wu (J. Comput. Sci. Technol., 2016)

Tensor Based Relations Ranking for Multi-relational Collective Classification. - Chao Han 002; Qingyao Wu; Michael K. Ng 001; Jiezhang Cao; Mingkui Tan; Jian Chen 011 (ICDM, 2017)

Extremely Randomized Forest with Hierarchy of Multi-label Classifiers. - Jinxia Li; Yihan Zheng; Chao Han 002; Qingyao Wu; Jian Chen 011 (IScIDE, 2017)

A Random Walk Tensor Model for Heterogeneous Network Entity Classification. - Chao Han 002; Zhihang Luo; Wenwen Gu; Jian Chen 011 (IEEE Access, 2019)

A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. - Chao Han 002; Jian Chen 011; Mingkui Tan; Michael K. Ng 001; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 2022)

A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. - Chao Han 002; Jian Chen 011; Mingkui Tan; Michael K. Ng 001; Qingyao Wu (ICDE, 2023)