[21] Michael R. Lyu ,  Irwin King ,  and  Zenglin Xu ,  Feature selection based on mini-mum error minimax probability machinevol. 21, no. 8, pp. 1-14, Aug 2007.

[22] Michael R. Lyu ,  Irwin King ,  Jianke Zhu ,  Kaizhu Huang ,  and  Zenglin Xu ,  A novel kernel-based maximum a posteriori classification methodvol. 22, no. 7, pp. 977-987, Aug 2009.

[23] Rong Jin ,  Michael R. Lyu ,  Irwin King ,  and  Zenglin Xu ,  Discriminative semi-supervised feature selection via manifold regularizationvol. 21, no. 7, pp. 1033-1047, Aug 2010.

[24] Michael R. Lyu ,  Irwin King ,  Jieping Ye ,  Zenglin Xu ,  and  Haiqin Yang ,  Efficient sparse generalized multiple kernel learningvol. 22, no. 3, pp. 433-446, Aug 2011.

[25] Yuan (Alan) Qi ,  Feng Yan ,  and  Zenglin Xu ,  Bayesian nonparametric models for multiway data analysisAug 2014.

[26] Zhangbin Zhou ,  Michael R. Lyu ,  Irwin King ,  Zenglin Xu ,  and  Kaizhu Huang ,  A novel discriminative naive Bayesian network for classification, In A. Mittal and A. Kassim, editors, pp. 1-12, Aug 2007.

[27] Irwin King ,  Mingzhen Mo ,  and  Zenglin Xu ,  Computational intelligence, Semi-supervised Learning, pp. 1-16, Aug 2012.

[28] Michael R. Lyu ,  Irwin King ,  and  Zenglin Xu ,  More Than Semi-supervised Learning: A Uni ed View on Learning with Labeled and Unlabeled Data

[29] Ziad Al Bawab ,  Jiang Bian ,  Zenglin Xu ,  and  Yi Fang ,  International Journal of Web Science, Special Issue on Social Web Search and Mining

[30] Irwin King and  Zenglin Xu ,  Introduction to Semi-supervised Learning