| 2012 | ICMLC | Fuzzy support vector machine based on non-equilibrium data. | Da-Zeng Tian, Gui-Bing Peng, Minghu Ha |
| 2011 | ICMLC | The key theorem of learning theory based on hybrid variable. | Xiao-Jing Sun, Chao Wang, Minghu Ha, Da-Zeng Tian |
| 2011 | ICMLC | Intuitionistic fuzzy random variables. | Chao Wang, Minghu Ha, Yijun Fan, Jiqiang Chen |
| 2011 | SMC | A comparative experimental study of feature-weight learning approaches. | Hong-Jie Xing, Xizhao Wang, Minghu Ha |
| 2010 | ICMLC | Sugeno rough set model under the fuzzy relation. | Shu-Xiang Wei, Minghu Ha, Yao-Feng Liu |
| 2010 | ICMLC | Implementation of rough fuzzy k-means clustering algorithm in Matlab. | Jun-Hao Zhang, Minghu Ha, Jing Wu |
| 2009 | ISNN | The Key Theorem of Learning Theory on Uncertainty Space. | Shujing Yan, Minghu Ha, Xiankun Zhang, Chao Wang |
| 2009 | ISNN | The Bounds on the Rate of Uniform Convergence of Learning Process on Uncertainty Space. | Xiankun Zhang, Minghu Ha, Jing Wu, Chao Wang |
| 2008 | IJCNN | A novel support vector machine with its features weighted by mutual information. | Hong-Jie Xing, Minghu Ha, Da-Zeng Tian, Bao-Gang Hu |
| 2008 | ISKE | Support vector machine learning from positive and unlabeled samples. | Ai-bing Ji, Qiming Niu, Minghu Ha |
| 2005 | ICMLC | Optical Font Recognition of Chinese Characters Based on Texture Features. | Minghu Ha, Xuedong Tian |
| 2005 | ICMLC | Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach. | Dongmei Huang, Minghu Ha, Ya-min Li, Eric C. C. Tsang |