| 2006 | IDEAL | Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition Attributes. | Honghai Feng, Hao Xu, Baoyan Liu, Bingru Yang, Zhuye Gao, Yueli Li |
| 2006 | KES | Using Rough Set to Induce More Abstract Rules from Rule Base. | Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li, Zhao Shuo |
| 2006 | KES | An Algorithm for Eliminating the Inconsistencies Caused During Discretization. | Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo |
| 2006 | KES | A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes. | Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li |
| 2006 | KES | Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table. | Honghai Feng, Hao Xu, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li |
| 2005 | KES | Using Rough Set to Induce Comparative Knowledge and Its Use in SARS Data. | Honghai Feng, Yin Cheng, Mingyi Liao, Bingru Yang, Yumei Chen |
| 2005 | KES | A SVM Regression Based Approach to Filling in Missing Values. | Honghai Feng, Chen Guoshun, Yin Cheng, Bingru Yang, Yumei Chen |
| 2005 | KES | Using Rough Set to Reduce SVM Classifier Complexity and Its Use in SARS Data Set. | Honghai Feng, Baoyan Liu, Yin Cheng, Ping Li, Bingru Yang, Yumei Chen |