Liangxiao Jiang

	2009
27		Liangxiao Jiang, Harry Zhang, Zhihua Cai: A Novel Bayes Model: Hidden Naive Bayes. IEEE Trans. Knowl. Data Eng. 21(10): 1361-1371 (2009)
26		Liangxiao Jiang, Chaoqun Li, Zhihua Cai: Decision Tree with Better Class Probability Estimation. IJPRAI 23(4): 745-763 (2009)
25		Liangxiao Jiang, Chaoqun Li, Zhihua Cai: Learning decision tree for ranking. Knowl. Inf. Syst. 20(1): 123-135 (2009)
	2008
24		Liangxiao Jiang, Chaoqun Li, Jia Wu, Jian Zhu: A Combined Classification Algorithm Based on C4.5 and NB. ISICA 2008: 350-359
23		Wenyin Gong, Zhihua Cai, Liangxiao Jiang: Enhancing the performance of differential evolution using orthogonal design method. Applied Mathematics and Computation 206(1): 56-69 (2008)
22		Liangxiao Jiang, Dianhong Wang, Harry Zhang, Zhihua Cai, Bo Huang: Using Instance cloning to Improve Naive Bayes for Ranking. IJPRAI 22(6): 1121-1140 (2008)
	2007
21		Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan: Survey of Improving Naive Bayes for Classification. ADMA 2007: 134-145
20		Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai: Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science 2007: 104-115
19		Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Siwei Jiang: Survey of Improving K-Nearest-Neighbor for Classification. FSKD (1) 2007: 679-683
18		Dianhong Wang, Liangxiao Jiang: An Improved Attribute Selection Measure for Decision Tree Induction. FSKD (4) 2007: 654-658
17		Zhihua Cai, Dianhong Wang, Liangxiao Jiang: K-Distributions: A New Algorithm for Clustering Categorical Data. ICIC (2) 2007: 436-443
16		Liangxiao Jiang, Dianhong Wang, Zhihua Cai: Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate. ICIC (2) 2007: 475-484
	2006
15		Liangxiao Jiang, Harry Zhang: Learning Naive Bayes for Probability Estimation by Feature Selection. Canadian Conference on AI 2006: 503-514
14		Liangxiao Jiang, Harry Zhang: Lazy Averaged One-Dependence Estimators. Canadian Conference on AI 2006: 515-525
13		Liangxiao Jiang, Harry Zhang, Zhihua Cai: Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. FSKD 2006: 365-368
12		Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang: Augmented Naive Bayes Based on Evolutional Strategy. ISDA (1) 2006: 446-450
11		Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang: A Novel One-dependence Estimator Based on Multi-parents. ISDA (1) 2006: 639-643
10		Chaoqun Li, Liangxiao Jiang: Using Locally Weighted Learning to Improve SMOreg for Regression. PRICAI 2006: 375-384
9		Liangxiao Jiang, Harry Zhang: Weightily Averaged One-Dependence Estimators. PRICAI 2006: 970-974
	2005
8		Harry Zhang, Liangxiao Jiang, Jiang Su: Hidden Naive Bayes. AAAI 2005: 919-924
7		Liangxiao Jiang, Harry Zhang, Jiang Su: Learning k-Nearest Neighbor Naive Bayes for Ranking. ADMA 2005: 175-185
6		Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su: One Dependence Augmented Naive Bayes. ADMA 2005: 186-194
5		Liangxiao Jiang, Harry Zhang, Jiang Su: Instance Cloning Local Naive Bayes. Canadian Conference on AI 2005: 280-291
4		Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su: Learning Tree Augmented Naive Bayes for Ranking. DASFAA 2005: 688-698
3		Liangxiao Jiang, Harry Zhang: Learning Instance Greedily Cloning Naive Bayes for Ranking. ICDM 2005: 202-209
2		Harry Zhang, Liangxiao Jiang, Jiang Su: Augmenting naive Bayes for ranking. ICML 2005: 1020-1027
1		Liangxiao Jiang, Yuanyuan Guo: Learning Lazy Naive Bayesian Classifiers for Ranking. ICTAI 2005: 412-416

Coauthor Index

1	Zhihua Cai	[4] [6] [11] [12] [13] [16] [17] [19] [20] [21] [22] [23] [25] [26] [27]
2	Wenyin Gong	[23]
3	Yuanyuan Guo	[1]
4	Bo Huang	[22]
5	Siwei Jiang	[11] [12] [19]
6	Chaoqun Li	[10] [24] [25] [26]
7	Jiang Su	[2] [4] [5] [6] [7] [8]
8	Dianhong Wang	[16] [17] [18] [19] [20] [21] [22]
9	Jia Wu	[24]
10	Xuesong Yan	[21]
11	Dan Zeng	[11] [12]
12	Harry Zhang	[2] [3] [4] [5] [6] [7] [8] [9] [13] [14] [15] [20] [22] [27]
13	Sifa Zhang	[11] [12]
14	Jian Zhu	[24]

Colors in the list of coauthors