Liangxiao Jiang

	2012
37		Liangxiao Jiang, Dianhong Wang, Zhihua Cai: Discriminatively Weighted Naive Bayes and its Application in Text Classification. International Journal on Artificial Intelligence Tools 21(1): (2012)
36		Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang: Weighted average of one-dependence estimators†. J. Exp. Theor. Artif. Intell. 24(2): 219-230 (2012)
35		Liangxiao Jiang: Learning Instance Weighted Naive Bayes from labeled and unlabeled data. J. Intell. Inf. Syst. 38(1): 257-268 (2012)
34		Dianhong Wang, Xingwen Liu, Liangxiao Jiang, Xiaoting Zhang, Yongguang Zhao: Rough Set Approach to Multivariate Decision Trees Inducing. JCP 7(4): 870-879 (2012)
33		Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang: Improving Tree augmented Naive Bayes for class probability estimation. Knowl.-Based Syst. 26: 239-245 (2012)
	2011
32		Xingwen Liu, Dianhong Wang, Liangxiao Jiang, Fenxiong Chen, Shengfeng Gan: A novel method for inducing ID3 decision trees based on variable precision rough set. ICNC 2011: 494-497
31		Liangxiao Jiang: Learning random forests for ranking. Frontiers of Computer Science in China 5(1): 79-86 (2011)
30		Liangxiao Jiang, Chaoqun Li: Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination. JCP 6(7): 1325-1331 (2011)
29		Liangxiao Jiang, Chaoqun Li: An Empirical Study on Class Probability Estimates in Decision Tree Learning. JSW 6(7): 1368-1373 (2011)
28		Liangxiao Jiang: Random one-dependence estimators. Pattern Recognition Letters 32(3): 532-539 (2011)
	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] [33] [36] [37]
2	Fenxiong Chen	[32]
3	Shengfeng Gan	[32]
4	Wenyin Gong	[23]
5	Yuanyuan Guo	[1]
6	Bo Huang	[22]
7	Siwei Jiang	[11] [12] [19]
8	Chaoqun Li	[10] [24] [25] [26] [29] [30]
9	Xingwen Liu	[32] [34]
10	Jiang Su	[2] [4] [5] [6] [7] [8]
11	Dianhong Wang	[16] [17] [18] [19] [20] [21] [22] [32] [33] [34] [36] [37]
12	Jia Wu	[24]
13	Xuesong Yan	[21]
14	Dan Zeng	[11] [12]
15	Harry Zhang	[2] [3] [4] [5] [6] [7] [8] [9] [13] [14] [15] [20] [22] [27] [33] [36]
16	Sifa Zhang	[11] [12]
17	Xiaoting Zhang	[34]
18	Yongguang Zhao	[34]
19	Jian Zhu	[24]

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