Harry Zhang

	2009
42		Liangxiao Jiang, Harry Zhang, Zhihua Cai: A Novel Bayes Model: Hidden Naive Bayes. IEEE Trans. Knowl. Data Eng. 21(10): 1361-1371 (2009)
	2008
41		Wanxia Wei, Chu Min Li, Harry Zhang: Switching among Non-Weighting, Clause Weighting, and Variable Weighting in Local Search for SAT. CP 2008: 313-326
40		Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang: Semi-supervised Self-training for Sentence Subjectivity Classification. Canadian Conference on AI 2008: 344-355
39		Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin: Proper Model Selection with Significance Test. ECML/PKDD (1) 2008: 536-547
38		Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin: Discriminative parameter learning for Bayesian networks. ICML 2008: 1016-1023
37		Kari Torkkola, Mike Gardner, Christopher Schreiner, Keshu Zhang, Bob Leivian, Harry Zhang, John Summers: Understanding Driving Activity Using Ensemble Methods. Computational Intelligence in Automotive Applications 2008: 39-58
36		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)
35		Harry Zhang, Jiang Su: Naive Bayes for optimal ranking. J. Exp. Theor. Artif. Intell. 20(2): 79-93 (2008)
34		Wanxia Wei, Chu Min Li, Harry Zhang: A Switching Criterion for Intensification and Diversification in Local Search for SAT. JSAT 4(2-4): 219-237 (2008)
	2007
33		Bin Wang, Harry Zhang: Probability Based Metrics for Locally Weighted Naive Bayes. Canadian Conference on AI 2007: 180-191
32		Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai: Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science 2007: 104-115
31		Keshu Zhang, Kari Torkkola, Haifeng Li, Christopher Schreiner, Harry Zhang, Robert Mike Gardner, Zheng Zhao: A Context Aware Automatic Traffic Notification System for Cell Phones. ICDCS Workshops 2007: 48
30		Harry Zhang, Christopher Schreiner, Keshu Zhang, Kari Torkkola: Naturalistic use of cell phones in driving and context-based user assistance. Mobile HCI 2007: 273-276
29		Chu Min Li, Wanxia Wei, Harry Zhang: Combining Adaptive Noise and Look-Ahead in Local Search for SAT. SAT 2007: 121-133
	2006
28		Jiang Su, Harry Zhang: A Fast Decision Tree Learning Algorithm. AAAI 2006
27		Liangxiao Jiang, Harry Zhang: Learning Naive Bayes for Probability Estimation by Feature Selection. Canadian Conference on AI 2006: 503-514
26		Liangxiao Jiang, Harry Zhang: Lazy Averaged One-Dependence Estimators. Canadian Conference on AI 2006: 515-525
25		Jiang Su, Harry Zhang: Probabilistic Inference Trees for Classification and Ranking. Canadian Conference on AI 2006: 526-537
24		Bin Wang, Harry Zhang: Improving the Ranking Performance of Decision Trees. ECML 2006: 461-472
23		Liangxiao Jiang, Harry Zhang, Zhihua Cai: Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. FSKD 2006: 365-368
22		Jiang Su, Harry Zhang: Full Bayesian network classifiers. ICML 2006: 897-904
21		Han Liang, Harry Zhang, Yuhong Yan: Decision Trees for Probability Estimation: An Empirical Study. ICTAI 2006: 756-764
20		Liangxiao Jiang, Harry Zhang: Weightily Averaged One-Dependence Estimators. PRICAI 2006: 970-974
19		Harry Zhang, Jiang Su: Learning probabilistic decision trees for AUC. Pattern Recognition Letters 27(8): 892-899 (2006)
	2005
18		Jiang Su, Harry Zhang: Representing Conditional Independence Using Decision Trees. AAAI 2005: 874-879
17		Harry Zhang, Liangxiao Jiang, Jiang Su: Hidden Naive Bayes. AAAI 2005: 919-924
16		Liangxiao Jiang, Harry Zhang, Jiang Su: Learning k-Nearest Neighbor Naive Bayes for Ranking. ADMA 2005: 175-185
15		Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su: One Dependence Augmented Naive Bayes. ADMA 2005: 186-194
14		Liangxiao Jiang, Harry Zhang, Jiang Su: Instance Cloning Local Naive Bayes. Canadian Conference on AI 2005: 280-291
13		Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su: Learning Tree Augmented Naive Bayes for Ranking. DASFAA 2005: 688-698
12		Liangxiao Jiang, Harry Zhang: Learning Instance Greedily Cloning Naive Bayes for Ranking. ICDM 2005: 202-209
11		Harry Zhang, Liangxiao Jiang, Jiang Su: Augmenting naive Bayes for ranking. ICML 2005: 1020-1027
10		Harry Zhang: Exploring Conditions For The Optimality Of Naïve Bayes. IJPRAI 19(2): 183-198 (2005)
	2004
9		Harry Zhang, Jiang Su: Naive Bayesian Classifiers for Ranking. ECML 2004: 501-512
8		Harry Zhang, Jiang Su: Conditional Independence Trees. ECML 2004: 513-524
7		Harry Zhang: The Optimality of Naive Bayes. FLAIRS Conference 2004
6		Jiang Su, Harry Zhang: Learning Conditional Independence Tree for Ranking. ICDM 2004: 531-534
5		Harry Zhang, Shengli Sheng: Learning Weighted Naive Bayes with Accurate Ranking. ICDM 2004: 567-570
	2003
4		Charles X. Ling, Jin Huang, Harry Zhang: AUC: A Better Measure than Accuracy in Comparing Learning Algorithms. Canadian Conference on AI 2003: 329-341
3		Harry Zhang, Charles X. Ling: A Fundamental Issue of Naive Bayes. Canadian Conference on AI 2003: 591-595
2		Charles X. Ling, Jin Huang, Harry Zhang: AUC: a Statistically Consistent and more Discriminating Measure than Accuracy. IJCAI 2003: 519-526
1		Harry Zhang, Charles X. Ling: Numeric Mapping and Learnability of Naive Bayes. Applied Artificial Intelligence 17(5-6): 507-518 (2003)

Coauthor Index

1	Zhihua Cai	[13] [15] [23] [32] [36] [42]
2	Mike Gardner	[37]
3	Robert Mike Gardner	[31]
4	Bo Huang	[36]
5	Jin Huang	[2] [4] [39]
6	Liangxiao Jiang	[11] [12] [13] [14] [15] [16] [17] [20] [23] [26] [27] [32] [36] [42]
7	Bob Leivian	[37]
8	Chu Min Li	[29] [34] [41]
9	Haifeng Li	[31]
10	Han Liang	[21]
11	Charles X. Ling	[1] [2] [3] [4] [38] [39] [40]
12	Stan Matwin	[38] [39]
13	Christopher Schreiner	[30] [31] [37]
14	Shengli Sheng	[5]
15	Bruce Spencer	[40]
16	Jiang Su	[6] [8] [9] [11] [13] [14] [15] [16] [17] [18] [19] [22] [25] [28] [35] [38]
17	John Summers	[37]
18	Kari Torkkola	[30] [31] [37]
19	Bin Wang	[24] [33] [40]
20	Dianhong Wang	[32] [36]
21	Wanxia Wei	[29] [34] [41]
22	Yuhong Yan	[21]
23	Keshu Zhang	[30] [31] [37]
24	Zheng Zhao	[31]

Colors in the list of coauthors