Charles X. Ling

	2009
87		Jun Du, Charles X. Ling: Co-Training on Handwritten Digit Recognition. Canadian Conference on AI 2009: 203-206
86		Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du: Hybrid differential evolution based on fuzzy C-means clustering. GECCO 2009: 523-530
85		Wenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang: A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. ISICA 2009: 151-162
84		Charles X. Ling, Jun Du, Zhi-Hua Zhou: When does Co-training Work in Real Data?. PAKDD 2009: 596-603
	2008
83		Changjie Tang, Charles X. Ling, Xiaofang Zhou, Nick Cercone, Xue Li: Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings Springer 2008
82		Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang: Semi-supervised Self-training for Sentence Subjectivity Classification. Canadian Conference on AI 2008: 344-355
81		Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin: Proper Model Selection with Significance Test. ECML/PKDD (1) 2008: 536-547
80		Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin: Discriminative parameter learning for Bayesian networks. ICML 2008: 1016-1023
79		Charles X. Ling, Jun Du: Active learning with direct query construction. KDD 2008: 480-487
	2007
78		Jun Du, Zhihua Cai, Charles X. Ling: Cost-Sensitive Decision Trees with Pre-pruning. Canadian Conference on AI 2007: 171-179
77		Victor S. Sheng, Charles X. Ling: Roulette Sampling for Cost-Sensitive Learning. ECML 2007: 724-731
76		Jin Huang, Charles X. Ling: Constructing New and Better Evaluation Measures for Machine Learning. IJCAI 2007: 859-864
75		Jinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling: A Multi-Objective Genetic Algorithm Based on Density. ISICA 2007: 12-25
74		Robert J. Yan, Charles X. Ling: Machine learning for stock selection. KDD 2007: 1038-1042
73		Victor S. Sheng, Charles X. Ling: Partial example acquisition in cost-sensitive learning. KDD 2007: 638-646
72		Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan: Extracting Actionable Knowledge from Decision Trees. IEEE Trans. Knowl. Data Eng. 19(1): 43-56 (2007)
71		Yiqiu Han, Wai Lam, Charles X. Ling: Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007)
	2006
70		Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang: Cost-Sensitive Test Strategies. AAAI 2006
69		Victor S. Sheng, Charles X. Ling: Thresholding for Making Classifiers Cost-sensitive. AAAI 2006
68		Wenyin Gong, Zhihua Cai, Charles X. Ling: ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. Australian Conference on Artificial Intelligence 2006: 709-718
67		Chong Huang, YongHong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang: Keyphrase Extraction Using Semantic Networks Structure Analysis. ICDM 2006: 275-284
66		Jin Huang, Charles X. Ling: Constructing Ensembles for Better Ranking. ICDM 2006: 902-906
65		Victor S. Sheng, Charles X. Ling: Feature value acquisition in testing: a sequential batch test algorithm. ICML 2006: 809-816
64		Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji: Maximum profit mining and its application in software development. KDD 2006: 929-934
63		Dequan Li, Wen Gao, Charles X. Ling, Xiaobiao Wang, Ruixiang Sun, Simin He: IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics. Bioinformatics 22(20): 2572-2573 (2006)
62		Charles X. Ling, Qiang Yang: Discovering Classification from Data of Multiple Sources. Data Min. Knowl. Discov. 12(2-3): 181-201 (2006)
61		YongHong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao: Learning Contextual Dependency Network Models for Link-Based Classification. IEEE Trans. Knowl. Data Eng. 18(11): 1482-1496 (2006)
60		Qiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan: Test-Cost Sensitive Classification on Data with Missing Values. IEEE Trans. Knowl. Data Eng. 18(5): 626-638 (2006)
59		Charles X. Ling, Victor S. Sheng, Qiang Yang: Test Strategies for Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 18(8): 1055-1067 (2006)
	2005
58		Shengli Sheng, Charles X. Ling, Qiang Yang: Simple Test Strategies for Cost-Sensitive Decision Trees. ECML 2005: 365-376
57		Jin Huang, Charles X. Ling: Partial Ensemble Classifiers Selection for Better Ranking. ICDM 2005: 653-656
56		Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji: Predicting Software Escalations with Maximum ROI. ICDM 2005: 717-720
55		Shengli Sheng, Charles X. Ling: Hybrid Cost-Sensitive Decision Tree. PKDD 2005: 274-284
54		Jin Huang, Charles X. Ling: Rank Measures for Ordering. PKDD 2005: 503-510
53		Jin Huang, Charles X. Ling: Dynamic Ensemble Re-Construction for Better Ranking. PKDD 2005: 511-518
52		Dequan Li, Yan Fu, Ruixiang Sun, Charles X. Ling, Yonggang Wei, Hu Zhou, Rong Zeng, Qiang Yang, Simin He, Wen Gao: pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry. Bioinformatics 21(13): 3049-3050 (2005)
51		Shichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng: "Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 17(12): 1689-1693 (2005)
50		Jin Huang, Charles X. Ling: Using AUC and Accuracy in Evaluating Learning Algorithms - Appendices. IEEE Trans. Knowl. Data Eng. 17(3): (2005)
49		Jin Huang, Charles X. Ling: Using AUC and Accuracy in Evaluating Learning Algorithms. IEEE Trans. Knowl. Data Eng. 17(3): 299-310 (2005)
48		Charles X. Ling, William Stafford Noble, Qiang Yang: Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1. IEEE/ACM Trans. Comput. Biology Bioinform. 2(2): 81-82 (2005)
47		Charles X. Ling, William Stafford Noble, Qiang Yang: Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2. IEEE/ACM Trans. Comput. Biology Bioinform. 2(3): 177-178 (2005)
	2004
46		Jinhua Zheng, Charles X. Ling, Zhongzhi Shi, Juan Xue, Xuyong Li: A Multi-objective Genetic Algorithm Based on Quick Sort. Canadian Conference on AI 2004: 175-186
45		Jianning Wang, Charles X. Ling: Artificial Aging of Faces by Support Vector Machines. Canadian Conference on AI 2004: 499-503
44		Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling: Test-Cost Sensitive Naive Bayes Classification. ICDM 2004: 51-58
43		Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang: Decision trees with minimal costs. ICML 2004
42		Jinhua Zheng, Zhongzhi Shi, Charles X. Ling, Yong Xie: A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms. Intelligent Information Processing 2004: 456-470
41		Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He, Wen Gao: A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics. PRICAI 2004: 544-553
40		Yan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao: Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry. Bioinformatics 20(12): 1948-1954 (2004)
	2003
39		Charles X. Ling, Jin Huang, Harry Zhang: AUC: A Better Measure than Accuracy in Comparing Learning Algorithms. Canadian Conference on AI 2003: 329-341
38		Harry Zhang, Charles X. Ling: A Fundamental Issue of Naive Bayes. Canadian Conference on AI 2003: 591-595
37		Jin Huang, Jingjing Lu, Charles X. Ling: Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy. ICDM 2003: 553-556
36		Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen: Postprocessing Decision Trees to Extract Actionable Knowledge. ICDM 2003: 685-688
35		Charles X. Ling, Robert J. Yan: Decision Tree with Better Ranking. ICML 2003: 480-487
34		Charles X. Ling, Jin Huang, Harry Zhang: AUC: a Statistically Consistent and more Discriminating Measure than Accuracy. IJCAI 2003: 519-526
33		Yiqiang Chen, Wen Gao, Lijuan Duan, Xiang Chen, Charles X. Ling: Intelligent Protein 3D Structure Retrieval System. ISMIS 2003: 108-115
32		Harry Zhang, Charles X. Ling: Numeric Mapping and Learnability of Naive Bayes. Applied Artificial Intelligence 17(5-6): 507-518 (2003)
	2002
31		Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng: Mining Optimal Actions for Profitable CRM. ICDM 2002: 767-770
30		Huajie Zhang, Charles X. Ling: Representational Upper Bounds of Bayesian Networks. ICML 2002: 674-681
29		Charles X. Ling, Huajie Zhang: Toward Bayesian Classifiers with Accurate Probabilities. PAKDD 2002: 123-134
28		Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang: Improving Encarta Search Engine Performance by Mining User Logs. IJPRAI 16(8): 1101-1116 (2002)
27		Charles X. Ling, Nick Cercone: Editorial Notes. Int. J. Found. Comput. Sci. 13(4): 473-475 (2002)
26		Yiqiang Chen, Wen Gao, Tingshao Zhu, Charles X. Ling: Learning Prosodic Patterns for Mandarin Speech Synthesis. J. Intell. Inf. Syst. 19(1): 95-109 (2002)
25		Charles X. Ling, Huajie Zhang: The Representational Power of Discrete Bayesian Networks. Journal of Machine Learning Research 3: 709-721 (2002)
24		Wai Lam, Chi-Kin Keung, Charles X. Ling: Learning good prototypes for classification using filtering and abstraction of instances. Pattern Recognition 35(7): 1491-1506 (2002)
	2001
23		Huajie Zhang, Charles X. Ling: Geometric Properties of Naive Bayes in Nominal Domains. ECML 2001: 588-599
22		Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang: Mining Generalized Query Patterns from Web Logs. HICSS 2001
21		Huajie Zhang, Charles X. Ling: Learnability of Augmented Naive Bayes in Nonimal Domains. ICML 2001: 617-623
20		Huajie Zhang, Charles X. Ling: An Improved Learning Algorithm for Augmented Naive Bayes. PAKDD 2001: 581-586
	2000
19		Huajie Zhang, Charles X. Ling, Zhiduo Zhao: The Learnability of Naive Bayes. Canadian Conference on AI 2000: 432-441
	1998
18		Charles X. Ling, Bei Zhang: Grapheme Generation in Learning to Read English Words. Canadian Conference on AI 1998: 184-195
17		Charles X. Ling, Chenghui Li: Data Mining for Direct Marketing: Problems and Solutions. KDD 1998: 73-79
16		Ron Sun, Charles X. Ling: Computational Cognitive Modeling, the Source of Power, and Other Related Issues. AI Magazine 19(2): 113-120 (1998)
	1997
15		Charles X. Ling, Handong Wang: Alignment Algorithms for Learning to Read Aloud. IJCAI (2) 1997: 874-879
14		Charles X. Ling, Hangdong Wang: Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms. Artif. Intell. Rev. 11(1-5): 255-272 (1997)
13		Charles X. Ling, John J. Parry, Hangdong Wang: Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5. IJPRAI 11(3): 405-415 (1997)
	1996
12		Charles X. Ling, Handong Wang: Learning Classifications from Multiple Sources of Unsupervised Data. Canadian Conference on AI 1996: 284-295
11		William C. Schmidt, Charles X. Ling: A Decision-Tree Model of Balance Scale Development. Machine Learning 24(3): 203-230 (1996)
	1995
10		Charles X. Ling: Overfitting and generalization in learning discrete patterns. Neurocomputing 8(3): 341-347 (1995)
	1994
9		David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin: Inverting Implication with Small Training Sets. ECML 1994: 31-48
8		David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin: Learning Recursive Relations with Randomly Selected Small Training Sets. ICML 1994: 12-18
7		Charles X. Ling: Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models CoRR cs.AI/9402101: (1994)
6		Charles X. Ling, Marin Marinov: A Symbolic Model of the Nonconscious Acquisition of Information. Cognitive Science 18(4): 595-621 (1994)
5		Charles X. Ling: Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models. J. Artif. Intell. Res. (JAIR) 1: 209-229 (1994)
	1993
4		Charles X. Ling, Ralph Buchal: Learning to Control Dynamic Systems with Automatic Quantization. ECML 1993: 372-377
3		Stephane Lapointe, Charles X. Ling, Stan Matwin: Constructive Inductive Logic Programming. IJCAI 1993: 1030-1036
2		Charles X. Ling, Steven Cherwenka, Marin Marinov: A Symbolic Model for Learning the Past-Tenses of English Verbs. IJCAI 1993: 1143-1149
	1991
1		Charles X. Ling: Inductive Learning from Good Examples. IJCAI 1991: 751-756

Coauthor Index

1	David W. Aha	[8] [9]
2	Tilmann F. W. Bruckhaus	[56] [64]
3	Ralph Buchal	[4]
4	Zhihua Cai	[68] [78] [85] [86]
5	Nick Cercone	[27] [83]
6	Xiaoyong Chai	[44] [60]
7	Tielin Chen	[31] [36]
8	Xiang Chen	[33]
9	Yiqiang Chen	[26] [33] [41]
10	Jie Cheng	[31]
11	Steven Cherwenka	[2]
12	Lin Deng	[44]
13	Jun Du	[78] [79] [84] [86] [87]
14	Lijuan Duan	[33]
15	Yan Fu	[40] [41] [52]
16	Jianfeng Gao	[22] [28]
17	Wen Gao	[26] [33] [40] [41] [52] [61] [63]
18	Wenyin Gong	[68] [85] [86]
19	Yiqiu Han	[71]
20	Simin He	[41] [52] [63]
21	Bo Huang	[85]
22	Chong Huang	[67]
23	Jin Huang	[34] [37] [39] [49] [50] [53] [54] [57] [66] [76] [81]
24	Tiejun Huang	[61] [67]
25	Chi-Kin Keung	[24]
26	Wai Lam	[24] [71]
27	Stephane Lapointe	[3] [8] [9]
28	Chenghui Li	[17]
29	Dequan Li	[40] [41] [52] [63]
30	Xue Li	[83]
31	Xuyong Li	[46] [75]
32	Jingjing Lu	[37]
33	Nazim H. Madhavji	[56] [64]
34	Marin Marinov	[2] [6]
35	Stan Matwin	[3] [8] [9] [80] [81]
36	Ailing Ni	[70]
37	William Stafford Noble	[47] [48]
38	Rong Pan	[60] [72]
39	John J. Parry	[13]
40	Weining Qian	[22] [28]
41	Zhenxing Qin	[51]
42	William C. Schmidt	[11]
43	Shengli Sheng	[51] [55] [56] [58] [70]
44	Victor S. Sheng	[59] [64] [65] [69] [73] [77]
45	Zhongzhi Shi	[42] [46]
46	Wu Song	[75]
47	Bruce Spencer	[82]
48	Jiang Su	[80]
49	Ron Sun	[16]
50	Ruixiang Sun	[40] [41] [52] [63]
51	Changjie Tang (Chang-jie Tang)	[83]
52	YongHong Tian	[61] [67]
53	Bin Wang	[82]
54	Haipeng Wang	[41]
55	Handong Wang	[12] [15]
56	Hangdong Wang	[13] [14]
57	Jianning Wang	[43] [45]
58	Xiaobiao Wang	[63]
59	Yonggang Wei	[52]
60	Guixia Xiao	[75]
61	Yong Xie	[42]
62	Juan Xue	[46]
63	Robert J. Yan	[35] [74]
64	Qiang Yang	[31] [36] [40] [41] [43] [44] [47] [48] [52] [58] [59] [60] [61] [62] [72]
65	Jie Yin	[36] [72]
66	Rong Zeng	[40] [41] [52]
67	Bei Zhang	[18]
68	Harry Zhang	[32] [34] [38] [39] [80] [81] [82]
69	HongJiang Zhang (Hong-Jiang Zhang)	[22] [28]
70	Huajie Zhang	[19] [20] [21] [22] [23] [25] [28] [29] [30]
71	Shichao Zhang	[43] [51] [70]
72	Zhiduo Zhao	[19]
73	Jinhua Zheng	[42] [46] [75]
74	Hu Zhou	[41] [52]
75	Xiaofang Zhou	[83]
76	Zhi Zhou	[67]
77	Zhi-Hua Zhou	[84]
78	Tingshao Zhu	[26]

Colors in the list of coauthors