Charles X. Ling

Xiao Li, Charles X. Ling, Huaimin Wang: Effective Top-Down Active Learning for Hierarchical Text Classification. PAKDD (2) 2013: 233-244

Eileen A. Ni, Da Kuang, Charles X. Ling: Decisive Supervised Learning. PAKDD (1) 2013: 426-437

Nima Mirbakhsh, Charles X. Ling: Clustering-Based Matrix Factorization. CoRR abs/1301.6659 (2013)

Huadong Ma, Chengbin Zeng, Charles X. Ling: A Reliable People Counting System via Multiple Cameras. ACM TIST 3(2): 31 (2012)

Xiao Li, Da Kuang, Charles X. Ling: Active Learning for Hierarchical Text Classification. PAKDD (1) 2012: 14-25

Da Kuang, Charles X. Ling, Jun Du: Foundation of Mining Class-Imbalanced Data. PAKDD (1) 2012: 219-230

Eileen A. Ni, Charles X. Ling: Active Learning with c-Certainty. PAKDD (1) 2012: 231-242

Zhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang: A clustering-based differential evolution for global optimization. Appl. Soft Comput. 11(1): 1363-1379 (2011)

Charles X. Ling: Introduction to special issue on machine learning for business applications. ACM TIST 2(3): 18 (2011)

Jun Du, Charles X. Ling, Zhi-Hua Zhou: When Does Cotraining Work in Real Data? IEEE Trans. Knowl. Data Eng. 23(5): 788-799 (2011)

Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li: Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(2): 397-413 (2011)

Eileen A. Ni, Charles X. Ling: Direct Marketing with Fewer Mistakes. ADMA (1) 2011: 256-269

Eileen A. Ni, Charles X. Ling: Learning with Guaranteed Label Quality. ICMLA (1) 2011: 490-495

Da Kuang, Xiao Li, Charles X. Ling: A New Search Engine Integrating Hierarchical Browsing and Keyword Search. IJCAI 2011: 2464-2469

Jianfeng Du, Yong Hu, Charles X. Ling, Ming Fan, Mei Liu: Efficient Action Extraction with Many-to-Many Relationship between Actions and Features. LORI 2011: 384-385

Jun Du, Charles X. Ling: Asking Generalized Queries with Minimum Cost. PAKDD (2) 2011: 395-406

Jun Du, Charles X. Ling: Active Teaching for Inductive Learners. SDM 2011: 851-861

Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li: A real-coded biogeography-based optimization with mutation. Applied Mathematics and Computation 216(9): 2749-2758 (2010)

Wenyin Gong, Zhihua Cai, Charles X. Ling: DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization. Soft Comput. 15(4): 645-665 (2010)

Jun Du, Charles X. Ling: Asking Generalized Queries to Domain Experts to Improve Learning. IEEE Trans. Knowl. Data Eng. 22(6): 812-825 (2010)

Jun Du, Eileen A. Ni, Charles X. Ling: Adapting cost-sensitive learning for reject option. CIKM 2010: 1865-1868

Jun Du, Charles X. Ling: Active Learning with Human-Like Noisy Oracle. ICDM 2010: 797-802

Eileen A. Ni, Charles X. Ling: Supervised Learning with Minimal Effort. PAKDD (2) 2010: 476-487

Jun Du, Charles X. Ling: Asking Generalized Queries to Ambiguous Oracle. ECML/PKDD (1) 2010: 377-392

Charles X. Ling, Victor S. Sheng: Class Imbalance Problem. Encyclopedia of Machine Learning 2010: 171

Charles X. Ling, Victor S. Sheng: Cost-Sensitive Learning. Encyclopedia of Machine Learning 2010: 231-235

Junfa Liu, Yiqiang Chen, Chunyan Miao, Jinjing Xie, Charles X. Ling, Xingyu Gao, Wen Gao: Semi-Supervised Learning in Reconstructed Manifold Space for 3D Caricature Generation. Comput. Graph. Forum 28(8): 2104-2116 (2009)

Jun Du, Charles X. Ling: Co-Training on Handwritten Digit Recognition. Canadian Conference on AI 2009: 203-206

Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du: Hybrid differential evolution based on fuzzy C-means clustering. GECCO 2009: 523-530

Jun Du, Charles X. Ling: Active Learning with Generalized Queries. ICDM 2009: 120-128

Wenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang: A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. ISICA 2009: 151-162

Charles X. Ling, Jun Du, Zhi-Hua Zhou: When does Co-training Work in Real Data?. PAKDD 2009: 596-603

Victor S. Sheng, Charles X. Ling: Cost-Sensitive Learning. Encyclopedia of Data Warehousing and Mining 2009: 339-345

Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang: Semi-supervised Self-training for Sentence Subjectivity Classification. Canadian Conference on AI 2008: 344-355

Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin: Discriminative parameter learning for Bayesian networks. ICML 2008: 1016-1023

Charles X. Ling, Jun Du: Active learning with direct query construction. KDD 2008: 480-487

Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin: Proper Model Selection with Significance Test. ECML/PKDD (1) 2008: 536-547

Changjie Tang, Charles X. Ling, Xiaofang Zhou, Nick Cercone, Xue Li (Eds.): Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings. Lecture Notes in Computer Science 5139, Springer 2008, isbn 978-3-540-88191-9

Yiqiu Han, Wai Lam, Charles X. Ling: Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007)

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)

Jun Du, Zhihua Cai, Charles X. Ling: Cost-Sensitive Decision Trees with Pre-pruning. Canadian Conference on AI 2007: 171-179

Victor S. Sheng, Charles X. Ling: Roulette Sampling for Cost-Sensitive Learning. ECML 2007: 724-731

Jin Huang, Charles X. Ling: Constructing New and Better Evaluation Measures for Machine Learning. IJCAI 2007: 859-864

Jinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling: A Multi-Objective Genetic Algorithm Based on Density. ISICA 2007: 12-25

Victor S. Sheng, Charles X. Ling: Partial example acquisition in cost-sensitive learning. KDD 2007: 638-646

Robert J. Yan, Charles X. Ling: Machine learning for stock selection. KDD 2007: 1038-1042

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)

Charles X. Ling, Qiang Yang: Discovering Classification from Data of Multiple Sources. Data Min. Knowl. Discov. 12(2-3): 181-201 (2006)

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)

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)

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)

Victor S. Sheng, Charles X. Ling: Thresholding for Making Classifiers Cost-sensitive. AAAI 2006: 476-481

Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang: Cost-Sensitive Test Strategies. AAAI 2006: 482-487

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

Chong Huang, YongHong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang: Keyphrase Extraction Using Semantic Networks Structure Analysis. ICDM 2006: 275-284

Jin Huang, Charles X. Ling: Constructing Ensembles for Better Ranking. ICDM 2006: 902-906

Victor S. Sheng, Charles X. Ling: Feature value acquisition in testing: a sequential batch test algorithm. ICML 2006: 809-816

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

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)

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)

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)

Jin Huang, Charles X. Ling: Using AUC and Accuracy in Evaluating Learning Algorithms. IEEE Trans. Knowl. Data Eng. 17(3): 299-310 (2005)

Jin Huang, Charles X. Ling: Using AUC and Accuracy in Evaluating Learning Algorithms - Appendices. IEEE Trans. Knowl. Data Eng. 17(3) (2005)

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)

Shengli Sheng, Charles X. Ling, Qiang Yang: Simple Test Strategies for Cost-Sensitive Decision Trees. ECML 2005: 365-376

Jin Huang, Charles X. Ling: Partial Ensemble Classifiers Selection for Better Ranking. ICDM 2005: 653-656

Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji: Predicting Software Escalations with Maximum ROI. ICDM 2005: 717-720

Shengli Sheng, Charles X. Ling: Hybrid Cost-Sensitive Decision Tree. PKDD 2005: 274-284

Jin Huang, Charles X. Ling: Rank Measures for Ordering. PKDD 2005: 503-510

Jin Huang, Charles X. Ling: Dynamic Ensemble Re-Construction for Better Ranking. PKDD 2005: 511-518

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)

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

Jianning Wang, Charles X. Ling: Artificial Aging of Faces by Support Vector Machines. Canadian Conference on AI 2004: 499-503

Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling: Test-Cost Sensitive Naive Bayes Classification. ICDM 2004: 51-58

Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang: Decision trees with minimal costs. ICML 2004

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

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

Harry Zhang, Charles X. Ling: Numeric Mapping and Learnability of Naive Bayes. Applied Artificial Intelligence 17(5-6): 507-518 (2003)

Jean-Luc Koning, Charles X. Ling: Cognitive agents and multiagent interaction. Cognitive Systems Research 4(3): 167-168 (2003)

Charles X. Ling, Jin Huang, Harry Zhang: AUC: A Better Measure than Accuracy in Comparing Learning Algorithms. Canadian Conference on AI 2003: 329-341

Harry Zhang, Charles X. Ling: A Fundamental Issue of Naive Bayes. Canadian Conference on AI 2003: 591-595

Jin Huang, Jingjing Lu, Charles X. Ling: Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy. ICDM 2003: 553-556

Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen: Postprocessing Decision Trees to Extract Actionable Knowledge. ICDM 2003: 685-688

Charles X. Ling, Robert J. Yan: Decision Tree with Better Ranking. ICML 2003: 480-487

Charles X. Ling, Jin Huang, Harry Zhang: AUC: a Statistically Consistent and more Discriminating Measure than Accuracy. IJCAI 2003: 519-526

Yiqiang Chen, Wen Gao, Lijuan Duan, Xiang Chen, Charles X. Ling: Intelligent Protein 3D Structure Retrieval System. ISMIS 2003: 108-115

Charles X. Ling, Nick Cercone: Editorial Notes. Int. J. Found. Comput. Sci. 13(4): 473-475 (2002)

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)

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)

Charles X. Ling, Huajie Zhang: The Representational Power of Discrete Bayesian Networks. Journal of Machine Learning Research 3: 709-721 (2002)

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)

Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng: Mining Optimal Actions for Profitable CRM. ICDM 2002: 767-770

Huajie Zhang, Charles X. Ling: Representational Upper Bounds of Bayesian Networks. ICML 2002: 674-681

Charles X. Ling, Huajie Zhang: Toward Bayesian Classifiers with Accurate Probabilities. PAKDD 2002: 123-134

Huajie Zhang, Charles X. Ling: Geometric Properties of Naive Bayes in Nominal Domains. ECML 2001: 588-599

Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang: Mining Generalized Query Patterns from Web Logs. HICSS 2001

Huajie Zhang, Charles X. Ling: Learnability of Augmented Naive Bayes in Nonimal Domains. ICML 2001: 617-623

Huajie Zhang, Charles X. Ling: An Improved Learning Algorithm for Augmented Naive Bayes. PAKDD 2001: 581-586

Huajie Zhang, Charles X. Ling, Zhiduo Zhao: The Learnability of Naive Bayes. Canadian Conference on AI 2000: 432-441

Ron Sun, Charles X. Ling: Computational Cognitive Modeling, the Source of Power, and Other Related Issues. AI Magazine 19(2): 113-120 (1998)

Charles X. Ling, Bei Zhang: Grapheme Generation in Learning to Read English Words. Canadian Conference on AI 1998: 184-195

Charles X. Ling, Chenghui Li: Data Mining for Direct Marketing: Problems and Solutions. KDD 1998: 73-79

Charles X. Ling, Hangdong Wang: Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms. Artif. Intell. Rev. 11(1-5): 255-272 (1997)

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)

Charles X. Ling, Handong Wang: Alignment Algorithms for Learning to Read Aloud. IJCAI (2) 1997: 874-879

William C. Schmidt, Charles X. Ling: A Decision-Tree Model of Balance Scale Development. Machine Learning 24(3): 203-230 (1996)

Charles X. Ling, Handong Wang: Learning Classifications from Multiple Sources of Unsupervised Data. Canadian Conference on AI 1996: 284-295

Charles X. Ling: Overfitting and generalization in learning discrete patterns. Neurocomputing 8(3): 341-347 (1995)

Charles X. Ling, Marin Marinov: A Symbolic Model of the Nonconscious Acquisition of Information. Cognitive Science 18(4): 595-621 (1994)

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)

David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin: Inverting Implication with Small Training Sets. ECML 1994: 31-48

David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin: Learning Recursive Relations with Randomly Selected Small Training Sets. ICML 1994: 12-18

Charles X. Ling: Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models. CoRR cs.AI/9402101 (1994)

Charles X. Ling, Ralph Buchal: Learning to Control Dynamic Systems with Automatic Quantization. ECML 1993: 372-377

Stephane Lapointe, Charles X. Ling, Stan Matwin: Constructive Inductive Logic Programming. IJCAI 1993: 1030-1036

Charles X. Ling, Steven Cherwenka, Marin Marinov: A Symbolic Model for Learning the Past-Tenses of English Verbs. IJCAI 1993: 1143-1149

Charles X. Ling: Inductive Learning from Good Examples. IJCAI 1991: 751-756