Harry Zhang

Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang: Not so greedy: Randomly Selected Naive Bayes. Expert Syst. Appl. 39(12): 11022-11028 (2012)

Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang: Weighted average of one-dependence estimators†. J. Exp. Theor. Artif. Intell. 24(2): 219-230 (2012)

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang: Improving Tree augmented Naive Bayes for class probability estimation. Knowl.-Based Syst. 26: 239-245 (2012)

Yuanyuan Guo, Harry Zhang, Bruce Spencer: Cost-Sensitive Self-Training. Canadian Conference on AI 2012: 74-84

Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang: A Tri-training Based Transfer Learning Algorithm. ICTAI 2012: 698-703

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)

Yuanyuan Guo, Harry Zhang, Xiaobo Liu: Instance Selection in Semi-supervised Learning. Canadian Conference on AI 2011: 158-169

Bin Wang, Harry Zhang, Bruce Spencer, Yuanyuan Guo: The Unsymmetrical-Style Co-training. PAKDD (1) 2011: 100-111

Han Liang, Yuhong Yan, Harry Zhang: Learning Decision Trees with log Conditional Likelihood. IJPRAI 24(1): 117-151 (2010)

Bin Wang, Harry Zhang: Semi-supervised Probability Propagation on Instance-Attribute Graphs. Canadian Conference on AI 2010: 161-172

Joe Tullio, Elaine M. Huang, David Wheatley, Harry Zhang, Claudia V. S. Guerrero, Amruta Tamdoo: Experience, adjustment, and engagement: the role of video in law enforcement. CHI 2010: 1505-1514

Yuanyuan Guo, Xiaoda Niu, Harry Zhang: An Extensive Empirical Study on Semi-supervised Learning. ICDM 2010: 186-195

Young Seok Lee, Santosh Basapur, Harry Zhang, Claudia V. S. Guerrero, Noel Massey: Usability evaluation of beep-to-the-box. Mobile HCI 2010: 345-348

Liangxiao Jiang, Harry Zhang, Zhihua Cai: A Novel Bayes Model: Hidden Naive Bayes. IEEE Trans. Knowl. Data Eng. 21(10): 1361-1371 (2009)

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)

Harry Zhang, Jiang Su: Naive Bayes for optimal ranking. J. Exp. Theor. Artif. Intell. 20(2): 79-93 (2008)

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)

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

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

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

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

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

Bin Wang, Harry Zhang: Probability Based Metrics for Locally Weighted Naive Bayes. Canadian Conference on AI 2007: 180-191

Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai: Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science 2007: 104-115

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

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

Chu Min Li, Wanxia Wei, Harry Zhang: Combining Adaptive Noise and Look-Ahead in Local Search for SAT. SAT 2007: 121-133

Harry Zhang, Matthew R. H. Smith, Gerald J. Witt: Identification of Real-Time Diagnostic Measures of Visual Distraction With an Automatic Eye-Tracking System. Human Factors 48(4): 805-821 (2006)

Harry Zhang, Jiang Su: Learning probabilistic decision trees for AUC. Pattern Recognition Letters 27(8): 892-899 (2006)

Jiang Su, Harry Zhang: A Fast Decision Tree Learning Algorithm. AAAI 2006: 500-505

Liangxiao Jiang, Harry Zhang: Learning Naive Bayes for Probability Estimation by Feature Selection. Canadian Conference on AI 2006: 503-514

Liangxiao Jiang, Harry Zhang: Lazy Averaged One-Dependence Estimators. Canadian Conference on AI 2006: 515-525

Jiang Su, Harry Zhang: Probabilistic Inference Trees for Classification and Ranking. Canadian Conference on AI 2006: 526-537

Bin Wang, Harry Zhang: Improving the Ranking Performance of Decision Trees. ECML 2006: 461-472

Liangxiao Jiang, Harry Zhang, Zhihua Cai: Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. FSKD 2006: 365-368

Jiang Su, Harry Zhang: Full Bayesian network classifiers. ICML 2006: 897-904

Han Liang, Harry Zhang, Yuhong Yan: Decision Trees for Probability Estimation: An Empirical Study. ICTAI 2006: 756-764

Liangxiao Jiang, Harry Zhang: Weightily Averaged One-Dependence Estimators. PRICAI 2006: 970-974

Harry Zhang: Exploring Conditions For The Optimality Of Naïve Bayes. IJPRAI 19(2): 183-198 (2005)

Jiang Su, Harry Zhang: Representing Conditional Independence Using Decision Trees. AAAI 2005: 874-879

Harry Zhang, Liangxiao Jiang, Jiang Su: Hidden Naive Bayes. AAAI 2005: 919-924

Liangxiao Jiang, Harry Zhang, Jiang Su: Learning k-Nearest Neighbor Naive Bayes for Ranking. ADMA 2005: 175-185

Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su: One Dependence Augmented Naive Bayes. ADMA 2005: 186-194

Liangxiao Jiang, Harry Zhang, Jiang Su: Instance Cloning Local Naive Bayes. Canadian Conference on AI 2005: 280-291

N. Edenborough, Riad I. Hammoud, A. Harbach, A. Ingold, Branislav Kisacanin, Phillip Malawey, T. Newman, G. Scharenbroch, S. Skiver, Matthew R. H. Smith, Andrew Wilhelm, Gerald J. Witt, E. Yoder, Harry Zhang: Driver State Monitor from DELPHI. CVPR (2) 2005: 1206-1207

Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su: Learning Tree Augmented Naive Bayes for Ranking. DASFAA 2005: 688-698

Liangxiao Jiang, Harry Zhang: Learning Instance Greedily Cloning Naive Bayes for Ranking. ICDM 2005: 202-209

Harry Zhang, Liangxiao Jiang, Jiang Su: Augmenting naive Bayes for ranking. ICML 2005: 1020-1027

Harry Zhang, Jiang Su: Naive Bayesian Classifiers for Ranking. ECML 2004: 501-512

Harry Zhang, Jiang Su: Conditional Independence Trees. ECML 2004: 513-524

Harry Zhang: The Optimality of Naive Bayes. FLAIRS Conference 2004: 562-567

Jiang Su, Harry Zhang: Learning Conditional Independence Tree for Ranking. ICDM 2004: 531-534

Harry Zhang, Shengli Sheng: Learning Weighted Naive Bayes with Accurate Ranking. ICDM 2004: 567-570

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

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