Empirical Study on Weighted Voting Multiple Classifiers. - Yanmin Sun; Mohamed S. Kamel; Andrew K. C. Wong (ICAPR (1), 2005)

Parameter Inference of Cost-Sensitive Boosting Algorithms. - Yanmin Sun; Andrew K. C. Wong; Yang Wang 007 (MLDM, 2005)

An Overview of Associative Classifiers. - Yanmin Sun; Andrew K. C. Wong; Yang Wang 007 (DMIN, 2006)

Boosting for Learning Multiple Classes with Imbalanced Class Distribution. - Yanmin Sun; Mohamed S. Kamel; Yang Wang 007 (ICDM, 2006)

Boosting an Associative Classifier. - Yanmin Sun; Yang Wang 007; Andrew K. C. Wong (IEEE Trans. Knowl. Data Eng., 2006)

Cost-sensitive boosting for classification of imbalanced data. - Yanmin Sun; Mohamed S. Kamel; Andrew K. C. Wong; Yang Wang 007 (Pattern Recognit., 2007)

Generative and Discriminative Learning by CL-Net. - Yanmin Sun; Andrew K. C. Wong; Yang Wang 007 (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Cost-Sensitive Boosting for Classification of Imbalanced Data. - Yanmin Sun (2007)

Classification of Imbalanced Data: a Review. - Yanmin Sun; Andrew K. C. Wong; Mohamed S. Kamel (Int. J. Pattern Recognit. Artif. Intell., 2009)

A hybrid projection decomposition algorithm for dual-energy computed tomography. - Lei Li 019; Linyuan Wang 001; Xiaoqi Xi; Bin Yan 002; Yanmin Sun (ICNC-FSKD, 2016)

Preliminary Study: an Efficient Solving Algorithm for Determining the Exact Sampling Condition of Limited-Angle CT Reconstruction. - Ziheng Li; Wenkun Zhang; Lei Li 019; Yanmin Sun; Chaoyan Gao; Bin Yan 002; Linyuan Wang 001 (ICNC-FSKD, 2018)

Railway Joint Detection Using Deep Convolutional Neural Networks. - Yanmin Sun; Yan Liu; Chunsheng Yang (CASE, 2019)