Learning features from examples for face detection. - Xiaofeng Lu; Songfeng Zheng; Nanning Zheng 001; Weixiang Liu (ICASSP (2), 2003)

Unsupervised clustering based reduced support vector machines. - Songfeng Zheng; Xiaofeng Lu; Nanning Zheng 001; Weipu Xu (ICASSP (2), 2003)

Linear sparse feature based face detection in gray images. - Xiaofeng Lu; Nanning Zheng 001; Songfeng Zheng (ICIP (3), 2003)

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. - Songfeng Zheng; Zhuowen Tu; Alan L. Yuille; Allan L. Reiss; Rebecca A. Dutton; Agatha D. Lee; Albert M. Galaburda; Paul M. Thompson; Ivo D. Dinov; Arthur W. Toga (MICCAI (1), 2006)

Learning Sparse Mixture Models for Discriminative Classification. - Weixiang Liu; Nanning Zheng 001; Songfeng Zheng (Int. J. Pattern Recognit. Artif. Intell., 2006)

Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. - Zhuowen Tu; Songfeng Zheng; Alan L. Yuille; Allan L. Reiss; Rebecca A. Dutton; Agatha D. Lee; Albert M. Galaburda; Ivo D. Dinov; Paul M. Thompson; Arthur W. Toga (IEEE Trans. Medical Imaging, 2007)

Learning based coarse-to-fine image registration. - Jiayan Jiang; Songfeng Zheng; Arthur W. Toga; Zhuowen Tu (CVPR, 2008)

Shape matching and registration by data-driven EM. - Zhuowen Tu; Songfeng Zheng; Alan L. Yuille (Comput. Vis. Image Underst., 2008)

Probabilistic Cascade Random Fields for Man-Made Structure Detection. - Songfeng Zheng (ACCV (2), 2009)

Compositional noisy-logical learning. - Alan L. Yuille; Songfeng Zheng (ICML, 2009)

A level set model without initial contour. - Lei He 007; William G. Wee; Songfeng Zheng; Li Wang (WACV, 2009)

Sparse nonnegative matrix factorization with the elastic net. - Weixiang Liu; Songfeng Zheng; Sen Jia 001; LinLin Shen; Xianghua Fu (BIBM, 2010)

Selecting informative genes by Lasso and Dantzig selector for linear classifiers. - Songfeng Zheng; Weixiang Liu (BIBM, 2010)

Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification. - Songfeng Zheng; Weixiang Liu (BIOCOMP, 2010)

Median Boost for Cancer Classification with Gene Expression Data. - Songfeng Zheng; Weixiang Liu (BIOCOMP, 2010)

Boosting Based Conditional Quantile Estimation for Regression and Binary Classification. - Songfeng Zheng (MICAI (2), 2010)

Detecting object boundaries using low-, mid-, and high-level information. - Songfeng Zheng; Alan L. Yuille; Zhuowen Tu (Comput. Vis. Image Underst., 2010)

Integrating local distribution information with level set for boundary extraction. - Lei He 007; Songfeng Zheng; Li Wang (J. Vis. Commun. Image Represent., 2010)

Cooperative Sensing via Sequential Detection. - Qiyue Zou; Songfeng Zheng; Ali H. Sayed (IEEE Trans. Signal Process., 2010)

Labeling Image Patches by Boosting based Median Classifier. - Songfeng Zheng (BMVC, 2011)

An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. - Songfeng Zheng; Weixiang Liu (Comput. Biol. Medicine, 2011)

Gradient descent algorithms for quantile regression with smooth approximation. - Songfeng Zheng (Int. J. Mach. Learn. Cybern., 2011)

QBoost: Predicting quantiles with boosting for regression and binary classification. - Songfeng Zheng (Expert Syst. Appl., 2012)

Functional gradient ascent for Probit regression. - Songfeng Zheng; Weixiang Liu (Pattern Recognit., 2012)

A generalized Newton algorithm for quantile regression models. - Songfeng Zheng (Comput. Stat., 2014)

A fast algorithm for training support vector regression via smoothed primal function minimization. - Songfeng Zheng (Int. J. Mach. Learn. Cybern., 2015)

Object-Based Arctic Sea Ice Ridge Detection From High-Spatial-Resolution Imagery. - Xin Miao; Hongjie Xie; Stephen F. Ackley; Songfeng Zheng (IEEE Geosci. Remote. Sens. Lett., 2016)

Smoothly approximated support vector domain description. - Songfeng Zheng (Pattern Recognit., 2016)

A fast iterative algorithm for support vector data description. - Songfeng Zheng (Int. J. Mach. Learn. Cybern., 2019)

Iteratively reweighted least square for asymmetric L2-Loss support vector regression. - Songfeng Zheng (Commun. Stat. Simul. Comput., 2021)

KLERC: kernel Lagrangian expectile regression calculator. - Songfeng Zheng (Comput. Stat., 2021)

Speeding up L 2 -loss support vector regression by random Fourier features. - Songfeng Zheng (Commun. Stat. Simul. Comput., 2024)