Yijun Sun

发表

Feature extraction through local learning

Dapeng Wu, Yijun Sun, 2009 .

Sparse structure regularized ranking

Jim Jing-Yan Wang, Xin Gao, Yijun Sun, 2014, Multimedia Tools and Applications.

Robust ensemble classifiers and their applications to landmine detection

Jian Li, Yijun Sun, 2004 .

Online Feature Selection Algorithm with Bayesian l1 Regularization

Jian Li, Yunpeng Cai, Yijun Sun, 2009, PAKDD.

Deep Learning Approach to Identifying Breast Cancer Subtypes Using High-Dimensional Genomic Data

Runpu Chen, Le Yang, Yijun Sun, 2019, bioRxiv.

Pathway-BasedFeature Selection Algorithm for Cancer Microarray Data

Sanjay Ranka, Tamer Kahveci, Yijun Sun, 2010, Adv. Bioinformatics.

SimplePPT: A Simple Principal Tree Algorithm

Li Wang, Qi Mao, Le Yang, 2015, SDM.

Discernibility matrix based incremental attribute reduction for dynamic data

Wei Wei, Xiaoying Wu, Jiye Liang, 2018, Knowl. Based Syst..

Synthetic aperture radar automatic target recognition using adaptive boosting

Zhipeng Liu, Jian Li, Sinisa Todorovic, 2005, SPIE Defense + Commercial Sensing.

Improved breast cancer prognosis through the combination of clinical and genetic markers

Li Liu, Jian Li, Yijun Sun, 2007, Bioinform..

Feature Selection for Nonlinear Regression and its Application to Cancer Research

Jin Yao, Yijun Sun, Steve Goodison, 2015, SDM.

Feature extraction through local learning

Dapeng Wu, Yijun Sun, D. Wu, 2009, Stat. Anal. Data Min..

Improving ATR performance through distance metric learning

Jian Li, Ming Xue, Yijun Sun, 2007, SPIE Defense + Commercial Sensing.

Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications

Yijun Sun, Yijun Sun, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

M-pick, a modularity-based method for OTU picking of 16S rRNA sequences

Xiaoyu Wang, Jin Yao, Yijun Sun, 2013, BMC Bioinformatics.

Two new regularized AdaBoost algorithms

Jian Li, William W. Hager, Yijun Sun, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

Unifying the error-correcting and output-code AdaBoost within the margin framework

Jian Li, Dapeng Wu, Sinisa Todorovic, 2005, ICML.

Dimensionality Reduction Via Graph Structure Learning

Li Wang, Qi Mao, Yijun Sun, 2015, KDD.

Hierarchical division clustering framework for categorical data

Wei Wei, Peng Song, Jiye Liang, 2019, Neurocomputing.

Local-Learning-Based Feature Selection for High-Dimensional Data Analysis

Sinisa Todorovic, Yijun Sun, Steve Goodison, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Boosting for Synthetic Aperture Radar Automatic Target Recognition

Zhipeng Liu, Jian Li, Sinisa Todorovic, 2005 .

Iterative RELIEF for feature weighting

Jian Li, Yijun Sun, Yijun Sun, 2006, ICML.

Reducing the Overfitting of Adaboost by Controlling its Data Distribution Skewness

Jian Li, Sinisa Todorovic, Yijun Sun, 2006, Int. J. Pattern Recognit. Artif. Intell..

Semi-supervised feature selection under logistic I-RELIEF framework

Jian Li, Yunpeng Cai, Yijun Sun, 2008, 2008 19th International Conference on Pattern Recognition.

Resolve Redundancy with Constraints for obstacle and singularity Avoidance Subgoals

Qixin Cao, Changwu Qiu, Yijun Sun, 2008, Int. J. Robotics Autom..

Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework

Jian Li, Sinisa Todorovic, Yijun Sun, 2007, J. VLSI Signal Process..

Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework

Jian Li, Sinisa Todorovic, Yijun Sun, 2007, Pattern Recognit. Lett..

Wide-Angle High Resolution SAR Imaging and Robust Automatic Target Recognition of Civilian Vehicles

Jian Li, Luzhou Xu, Yijun Sun, 2014 .

ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time

Wei Zheng, Yunpeng Cai, Qi Mao, 2017, PLoS Comput. Biol..

A RELIEF Based Feature Extraction Algorithm

Dapeng Wu, Yijun Sun, D. Wu, 2008, SDM.

Automatic target recognition with Bayesian networks for wide-area airborne minefield detection

Jian Li, Guoqing Liu, Yijun Sun, 2005, SPIE Defense + Commercial Sensing.

Feature selection for unsupervised learning through local learning

Qi Mao, Jin Yao, Yijun Sun, 2015, Pattern Recognit. Lett..

Redundant Manipulator Control with Constraints for Subgoals

Qixin Cao, Changwu Qiu, Yijun Sun, 2006, 2006 IEEE International Conference on Automation Science and Engineering.

Semi-supervised local-learning-based feature selection

Jim Jing-Yan Wang, Jin Yao, Yijun Sun, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Boosting a wavelet packet transform based landmine detector

Jian Li, Yijun Sun, 2004, SPIE Defense + Commercial Sensing.

A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis

Xiaoyu Wang, Yunpeng Cai, Rob Knight, 2012, Briefings Bioinform..

A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality

Sinisa Todorovic, Yijun Sun, Steve Goodison, 2008, SDM.

From one graph to many: Ensemble transduction for content-based database retrieval

Jim Jing-Yan Wang, Yijun Sun, 2014, Knowl. Based Syst..

Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers

Yijun Sun, Steve Goodison, Yijun Sun, 2007, International Conference on Bioinformatics & Computational Biology.

Existence of positive solutions for BVPs of fourth-order difference equations

Lingju Kong, Binggen Zhang, Yijun Sun, 2002, Appl. Math. Comput..

Plastic landmine detection using time-frequency analysis for forward-looking ground-penetrating radar

Jian Li, Yijun Sun, 2003, SPIE Defense + Commercial Sensing.

A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation pdf

Ivor W. Tsang, Li Wang, Qi Mao, 2015, ArXiv.

Fast Implementation of ℓ1Regularized Learning Algorithms Using Gradient Descent Methods

Jian Li, Yunpeng Cai, Yijun Sun, 2010, SDM.

Estimating Microbial Population Densities Based on Genomic Signatures

Li Liu, Yijun Sun, William G. Farmerie, 2007, International Conference on Bioinformatics & Computational Biology.

Combining nomogram and microarray data for predicting prostate cancer recurrence

Yunpeng Cai, Yijun Sun, Steve Goodison, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Estimation Of Cross-Hybridization Signals Using Support Vector Regression

Li Liu, Yijun Sun, William G. Farmerie, 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

Domain transfer nonnegative matrix factorization

Jim Jing-Yan Wang, Halima Bensmail, Yijun Sun, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis

Wei Zheng, Yunpeng Cai, Li Wang, 2015, 2015 IEEE International Conference on Data Mining.