Yijun Sun

J. Electronic Imaging, 2022

CBAM-DCE: A Non-Reference Image Correction Algorithm for Uneven Illumination.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021

An efficient and effective method to identify significantly perturbed subnetworks in cancer.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2021

Video Quality and Popularity-aware Video Caching in Content Delivery Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

2020

Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data.

[BibT_eX]

[DOI]

Bioinform., 2020

2019

Hierarchical division clustering framework for categorical data.

[BibT_eX]

[DOI]

Neurocomputing, 2019

SENSE: Siamese neural network for sequence embedding and alignment-free comparison.

[BibT_eX]

[DOI]

Bioinform., 2019

A parallel computational framework for ultra-large-scale sequence clustering analysis.

[BibT_eX]

[DOI]

Bioinform., 2019

2018

Discernibility matrix based incremental attribute reduction for dynamic data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

2017

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

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2017

Principal Graph and Structure Learning Based on Reversed Graph Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2015

Feature selection for unsupervised learning through local learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Sparse structure regularized ranking.

[BibT_eX]

[DOI]

Xin Gao

Multim. Tools Appl., 2015

Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Feature Selection for Nonlinear Regression and its Application to Cancer Research.

[BibT_eX]

[DOI]

Jin Yao

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

SimplePPT: A Simple Principal Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Dimensionality Reduction Via Graph Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

Semi-supervised local-learning-based feature selection.

[BibT_eX]

[DOI]

Jin Yao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Domain transfer nonnegative matrix factorization.

[BibT_eX]

[DOI]

Halima Bensmail

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

M-pick, a Modularity-based Method for OTU Picking of 16S rRNA Sequences.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

2012

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

[BibT_eX]

[DOI]

Briefings Bioinform., 2012

2010

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Fast Implementation of ℓ<sub>1</sub>Regularized Learning Algorithms Using Gradient Descent Methods.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2010

2009

Feature extraction through local learning.

[BibT_eX]

[DOI]

Dapeng Wu

Stat. Anal. Data Min., 2009

Pathway-Based Feature Selection Algorithm for Cancer Microarray Data.

[BibT_eX]

[DOI]

Nirmalya Bandyopadhyay

Adv. Bioinformatics, 2009

Online Feature Selection Algorithm with Bayesian l1 Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008

Resolve Redundancy with Constraints for obstacle and singularity Avoidance Subgoals.

[BibT_eX]

[DOI]

Changwu Qiu

Qixin Cao

Int. J. Robotics Autom., 2008

A RELIEF Based Feature Extraction Algorithm.

[BibT_eX]

[DOI]

Dapeng Wu

Proceedings of the SIAM International Conference on Data Mining, 2008

A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-supervised feature selection under logistic I-RELIEF framework.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Combining nomogram and microarray data for predicting prostate cancer recurrence.

[BibT_eX]

[DOI]

Yunpeng Cai

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007

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

[BibT_eX]

[DOI]

J. VLSI Signal Process., 2007

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

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2007

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2007

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

[BibT_eX]

[DOI]

Bioinform., 2007

Estimating Microbial Population Densities Based on Genomic Signatures.

[BibT_eX]

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers.

[BibT_eX]

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2006

Reducing the Overfitting of Adaboost by Controlling its Data Distribution Skewness.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2006

Estimation Of Cross-Hybridization Signals Using Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

Iterative RELIEF for feature weighting.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Redundant Manipulator Control with Constraints for Subgoals.

[BibT_eX]

[DOI]

Changwu Qiu

Qixin Cao

Proceedings of the 2006 IEEE International Conference on Automation Science and Engineering, 2006

2005

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

2004

Two new regularized AdaBoost algorithms.

[BibT_eX]

[DOI]