Yijun Sun

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 21

Top Topics

Dimensionality Reduction

Feature Selection

Structure Learning

Negative Matrix Factorization

Top Venues

Knowl. Based Syst.

Publications

Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, Qingsong Ning, Junxue Zhang, Kai Chen
Fast, Scalable, and Accurate Rate Limiter for RDMA NICs. SIGCOMM (2024)
Lu Li, Jiho Sohn, Robert J. Genco, Jean Wactawski-Wende, Steve Goodison, Patricia I. Diaz, Yijun Sun
Computational approach to modeling microbiome landscapes associated with chronic human disease progression. PLoS Comput. Biol. 18 (8) (2022)
Mengyu Fan, Jin Lu, Xianguang Kong, Wei Sun, Wei Sun, Yijun Sun
CBAM-DCE: A Non-Reference Image Correction Algorithm for Uneven Illumination. AIPR (2022)
Le Yang, Runpu Chen, Steve Goodison, Yijun Sun
An efficient and effective method to identify significantly perturbed subnetworks in cancer. Nat. Comput. Sci. 1 (1) (2021)
Yijun Sun, Zehua Guo, Songshi Dou, Yuanqing Xia
Video Quality and Popularity-aware Video Caching in Content Delivery Networks. ICWS (2021)
Yijun Sun, Zehua Guo, Songshi Dou, Junjie Zhang, Changlin Li, Xiang Ouyang
Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks. ICNP (2021)
Runpu Chen, Le Yang, Steve Goodison, Yijun Sun
Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data. Bioinform. 36 (5) (2020)
Wei Wei, Jiye Liang, Xinyao Guo, Peng Song, Yijun Sun
Hierarchical division clustering framework for categorical data. Neurocomputing 341 (2019)
Wei Zheng, Qi Mao, Robert J. Genco, Jean Wactawski-Wende, Michael Buck, Yunpeng Cai, Yijun Sun
A parallel computational framework for ultra-large-scale sequence clustering analysis. Bioinform. 35 (3) (2019)
Wei Zheng, Le Yang, Robert J. Genco, Jean Wactawski-Wende, Michael Buck, Yijun Sun
SENSE: Siamese neural network for sequence embedding and alignment-free comparison. Bioinform. 35 (11) (2019)
Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun
Discernibility matrix based incremental attribute reduction for dynamic data. Knowl. Based Syst. 140 (2018)
Yunpeng Cai, Wei Zheng, Jin Yao, Yujie Yang, Volker Mai, Qi Mao, Yijun Sun
ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time. PLoS Comput. Biol. 13 (4) (2017)
Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
Principal Graph and Structure Learning Based on Reversed Graph Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 39 (11) (2017)
Jin Yao, Qi Mao, Steve Goodison, Volker Mai, Yijun Sun
Feature selection for unsupervised learning through local learning. Pattern Recognit. Lett. 53 (2015)
Qi Mao, Li Wang, Steve Goodison, Yijun Sun
Dimensionality Reduction Via Graph Structure Learning. KDD (2015)
Jim Jing-Yan Wang, Yijun Sun, Xin Gao
Sparse structure regularized ranking. Multim. Tools Appl. 74 (2) (2015)
Qi Mao, Wei Zheng, Li Wang, Yunpeng Cai, Volker Mai, Yijun Sun
Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis. ICDM (2015)
Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation. CoRR (2015)
Yijun Sun, Jin Yao, Steve Goodison
Feature Selection for Nonlinear Regression and its Application to Cancer Research. SDM (2015)
Qi Mao, Le Yang, Li Wang, Steve Goodison, Yijun Sun
SimplePPT: A Simple Principal Tree Algorithm. SDM (2015)
Jim Jing-Yan Wang, Jianhua Z. Huang, Yijun Sun, Xin Gao
Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization. Expert Syst. Appl. 42 (3) (2015)
Jim Jing-Yan Wang, Yijun Sun, Halima Bensmail
Domain transfer nonnegative matrix factorization. IJCNN (2014)
Jim Jing-Yan Wang, Yijun Sun
From one graph to many: Ensemble transduction for content-based database retrieval. Knowl. Based Syst. 65 (2014)
Jim Jing-Yan Wang, Jin Yao, Yijun Sun
Semi-supervised local-learning-based feature selection. IJCNN (2014)
Xiaoyu Wang, Jin Yao, Yijun Sun, Volker Mai
M-pick, a Modularity-based Method for OTU Picking of 16S rRNA Sequences. BMC Bioinform. 14 (2013)
Yijun Sun, Yunpeng Cai, Susan M. Huse, Rob Knight, William G. Farmerie, Xiaoyu Wang, Volker Mai
A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis. Briefings Bioinform. 13 (1) (2012)
Yijun Sun, Sinisa Todorovic, Steve Goodison
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 32 (9) (2010)
Yunpeng Cai, Yijun Sun, Yubo Cheng, Jian Li, Steve Goodison
Regularized Learning Algorithms Using Gradient Descent Methods. SDM (2010)
Nirmalya Bandyopadhyay, Tamer Kahveci, Steve Goodison, Yijun Sun, Sanjay Ranka
Pathway-Based Feature Selection Algorithm for Cancer Microarray Data. Adv. Bioinformatics 2009 (2009)
Yunpeng Cai, Yijun Sun, Jian Li, Steve Goodison
Online Feature Selection Algorithm with Bayesian l1 Regularization. PAKDD (2009)
Yijun Sun, Dapeng Wu
Feature extraction through local learning. Stat. Anal. Data Min. 2 (1) (2009)
Yijun Sun, Yunpeng Cai, Steve Goodison
Combining nomogram and microarray data for predicting prostate cancer recurrence. BIBE (2008)
Changwu Qiu, Qixin Cao, Yijun Sun
Resolve Redundancy with Constraints for obstacle and singularity Avoidance Subgoals. Int. J. Robotics Autom. 23 (1) (2008)
Yijun Sun, Sinisa Todorovic, Steve Goodison
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality. SDM (2008)
Yijun Sun, Dapeng Wu
A RELIEF Based Feature Extraction Algorithm. SDM (2008)
Yubo Cheng, Yunpeng Cai, Yijun Sun, Jian Li
Semi-supervised feature selection under logistic I-RELIEF framework. ICPR (2008)
Yijun Sun, Steve Goodison, Jian Li, Li Liu, William G. Farmerie
Improved breast cancer prognosis through the combination of clinical and genetic markers. Bioinform. 23 (1) (2007)
Yijun Sun, Fanhong Yu, Li Liu, William G. Farmerie
Estimating Microbial Population Densities Based on Genomic Signatures. BIOCOMP (2007)
Yijun Sun, Steve Goodison
Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers. BIOCOMP (2007)
Yijun Sun
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 29 (6) (2007)
Yijun Sun, Sinisa Todorovic, Jian Li
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework. J. VLSI Signal Process. 48 (1-2) (2007)
Yijun Sun, Sinisa Todorovic, Jian Li
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework. Pattern Recognit. Lett. 28 (5) (2007)
Yijun Sun, Li Liu, Mick Popp, William G. Farmerie
Estimation Of Cross-Hybridization Signals Using Support Vector Regression. IMSCCS (1) (2006)
Yijun Sun, Jian Li
Iterative RELIEF for feature weighting. ICML (2006)
Yijun Sun, Sinisa Todorovic, Jian Li
Reducing the Overfitting of Adaboost by Controlling its Data Distribution Skewness. Int. J. Pattern Recognit. Artif. Intell. 20 (7) (2006)
Changwu Qiu, Qixin Cao, Yijun Sun
Redundant Manipulator Control with Constraints for Subgoals. CASE (2006)
Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu
Unifying the error-correcting and output-code AdaBoost within the margin framework. ICML (2005)
Yijun Sun, Jian Li, William W. Hager
Two new regularized AdaBoost algorithms. ICMLA (2004)
Binggen Zhang, Lingju Kong, Yijun Sun, Xinghua Deng
Existence of positive solutions for BVPs of fourth-order difference equations. Appl. Math. Comput. 131 (2-3) (2002)