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Yijun Sun
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2020 – today
- 2024
- [c23]Zilong Wang
, Xinchen Wan
Fast, Scalable, and Accurate Rate Limiter for RDMA NICs. SIGCOMM 2024: 568-580 - 2022
- [j25]Lu Li
Computational approach to modeling microbiome landscapes associated with chronic human disease progression. PLoS Comput. Biol. 18(8) (2022) - [c22]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: 803-809 - 2021
- [j24]Le Yang
An efficient and effective method to identify significantly perturbed subnetworks in cancer. Nat. Comput. Sci. 1(1): 79-88 (2021) - [c21]Yijun Sun
Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks. ICNP 2021: 1-2 - [c20]Yijun Sun
Video Quality and Popularity-aware Video Caching in Content Delivery Networks. ICWS 2021: 648-650 - 2020
- [j23]Runpu Chen, Le Yang, Steve Goodison, Yijun Sun:
Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data. Bioinform. 36(5): 1476-1483 (2020)
2010 – 2019
- 2019
- [j22]Wei Zheng, Qi Mao, Robert J. Genco, Jean Wactawski-Wende
A parallel computational framework for ultra-large-scale sequence clustering analysis. Bioinform. 35(3): 380-388 (2019) - [j21]Wei Zheng, Le Yang, Robert J. Genco, Jean Wactawski-Wende
SENSE: Siamese neural network for sequence embedding and alignment-free comparison. Bioinform. 35(11): 1820-1828 (2019) - [j20]Wei Wei, Jiye Liang
Hierarchical division clustering framework for categorical data. Neurocomputing 341: 118-134 (2019) - 2018
- [j19]Wei Wei, Xiaoying Wu, Jiye Liang
Discernibility matrix based incremental attribute reduction for dynamic data. Knowl. Based Syst. 140: 142-157 (2018) - 2017
- [j18]Qi Mao
Principal Graph and Structure Learning Based on Reversed Graph Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2227-2241 (2017) - [j17]Yunpeng Cai
ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time. PLoS Comput. Biol. 13(4) (2017) - 2015
- [j16]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): 1278-1286 (2015) - [j15]Jim Jing-Yan Wang, Yijun Sun, Xin Gao
Sparse structure regularized ranking. Multim. Tools Appl. 74(2): 635-654 (2015) - [j14]Jin Yao, Qi Mao
Feature selection for unsupervised learning through local learning. Pattern Recognit. Lett. 53: 100-107 (2015) - [c19]Qi Mao, Wei Zheng, Li Wang, Yunpeng Cai, Volker Mai
Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis. ICDM 2015: 310-319 - [c18]Qi Mao, Li Wang, Steve Goodison, Yijun Sun:
Dimensionality Reduction Via Graph Structure Learning. KDD 2015: 765-774 - [c17]Yijun Sun, Jin Yao, Steve Goodison:
Feature Selection for Nonlinear Regression and its Application to Cancer Research. SDM 2015: 73-81 - [c16]Qi Mao, Le Yang, Li Wang, Steve Goodison, Yijun Sun:
SimplePPT: A Simple Principal Tree Algorithm. SDM 2015: 792-800 - [i1]Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun:
A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation. CoRR abs/1512.02752 (2015) - 2014
- [j13]Jim Jing-Yan Wang, Yijun Sun:
From one graph to many: Ensemble transduction for content-based database retrieval. Knowl. Based Syst. 65: 31-37 (2014) - [c15]Jim Jing-Yan Wang, Jin Yao, Yijun Sun:
Semi-supervised local-learning-based feature selection. IJCNN 2014: 1942-1948 - [c14]Jim Jing-Yan Wang, Yijun Sun, Halima Bensmail:
Domain transfer nonnegative matrix factorization. IJCNN 2014: 3605-3612 - 2013
- [j12]Xiaoyu Wang, Jin Yao, Yijun Sun, Volker Mai
M-pick, a Modularity-based Method for OTU Picking of 16S rRNA Sequences. BMC Bioinform. 14: 43 (2013) - 2012
- [j11]Yijun Sun, Yunpeng Cai, Susan M. Huse, Rob Knight
A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis. Briefings Bioinform. 13(1): 107-121 (2012) - 2010
- [j10]Yijun Sun, Sinisa Todorovic, Steve Goodison:
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 32(9): 1610-1626 (2010) - [c13]Yunpeng Cai, Yijun Sun, Yubo Cheng, Jian Li, Steve Goodison:
Fast Implementation of ℓ1Regularized Learning Algorithms Using Gradient Descent Methods. SDM 2010: 862-871
2000 – 2009
- 2009
- [j9]Nirmalya Bandyopadhyay, Tamer Kahveci, Steve Goodison, Yijun Sun, Sanjay Ranka:
Pathway-Based Feature Selection Algorithm for Cancer Microarray Data. Adv. Bioinformatics 2009: 532989:1-532989:16 (2009) - [j8]Yijun Sun, Dapeng Wu
Feature extraction through local learning. Stat. Anal. Data Min. 2(1): 34-47 (2009) - [c12]Yunpeng Cai, Yijun Sun, Jian Li, Steve Goodison:
Online Feature Selection Algorithm with Bayesian l1 Regularization. PAKDD 2009: 401-413 - 2008
- [j7]Changwu Qiu, Qixin Cao, Yijun Sun:
Resolve Redundancy with Constraints for obstacle and singularity Avoidance Subgoals. Int. J. Robotics Autom. 23(1) (2008) - [c11]Yijun Sun, Yunpeng Cai, Steve Goodison:
Combining nomogram and microarray data for predicting prostate cancer recurrence. BIBE 2008: 1-7 - [c10]Yubo Cheng, Yunpeng Cai, Yijun Sun, Jian Li:
Semi-supervised feature selection under logistic I-RELIEF framework. ICPR 2008: 1-4 - [c9]Yijun Sun, Dapeng Wu
A RELIEF Based Feature Extraction Algorithm. SDM 2008: 188-195 - [c8]Yijun Sun, Sinisa Todorovic, Steve Goodison:
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality. SDM 2008: 530-540 - 2007
- [j6]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): 30-37 (2007) - [j5]Yijun Sun:
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 1035-1051 (2007) - [j4]Yijun Sun, Sinisa Todorovic, Jian Li:
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework. Pattern Recognit. Lett. 28(5): 631-643 (2007) - [j3]Yijun Sun, Sinisa Todorovic, Jian Li:
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework. J. VLSI Signal Process. 48(1-2): 5-20 (2007) - [c7]Yijun Sun, Fanhong Yu, Li Liu, William G. Farmerie:
Estimating Microbial Population Densities Based on Genomic Signatures. BIOCOMP 2007: 163-168 - [c6]Yijun Sun, Steve Goodison:
Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers. BIOCOMP 2007: 229-235 - 2006
- [j2]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): 1093-1116 (2006) - [c5]Changwu Qiu, Qixin Cao, Yijun Sun:
Redundant Manipulator Control with Constraints for Subgoals. CASE 2006: 212-217 - [c4]Yijun Sun, Jian Li:
Iterative RELIEF for feature weighting. ICML 2006: 913-920 - [c3]Yijun Sun, Li Liu, Mick Popp, William G. Farmerie:
Estimation Of Cross-Hybridization Signals Using Support Vector Regression. IMSCCS (1) 2006: 17-21 - 2005
- [c2]Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu:
Unifying the error-correcting and output-code AdaBoost within the margin framework. ICML 2005: 872-879 - 2004
- [c1]Yijun Sun, Jian Li, William W. Hager:
Two new regularized AdaBoost algorithms. ICMLA 2004: 41-48 - 2002
- [j1]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): 583-591 (2002)
Coauthor Index
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