Existence of positive solutions for BVPs of fourth-order difference equations. - Binggen Zhang; Lingju Kong; Yijun Sun; Xinghua Deng (Appl. Math. Comput., 2002)

Two new regularized AdaBoost algorithms. - Yijun Sun; Jian Li 001; William W. Hager (ICMLA, 2004)

Unifying the error-correcting and output-code AdaBoost within the margin framework. - Yijun Sun; Sinisa Todorovic; Jian Li; Dapeng Wu 001 (ICML, 2005)

Redundant Manipulator Control with Constraints for Subgoals. - Changwu Qiu; Qixin Cao; Yijun Sun (CASE, 2006)

Iterative RELIEF for feature weighting. - Yijun Sun; Jian Li (ICML, 2006)

Estimation Of Cross-Hybridization Signals Using Support Vector Regression. - Yijun Sun; Li Liu 035; Mick Popp; William G. Farmerie (IMSCCS (1), 2006)

Reducing the Overfitting of Adaboost by Controlling its Data Distribution Skewness. - Yijun Sun; Sinisa Todorovic; Jian Li (Int. J. Pattern Recognit. Artif. Intell., 2006)

Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers. - Yijun Sun; Steve Goodison (BIOCOMP, 2007)

Estimating Microbial Population Densities Based on Genomic Signatures. - Yijun Sun; Fanhong Yu; Li Liu 035; William G. Farmerie (BIOCOMP, 2007)

Improved breast cancer prognosis through the combination of clinical and genetic markers. - Yijun Sun; Steve Goodison; Jian Li 001; Li Liu 035; William G. Farmerie (Bioinform., 2007)

Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications. - Yijun Sun (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework. - Yijun Sun; Sinisa Todorovic; Jian Li (Pattern Recognit. Lett., 2007)

Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework. - Yijun Sun; Sinisa Todorovic; Jian Li (J. VLSI Signal Process., 2007)

Combining nomogram and microarray data for predicting prostate cancer recurrence. - Yijun Sun; Yunpeng Cai; Steve Goodison (BIBE, 2008)

Semi-supervised feature selection under logistic I-RELIEF framework. - Yubo Cheng; Yunpeng Cai; Yijun Sun; Jian Li 001 (ICPR, 2008)

A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality. - Yijun Sun; Sinisa Todorovic; Steve Goodison (SDM, 2008)

A RELIEF Based Feature Extraction Algorithm. - Yijun Sun; Dapeng Wu 001 (SDM, 2008)

Resolve Redundancy with Constraints for obstacle and singularity Avoidance Subgoals. - Changwu Qiu; Qixin Cao; Yijun Sun (Int. J. Robotics Autom., 2008)

Online Feature Selection Algorithm with Bayesian l1 Regularization. - Yunpeng Cai; Yijun Sun; Jian Li 001; Steve Goodison (PAKDD, 2009)

Pathway-Based Feature Selection Algorithm for Cancer Microarray Data. - Nirmalya Bandyopadhyay; Tamer Kahveci; Steve Goodison; Yijun Sun; Sanjay Ranka (Adv. Bioinformatics, 2009)

Feature extraction through local learning. - Yijun Sun; Dapeng Wu 001 (Stat. Anal. Data Min., 2009)

Fast Implementation of ℓ1Regularized Learning Algorithms Using Gradient Descent Methods. - Yunpeng Cai; Yijun Sun; Yubo Cheng; Jian Li 001; Steve Goodison (SDM, 2010)

Local-Learning-Based Feature Selection for High-Dimensional Data Analysis. - Yijun Sun; Sinisa Todorovic; Steve Goodison (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis. - Yijun Sun; Yunpeng Cai; Susan M. Huse; Rob Knight 001; William G. Farmerie; Xiaoyu Wang; Volker Mai (Briefings Bioinform., 2012)

M-pick, a Modularity-based Method for OTU Picking of 16S rRNA Sequences. - Xiaoyu Wang; Jin Yao; Yijun Sun; Volker Mai (BMC Bioinform., 2013)

Domain transfer nonnegative matrix factorization. - Jim Jing-Yan Wang; Yijun Sun; Halima Bensmail (IJCNN, 2014)

Semi-supervised local-learning-based feature selection. - Jim Jing-Yan Wang; Jin Yao; Yijun Sun (IJCNN, 2014)

From one graph to many: Ensemble transduction for content-based database retrieval. - Jim Jing-Yan Wang; Yijun Sun (Knowl. Based Syst., 2014)

Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis. - Qi Mao 001; Wei Zheng 010; Li Wang 033; Yunpeng Cai; Volker Mai; Yijun Sun (ICDM, 2015)

Dimensionality Reduction Via Graph Structure Learning. - Qi Mao 001; Li Wang 033; Steve Goodison; Yijun Sun (KDD, 2015)

SimplePPT: A Simple Principal Tree Algorithm. - Qi Mao 001; Le Yang; Li Wang 033; Steve Goodison; Yijun Sun (SDM, 2015)

Feature Selection for Nonlinear Regression and its Application to Cancer Research. - Yijun Sun; Jin Yao; Steve Goodison (SDM, 2015)

A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation. - Qi Mao 001; Li Wang 033; Ivor W. Tsang; Yijun Sun (CoRR, 2015)

Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization. - Jim Jing-Yan Wang; Jianhua Z. Huang; Yijun Sun; Xin Gao 001 (Expert Syst. Appl., 2015)

Sparse structure regularized ranking. - Jim Jing-Yan Wang; Yijun Sun; Xin Gao 001 (Multim. Tools Appl., 2015)

Feature selection for unsupervised learning through local learning. - Jin Yao; Qi Mao 001; Steve Goodison; Volker Mai; Yijun Sun (Pattern Recognit. Lett., 2015)

Principal Graph and Structure Learning Based on Reversed Graph Embedding. - Qi Mao 001; Li Wang 033; Ivor W. Tsang; Yijun Sun (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time. - Yunpeng Cai; Wei Zheng 010; Jin Yao; Yujie Yang; Volker Mai; Qi Mao 001; Yijun Sun (PLoS Comput. Biol., 2017)

Discernibility matrix based incremental attribute reduction for dynamic data. - Wei Wei 018; Xiaoying Wu; Jiye Liang; Junbiao Cui; Yijun Sun (Knowl. Based Syst., 2018)

A parallel computational framework for ultra-large-scale sequence clustering analysis. - Wei Zheng 010; Qi Mao 001; Robert J. Genco; Jean Wactawski-Wende; Michael Buck; Yunpeng Cai; Yijun Sun (Bioinform., 2019)

SENSE: Siamese neural network for sequence embedding and alignment-free comparison. - Wei Zheng 010; Le Yang; Robert J. Genco; Jean Wactawski-Wende; Michael Buck; Yijun Sun (Bioinform., 2019)

Hierarchical division clustering framework for categorical data. - Wei Wei 018; Jiye Liang; Xinyao Guo; Peng Song 004; Yijun Sun (Neurocomputing, 2019)

Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data. - Runpu Chen; Le Yang; Steve Goodison; Yijun Sun (Bioinform., 2020)

Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks. - Yijun Sun; Zehua Guo 001; Songshi Dou; Junjie Zhang 001; Changlin Li; Xiang Ouyang (ICNP, 2021)

Video Quality and Popularity-aware Video Caching in Content Delivery Networks. - Yijun Sun; Zehua Guo 001; Songshi Dou; Yuanqing Xia (ICWS, 2021)

An efficient and effective method to identify significantly perturbed subnetworks in cancer. - Le Yang; Runpu Chen; Steve Goodison; Yijun Sun (Nat. Comput. Sci., 2021)

CBAM-DCE: A Non-Reference Image Correction Algorithm for Uneven Illumination. - Mengyu Fan; Jin Lu; Xianguang Kong; Wei Sun; Wei Sun; Yijun Sun (AIPR, 2022)

V-ShadowGAN: generative adversarial networks for removing and generating shadows associated with vehicles based on unpaired data. - Ziyue Li; Hui Hu; Yijun Sun (J. Electronic Imaging, 2022)

Computational approach to modeling microbiome landscapes associated with chronic human disease progression. - Lu Li; Jiho Sohn; Robert J. Genco; Jean Wactawski-Wende; Steve Goodison; Patricia I. Diaz; Yijun Sun (PLoS Comput. Biol., 2022)

Fast, Scalable, and Accurate Rate Limiter for RDMA NICs. - Zilong Wang 007; Xinchen Wan; Luyang Li; Yijun Sun; Peng Xie; Xin Wei; Qingsong Ning; Junxue Zhang 001; Kai Chen 005 (SIGCOMM, 2024)

A comprehensive benchmark study of methods for identifying significantly perturbed subnetworks in cancer. - Le Yang; Runpu Chen; Steve Goodison; Yijun Sun (Briefings Bioinform., 2024)

Enabling Efficient GPU Communication over Multiple NICs with FuseLink. - Zhenghang Ren; Yuxuan Li; Zilong Wang 007; Xinyang Huang; Wenxue Li; Kaiqiang Xu; Xudong Liao; Yijun Sun; Bowen Liu; Han Tian; Junxue Zhang 001; Mingfei Wang; et al. (OSDI, 2025)

zkGPT: An Efficient Non-interactive Zero-knowledge Proof Framework for LLM Inference. - Wenjie Qu 001; Yijun Sun; Xuanming Liu; Tao Lu; Yanpei Guo; Kai Chen; Jiaheng Zhang (IACR Cryptol. ePrint Arch., 2025)

mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training. - Xudong Liao; Yijun Sun; Han Tian; Xinchen Wan; Yilun Jin; Zilong Wang 007; Zhenghang Ren; Xinyang Huang; Wenxue Li; Kin Fai Tse; Zhizhen Zhong; Guyue Liu; et al. (CoRR, 2025)

FLASH-FHE: A Heterogeneous Architecture for Fully Homomorphic Encryption Acceleration. - Junxue Zhang 001; Xiaodian Cheng; Gang Cao; Meng Dai; Yijun Sun; Han Tian; Dian Shen; Yong Wang 046; Kai Chen 005 (CoRR, 2025)