Confidence-clustering supervised radial basis function neural networks. - David P. Casasent; Xue-wen Chen 001 (IJCNN, 2003)

Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. - David P. Casasent; Xue-wen Chen 001 (Neural Networks, 2003)

New training strategies for RBF neural networks for X-ray agricultural product inspection. - David P. Casasent; Xue-wen Chen 001 (Pattern Recognit., 2003)

Facial expression recognition: A clustering-based approach. - Xue-wen Chen 001; Thomas S. Huang (Pattern Recognit. Lett., 2003)

Locally optimal search method for identifying genes from microarray data. - Xue-wen Chen 001; Huaixin Chen (ICARCV, 2004)

Optimized Kernel Machine for Cancer Classification Using Gene Expression Data. - Huilin Xiong; Xue-wen Chen 001 (CIBCB, 2005)

Pruning support vectors for imbalanced data classification. - Xue-wen Chen 001; Byron Gerlach; David P. Casasent (IJCNN, 2005)

Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data. - Jiangsheng Yu; Xue-wen Chen 001 (ISMB (Supplement of Bioinformatics), 2005)

Prediction of protein-protein interactions using random decision forest framework. - Xue-wen Chen 001; Mei Liu (Bioinform., 2005)

SMO-based pruning methods for sparse least squares support vector machines. - Xiang-Yan Zeng; Xue-wen Chen 001 (IEEE Trans. Neural Networks, 2005)

Comparison of One-Class SVM and Two-Class SVM for Fold Recognition. - Alexander Senf; Xue-wen Chen 001; Anne Zhang (ICONIP (2), 2006)

An effective structure learning method for constructing gene networks. - Xue-wen Chen 001; Gopalakrishna Anantha; Xinkun Wang (Bioinform., 2006)

Kernel-based distance metric learning for microarray data classification. - Huilin Xiong; Xue-wen Chen 001 (BMC Bioinform., 2006)

Advanced Signal Processing Techniques for Bioinformatics. - Xue-wen Chen 001; Sun Kim; Vladimir I. Pavlovic; David P. Casasent (EURASIP J. Adv. Signal Process., 2006)

Domain-Based Predictive Models for Protein-Protein Interaction Prediction. - Xue-wen Chen 001; Mei Liu (EURASIP J. Adv. Signal Process., 2006)

Margin-based wrapper methods for gene identification using microarray. - Xue-wen Chen 001 (Neurocomputing, 2006)

Multi-class feature selection for texture classification. - Xue-wen Chen 001; Xiang-Yan Zeng; Deborah van Alphen (Pattern Recognit. Lett., 2006)

Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks. - Aaron M. Smalter; Seak Fei Lei; Xue-wen Chen 001 (BIBM, 2007)

Minimum reference set based feature selection for small sample classifications. - Xue-wen Chen 001; Jong Cheol Jeong (ICML, 2007)

Enhanced recursive feature elimination. - Xue-wen Chen 001; Jong Cheol Jeong (ICMLA, 2007)

Normalized Linear Transform for Cross-Platform Microarray Data Integration. - Huilin Xiong; Ya Zhang 002; Xue-wen Chen 001 (ICMLA, 2007)

Structural Risk Minimisation based gene expression profiling analysis. - Xue-wen Chen 001; Byron Gerlach; Dechang Chen; Zhenqiu Liu (Int. J. Bioinform. Res. Appl., 2007)

Machine Learning and Its Applications to Biology. - Adi L. Tarca; Vincent J. Carey; Xue-wen Chen 001; Roberto Romero; Sorin Draghici (PLoS Comput. Biol., 2007)

Data-Dependent Kernel Machines for Microarray Data Classification. - Huilin Xiong; Ya Zhang 002; Xue-wen Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data. - Xue-wen Chen 001; Mei Liu; Yong Hu 002 (ADMA, 2008)

Protein-Protein Interaction Prediction and Assessment from Model Organisms. - Xiaotong Lin 001; Mei Liu; Xue-wen Chen 001 (BIBM, 2008)

Gene Network Learning Using Regulated Dynamic Bayesian Network Methods. - Xiaotong Lin 001; Xue-wen Chen 001 (ICMLA, 2008)

FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems. - Xue-wen Chen 001; Michael Wasikowski (KDD, 2008)

Large-scale Protein-Protein Interaction prediction using novel kernel methods. - Xue-wen Chen 001; Bing Han 001; Jianwen Fang; Ryan J. Haasl (Int. J. Data Min. Bioinform., 2008)

A Bayesian approach to support vector machines for the binary classification. - Jiangsheng Yu; Fei Cheng; Huilin Xiong; Wanling Qu; Xue-wen Chen 001 (Neurocomputing, 2008)

Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm. - Xue-wen Chen 001; Gopalakrishna Anantha; Xiaotong Lin 001 (IEEE Trans. Knowl. Data Eng., 2008)

DASSO-MB: Detection of Epistatic Interactions in Genome-Wide Association Studies Using Markov Blankets. - Bing Han 001; Meeyoung Park; Xue-wen Chen 001 (BIBM, 2009)

Learning to rank with a novel kernel perceptron method. - Xue-wen Chen 001; Haixun Wang; Xiaotong Lin 001 (CIKM, 2009)

Sequence-based prediction of protein interaction sites with an integrative method. - Xue-wen Chen 001; Jong Cheol Jeong (Bioinform., 2009)

Knowledge-guided inference of domain-domain interactions from incomplete protein-protein interaction networks. - Mei Liu; Xue-wen Chen 001; Raja Jothi (Bioinform., 2009)

Identification of genes involved in the same pathways using a Hidden Markov Model-based approach. - Alexander Senf; Xue-wen Chen 001 (Bioinform., 2009)

Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms. - Xiaotong Lin 001; Mei Liu; Xue-wen Chen 001 (BMC Bioinform., 2009)

Editorial. - Leif E. Peterson; Xue-wen Chen 001 (Int. J. Data Min. Bioinform., 2009)

Survival Prediction and Gene Identification with Penalized Global AUC Maximization. - Zhenqiu Liu; Ronald B. Gartenhaus; Xue-wen Chen 001; Charles D. Howell; Ming Tan (J. Comput. Biol., 2009)

Detecting SNPs-disease associations using Bayesian networks. - Bing Han 001; Xue-wen Chen 001 (BIBM, 2010)

Mr.KNN: soft relevance for multi-label classification. - Xiaotong Lin 001; Xue-wen Chen 001 (CIKM, 2010)

iLike: integrating visual and textual features for vertical search. - Yuxin Chen 001; Nenghai Yu; Bo Luo; Xue-wen Chen 001 (ACM Multimedia, 2010)

A Markov blanket-based method for detecting causal SNPs in GWAS. - Bing Han 001; Meeyoung Park; Xue-wen Chen 001 (BMC Bioinform., 2010)

Cross-platform microarray data integration using the Normalised Linear Transform. - Huilin Xiong; Ya Zhang 002; Xue-wen Chen 001; Jiangsheng Yu (Int. J. Data Min. Bioinform., 2010)

Combating the Small Sample Class Imbalance Problem Using Feature Selection. - Michael Wasikowski; Xue-wen Chen 001 (IEEE Trans. Knowl. Data Eng., 2010)

Functional Gene Detection and Clustering from Seed Gene Sets. - Alexander Senf; Xue-wen Chen 001 (BIBM, 2011)

Cephalometric Landmark Tracing Using Deformable Templates. - Yuxin Chen 001; Brian Potetz; Bo Luo; Xue-wen Chen 001; Yunfeng Lin (HISB, 2011)

Healthcare Information Networks: Discovery and Evaluation. - Jonathan Lutes; Meeyoung Park; Bo Luo; Xue-wen Chen 001 (HISB, 2011)

FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach. - Bing Han 001; Xue-wen Chen 001; Zohreh Talebizadeh (BMC Bioinform., 2011)

KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions. - Xue-wen Chen 001; Jong Cheol Jeong; Patrick Dermyer (Nucleic Acids Res., 2011)

On Position-Specific Scoring Matrix for Protein Function Prediction. - Jong Cheol Jeong; Xiaotong Lin 001; Xue-wen Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Identification of transposable elements of the giant panda (Ailuropoda melanoleuca) genome. - Avindra Fernando; Jun Huan; Justin P. Blumenstiel; Jin Lin; Xue-wen Chen 001; Bo Luo (BIBM Workshops, 2012)

Mining Adverse Drug Side-Effects from Online Medical Forums. - Hariprasad Sampathkumar; Bo Luo; Xue-wen Chen 001 (HISB, 2012)

IPKB: a digital library for invertebrate paleontology. - Yuanliang Meng; Junyan Li; Patrick Denton; Yuxin Chen 001; Bo Luo; Paul Selden; Xue-wen Chen 001 (JCDL, 2012)

Genetic studies of complex human diseases: Characterizing SNP-disease associations using Bayesian networks. - Bing Han 001; Xue-wen Chen 001; Zohreh Talebizadeh; Hua Xu 001 (BMC Syst. Biol., 2012)

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs. - Mei Liu; Yonghui Wu; Yukun Chen 001; Jingchun Sun; Zhongming Zhao; Xue-wen Chen 001; Michael E. Matheny; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2012)

Evaluating topology-based metrics for GO term similarity measures. - Jong Cheol Jeong; Xue-wen Chen 001 (BIBM, 2013)

Content-based assessment of the credibility of online healthcare information. - Meeyoung Park; Hariprasad Sampathkumar; Bo Luo; Xue-wen Chen 001 (IEEE BigData, 2013)

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention - Ruoming Jin; Yelong Shen; Lin Liu 001; Xue-wen Chen 001 (CoRR, 2013)

Sparse representation and learning in visual recognition: Theory and applications. - Hong Cheng 002; Zicheng Liu 001; Lu Yang 002; Xue-wen Chen 001 (Signal Process., 2013)

iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features. - Yuxin Chen 001; Hariprasad Sampathkumar; Bo Luo; Xue-wen Chen 001 (IEEE Trans. Knowl. Data Eng., 2013)

A novel semi-supervised learning approach to analyzing metagenomic reads. - Yuliang Geng; Xue-wen Chen 001; Dongxiao Zhu (BCB, 2014)

Learning sparse and scale-free networks. - Melih S. Aslan; Xue-wen Chen 001; Hong Cheng 002 (DSAA, 2014)

Pseudo labels for imbalanced multi-label learning. - Wenrong Zeng; Xue-wen Chen 001; Hong Cheng 002 (DSAA, 2014)

A windowed dynamic time warping approach for 3D continuous hand gesture recognition. - Hong Cheng 002; Jun Luo; Xue-wen Chen 001 (ICME, 2014)

Pixel-to-Model background modeling in crowded scenes. - Lu Yang 002; Hong Cheng 002; Jianan Su; Xue-wen Chen 001 (ICME, 2014)

Big Data Deep Learning: Challenges and Perspectives. - Xue-wen Chen 001; Xiaotong Lin 001 (IEEE Access, 2014)

Large-Scale Deep Belief Nets With MapReduce. - Kunlei Zhang; Xue-wen Chen 001 (IEEE Access, 2014)

Editorial: Special issue on hybrid intelligent methods for health technologies. - Kit Yan Chan; Sai-Ho Ling; Tharam S. Dillon; Hung T. Nguyen 001; Tuan Nghia Nguyen 001; Vasile Palade; Xue-wen Chen 001 (Appl. Soft Comput., 2014)

Mining Adverse Drug Reactions from Online Healthcare Forums using Hidden Markov Model. - Hariprasad Sampathkumar; Xue-wen Chen 001; Bo Luo (BMC Medical Informatics Decis. Mak., 2014)

Kernelized pyramid nearest-neighbor search for object categorization. - Hong Cheng 002; Rongchao Yu; Zicheng Liu 001; Lu Yang 002; Xue-wen Chen 001 (Mach. Vis. Appl., 2014)

Ontology-Based Visualization of Healthcare Data Mined from Online Healthcare Forums. - Hariprasad Sampathkumar; Xue-wen Chen 001; Bo Luo (ICHI, 2015)

Unsupervised Learning and Image Classification in High Performance Computing Cluster. - Itauma Itauma; Melih S. Aslan; Flavio Villanustre; Xue-wen Chen 001 (ICMLA, 2015)

Learning Multi-channel Deep Feature Representations for Face Recognition. - Xue-wen Chen 001; Melih S. Aslan; Kunlei Zhang; Thomas S. Huang (FE@NIPS, 2015)

Topic and Sentiment Unification Maximum Entropy Model for Online Review Analysis. - Changlin Ma; Meng Wang; Xue-wen Chen 001 (WWW (Companion Volume), 2015)

A New Semantic Functional Similarity over Gene Ontology. - Jong Cheol Jeong; Xue-wen Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Unsupervised Learning and Image Classification in High Performance Computing Cluster. - Itauma Itauma; Melih S. Aslan; Xue-wen Chen 001; Flavio Villanustre (Big Data Technologies and Applications, 2016)

Learning Deep Networks from Noisy Labels with Dropout Regularization. - Ishan Jindal; Matthew S. Nokleby; Xue-wen Chen 001 (ICDM, 2016)

Latent Topic-Semantic Indexing Based Automatic Text Summarization. - Jiangsheng Yu; Xue-wen Chen 001 (ICMLA, 2016)

GOAL: the comprehensive gene ontology analysis layer. - Jong Cheol Jeong; George Li 003; Xue-wen Chen 001 (Sci. China Inf. Sci., 2016)

Analyzing and learning sparse and scale-free networks using Gaussian graphical models. - Melih S. Aslan; Xue-wen Chen 001; Hong Cheng 002 (Int. J. Data Sci. Anal., 2016)

On Classifying Facial Races with Partial Occlusions and Pose Variations. - Tarik K. Alafif; Zeyad Hailat; Melih S. Aslan; Xue-wen Chen 001 (ICMLA, 2017)

On Detecting Partially Occluded Faces with Pose Variations. - Tarik K. Alafif; Zeyad Hailat; Melih S. Aslan; Xue-wen Chen 001 (ISPAN-FCST-ISCC, 2017)

Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild. - Tarik K. Alafif; Zeyad Hailat; Melih S. Aslan; Xue-wen Chen 001 (CoRR, 2017)

An Adaptive Cluster-based Wiener Filter for Speckle Reduction of OCT Skin Images. - Elaheh Rashedi; Saba Adabi; Darius Mehregan; Xue-wen Chen 001 (CoRR, 2017)

A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. - Ishan Jindal; Zhiwei (Tony) Qin; Xue-wen Chen 001; Matthew S. Nokleby; Jieping Ye (CoRR, 2017)

Multi-channel multi-model feature learning for face recognition. - Melih S. Aslan; Zeyad Hailat; Tarik K. Alafif; Xue-wen Chen 001 (Pattern Recognit. Lett., 2017)

Manifold Learning by Curved Cosine Mapping. - Huamao Gu; Xun Wang 007; Xue-wen Chen 001; Shaoping Deng; Jin-Qin Shi (IEEE Trans. Knowl. Data Eng., 2017)

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. - Ishan Jindal; Zhiwei (Tony) Qin; Xue-wen Chen 001; Matthew S. Nokleby; Jieping Ye (IEEE BigData, 2018)

Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels. - Zeyad Hailat; Xue-wen Chen 001 (ICMLA, 2018)

Deep Semi-Supervised Learning. - Zeyad Hailat; Artem Komarichev; Xue-wen Chen 001 (ICPR, 2018)

Long-term face tracking in the wild using deep learning. - Kunlei Zhang; Elaheh Rashedi; Elaheh Barati; Xue-wen Chen 001 (CoRR, 2018)

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. - Ruoming Jin; Yelong Sheng; Lin Liu 001; Xue-wen Chen 001; NhatHai Phan (CSoNet, 2019)

"Stream loss": ConvNet learning for face verification using unlabeled videos in the wild. - Elaheh Rashedi; Elaheh Barati; Matthew S. Nokleby; Xue-wen Chen 001 (Neurocomputing, 2019)

Locality preserving difference component analysis based on the Lq norm. - Zhizheng Liang; Xue-wen Chen 001; Lei Zhang 029; Jin Liu 006; Yong Zhou 003 (Pattern Anal. Appl., 2020)

Correlation classifiers based on data perturbation: New formulations and algorithms. - Zhizheng Liang; Xue-wen Chen 001; Lei Zhang 029; Jin Liu 006; Yong Zhou 003 (Pattern Recognit., 2020)

DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction. - Manal Nawar Allahyani; Rahaf Alsulami; Taif Alwafi; Tarik Alafif; Heyfa Ammar; Sari Sabban; Xue-wen Chen 001 (Artif. Intell., 2023)