Xue-wen Chen

Publication Activity (10 Years)

Years Active: 2003-2019
Publications (10 Years): 14

Top Topics

Supervised Learning

Adverse Drug Reactions

Background Modeling

Bridging The Semantic Gap

Top Venues

Appl. Soft Comput.

Publications

Elaheh Rashedi, Elaheh Barati, Matthew S. Nokleby, Xue-wen Chen
"Stream loss": ConvNet learning for face verification using unlabeled videos in the wild. Neurocomputing 329 (2019)
Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet (2019)
Kunlei Zhang, Elaheh Rashedi, Elaheh Barati, Xue-wen Chen
Long-term face tracking in the wild using deep learning. CoRR (2018)
Zeyad Hailat, Artem Komarichev, Xue-wen Chen
Deep Semi-Supervised Learning. ICPR (2018)
Zeyad Hailat, Xue-wen Chen
Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels. ICMLA (2018)
Elaheh Rashedi, Saba Adabi, Darius Mehregan, Xue-wen Chen
An Adaptive Cluster-based Wiener Filter for Speckle Reduction of OCT Skin Images. CoRR (2017)
Melih S. Aslan, Zeyad Hailat, Tarik K. Alafif, Xue-wen Chen
Multi-channel multi-model feature learning for face recognition. Pattern Recognit. Lett. 85 (2017)
Jong Cheol Jeong, George Li, Xue-wen Chen
GOAL: the comprehensive gene ontology analysis layer. Sci. China Inf. Sci. 59 (7) (2016)
Jiangsheng Yu, Xue-wen Chen
Latent Topic-Semantic Indexing Based Automatic Text Summarization. ICMLA (2016)
Melih S. Aslan, Xue-wen Chen, Hong Cheng
Analyzing and learning sparse and scale-free networks using Gaussian graphical models. Int. J. Data Sci. Anal. 1 (2) (2016)
Jong Cheol Jeong, Xue-wen Chen
A New Semantic Functional Similarity over Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (2) (2015)
Hariprasad Sampathkumar, Xue-wen Chen, Bo Luo
Ontology-Based Visualization of Healthcare Data Mined from Online Healthcare Forums. ICHI (2015)
Xue-wen Chen, Melih S. Aslan, Kunlei Zhang, Thomas S. Huang
Learning Multi-channel Deep Feature Representations for Face Recognition. FE@NIPS (2015)
Itauma Itauma, Melih S. Aslan, Flavio Villanustre, Xue-wen Chen
Unsupervised Learning and Image Classification in High Performance Computing Cluster. ICMLA (2015)
Yuliang Geng, Xue-wen Chen, Dongxiao Zhu
A novel semi-supervised learning approach to analyzing metagenomic reads. BCB (2014)
Sai-Ho Ling, Kit Yan Chan, Vasile Palade, Tharam S. Dillon, Hung T. Nguyen, Tuan Nghia Nguyen, Xue-wen Chen
Editorial: Special issue on hybrid intelligent methods for health technologies. Appl. Soft Comput. 20 (2014)
Xue-wen Chen, Xiaotong Lin
Big Data Deep Learning: Challenges and Perspectives. IEEE Access 2 (2014)
Melih S. Aslan, Xue-wen Chen, Hong Cheng
Learning sparse and scale-free networks. DSAA (2014)
Wenrong Zeng, Xue-wen Chen, Hong Cheng
Pseudo labels for imbalanced multi-label learning. DSAA (2014)
Hong Cheng, Jun Luo, Xue-wen Chen
A windowed dynamic time warping approach for 3D continuous hand gesture recognition. ICME (2014)
Hariprasad Sampathkumar, Xue-wen Chen, Bo Luo
Mining Adverse Drug Reactions from Online Healthcare Forums using Hidden Markov Model. BMC Medical Informatics Decis. Mak. 14 (2014)
Hong Cheng, Rongchao Yu, Zicheng Liu, Lu Yang, Xue-wen Chen
Kernelized pyramid nearest-neighbor search for object categorization. Mach. Vis. Appl. 25 (4) (2014)
Lu Yang, Hong Cheng, Jianan Su, Xue-wen Chen
Pixel-to-Model background modeling in crowded scenes. ICME (2014)
Kunlei Zhang, Xue-wen Chen
Large-Scale Deep Belief Nets With MapReduce. IEEE Access 2 (2014)
Kit Yan Chan, Sai-Ho Ling, Tharam S. Dillon, Hung T. Nguyen, Tuan Nghia Nguyen, Vasile Palade, Xue-wen Chen
Editorial: Special issue on hybrid intelligent methods for health technologies. Appl. Soft Comput. 14 (2014)
Jong Cheol Jeong, Xue-wen Chen
Evaluating topology-based metrics for GO term similarity measures. BIBM (2013)
Ruoming Jin, Yelong Shen, Lin Liu, Xue-wen Chen
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention CoRR (2013)
Meeyoung Park, Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen
Content-based assessment of the credibility of online healthcare information. IEEE BigData (2013)
Hong Cheng, Zicheng Liu, Lu Yang, Xue-wen Chen
Sparse representation and learning in visual recognition: Theory and applications. Signal Process. 93 (6) (2013)
Yuxin Chen, Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen
iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features. IEEE Trans. Knowl. Data Eng. 25 (10) (2013)
Avindra Fernando, Jun Huan, Justin P. Blumenstiel, Jin Lin, Xue-wen Chen, Bo Luo
Identification of transposable elements of the giant panda (Ailuropoda melanoleuca) genome. BIBM Workshops (2012)
Bing Han, Xue-wen Chen, Zohreh Talebizadeh, Hua Xu
Genetic studies of complex human diseases: Characterizing SNP-disease associations using Bayesian networks. BMC Syst. Biol. 6 (S-3) (2012)
Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen
Mining Adverse Drug Side-Effects from Online Medical Forums. HISB (2012)
Mei Liu, Yonghui Wu, Yukun Chen, Jingchun Sun, Zhongming Zhao, Xue-wen Chen, Michael E. Matheny, Hua Xu
Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs. J. Am. Medical Informatics Assoc. 19 (e1) (2012)
Yuanliang Meng, Junyan Li, Patrick Denton, Yuxin Chen, Bo Luo, Paul Selden, Xue-wen Chen
IPKB: a digital library for invertebrate paleontology. JCDL (2012)
Jong Cheol Jeong, Xiaotong Lin, Xue-wen Chen
On Position-Specific Scoring Matrix for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (2) (2011)
Jonathan Lutes, Meeyoung Park, Bo Luo, Xue-wen Chen
Healthcare Information Networks: Discovery and Evaluation. HISB (2011)
Yuxin Chen, Brian Potetz, Bo Luo, Xue-wen Chen, Yunfeng Lin
Cephalometric Landmark Tracing Using Deformable Templates. HISB (2011)
Alexander Senf, Xue-wen Chen
Functional Gene Detection and Clustering from Seed Gene Sets. BIBM (2011)
Xue-wen Chen, Jong Cheol Jeong, Patrick Dermyer
KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions. Nucleic Acids Res. 39 (Database-Issue) (2011)
Bing Han, Xue-wen Chen, Zohreh Talebizadeh
FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach. BMC Bioinform. 12 (S-12) (2011)
Michael Wasikowski, Xue-wen Chen
Combating the Small Sample Class Imbalance Problem Using Feature Selection. IEEE Trans. Knowl. Data Eng. 22 (10) (2010)
Xiaotong Lin, Xue-wen Chen
Mr.KNN: soft relevance for multi-label classification. CIKM (2010)
Bing Han, Meeyoung Park, Xue-wen Chen
A Markov blanket-based method for detecting causal SNPs in GWAS. BMC Bioinform. 11 (S-3) (2010)
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
iLike: integrating visual and textual features for vertical search. ACM Multimedia (2010)
Huilin Xiong, Ya Zhang, Xue-wen Chen, Jiangsheng Yu
Cross-platform microarray data integration using the Normalised Linear Transform. Int. J. Data Min. Bioinform. 4 (2) (2010)
Bing Han, Xue-wen Chen
Detecting SNPs-disease associations using Bayesian networks. BIBM (2010)
Leif E. Peterson, Xue-wen Chen
Editorial. Int. J. Data Min. Bioinform. 3 (4) (2009)
Xue-wen Chen, Haixun Wang, Xiaotong Lin
Learning to rank with a novel kernel perceptron method. CIKM (2009)
Mei Liu, Xue-wen Chen, Raja Jothi
Knowledge-guided inference of domain-domain interactions from incomplete protein-protein interaction networks. Bioinform. 25 (19) (2009)
Zhenqiu Liu, Ronald B. Gartenhaus, Xue-wen Chen, Charles D. Howell, Ming Tan
Survival Prediction and Gene Identification with Penalized Global AUC Maximization. J. Comput. Biol. 16 (12) (2009)
Bing Han, Meeyoung Park, Xue-wen Chen
DASSO-MB: Detection of Epistatic Interactions in Genome-Wide Association Studies Using Markov Blankets. BIBM (2009)
Xiaotong Lin, Mei Liu, Xue-wen Chen
Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms. BMC Bioinform. 10 (S-4) (2009)
Xue-wen Chen, Jong Cheol Jeong
Sequence-based prediction of protein interaction sites with an integrative method. Bioinform. 25 (5) (2009)
Alexander Senf, Xue-wen Chen
Identification of genes involved in the same pathways using a Hidden Markov Model-based approach. Bioinform. 25 (22) (2009)
Xiaotong Lin, Mei Liu, Xue-wen Chen
Protein-Protein Interaction Prediction and Assessment from Model Organisms. BIBM (2008)
Xue-wen Chen, Mei Liu, Yong Hu
Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data. ADMA (2008)
Xue-wen Chen, Michael Wasikowski
FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems. KDD (2008)
Xue-wen Chen, Gopalakrishna Anantha, Xiaotong Lin
Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm. IEEE Trans. Knowl. Data Eng. 20 (5) (2008)
Jiangsheng Yu, Fei Cheng, Huilin Xiong, Wanling Qu, Xue-wen Chen
A Bayesian approach to support vector machines for the binary classification. Neurocomputing 72 (1-3) (2008)
Xue-wen Chen, Bing Han, Jianwen Fang, Ryan J. Haasl
Large-scale Protein-Protein Interaction prediction using novel kernel methods. Int. J. Data Min. Bioinform. 2 (2) (2008)
Xiaotong Lin, Xue-wen Chen
Gene Network Learning Using Regulated Dynamic Bayesian Network Methods. ICMLA (2008)
Xue-wen Chen, Jong Cheol Jeong
Enhanced recursive feature elimination. ICMLA (2007)
Aaron M. Smalter, Seak Fei Lei, Xue-wen Chen
Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks. BIBM (2007)
Huilin Xiong, Ya Zhang, Xue-wen Chen
Normalized Linear Transform for Cross-Platform Microarray Data Integration. ICMLA (2007)
Xue-wen Chen, Jong Cheol Jeong
Minimum reference set based feature selection for small sample classifications. ICML (2007)
Xue-wen Chen, Byron Gerlach, Dechang Chen, Zhenqiu Liu
Structural Risk Minimisation based gene expression profiling analysis. Int. J. Bioinform. Res. Appl. 3 (2) (2007)
Adi L. Tarca, Vincent J. Carey, Xue-wen Chen, Roberto Romero, Sorin Draghici
Machine Learning and Its Applications to Biology. PLoS Comput. Biol. 3 (6) (2007)
Huilin Xiong, Ya Zhang, Xue-wen Chen
Data-Dependent Kernel Machines for Microarray Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (4) (2007)
Xue-wen Chen, Gopalakrishna Anantha, Xinkun Wang
An effective structure learning method for constructing gene networks. Bioinform. 22 (11) (2006)
Alexander Senf, Xue-wen Chen, Anne Zhang
Comparison of One-Class SVM and Two-Class SVM for Fold Recognition. ICONIP (2) (2006)
Huilin Xiong, Xue-wen Chen
Kernel-based distance metric learning for microarray data classification. BMC Bioinform. 7 (2006)
Xue-wen Chen, Sun Kim, Vladimir I. Pavlovic, David P. Casasent
Advanced Signal Processing Techniques for Bioinformatics. EURASIP J. Adv. Signal Process. 2006 (2006)
Xue-wen Chen
Margin-based wrapper methods for gene identification using microarray. Neurocomputing 69 (16-18) (2006)
Xue-wen Chen, Mei Liu
Domain-Based Predictive Models for Protein-Protein Interaction Prediction. EURASIP J. Adv. Signal Process. 2006 (2006)
Xue-wen Chen, Xiang-Yan Zeng, Deborah van Alphen
Multi-class feature selection for texture classification. Pattern Recognit. Lett. 27 (14) (2006)
Huilin Xiong, Xue-wen Chen
Optimized Kernel Machine for Cancer Classification Using Gene Expression Data. CIBCB (2005)
Jiangsheng Yu, Xue-wen Chen
Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data. ISMB (Supplement of Bioinformatics) (2005)
Xue-wen Chen, Mei Liu
Prediction of protein-protein interactions using random decision forest framework. Bioinform. 21 (24) (2005)
Xiang-Yan Zeng, Xue-wen Chen
SMO-based pruning methods for sparse least squares support vector machines. IEEE Trans. Neural Networks 16 (6) (2005)
Xue-wen Chen, Huaixin Chen
Locally optimal search method for identifying genes from microarray data. ICARCV (2004)
David P. Casasent, Xue-wen Chen
New training strategies for RBF neural networks for X-ray agricultural product inspection. Pattern Recognit. 36 (2) (2003)
David P. Casasent, Xue-wen Chen
Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. Neural Networks 16 (5-6) (2003)
Xue-wen Chen, Thomas S. Huang
Facial expression recognition: A clustering-based approach. Pattern Recognit. Lett. 24 (9-10) (2003)