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ORCIDXue-wen Chen 0001
Xue-wen (William) Chen
Person information
- affiliation: Wayne State University, Department of Computer Science
- affiliation: University of Electronic Science and Technology of China (UESTC), Pattern Recognition and Machine Intelligence Lab
- affiliation: University of Kansas, Department of Electrical Engineering and Computer Science
Other persons with the same name
- Xuewen Chen (aka: Xue-wen Chen, Xue-Wen Chen) — disambiguation page
- Xue-wen Chen 0002 — California State University, Department of Electrical and Computer Engineering, Northridge, CA, USA
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2020 – today
- 2023
[j48]Manal Nawar Allahyani, Rahaf Alsulami, Taif Alwafi, Tarik Alafif, Heyfa Ammar
, Sari Sabban, Xue-wen Chen:
DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction. Artif. Intell. 317: 103863 (2023)- 2020
- [j47]Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou:
Locality preserving difference component analysis based on the Lq norm. Pattern Anal. Appl. 23(2): 735-749 (2020) - [j46]Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou:
Correlation classifiers based on data perturbation: New formulations and algorithms. Pattern Recognit. 100: 107106 (2020)
2010 – 2019
- 2019
- [j45]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: 311-319 (2019) - [c44]Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan:
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet 2019: 229-245 - 2018
- [c43]Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye:
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. IEEE BigData 2018: 1417-1426 - [c42]Zeyad Hailat, Xue-wen Chen:
Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels. ICMLA 2018: 907-912 - [c41]Zeyad Hailat, Artem Komarichev, Xue-wen Chen:
Deep Semi-Supervised Learning. ICPR 2018: 2154-2159 - [i7]Kunlei Zhang, Elaheh Rashedi, Elaheh Barati, Xue-wen Chen:
Long-term face tracking in the wild using deep learning. CoRR abs/1805.07646 (2018) - [i6]Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye:
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. CoRR abs/1811.04345 (2018) - 2017
- [j44]Melih S. Aslan, Zeyad Hailat, Tarik K. Alafif, Xue-wen Chen:
Multi-channel multi-model feature learning for face recognition. Pattern Recognit. Lett. 85: 79-83 (2017) - [j43]Huamao Gu, Xun Wang, Xue-wen Chen, Shaoping Deng, Jin-Qin Shi:
Manifold Learning by Curved Cosine Mapping. IEEE Trans. Knowl. Data Eng. 29(10): 2236-2248 (2017) - [c40]Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xue-wen Chen:
On Classifying Facial Races with Partial Occlusions and Pose Variations. ICMLA 2017: 679-684 - [c39]Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xue-wen Chen:
On Detecting Partially Occluded Faces with Pose Variations. ISPAN-FCST-ISCC 2017: 28-37 - [e7]Xue-wen Chen, Bo Luo, Feng Luo, Vasile Palade, M. Arif Wani:
16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017. IEEE 2017, ISBN 978-1-5386-1418-1 [contents] - [i5]Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen:
Learning Deep Networks from Noisy Labels with Dropout Regularization. CoRR abs/1705.03419 (2017) - [i4]Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xue-wen Chen:
Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild. CoRR abs/1706.08690 (2017) - [i3]Elaheh Rashedi, Saba Adabi, Darius Mehregan, Xue-wen Chen:
An Adaptive Cluster-based Wiener Filter for Speckle Reduction of OCT Skin Images. CoRR abs/1708.02285 (2017) - [i2]Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye:
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. CoRR abs/1710.04350 (2017) - 2016
- [j42]Jong Cheol Jeong, George Li, Xue-wen Chen:
GOAL: the comprehensive gene ontology analysis layer. Sci. China Inf. Sci. 59(7): 070108:1-070108:8 (2016) - [j41]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): 99-109 (2016) - [c38]Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen:
Learning Deep Networks from Noisy Labels with Dropout Regularization. ICDM 2016: 967-972 - [c37]Jiangsheng Yu, Xue-wen Chen:
Latent Topic-Semantic Indexing Based Automatic Text Summarization. ICMLA 2016: 120-126 - [p1]Itauma Itauma, Melih S. Aslan, Xue-wen Chen, Flavio Villanustre:
Unsupervised Learning and Image Classification in High Performance Computing Cluster. Big Data Technologies and Applications 2016: 387-400 - 2015
- [j40]Jong Cheol Jeong, Xue-wen Chen:
A New Semantic Functional Similarity over Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 322-334 (2015) - [c36]Hariprasad Sampathkumar, Xue-wen Chen, Bo Luo:
Ontology-Based Visualization of Healthcare Data Mined from Online Healthcare Forums. ICHI 2015: 325-334 - [c35]Itauma Itauma, Melih S. Aslan, Flavio Villanustre, Xue-wen Chen:
Unsupervised Learning and Image Classification in High Performance Computing Cluster. ICMLA 2015: 576-581 - [c34]Xue-wen Chen, Melih S. Aslan, Kunlei Zhang, Thomas S. Huang:
Learning Multi-channel Deep Feature Representations for Face Recognition. FE@NIPS 2015: 60-71 - [c33]Changlin Ma, Meng Wang, Xue-wen Chen:
Topic and Sentiment Unification Maximum Entropy Model for Online Review Analysis. WWW (Companion Volume) 2015: 649-654 - 2014
- [j39]Kunlei Zhang, Xue-wen Chen:
Large-Scale Deep Belief Nets With MapReduce. IEEE Access 2: 395-403 (2014) - [j38]Xue-wen Chen, Xiaotong Lin:
Big Data Deep Learning: Challenges and Perspectives. IEEE Access 2: 514-525 (2014) - [j37]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: 1-3 (2014) - [j36]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: 1-3 (2014) - [j35]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: 91 (2014) - [j34]Hong Cheng, Rongchao Yu, Zicheng Liu, Lu Yang, Xue-wen Chen:
Kernelized pyramid nearest-neighbor search for object categorization. Mach. Vis. Appl. 25(4): 931-941 (2014) - [c32]Yuliang Geng, Xue-wen Chen, Dongxiao Zhu:
A novel semi-supervised learning approach to analyzing metagenomic reads. BCB 2014: 629-630 - [c31]Wenrong Zeng, Xue-wen Chen, Hong Cheng:
Pseudo labels for imbalanced multi-label learning. DSAA 2014: 25-31 - [c30]Melih S. Aslan, Xue-wen Chen, Hong Cheng:
Learning sparse and scale-free networks. DSAA 2014: 326-332 - [c29]Hong Cheng, Jun Luo, Xue-wen Chen:
A windowed dynamic time warping approach for 3D continuous hand gesture recognition. ICME 2014: 1-6 - [c28]Lu Yang, Hong Cheng, Jianan Su, Xue-wen Chen:
Pixel-to-Model background modeling in crowded scenes. ICME 2014: 1-6 - 2013
- [j33]Hong Cheng, Zicheng Liu, Lu Yang, Xue-wen Chen:
Sparse representation and learning in visual recognition: Theory and applications. Signal Process. 93(6): 1408-1425 (2013) - [j32]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): 2257-2270 (2013) - [c27]Jong Cheol Jeong, Xue-wen Chen:
Evaluating topology-based metrics for GO term similarity measures. BIBM 2013: 43-48 - [c26]Meeyoung Park, Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen:
Content-based assessment of the credibility of online healthcare information. IEEE BigData 2013: 51-58 - [i1]Ruoming Jin, Yelong Shen, Lin Liu, Xue-wen Chen:
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CoRR abs/1305.0513 (2013) - 2012
- [j31]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): S14 (2012) - [j30]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) - [c25]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: 674-681 - [c24]Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen:
Mining Adverse Drug Side-Effects from Online Medical Forums. HISB 2012: 150 - [c23]Yuanliang Meng, Junyan Li, Patrick Denton, Yuxin Chen, Bo Luo, Paul Selden, Xue-wen Chen:
IPKB: a digital library for invertebrate paleontology. JCDL 2012: 101-110 - [e6]Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki:
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012. ACM 2012, ISBN 978-1-4503-1156-4 [contents] - 2011
- [j29]Bing Han, Xue-wen Chen, Zohreh Talebizadeh:
FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach. BMC Bioinform. 12(S-12): S3 (2011) - [j28]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): 750-754 (2011) - [j27]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): 308-315 (2011) - [c22]Alexander Senf, Xue-wen Chen:
Functional Gene Detection and Clustering from Seed Gene Sets. BIBM 2011: 179-184 - [c21]Yuxin Chen, Brian Potetz, Bo Luo, Xue-wen Chen, Yunfeng Lin:
Cephalometric Landmark Tracing Using Deformable Templates. HISB 2011: 112-119 - [c20]Jonathan Lutes, Meeyoung Park, Bo Luo, Xue-wen Chen:
Healthcare Information Networks: Discovery and Evaluation. HISB 2011: 190-197 - [e5]Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference. IEEE Computer Society 2011, ISBN 978-0-7695-4607-0 [contents] - [e4]Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop. IEEE Computer Society 2011 [contents] - 2010
- [j26]Bing Han, Meeyoung Park, Xue-wen Chen:
A Markov blanket-based method for detecting causal SNPs in GWAS. BMC Bioinform. 11(S-3): 5 (2010) - [j25]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): 142-157 (2010) - [j24]Michael Wasikowski, Xue-wen Chen:
Combating the Small Sample Class Imbalance Problem Using Feature Selection. IEEE Trans. Knowl. Data Eng. 22(10): 1388-1400 (2010) - [c19]Bing Han, Xue-wen Chen:
Detecting SNPs-disease associations using Bayesian networks. BIBM 2010: 39-42 - [c18]Xiaotong Lin, Xue-wen Chen:
Mr.KNN: soft relevance for multi-label classification. CIKM 2010: 349-358 - [c17]Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen:
iLike: integrating visual and textual features for vertical search. ACM Multimedia 2010: 221-230
2000 – 2009
- 2009
- [j23]Xue-wen Chen, Jong Cheol Jeong:
Sequence-based prediction of protein interaction sites with an integrative method. Bioinform. 25(5): 585-591 (2009) - [j22]Mei Liu, Xue-wen Chen, Raja Jothi:
Knowledge-guided inference of domain-domain interactions from incomplete protein-protein interaction networks. Bioinform. 25(19): 2492-2499 (2009) - [j21]Alexander Senf, Xue-wen Chen:
Identification of genes involved in the same pathways using a Hidden Markov Model-based approach. Bioinform. 25(22): 2945-2954 (2009) - [j20]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) - [j19]Leif E. Peterson, Xue-wen Chen:
Editorial. Int. J. Data Min. Bioinform. 3(4): 363-364 (2009) - [j18]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): 1661-1670 (2009) - [c16]Bing Han, Meeyoung Park, Xue-wen Chen:
DASSO-MB: Detection of Epistatic Interactions in Genome-Wide Association Studies Using Markov Blankets. BIBM 2009: 148-153 - [c15]Xue-wen Chen, Haixun Wang, Xiaotong Lin:
Learning to rank with a novel kernel perceptron method. CIKM 2009: 505-512 - 2008
- [j17]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): 145-156 (2008) - [j16]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): 177-185 (2008) - [j15]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): 628-640 (2008) - [c14]Xue-wen Chen, Mei Liu, Yong Hu:
Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data. ADMA 2008: 532-539 - [c13]Xiaotong Lin, Mei Liu, Xue-wen Chen:
Protein-Protein Interaction Prediction and Assessment from Model Organisms. BIBM 2008: 187-192 - [c12]Xiaotong Lin, Xue-wen Chen:
Gene Network Learning Using Regulated Dynamic Bayesian Network Methods. ICMLA 2008: 717-722 - [c11]Xue-wen Chen, Michael Wasikowski:
FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems. KDD 2008: 124-132 - [e3]Xue-wen Chen, Xiaohua Hu, Sun Kim:
2008 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008, Philadephia, Pennsylvania, USA, November 3-5, 2008. IEEE Computer Society 2008, ISBN 978-0-7695-3452-7 [contents] - [e2]M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez:
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007. IEEE Computer Society 2008, ISBN 0-7695-3069-9 [contents] - [e1]M. Arif Wani, Xue-wen Chen, David P. Casasent, Lukasz A. Kurgan, Tony Hu, Khalid Hafeez:
Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008. IEEE Computer Society 2008, ISBN 978-0-7695-3495-4 [contents] - 2007
- [j14]Xue-wen Chen, Byron Gerlach, Dechang Chen, Zhenqiu Liu:
Structural Risk Minimisation based gene expression profiling analysis. Int. J. Bioinform. Res. Appl. 3(2): 153-169 (2007) - [j13]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) - [j12]Huilin Xiong, Ya Zhang, Xue-wen Chen:
Data-Dependent Kernel Machines for Microarray Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 4(4): 583-595 (2007) - [c10]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: 209-216 - [c9]Xue-wen Chen, Jong Cheol Jeong:
Minimum reference set based feature selection for small sample classifications. ICML 2007: 153-160 - [c8]Xue-wen Chen, Jong Cheol Jeong:
Enhanced recursive feature elimination. ICMLA 2007: 429-435 - [c7]Huilin Xiong, Ya Zhang, Xue-wen Chen:
Normalized Linear Transform for Cross-Platform Microarray Data Integration. ICMLA 2007: 612-617 - 2006
- [j11]Xue-wen Chen, Gopalakrishna Anantha, Xinkun Wang:
An effective structure learning method for constructing gene networks. Bioinform. 22(11): 1367-1374 (2006) - [j10]Huilin Xiong, Xue-wen Chen:
Kernel-based distance metric learning for microarray data classification. BMC Bioinform. 7: 299 (2006) - [j9]Xue-wen Chen, Sun Kim, Vladimir I. Pavlovic, David P. Casasent:
Advanced Signal Processing Techniques for Bioinformatics. EURASIP J. Adv. Signal Process. 2006 (2006) - [j8]Xue-wen Chen, Mei Liu:
Domain-Based Predictive Models for Protein-Protein Interaction Prediction. EURASIP J. Adv. Signal Process. 2006 (2006) - [j7]Xue-wen Chen:
Margin-based wrapper methods for gene identification using microarray. Neurocomputing 69(16-18): 2236-2243 (2006) - [j6]Xue-wen Chen, Xiang-Yan Zeng, Deborah van Alphen:
Multi-class feature selection for texture classification. Pattern Recognit. Lett. 27(14): 1685-1691 (2006) - [c6]Alexander Senf, Xue-wen Chen, Anne Zhang:
Comparison of One-Class SVM and Two-Class SVM for Fold Recognition. ICONIP (2) 2006: 140-149 - 2005
- [j5]Xue-wen Chen, Mei Liu:
Prediction of protein-protein interactions using random decision forest framework. Bioinform. 21(24): 4394-4400 (2005) - [j4]Xiang-Yan Zeng, Xue-wen Chen:
SMO-based pruning methods for sparse least squares support vector machines. IEEE Trans. Neural Networks 16(6): 1541-1546 (2005) - [c5]Huilin Xiong, Xue-wen Chen:
Optimized Kernel Machine for Cancer Classification Using Gene Expression Data. CIBCB 2005: 268-274 - [c4]Xue-wen Chen, Byron Gerlach, David P. Casasent:
Pruning support vectors for imbalanced data classification. IJCNN 2005: 1883-1888 - [c3]Jiangsheng Yu, Xue-wen Chen:
Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data. ISMB (Supplement of Bioinformatics) 2005: 487-494 - 2004
- [c2]Xue-wen Chen, Huaixin Chen:
Locally optimal search method for identifying genes from microarray data. ICARCV 2004: 1037-1042 - 2003
- [j3]David P. Casasent, Xue-wen Chen:
Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. Neural Networks 16(5-6): 529-535 (2003) - [j2]David P. Casasent, Xue-wen Chen:
New training strategies for RBF neural networks for X-ray agricultural product inspection. Pattern Recognit. 36(2): 535-547 (2003) - [j1]Xue-wen Chen, Thomas S. Huang:
Facial expression recognition: A clustering-based approach. Pattern Recognit. Lett. 24(9-10): 1295-1302 (2003) - [c1]David P. Casasent, Xue-wen Chen:
Confidence-clustering supervised radial basis function neural networks. IJCNN 2003: 1423-1428
Coauthor Index
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