Representative        Order By Year        Order By Type

        2018

  1. S. Zhang, J. Wang, K. Xu, M. York, Y. Mo, Y. Chen, Y. Zhou, ``A Comparative Study of Multiclass Feature Selection on RNAseq and Microarray Data," International Journal of Computational Biology and Drug Design, 2018.

  2. C. Ma, T. Gui, X. Dang, Y. Chen, and D. Wilkins, ``Integration of Cancer Data Through Multiple Mixed Graphical Model," The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), pp. -, Washington DC, August 2018.

  3. C. Ma, X. Dang, Y. Chen, and D. Wilkins, ``Pareto Cascade Modeling of Diffusion Networks," Proc. of the International Joint Conference on Neural Networks, pp. 292-298, Rio de Janeiro, Brazil, July 2018.

  4. S. Zhang, J. Wang, T. Ghoshal, D. Wilkins, Y. Mo, Y. Chen, Y. Zhou, ``lncRNA Gene Signatures for Prediction of Breast Cancer Intrinsic Subtypes and Prognosis," Genes, 9(2), 65; doi: 10.3390/genes9020065, 2018.

     

    2017

     

  5. S. Zhang, Y. Mo, T. Ghoshal, D. Wilkins, Y. Chen, Y. Zhou, ''Novel Gene Selection Method for Breaast Cancer Intrinsic Subtypes from Two Large Cohort Study," 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2198-2203, 2017, doi:10.1109/BIBM.2017.8217999

  6. S. Zhang, Y. Chen, and D. Wilkins, ``A Probabilistic Approach to Multiple-Instance Learning," 13th International Symposium on Bioinformatics Research and Applications, pp. 331-336, Hawaii, May 2017.

  7. Z. Luo, X. Dang, and Y. Chen, ``Label Confidence based AdaBoost Algorithm," Proc. of the International Joint Conference on Neural Networks, pp. 3617-3624, Anchorage, Alaska, USA, May 2017.

     

    2016

     

  8. P. Gong, X. Nan, N.D. Barker, R.E. Boyd, Y. Chen, D.E. Wilkins, D.R. Johnson, B.C. Suedel, and E.J. Perkins, ``Predicting Chemical Bioavailability Using Microarray Gene Expression Data and Regression Modeling: A Tale of Three Explosive Compuunds," BMC Genomics, vol. 17, no. 205, 10 pages, 2016.

     

    2015

     

  9. Christopher Ma, Yixin Chen, Dawn Wilkins, Xiang Chen, and Jinghui Zhang, ``An Unsupervised Approach to Find Ovarian Cancer Genes Through Integration of Biological Data," BMC Genomics, vol. 16(Suppl9):S3, 9 pages, 2015.

  10. Kai Yu, Xin Dang, Henry Bart, Jr., and Yixin Chen, ``Robust Model-based Learning via Spatial-EM Algorithm," IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 6, pp. 1670-1682, 2015.

  11. Kai Yu, Xin Dang, Yixin Chen, ``Robustness of the Affine Equivariant Scatter Estimator Based on the Spatial Rank Covariance Matrix," Communications in Statistics - Theory and Methods, vol. 44, no. 5, pp. 914-932, 2015.

     

    2014

     

  12. C. Ma, Y. Chen, and D. Wilkins, ``Ranking of Cancer Genes in Markov Chain Model Through Integration of Heterogeneous Sources of Data," Proc. of the IEEE International Conference on Bioinformatics and Biomedicine, pp. 248-253, Belfast, UK, November 2014.

  13. G. Fu, S. Liu, X. Nan, O. R. Dale, Z. Zhao, Y. Chen, D. Wilkins, S. P. Manly, S. J. Cutler, and R. J. Doerksen, ``Quantitative Structure-Activity Relationship Analysis and a Combined Ligand-Based/Structure-Based Virtual Screening Study for Glycogen Synthase Kinase-3," Molecular Informatics, vol. 33, no. 9, pp. 627-640, 2014.

  14. S. Liu, S. Dissanayake, S. Patel, X. Dang, T. Mlsna, Y. Chen and D. Wilkins, ``Learning Accurate and Interpretable Models Based on Regularized Random Forests Regression," BMC Systems Biology, vol. 8(Suppl 3):S5, 9 pages, 2014.

  15. Z. Zhao, G. Fu, S. Liu, K. M. Elokely, R. J. Doerksen, Y. Chen, and D. Wilkins, ``Drug Activity Prediction Using Multiple-instance Learning via Joint Instance and Feature Selection," BMC Bioinformatics, vol. 14(Suppl 14):S16, 12 pages, 2013.

  16. S. Liu, Y. Chen, D. Wilkins, ``Evaluation of Random Forest Based Rule Learning," The Eleventh Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 132, Stillwater, OK, March 2014.

  17. C. Ma, Y. Chen, D. Wilkins, ``Identification of Cancer Driving Mutations Using a Two-hit Model Assumption," The Eleventh Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 134, Stillwater, OK, March 2014.

     

    18. 2013

     

  18. S. Liu, S. Dissanayake, S. Patel, X. Dang, T. Mlsna, Y. Chen and D. Wilkins, ``Rule Based Regression and Feature Selection for Biological Data," Proc. of the IEEE International Conference on Bioinformatics and Biomedicine, pp. 446-451, Shanghai, China, December 2013.

  19. Kai Yu, Xin Dang, Henry Bart, Jr., Yixin Chen, ``Robust Finite Mixture Learning and its Application to Taxonomic Research," 2013 International Conference on Data Mining and Intelligent Information Technology Applications (ICMIA), 8 pages, Jeju Island, Korea, June 2013.

  20. James Church, Ray Schmidt, Henry Bart Jr., Xin Dang, and Yixin Chen, Straightening 3-D Surface Scans of Curved Natural History Specimens for Taxonomic Research, 12th IEEE/ACIS International Conferenceon Computer and Information Science (ICIS 2013) (one of 20 best papers selected to publish at Springer's Studies in Computational Intelligence Series, Vol 493, Computer and Information Science), pp. 215-229, 2013.

  21. Z. Zhao, G. Fu, S. Liu, K. M. Elokely, R. Doerksen, Y. Chen, D. Wilkins, ``Drug Activity Prediction Using Multi-Instance Learning via Joint Instance and Feature Selection," The Tenth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 60, Columbia, MO, April 2013.

  22. S. Liu, S. Dissanayake, S. Patel, T. Mlsna, X. Dang, Y. Chen, D. Wilkins, ``Rule Based Regression and Feature Selection for Biological Data," The Tenth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 67, Columbia, MO, April 2013.

  23. C. Ma, Y. Chen, D. Wilkins, ``A Comparative Study of Linear and Nonlinear Dimensionality Reduction Methods Using Gene Expression Data," The Tenth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 117, Columbia, MO, April 2013.

  24. T. Gui, X. Nan, D. Wilkins, Y. Chen, ``Classification and Feature Selection Using Hybrid Top Pairs on Microarray Data," The Tenth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 119, Columbia, MO, April 2013.

     

    2012

     

  25. Sheng Liu, Ronak Y. Patel, Pankaj R. Daga, Haining Liu, Gang Fu, Robert Doerksen, Yixin Chen, and Dawn Wilkins, ``Combined Rule Extraction and Feature Elimination in Supervised Classification," IEEE Transactions on Nanobioscience, vol. 11, no. 3, pp. 228-236, 2012.

  26. Gang Fu, Xiaofei Nan, Haining Liu, Ronak Y. Patel, Pankaj R. Daga, Yixin Chen, Dawn E. Wilkins, Robert J. Doerksen, ``Implementation of Multiple-Instance Learning in Drug Activity Prediction," BMC Bioinformatics, vol. 13(Suppl 15):S3, 12 pages, 2012.

  27. Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, and Dawn Wilkins, ``Biomarker Discovery Using 1-Norm Regularization for MultiClass Earthworm Microarray Gene Expression Data," Neurocomputing, vol. 92, September, pp. 36-43, 2012. (PDF,) (citation)

  28. Sheng Liu, Yixin Chen, Dawn Wilkins, ``Large Margin Classifiers and Random Forests for Integrated Biological Prediction on Mixed Type Data," International Journal of Bioinformatics Research and Applications, vol. 8, nos. 1/2, pp. 38--53, 2012. (PDF,) (citation)

  29. Fei Teng, Yixin Chen, Xin Dang, ``Multiclass Classification with Potential Function Rules: Margin Distribution and Generalization," Pattern Recognition, vol. 45, no. 1, pp. 540--551, 2012. (PDF, 333KB) (citation)

  30. Chad Vicknair, Dawn Wilkins, and Yixin Chen, ``MySQL and The Trouble with Temporal Data," Proc. of the ACM Southeast Conference (ACMSE), 6 pages, Tuscaloosa, Alabama, March 2012. (PDF,) (citation)

  31. Jason Boyd and Yixin Chen, ``An Open Source Stimulator for SSVEP-Based BCIs," Proc. of the ACM Southeast Conference (ACMSE), 6 pages, Tuscaloosa, Alabama, March 2012. (PDF,) (citation)

  32. G. Fu, X. Nan, H. Liu, R. Patel, P. Daga, K. Elokely, Y. Chen, D. Wilkins, R. Doerksen, ``Multiple-Instance Learning (MIL): A Framework to Identify Bioactive Conformations," The Ninth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 57, Oxford, MS, February 2012.

  33. P. Gong, X. Nan, N. Barker, Y. Chen, D. Wilkins, E. Perkins, ``Regression Models for Predicting Tissue Residue of Two Explosive Compounds using Earthworm Microarray Data," The Ninth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 65, Oxford, MS, February 2012.

  34. S. Liu, X. Dang, Y. Chen, D. Wilkins, ``Learning Rule-Based Regression Models using Regularized Random Forests," The Ninth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 90, Oxford, MS, February 2012.

  35. Z. Zhao, G. Fu, X. Nan, S. Liu, H. Liu, R. Doerksen, Y. Chen, D. Wilkins, ``Co-training in Classifying Scientific Data," The Ninth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 104, Oxford, MS, February 2012.

  36. X. Nan, P. Gong, N. Barker, E. Perkins, Y. Chen, D. Wilkins, ``Earthworm Time-Series Microarray Classification using Two-gene Expression Comparisons," The Ninth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 112, Oxford, MS, February 2012.

  37. S. Liu, S. Dissanayake, S. Patel, Z. Zhao, Y. Chen, D. Wilkins, T. Mlsna, ``Efficient Biomarker Identification using Pattern Classification Algorithms," The Ninth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 114, Oxford, MS, February 2012.

     

    2011

     

  38. Sheng Liu, Ronak Y. Patel, Pankaj R. Daga, Haining Liu, Gang Fu, Robert Doerksen, Yixin Chen, Dawn Wilkins, ``Multi-Class Joint Rule Extraction and Feature Selection for Biological Data," Proc. of the IEEE International Conference on Bioinformatics and Biomedicine, pp. 476--481, Atlanta, GA USA, November 2011. (PDF,) (citation)

  39. Xiaofei Nan, Gang Fu, Zhengdong Zhao, Sheng Liu, Ronak Y. Patel, Haining Liu, Pankaj R. Daga, Robert J. Doerksen, Xin Dang, Yixin Chen, and Dawn Wilkins, `` Leveraging Domain Information to Restructure Biological Prediction," BMC Bioinformatics, vol. 12(Suppl 10), S22, 15 pages, 2011.

  40. Fei Teng, Yixin Chen, Aik Min Choong, Scott Gustafson, Christopher Reichley, Pamela Lawhead, and Dwight Waddell, ``Square or Sine: Finding a Waveform with High Success Rate of Eliciting SSVEP," Computational Intelligence and Neuroscience, vol. 2011, Article ID 364385, 5 pages, 2011. doi:10.1155/2011/364385.

  41. Xiaofei Nan, Gang Fu, Zhendong Zhao, Sheng Liu, Ronak Y. Patel, Haining Liu, Pankaj R. Daga, Robert J. Doerksen, Yixin Chen, Dawn Wilkins, ``Leveraging Domain Information to Restructure Biological Prediction," The Eighth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 35, College Station, TX, April 2011.

  42. Sheng Liu, Yixin Chen, Dawn Wilkins, Robert J. Doerksen, ``Joint Rule Extraction and Feature Selection from Multi-Class Biological Data," The Eighth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 54, College Station, TX, April 2011.

  43. Sheng Liu, Jimmy Huang, Nan Wang, Robert J. Doerksen, Yixin Chen, Dawn Wilkins, ``Improving Glycan Classification with TF/IDF Weighting Scheme," The Eighth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 53, College Station, TX, April 2011.

     

    2010

     

  44. Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, and Dawn Wilkins, ``Gene Selection Using 1-Norm Regularization for Multi-Class Microarray Data," Proc. of the IEEE International Conference on Bioinformatics and Biomedicine, pp. 520--524, Hong Kong, China, December 2010. (PDF, ) (citation)

  45. Sheng Liu, Yixin Chen, and Dawn Wilkins, ``Large Margin Classifiers and Random Forests for Integrated Biological Prediction on Mixed Type Data," Proc. of the 7th Annual Biotechnology and Bioinformatics Symposium (BIOT), pp. 11--18, Lafayette, La, October 2010. (PDF, ) (citation)

  46. Xiaofei Nan, Yixin Chen, Dawn Wilkins, Nan Wang, Ping Gong, Chaoyang Zhang, ``An Embedded Feature Selection Approach to Multiclass Gene Selection," Proc. of the 7th Annual Biotechnology and Bioinformatics Symposium (BIOT), pp. 93--94, Lafayette, La, October 2010.

  47. Fei Teng, Aik Min Choong, Scott Gustafson, Dwight Waddell, Christopher Reichley, Pamela Lawhead, Yixin Chen, ``Harmonics in SSVEP: Are They Evoked by the Fundamental Frequency or by the Artifacts of the Stimuli?," The Fourth International BCI Meeting, Asilomar, CA, May 2010.

  48. Dwight Waddell, Aik Min Choong, Joseph Smith, Fei Teng, Christopher Reichley, Pamela Lawhead, Yixin Chen, ``Preferred Programming Languages to Illicit Steady State Visual Evoked Potentials from a CRT Monitor," The Fourth International BCI Meeting, Asilomar, CA, May 2010.

  49. Christopher Reichley, Aik Min Choong, Fei Teng, Dwight Waddell, Pamela Lawhead, Scott Gustafson, Yixin Chen, ``EEG Processing and Robotic Bio-Feedback Interfaces," The Fourth International BCI Meeting, Asilomar, CA, May 2010.

  50. Fei Teng, Aik Min Choong, Scott Gustafson, Dwight Waddell, Pamela Lawhead, and Yixin Chen,``Steady State Visual Evoked Potentials by Dual Sine Waves," Proc. of the ACM Southeast Conference (ACMSE), pp. --, Oxford, Mississippi, April 2010. (PDF, 76KB) (citation)

  51. Xiaofei Nan, Yixin Chen, Xin Dang, and Dawn Wilkins, ``Learning to Rank Using 1-norm Regularization and Convex Hull Reduction," Proc. of the ACM Southeast Conference (ACMSE), pp. --, Oxford, Mississippi, April 2010. (PDF, 121KB) (citation)

  52. Chad Vicknair, Michael Macias, Zhendong Zhao, Xiaofei Nan, Yixin Chen, and Dawn Wilkins, ``A Comparision of a Graph Database and a Relational Database: A Data Provenance Perspective," Proc. of the ACM Southeast Conference (ACMSE), pp. --, Oxford, Mississippi, April 2010. (PDF, 95KB) (citation)

  53. Sheng Liu, Yixin Chen, and Dawn Wilkins, ``Diffusion Kernel Large Margin Random Forest Classification for Integrated Biological Prediction," The Seventh Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 92, Jonesboro, AR, February 2010.

  54. Chad Vicknair, Michael Macias, Zhendong Zhao, Xiaofei Nan, Yixin Chen, and Dawn Wilkins, ``An Empirical Comparison of Data Management Methods for Scientific Workflow Metadata," The Seventh Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, pp. 126, Jonesboro, AR, February 2010.

  55. Yixin Chen, Shuqing Huang, Huimin Chen, and Henry L. Bart, Jr., ``Joint Feature Selection and Classification for Taxonomic Problems within Fish Species Complexes," Pattern Analysis and Applications, vol. 13, no. 1, pp. 23-34, 2010. (PDF, 294KB) (citation)

     

    2009

     

  56. Cuilan Gao, Xin Dang, Yixin Chen and Dawn Wilkins, "Graph Ranking for Exploratory Gene Data Analysis," BMC Bioinformatics, vol. 10, Suppl 11, S19 (14 pages), 2009. (PDF, 1151KB) (citation)

  57. Yixin Chen, Xin Dang, Hanxiang Peng, and Henry L. Bart, Jr., ``Outlier Detection with the Kernelized Spatial Depth Function," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 288-305, 2009. (PDF, 785K) (citation)

  58. Vasile Rus, Xiaofei Nan, Sajjan Shiva, Yixin Chen, ``Clustering of Defect Reports Using Graph Partitioning Algorithms," Proc. of The 21st International Conference on Software Engineering and Knowledge Engineering (SEKE), pp. 442-445, Boston, July 2009. (PDF, 46KB) (citation)

  59. Fei Teng and Yixin Chen, ``High Dimensional Data Modeling Analysis Using Normalized Latent Space Model," Journal of the Mississippi Academy of Sciences, vol. 54, no. 1, pp. 89, 2009.

  60. James C. Church and Yixin Chen, ``An Approximation Algorithm for Generating Neighborhood Graphs," Journal of the Mississippi Academy of Sciences, vol. 54, no. 1, pp. 90, 2009.

  61. Xiaofei Nan and Yixin Chen, ``A Probabilistic Latent Semantic Analysis Approach to Movie Rating Prediction," Journal of the Mississippi Academy of Sciences, vol. 54, no. 1, pp. 93, 2009.

     

    2008

     

  62. James C. Church, Yixin Chen, and Steven V. Rice,``A Spatial Median Filter for Noise Removal in Digital Images," Proc. of the IEEE Southeast Conference (SECON), pp. 618-623, Huntsville, Alabama, April 2008. (PDF, 1171KB) (citation)

     

    2007

     

  63. Yixin Chen, Henry L. Bart, Jr., Xin Dang, and Hanxiang Peng, ``Depth-Based Novelty Detection and its Application to Taxonomic Research," The Seventh IEEE International Conference on Data Mining (ICDM), pp. 113-122, Omaha, Nebraska, October 2007. (PDF, 477KB) (citation)

  64. Yixin Chen, ``Support Vector Machines and Fuzzy Systems," Soft Computing for Knowledge Discovery and Data Mining, O. Maimon and L. Rokach (eds), pp. 215-233, Springer, 2007. (citation)

  65. James Z. Wang, Nozha Boujemaa, and Yixin Chen, ``High Diversity Transforms Multimedia Information Retrieval into a Cross-Cutting Field," ACM SIGMOD Record, vol. 36, no. 1, pp. 57-59, March 2007, to appear. (PDF, 158KB) (citation)

    2006

  66. Yixin Chen, Jinbo Bi, and James Z. Wang, ``MILES: Multiple-Instance Learning via Embedded Instance Selection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 1931-1947, 2006. (PDF, 5MB, source code) (citation)

  67. Ya Zhang, Yixin Chen, and Xiang Ji, ``Motif Discovery as a Multiple-Instance Problem," Proc. of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 805-809, Washington D.C., November 2006. (PDF, 88K) (citation)

  68. Yong Yi, John E. McInroy, and Yixin Chen, ``Fault Tolerance of Parallel Manipulators Using Task Space Redundancy and Kinematic Redundancy," IEEE Transactions on Robotics,  vol. 22, no. 5, pp. 1017-1021, 2006. (PDF, 203KB) (citation)

  69. Vassil Roussev, Yixin Chen, Timothy Bourg, and Golden G. Richard III, ``md5bloom: Forensic Filesystem Hashing Revisited," Digital Investigation, vol. 3, supplement 1, pp. 82-90, 2006. (PDF, 331KB) (citation)

  70. Dehua Zhao, Yixin Chen, and Hernan Correa,``Automated Classification of Human Histological Images, A Multiple-Instance Learning Approach," Proceedings of the Second IEEE Life Science Systems and Application (LSSA) Workshop, pp. 122-123, Bethesda, Maryland, July 2006. (PDF, 666K) (citation)

  71. Bin Fu, Golden G. Richard III, Yixin Chen, and Adbo Husseiny, ``Some New Approaches For Preventing Software Tampering," 44th ACM Southeast Conference (ACMSE), pp. 655-660, Melbourne, Florida, March 2006. (PDF, 96K) (citation)

  72. James Z. Wang, Kurt Grieb, Ya Zhang, Ching-chih Chen, Yixin Chen and Jia Li, ``Machine Annotation and Retrieval for Digital Imagery of Historical Materials," International Journal on Digital Libraries, (Special Issue on Multimedia Contents and Management in Digital Libraries), vol. 6, no. 1, pp. 18-29, Springer-Verlag, 2006. (PDF, 869KB) (citation)

  73. Yixin Chen, Ya Zhang, and Xiang Ji, ``Size Regularized Cut for Data Clustering," Advances in Neural Information Processing Systems (NIPS), 18, MIT Press, Cambridge, pp. 211-218, 2006. (PDF, 196K) (citation)

  74. Ya Zhang, Chao-Hisen Chu, Yixin Chen, Hongyuan Zha, and Xiang Ji, ``Splice Site Prediction Using Support Vector Machines with a Bayes Kernel," Expert Systems with Applications: An International Journal, (Special issue on Intelligent Bioinformatics Systems), vol. 30, no. 1, pp. 73-81, 2006. (PDF, 179KB) (citation)

    75. 2005

  75. Yixin Chen, Vassil Roussev, Golden G. Richard III, and Yun Gao, ``Content-Based Image Retrieval for Digital Forensics," Research Advances in Digital Forensics, pp. 271-282, Springer, 2005. (citation)

  76. Yixin Chen, Henry L. Bart, Jr., Shuqing Huang, and Huimin Chen, ``A Computational Framework for Taxonomic Research: Diagnosing Body Shape within Fish Species Complexes," The Fifth IEEE International Conference on Data Mining (ICDM), pp. 593-596, Houston, Texas, November 2005. (PDF, 219K) (citation)

  77. Yixin Chen, Henry L. Bart, Jr., and Fei Teng, ``A Content-Based Image Retrieval System for Fish Taxonomy," 7th ACM SIGMM International  Workshop on Multimedia Information Retrieval (MIR), pp. 237-244, Singapore, November 2005. (PDF, 1641K) (citation)

  78. Yixin Chen, James Z. Wang, and Robert Krovetz, ``CLUE: Cluster-Based Retrieval of Images by Unsupervised Learning," IEEE Transactions on Image Processing, vol. 14, no. 8, pp. 1187-1201, 2005. (PDF, 6MB) (citation)

  79. Dehua Zhao, Yixin Chen, and Hernan Correa, ``Statistical Categorization of Human Histological Images," Proc. IEEE International Conference on Image Processing (ICIP), vol. III, pp. 628-631, Genova, Italy, September 2005. (PDF, 994K) (citation)

  80. Ya Zhang, Chao-Hisen Chu, Hongyuan Zha, Yixin Chen, and Xiang Ji, ``A Probabilistic Kernel for Splice Site Prediction," Proc. 8th Joint Conference on Information Sciences, pp. 1278-1281, Salt Lake City, Utah, July 2005. (PDF, 480K) (citation)

  81. Jinbo Bi, Yixin Chen, and James Z. Wang, ``A Sparse Support Vector Machine Approach to Region-Based Image Categorization," Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), vol. I, pp.1121-1128, San Diego, California, June 2005. (PDF, 140K) (citation)

  82. Yixin Chen and Jinbo Bi, ``Clustering by Maximizing Sum-of-Squared Separation Distance," Workshop on Clustering High Dimensional Data and its Applications (in conjunction with 2005 SIAM International Conference on Data Mining), pp. 1-12, Newport Beach, California, April 2005. (PDF, 698K) (citation)

    2004

  83. Yixin Chen, Jia Li, and James Z. Wang, Machine Learning and Statistical Modeling Approaches to Image Retrieval (Monograph), Kluwer Academic Publishers, Dordrecht, 2004. (200 pages, Table of Contents, 39KB) (citation)

  84. Yixin Chen and James Z. Wang, ``Image Categorization by Learning and Reasoning with Regions," Journal of Machine Learning Research, vol. 5, pp. 913-939, 2004. (PDF, 1.2MB, Data sets and source code) (citation)

  85. Yixin Chen and John E. McInroy, ``Decoupled Control of Flexure Jointed Hexapods Using Estimated Joint Space Mass-Inertia Matrix," IEEE Transactions on Control Systems Technology, vol. 12, no. 3, pp. 413-421, 2004. (PDF, 274KB) (citation)

    86. 2003

  86. Yixin Chen and James Z. Wang, ``Support Vector Learning for Fuzzy Rule-Based Classification Systems," IEEE Transactions on Fuzzy Systems, vol. 11, no. 6, pp. 716-728, 2003. (PDF, 1MB) (citation)

  87. Yixin Chen, John E. McInroy, and Yong Yi, ``Optimal, Fault-Tolerant Mappings to Achieve Secondary Goals without Compromising Primary Performance," IEEE Transactions on Robotics and Automation, vol. 19, no. 4, pp. 680-691, 2003. (PDF, 2.9MB) (citation)

  88. Yixin Chen, James Z. Wang, and Robert Krovetz, ``Content-Based Image Retrieval by Clustering," 5th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR), pp. 193-200, Berkeley, CA, November 2003. (PDF, 450K) (citation)

  89. Yixin Chen, ``A Machine Learning Approach to Content-Based Image Indexing and Retrieval," Ph.D. Dissertation, Department of Computer Science and Engineering, The Pennsylvania State University, June 2003. (PDF, 6.3MB) (citation)

  90. Yixin Chen, James Z. Wang, and Robert Krovetz, ``An Unsupervised Learning Approach to Content-Based Image Retrieval," Proc. IEEE International Symposium on Signal Processing and its Applications (ISSPA), pp. 197-200, Paris, France, July 2003. (invited) (PDF, 720KB) (citation)

  91. Yixin Chen and John E. McInroy, ``A Task Space Redundancy-Based Scheme for Motion Planning," Proc. American Control Conference (ACC), pp. 3435-3441, Denver, CO, June 2003. (PDF, 1.4MB) (citation)

  92. Yixin Chen and James Z. Wang, ``Kernel Machines and Additive Fuzzy Systems: Classification and Function Approximation," Proc. IEEE International Conference on Fuzzy Systems, pp. 789-795, St. Louis, MO, May 2003. (PDF, 175KB) (citation)

  93. Yixin Chen and James Z. Wang, ``Looking Beyond Region Boundaries: A Robust Image Similarity Measure Using Fuzzified Region Features," Proc. IEEE International Conference on Fuzzy Systems, pp. 1165-1170, St. Louis, MO, May 2003. (invited) (PDF, 683KB) (citation)

    94. 2002

  94. Yixin Chen and John E. McInroy, ``Estimation of Symmetric, Positive Definite Matrices from Imperfect Measurements," IEEE Transactions on Automatic Control, vol. 47, no. 10, pp, 1721-1725, 2002. (PDF, 177KB) (citation)

  95. Yixin Chen and James Z. Wang, ``A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1252-1267, 2002. (PDF, 7MB) (citation)

  96. Yixin Chen and John E. McInroy, ``Estimating Symmetric, Positive Definite Matrices in Robotic Control," Proc. IEEE International Conference on Robotics and Automation (ICRA), pp. 4269-4274, Washington D.C., May 2002. (PDF, 180KB) (citation)

  97. Yixin Chen and Bogdan M. Wilamowski, ``TREAT: A Trust-Region-based Error-Aggregated Training Algorithm for Multi-Layer Feedforward Neural Networks," Proc. IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1463-1468, Honolulu, Hawaii, May 2002. (PDF, 160KB) (citation)

  98. Yong Yi, John E. McInroy, and Yixin Chen, ``General Over-Constrained Rigid Multibody Systems: Differential Kinematics and Fault Tolerance," SPIE International Symposium on Smart Structures and Materials, vol. 4701, pp. 189-199, San Diego, CA, March 2002. (PDF, 804KB) (citation)

    99. 2001

  99. Yixin Chen, James Z. Wang, and Jia Li, ``FIRM: Fuzzily Integrated Region Matching for Content-Based Image Retrieval," Proc. ACM International Conference on Multimedia (MM), pp. 543-545, Ottawa, September 2001. (PDF, 93KB) (citation)

  100. Yixin Chen and James Z. Wang, ``Looking Beyond Region Boundaries: Region-Based Image Retrieval Using Fuzzy Feature Matching," Proc. Multimedia Content-Based Indexing and Retrieval Workshop, pp. 37-40, INRIA Rocquencourt, France, September 2001. (PDF, 565KB) (citation)

  101. Yixin Chen, ``Decoupling Control of Flexure Jointed Hexapods," Ph.D. Dissertation, Department of Electrical Engineering, University of Wyoming, June 2001. (PDF, 832KB) (citation)

    102. 2000

  102. Yixin Chen and John E. McInroy, ``Identification and Decoupling Control of Flexure Jointed Hexapods," Proc. IEEE International Conference on Robotics and Automation (IRCA), pp. 1936-1941, San Francisco, CA, April 2000. (PDF, 127KB) (citation)

    103. 1999

  103. Yixin Chen, ``Estimation of a Hexapod's Joint Space Mass-Inertia Matrix," MS Thesis, Department of Electrical Engineering, University of Wyoming, December 1999. (PDF, 432KB) (citation)

  104. Bogdan M. Wilamowski, Yixin Chen, and Aleksander Malinowski, ``Efficient Algorithm for Training Neural Networks with One Hidden Layer," Proc. IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1725-1728, July 1999. (PDF, 224KB) (citation)

  105. Yixin Chen and Deyun Xiao, ''An Extension Principle-Based Fuzzy Model and its Identification Algorithm," ACTA AUTOMATICA SINICA, vol. 25, no. 6, pp. 743-749, 1999. (in Chinese) (citation)

  106. Yixin Chen and Deyun Xiao, ''Fuzzy Identification and Control Algorithms Based on an ETSK Model," Proc. International Federation of Automatic Control 14th World Congress (IFAC), vol K, pp. 291-296, Beijing, July 1999. (PDF, 1.7MB) (citation)

  107. Yongyi Chen and Yixin Chen, ``Comments on Fuzzy Logic Control from the Viewpoint of Engineering Application," FUZZY SYSTEMS AND MATHEMATICS, vol. 13, no. 2, 33-36, 1999. (in Chinese) (citation)

  108. Yixin Chen and Deyun Xiao, ``The Identification of ETSK Fuzzy Model and a Kind of Fuzzy Control Algorithm," FUZZY SYSTEMS AND MATHEMATICS, vol. 13, no. 1, pp. 66-75, 1999. (in Chinese) (citation)

    109. 1998

  109. Yixin Chen, ``A Study on Identification and Control Methods Based on ETSK Model and Design of a Special Fuzzy Control Unit," MS Thesis, Department of Automation, Tsinghua University, June 1998. (citation)

    110. 1997

  110. Jun Zhang and Yixin Chen, ``Food Sensory Evaluation Employing Artificial Neural Networks," Sensor Review, vol. 17, no 2, 1997, pp. 150-158, 1997. (citation)

    111. 1996

  111. Yixin Chen and Yongyi Chen, ``An Improvement in Dynamic Characteristics of Fuzzy Logic Controller," FUZZY SYSTEMS AND MATHEMATICS, vol. 10, no. 3, pp. 76-81, 1996. (in Chinese) (citation)

    112. 1995

  112. Jikai Yi, Yixin Chen, and Lin Wang, ``The Application of Fuzzy Control in the Regulation of Constant Temperature for Liquid State CO2," Journal of Beijing Polytechnic University, vol. 21, no. 4, pp. 30-38, 1995. (citation)

    113. 1993

  113. Yongyi Chen and Yixin Chen, ``Factor Space and Expert System of Natural Disaster Forecast," Proc. 5th International Fuzzy Systems Association World Congress (IFSA), pp. 719-720, 1993. (citation)