Conference papers (peer reviewed)

  1. P. Zille, V. Calhoun and Y. P. Wang, Enforcing Co-expression in Multimodal Regression Framework, Pacific Symposium on Biocomputing (PSB) 2017, January 3-7, 2017, The Big Island of Hawaii.
  2. P. Zille, V. Calhoun, J. Stephen, T. Wilson, and Y.-P. Wang, Fused estimation of sparse connectivity patterns from rest fMRI, ICASSP’17, March 5-9, New Orleans.
  3. M. Wang, T.-Z. Huang, V. Calhoun, J. Fang, and Y.-P. Wang, Integration of multiple genomic imaging data for the study of schizophrenia using joint nonnegative matrix factorization, ICASSP’17, March 5-9, New Orleans.
  4. O. Richfield, M.A. Alam, V. Calhoun and Y.P. Wang, Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis, 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016), Dec. 15-18, Shenzhen, China.
  5. Md Ashad Alam, Vince Calhoun and Yu-Ping Wang, Influence Function of Multiple Kernel Canonical Analysis to Identify Outliers in Imaging Genetics Data, ACM-BCB 2016, Seattle, WA, October 2-5, 2016
  6. Md Ashad Alam, Osamu Komori, Vince Calhoun and Yu-Ping Wang, Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data, ACM-BCB 2016, Seattle, WA, October 2-5, 2016
  7. K. Dillion and Y.-P Wang, An Image Resolution Perspective on Functional Activity Mapping, the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, FL, USA during August 17-20, 2016
  8. K. Dillion and Y.-P Wang, On Efficient Meta-Filtering of Big Data, the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, FL, USA during August 17-20, 2016
  9. S. P. Deng, D. Lin, V. Calhoun and Y.-P Wang, Predicting Schizophrenia by Fusing Networks from SNPs, DNA Methylation and fMRI Data, the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, FL, USA during August 17-20, 2016
  10. W. Hu, V. Calhoun and Y.-P Wang, Integration of SNP-FMRI-Methylation Data with Sparse Multi-CCA for Schizophrenia Study, the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, FL, USA during August 17-20, 2016
  11. Jian Fang, Dongdong Lin, Zongben Xu, Vince Calhoun and Yu-Ping Wang, Joint Sparse Canonical Correlation Analysis for Detecting Multivariate Differential Imaging Genetics Associations, ISMB 2016 at Orlando, Florida, USA.
  12. Chen Qiao, and Yu-Ping Wang, The effective diagnosis of schizophrenia by using 4-layer RBMs deep networks, the 2015 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015), Washington DC, Nov.9-12, 2015.
  13. Jingyao Li, Dongdong Lin, and Yu-Ping Wang, Segmentation of Multicolor Fluorescence In-Situ Hybridization (M-FISH) Image Using an Improved Fuzzy C-Means Clustering Algorithm incorporating Both Spatial and Spectral Information, the 2015 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015), Washington DC, Nov.9-12, 2015.
  14. Shaolong Cao, Huaizhen Qin, Alexej Gossmann, Hong-Wen Deng and Yu-Ping Wang. Unified tests for fine scale mapping and identifying sparse high-dimensional sequence associations, the 6th ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM-BCB’15), Atlanta, GA, Sept. 9-12, 2015.
  15. Alexej Gossmann, Shaolong Cao and Yu-Ping Wang. Identification of significant genetic variants via SLOPE, and its extension to Group SLOPE, the 6th ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM-BCB’15), Atlanta, GA, Sept. 9-12, 2015.
  16. Junbo Duan, Charles Soussen, David Brie, Jérôme IDIER, Yu-Ping Wang, Mingxi Wan, An optimal method to segment piecewise Poisson distributed signals with application to sequencing data, the IEEE Engineering in Medicine and Biology Society (EMBC'15) in MiCo, Milano Conference Center, Milano, Italy on August 25-29, 2015.
  17. Dongdong LIN, Jigang Zhang, Jingyao Li, Vince Calhoun, Yu-Ping Wang, Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model, International Symposium on Biomedical Imaging (ISBI 2015), New York City, USA, April 16-19, 2015.
  18. S. Cao, H. Qin, J. Li, H. W. Deng, and Y. P. Wang, " Scaled Sparse High Dimensional Tests for Localizing Sequence Variants, the 5th ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM BCB), New port Beach, CA, Sep. 19-23, 2014.
  19. Dongdong Lin,Hao He,Jingyao Li,Hong-Wen Deng,Vince D. Calhoun,Yu-Ping Wang, Network-based investigation of genomic modules associated with functional brain network in schizophrenia, 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM13), Shanghai, China, Dec. 18-21, 2013.
  20. S. Cao, H. Qin, H. W. Deng, and Y. P. Wang, "A generalized sparse regression model with adjustment of pedigree structure for variant detection from next generation sequencing data," presented at the ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM BCB), Washington DC, 2013.
  21. Hongbao Cao, Junbo Duan Dongdong Lin, Vince Calhoun, and Yu-Ping Wang, Sparse representation based biomarker selection for schizophrenia with integrative analysis of fMRI and SNP data, International Symposium on Biomedical Imaging (ISBI 2013), San Francisco, CA, USA, April 8-11, 2013
  22. Jingyao Li, Dongdong LIN, and Yu-Ping Wang, Classification of multicolor fluorescence in situ hybridization (M-FISH) image using structure based sparse representation model with different constraints, International Symposium on Biomedical Imaging (ISBI 2013), San Francisco, CA, USA, April 8-11, 2013
  23. Dongdong LIN, Jigang Zhang, Jingyao Li, Vince Calhoun, Yu-Ping Wang, Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis, International Symposium on Biomedical Imaging (ISBI 2013), San Francisco, CA, USA, April 8-11, 2013
  24. Jinyao Li and Yu-Ping Wang, Classification of Multicolor Fluorescence In-Situ Hybridization (M-FISH) Image Using Regularized Multinomial Logistic Regression, 2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), Orlando, FL, Oct. 7-10, 2012.
  25. Junbo Duan, Ji-Gang Zhang, Hongbao Cao, Hong-Wen Deng and Yu-Ping Wang. Copy Number Variation Estimation from Multiple Next-generation Sequencing Samples, 2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), Orlando, FL, Oct. 7-10, 2012.
  26. Jinyao Li, and Yu-Ping Wang, Classification of Multicolor Fluorescence In-Situ Hybridization (M-FISH) Image Using Structure Based Sparse Representation Model, 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM12), Philadelphia, PA, Oct. 4-7, 2012.
  27. Hongbao Cao, Vince Calhoun and Yu-Ping Wang, Biomarker Identification for Diagnosis of Schizophrenia with Integrated Analysis of fMRI and SNPs, 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM12), Philadelphia, PA, Oct. 4-7, 2012.
  28. Dongdong Lin, Vince Calhoun and Yu-Ping Wang, Correspondence between fMRI and SNP data by canonical correlation analysis, Workshop on Multiscale Biomedical Image Analysis in conjunction with BIBM’12, Philadelphia, PA, Oct. 4-7, 2012.
  29. J. Duan, J. Zhang, H. W. Deng, and Y. P. Wang, "Detection of common copy number variation with application to population clustering from next generation sequencing data," the IEEE Int'l Conf. of the Engineering in Medicine & Biology Soc. (EMBS), San Diego, Aug.28-Sept.1, 2012.
  30. Hongbao Cao, Shufeng Lei, H.W Deng and Yu-Ping Wang, Identification of Genes for Complex Diseases by Integrating Multiple Types of Genomic Data the IEEE Int'l Conf. of the Engineering in Medicine & Biology Soc. (EMBS), San Diego, Aug.28-Sept.1, 2012.
  31. Dongdong Lin, Hongbao Cao, Vince Calhoun, Yu-Ping Wang, Integrating of SNPs and fMRI data for improved classification of schizophrenia, 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM11), Atlanta, GA, Nov. 12-15, 2011. A journal version is being submitted.
  32. Wenlong Tang, Hongbao Cao, Jigang Zhang, Junbo Duan and Yu-Ping Wang, Classifying Six Glioma Subtypes from Combined Gene Expression and CNVs Data Based on Compressive Sensing Approach, 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM11), Atlanta, GA, Nov. 12-15, 2011.
  33. Junbo Duan, Ji-Gang Zhang, John Lefante, Hong-Wen Deng and Yu-Ping Wang, Detection of copy number variation from next generation sequencing data with total variation penalized least square optimization, 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM11), Atlanta, GA, Nov. 12-15, 2011.
  34. Junbo Duan and and Yu-Ping Wang, A joint method to process atomic force microscopy retraction force curves with model selection, Microscopic Image Analysis with Applications in Biology, Chicago, IL, August 1, 2011, MIAAB’11, Aug. 1-3, 2011
  35. Hongbao Cao and Yu-Ping Wang, Classification of multi-color florescence in-situ hybridization (M-FISH) images with sparse representation, ACM Conference on Bioinformatics, Computational Biology and Biomedicine 2011 conference, Chicago, Aug. 1-3, 2011
  36. Yu-Ping Wang, Integrated Analysis of Gene Expression and Gene Copy Number for Gene Shaving based on ICA Approach, 2011 5th International Conference on Bioinformatics and Biomedical Engineering, Wuhan, China, May 10-12, 2011.
  37. Hongbao Cao and Yu-Ping Wang, M-Fish Image Analysis with Improved Adaptive Fuzzy bC-Means Clustering based Segmentation and Sparse Representation Classification,  Proceedings at the ISCA 3rd International Conference on Bioinformatics and Computational Biology (BICoB-2011), March 23-25, 2011 New Orleans, USA
  38. Hongbao Cao and Yu-Ping Wang, Integrated Analysis of Gene Expression and Copy Number Data using Sparse Representation Based Clustering Model, Proceedings at the ISCA 3rd International Conference on Bioinformatics and Computational Biology (BICoB-2011), March 23-25, 2011 New Orleans, USA
  39. Wenlong Tang, Hongbao Cao, and Yu-Ping Wang, Subtyping of Leukemia with Gene Expression Analysis Using Compressive Sensing Method, IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, July 27-29. 2011, San Jose, USA
  40. Wenlong Tang, Uri Tasch, Nagaraj Neerchal, Paul Yarowsky and Yu-Ping Wang, Detection of gait abnormalities in Sprague-Dawley rats after 6-hydroxydopamine injection and the experiment efficient design, IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, July 27-29. 2011, San Jose, USA
  41. Hongbao Cao, and Yu-Ping Wang, Segmentation of M-FISH images for improved classification of chromosomes with an adaptive fuzzy c-means clustering approach, International Symposium on Biomedical Imaging (ISBI 2011), March 29-April 1, 2011, Chicago
  42. Yu-Ping Wang, Qiang Wu and Su-Shing Chen, Multiscale genomic imaging with wavelets signal analysis, International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS'09), Aug. 3-6, 2009, Shanghai, China.
  43. Su-shing chen, Qingfeng Song and Yu-Ping Wang, Genomic Imaging: A Modern Environment for TCM Research, International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS'09), Aug. 3-6, 2009, Shanghai, China.
  44. S.-S. Chen and Yu-Ping Wang, Translational Systems Genomics: Ontology and Imaging, First AMIA Summit on Translational Bioinformatics, San Francisco, CA, March 15-17, 2009.
  45. Yu-Ping Wang, Detection of Chromosomal Abnormalities with Multi-color Fluorescence In Situ Hybridization (M-FISH) Imaging and Multi-Spectral Wavelet Analysis, 30th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society in Vancouver, British Columbia, Canada, August 20-24, 2008.
  46. Yu-Ping Wang, Integration of Gene Expression and Gene Copy Number Variations with Independent Component Analysis, 30th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society in Vancouver, British Columbia, Canada, August 20-24, 2008.
  47. Yu-Ping Wang, Maheswar Gunampally, Jie Chen Douglas Bittel, Merlin G. Butler and Wei-Wen Cai, Accurate Quantification of Gene Expression using Fuzzy Clustering Approaches, Proceedings of the IEEE International Workshop on Genomic Signal Processing (GENSIPS'07), Gustavelund, Tuusula, Finland, June 10-12, 2007.
  48. Yu-Ping Wang, Classification of Multi-color Fluorescence In Situ Hybridization (M FISH) Images with Multi-Spectral Wavelet Representations, IEEE 7th International Symposium on Bioinformatics & Bioengineering (IEEE BIBE 2007), in Boston, Oct. 14-17.
  49. Yu-Ping Wang, Identification of amplifications and deletions in array CGH data using a differential wavelet analysis, IEEE 7th International Symposium on Bioinformatics & Bioengineering (IEEE BIBE 2007), in Boston, Oct. 14-17.
  50. Fazel A., Derakhshani R., and Wang Y., “Classification of Multicolor Fluorescence In Situ Hybridization Images using Gaussian Mixture Models”, Proceedings of ANNIE 2006 Conference, St. Louis, MO, 2006.
  51. J. Chen and Yu-Ping Wang, Detection of DNA copy number changes using statistical change point analysis, Proceedings of the IEEE International Workshop on Genomic Signal Processing 2006, May, College Station, TX.
  52. Yu-Ping Wang and Ashok Dandpat, Classification of Multi-spectral Florescence in Situ Hybridization Images with Fuzzy Clustering and Multiscale Feature Selection, Proceedings of the IEEE International Workshop on Genomic Signal Processing 2006, May, College Station, TX.
  53. Yu-Ping Wang, Y. Wang and P. Spencer, A differential wavelet-based noise reduction approach to improve the clustering of hyperspectral Raman imaging data, 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, April 6-9, Arlinton, VA, 2006.
  54. Yu-Ping Wang, Maheswar Reddy Gunampally and Wei-Wen Cai, Automated segmentation of microarray spots using fuzzy clustering approaches, 2005 IEEE International Workshop on Machine learning for signal processing, September 28 - 30, Mystic, Connecticut. Special Session on machine learning for genomic signal processing, invited paper.
  55. Yu-Ping Wang, Ragib Husain,, Chi-Ming Huang, Automated recognition of synaptic varicosities from microscope, 2005 IEEE International Workshop on Machine learning for signal processing, September 28 - 30, Mystic, Connecticut.
  56. Yu-Ping Wang, Wavelets meet genetic Imaging, Proceedings of SPIE Vol. #5914, conference on Wavelets XI, San Diego, July 31-Aug3, 2005. Invited keynote talk.
  57. Yu-Ping Wang, Fast Frequency estimation using spline wavelets, Proceedings of SPIE Vol. #5914, conference on Wavelets XI, San Diego, July 31-Aug. 3, 2005.,/
  58. Yu-Ping Wang and Ashok Kumar Dandpat, “Segmentation of chromosome regions from multi-color fluorescence in situ hybridization images by fuzzy clustering approaches”, Proceedings of the IEEE International Workshop on Genomic Signal Processing 2005, May, Newport, RI.
  59. Yu-Ping Wang, A. Dandpat and K. Castleman, Classification of M-FISH Images using Fuzzy C-means Clustering Algorithm and Normalization Approaches, Asilomar Conferences on Signals, Systems and Computers, 7-10, Nov., 2004. Invited paper.
  60. Yu-Ping Wang, M-FISH image registration and classification, 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, April, Arlinton, VA, 2004. invited paper.
  61.  
  62. P. Yanala, T. Lu, F. El-Ghussein, C. Zhao, D. Medhi, Y-P. Wang, J. Knopp, J.H.M. Knoll, and P.K. Rogan, Automated detection of metaphase chromosomes in FISH and routine cytogenetics, 2004 American Society of Human Genetics meeting, Canada, 2004.
  63. Wu, Q., T. Chen, X. Li, Y. Wang and K.R. Castleman, "A Multiresolution Autofocusing Method for Automated Microscopy", Microscopy & Microanalysis, San Antonio, TX, Aug. 2003.
  64. Yu-Ping Wang, Q. Wu, K. Castleman, and Z. Liu, Fast filter bank implementation of image interpolation at any scales, 2002 International Conference on Acoustics, Speech and Signal Processing, Orlando, FL, May 13-17, 2002
  65. Wu, Q., Z. Liu, Z. Xiong, Y. Wang, T. Chen and K. R. Castleman, "On optimal subspaces for appearance-based object recognition", 2002 International Conference on Image Processing , Rochester, NY, USA, 2002.
  66. Wu, Q., Y. Wang,, Z. Liu, T. Chen and K. R. Castleman, "The effect of image enhancement on biomedical pattern recognition", Second Joint IEEE EMBS-BMES Conference, Houston, Oct. 23-26, TX, 2002.
  67. Yu-Ping Wang, Q. Wu, K. Castleman, and Z. Xiong, Image enhancemnent using multiscale differential operators, 2001 International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, UT, May, 2001.
  68. Z. Liu, Q. Wu, Z. Xiong, Y. Wang, and K. Castleman, Cascaded differential and wavelet compression of chromosome images, to appear in Proc. SPIE Symposium on Optical Science and Technology, San Diego, CA, August 2001.
  69. Yu-Ping Wang, A. A. Amini, Fast techniques for determining Myocardial Strains from Tagged MRI, World Congress on Medical Physics and Biomedical Engineering, June 2000, Chicago IL.
  70. Yu-ping Wang, S. L. Lee, A general framework for multiscale image representations using B-splines, invited paper, 2000 European Signal Processing Conference.
  71. Wu Qiang, Xiong Zixiang, Ken Castelman, Yu-Ping Wang, Wavelet Based Lossless Coding of Cytogenetic Images with Arbitrary Regions of Support, 2000 IEEE International symposium on Intelligent Signal Processing and Communication Systems. Honolulu, HI, November 2000.
  72. Yu-ping Wang, Multiscale Image Representations from B-splines, Lecture notes. A talk based on this has been given at Washington University, Univ. of Penn., Texas A&M, 2000.
  73. Yu-Ping Wang, Q. Wu, K. Castleman, and Z. Xiong, Image enhancement using multiscale oriented wavelets, 2001 International Conference on Image Processing, Thessaloniki, Greece, October 7-10, 2001.
  74. Peng-Ling He, Yu-Ping Wang and Yi-Jun Liang, "B-Spline Contour Fitting and Transform Representation for Computer Vision," Europe-China Workshop On Geometric Modeling and Invariants for Computer Vision, Xi'an, China, April 1995.
  75. Yu-Ping Wang and Yuan-Long Cai, "Construction and Properties of B-Spline Wavelet Filters for Multiscale Edge Detection," in Proc.IEEE International Conference on Image Processing, Washington, D.C., U.S.A., October 1995.
  76. Yu-Ping Wang, "The Construction and Properties of Wavelet Packet Bases," Proceedings of International Conference on Neural Network and Signal Processing, Guangzhou, China, 1993.
  77. Yu-Ping Wang and Gui-Zhong Liu, "Application of Wavelet Transform to the Time-Varying Filtering of Seismic Signals," Presented at the Western Oil Exploration Conference in China, September 1993.
  78. Yu-Ping Wang and Gui-Zhong Liu, "Reconstruction of Images from Its Projections by Wavelet Transform," Proc. of 4th National CTConference, Beijing, China, October 1992.
  79. Yu-Ping Wang and Yuan-Long Cai, Peng-Ling He, "A Family of Multiscale B-Spline Wavelet Transforms," in Proceedings of International Conference on Neural Network and Signal Processing, Nanjing, China, 1995.
  80. Gui-Zhong Liu, Shuang-Liang Di and Yu-Ping Wang, "Nonorthogonal Wavelet Packet Transform," National Conference on Neural Network, Xi'an, China, October 1993.
  81. Yu-Ping Wang, and Sheng-Wang Zhu, "Filtering the Random Seismic Noise Using Multiscale B-spline wavelet," Technical reports.
  82. Yu-Ping Wang, "Wavelet Theory and its Potential Application to 3-D Computer Vision," Procedings of Mathematical Research in Celebrating 100th anniversary of Tianjin University (Peiyang University), Oct., 1995.
  83. Yu-Ping Wang, Yuan-long Cai, "Multiscale B-Spline Theory and its Application to Computer Vision," Technical reports, 1996.
  84. Yu-Ping Wang, and S. L. Lee, From Gaussian Scale-space to B-spline Scale-space, 1999 International Conference on Acoustics, Speech and Signal Processing, Phonix, AZ, May 2001.
  85. Yu-Ping Wang, A family of multi-orientation wavelet transforms and the comparison with the Radon transform, Technical report, Dec., 1997.
  86. Yu-Ping Wang, A. A. Amini, Fast computation of tagged MRI motion fields with subspace approximation techniques, IEEE workshop on Mathematical Methods in Biomedical Image Analysis 2000
  87. J. Chen and Y.P. Wang, Identification of DNA Copy Number Changes in aCGH Data, Proceedings of The 4th Sino-International Symposium on Probability, Statistics, and Quantitative Management, Taipei, Taiwan, ROC, May 12, 2007