Jieyue Li's Personal Homepage

 

 

Jieyue Li

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Curriculum vitae


PhD student

Department of Biomedical Engineering

MS student

Machine Learning Department

Carnegie Mellon University,
Pittsburgh, PA 15213


Advisor

Robert F. Murphy


Former Advisor

Xiaoxiang Zheng


Research Interest

I'm interested in various multidiscipline fields of Machine Learning, Image Analysis, Data Mining, Quantitative Research, Biomedical-Image Informatics, Statistical Modeling, Pattern Recognition, Computer Vision, Image Processing and so on.

My current research focuses on automated learning of Subcellular Protein Location Patterns from Human Protein Atlas and on building Statistically Generative Models of 3D or 4D Subcellular Component Distributions (such as filaments of microtubules).

Publications

    Recent publications (More publications are coming soon in more outstanding journals...):
  1. Jieyue Li, Aabid Shariff, Mikaela Wiking, Emma Lundberg, Gustavo K. Rohde and Robert F. Murphy. Estimating microtubule distributions from 2D immunofluorescence microscopy images reveals differences among human cultured cell lines. PLoS ONE (2012) 7(11): e50292. doi:10.1371/journal.pone.0050292
  2. Jieyue Li, Justin Y. Newberg, Mathias Uhlen, Emma Lundberg, and Robert F. Murphy. Automated Analysis and Reannotation of Subcellular Locations in Confocal Images from the Human Protein Atlas. PLoS ONE (2012) 7(11): e50514. doi:10.1371/journal.pone.0050514
  3. Jieyue Li, Liang Xiong, Jeff Schneider, and Robert F. Murphy. Protein subcellular location pattern classification in cellular images using latent discriminative models. Bioinformatics (Intelligent Systems for Molecular Biology, ISMB, 2012) 28(12): i32-i39. doi:10.1093/bioinformatics/bts230. (Acceptance rate ~13%) Presentation
  4. Taraz E. Buck, Jieyue Li, Gustavo K. Rohde, and Robert F. Murphy. Toward the virtual cell: Automated approaches to building models of subcellular organization "learned" from microscopy images. Bioessays (2012) 34(9):791-799. doi: 10.1002/bies.201200032.
  5. Justin Newberg, Jieyue Li, Arvind Rao, Fredrik Ponten, Mathias Uhlen, Emma Lundberg, and Robert F. Murphy. Automated Analysis of Human Protein Atlas Immunofluorescence Images. Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, Boston, MA, USA: 1023-1026.
  6. Previous (Prior to 2008):
  7. Xiangping Wu, Jieyue Li, Yingke Xu, Kedi Xu, and Xiaoxiang Zheng. Three-dimensional tracking of GLUT4 vesicles in TIRF microscopy. Journal of Zhejiang University SCIENCE A (2008) 9(2): 232-240.
  8. Yingke Xu, Kedi Xu, Jieyue Li, Linqing Feng, Di Lang, and Xiaoxiang Zheng. Bi-directional transport of GLUT4 vesicles near the plasma membrane of primary rat adipocytes. Biochemical and Biophysical Research Communications (2007) 359(1): 121-128.
  9. Yingke Xu, Jieyue Li, Kedi Xu, Xiaoxiang Zheng. Real-time and dynamic tracking of single GLUT4 vesicles in primary rat adipocytes: application of total internal reflection fluorescence microscopy. Journal of Zhejiang University (Engineering Science) (2007-12).
  10. Tiannan Wang, Yakun Ge, Jieyue Li, Xianghui Zeng, and Xiaoxiang Zheng. B-Type Natriuretic Peptide Enhances Mild Hypoxia-Induced Apoptotic Cell Death in Cardiomyocytes. Biological and Pharmaceutical Bulletin (2007) 30(6):1084-90.
  11. Tiannan Wang, Ming Yan, Jieyue Li, and Xiaoxiang Zheng. The role of iNOS-derived NO in the antihypertrophic actions of B-type natriuretic peptide in neonatal rat cardiomyocytes. Molecular and Cellular Biochemistry (2007) 302(1-2): 169-77.
  12. Huijuan Yang, Tiannan Wang, Jieyue Li, Ling Gu, and Xiaoxiang Zheng. Decreasing expression of α 1C calcium L-type channel subunit mRNA in rat ventricular myocytes upon manganese exposure. Journal of Biochemical and Molecular Toxicology (2006) 20(4): 159-66.
  13. Tiannan Wang, Huijuan Yang, Ling Gu, Jieyue Li, and Xiaoxiang Zheng. Advanced Measurement and Quantitative Appraise of Anisodamine on Calcium Triggered in Cardiac Myocyte. Conf Proc IEEE Eng Med Biol Soc. (2005) 7(1): 7710 -7713.
Thesis

PhD's Dissertation for Department of Biomedical Engineering, Automated Learning of Subcellular Location Patterns in Confocal Fluorescence Images from Human Protein Atlas, 2012. Part of it also served as Master's Thesis for Machine Learning Department.

Core Courses

Intermediate Statistics, Machine Learning, Statistical Machine Learning, Bioimage Informatics, Regression Analysis, Algorithms in the real world, Optimization, Probabilistic Graphical Models, Probability Modeling, Multimedia Database and Data Mining

Last updated: 2012/08/07