SELECTED JOURNALS

  • J. Duan, C. Soussen, D. Brie, J. Idier, Y.-P. Wang, and M. Wan, “A parallelizable framework for segmenting piecewise signals”, IEEE Access, vol. 7, no. 1, pp. 13217–13229, 2019. 
  • J. Duan, J. Idier, Y.-P. Wang, and M. Wan, “A joint least squares and least absolute deviation model”, IEEE Signal Processing Letters, vol. 26, no. 4, pp. 543–547, 2019.
  • J. Duan, H. Zhong, B. Jing, S. Zhang, and M. Wan, “Increasing axial resolution of ultrasonic imaging with a joint sparse representation model”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control,  vol. 63, no. 12, pp. 2045–2056, 2016.
  • J. Duan, C. Soussen, D. Brie, J. Idier, M. Wan, and Y.-P. Wang, “Generalized lasso with under-determined regularization matrices”, Signal Processing, vol. 127, no. 2016, pp. 239–246, 2016.
  • J. Duan, M. Wan, H.-W. Deng, and Y.-P. Wang, “A sparse model based detection of copy number variations from exome sequencing data”, IEEE Transactions on Biomedical Engineering, vol. 68, no. 3, pp. 496–505, 2016.
  • C. Soussen, J. Idier, J. Duan, and D. Brie, “Homotopy based algorithms for ?0-regularized least-squares”, IEEE Transactions on Signal Processing, vol. 63, no. 13, pp. 3301–3316, 2015.
  • H. Cao, J. Duan, D. Lin, Y. Y. Shugart, V. Calhoun, and Y.-P. Wang, “Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs”, NeuroImage, vol. 102, pp. 220–228, 2014.
  • J. Duan, H.-W. Deng, and Y.-P. Wang, “Common copy number variation detection from multiple sequenced samples”, IEEE Transactions on Biomedical Engineering, vol. 61, no. 3, pp. 928–937, 2014.
  • H. Cao, J. Duan, D. Lin, V. Calhoun, and Y.-P. Wang, “Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection method”, BMC Medical Genomics, vol. 6, no. S2, pp. 1–8, 2013.
  • J. Duan, J.-G. Zhang, H.-W. Deng, and Y.-P. Wang, “CNV-TV: A robust method to discover copy number variation from short sequencing reads”, BMC Bioinformatics, vol. 14, no. 150, pp. 1–12, 2013. Featured by Genetic Engineering & Biotechnology News
  • J. Duan, J.-G. Zhang, H.-W. Deng, and Y.-P. Wang, “Comparative studies of copy number variation detection methods for next generation sequencing technologies”, Plos One, vol. 8, no. 3, pp. e59128, 2013. Featured by Biocompare
  • J. Duan, C. Soussen, D. Brie, J. Idier, and Y.-P. Wang, “On LARS/homotopy equivalence conditions for over-determined LASSO”, IEEE Signal Processing Letters, vol. 19, no. 12, pp. 894–897, 2012.
  • P. Polyakov, C. Soussen, J. Duan, J. Duval, D. Brie, and G. Francius, “Automated force volume image processing for biological samples.”, PLoS One, vol. 6, no. 4, pp. e18887, 2011.
  • C. Soussen, J. Idier, D. Brie, and J. Duan, “From Bernoulli-Gaussian deconvolution to sparse signal restoration”, IEEE Transactions on Signal Processing, vol. 59, no. 10, pp. 4572–4584, 2011.

 

CHAPTERS

  •  J. Duan, X. Fu, J.-G. Zhang, Y.-P. Wang, and H.-W. Deng, “The next generation sequencing and applications in clinical research”, in Application of Clinical Bioinformatics, X. Wang, C. Baumgartner, D. Shields, H.-W. Deng, and J. S. Beckmann, Eds., chapter 4, pp. 83–113. Springer, 2016.
  • 段君博,“基于稀疏表达的超声成像及GPU并行计算”,《计算生物医学超声学》第九章,科学出版社,2019.