Publications

Articles published or accepted in refereed journals Google Scholar

  1. E. Adeli, X. Li, D. Kwon, Y. Zhang and Kilian Pohl, Logistic regression confined by cardinality-constrained sample and feature selection, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.
  2. S. H. Park, Y. Zhang, D. Kwon, Q. Zhao, N. M. Zahr, A. Pfefferbaum, E. V. Sullivan and K. M. Pohl, Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals, Scientific reports, 8:8297, 2018.
  3. G. Chen, B. Dong, Y. Zhang, W. Lin, D. Shen and P. T. Yap, Angular upsampling in infant diffusion MRI using neighborhood matching in x-q space , 12:57, 2018.
  4. Z. Lu, Y. Zhang, and J. Lu, Lp regularized low-rank approximation via iterative reweighted singular value minimization, Journal of Computational Optimization and Applications, 68(3):619--642, 2017.
  5. E. Bernardis, Y. Zhang, B. Desjardins, E. Konukoglu, Y. Ou, H. S. Javitz, D. Metaxas, and K. M. Pohl, eCurves: A temporal shape encoding, accepted by IEEE Transactions on Biomedical Engineering, 2017.
  6. Y. Zhang, D. Kwon, P. Esmaeili-Firidouni, A. Pfefferbaum, E. V. Sullivan, H. Javitz, V. Valcour and K. M. Pohl, Extracting Patterns of Morphometry Distinguishing HIV Associated Neurodegeneration from Mild Cognitive Impairment via Group Cardinality Constrained Classification, accepted by Human Brain Mapping, 37(12):4523--4538, 2016.
  7. P. T. Yap, Y. Zhang and D. Shen, Diffusion Signal Compartmentalization via L0 Sparse-Group Estimation, accepted by IEEE Transactions on Image Processing, 25(9): 4340--4353, 2016.
  8. Y. Zhang, D. Kwon and K. M. Pohl, Computing group cardinality constraint solutions for logistic regression problems, Medical Image Analysis, 35:58–69, 2016.
  9. K. M. Pohl, E. V. Sullivan, T. Rohlfing, W. Chu, D. Kwon, B. N. Nichols, Y. Zhang, S. A. Brown, S. F. Tapert, K. Cummins, W. K. Thompson, T. Brumback, I. M. Colrain, F. C. Baker, D. Prouty, M. D. De Bellis, J. T. Voyvodic, D. B. Clark, C. Schirda, B. J. Nagel, A. Pfefferbaum, Harmonizing DTI Measurements across Scanners to Examine the Development of White Matter Microstructure in 803 Adolescents of the NCANDA Study, NeuroImage, 130:194–213, 2016.
  10. Z. Lu, Y. Zhang and X. Li, Penalty decomposition methods for rank minimization, Optimization Methods and Software, 30(3):431–558, 2014. PDF
  11. Z. Lu and Y. Zhang, Sparse approximation via penalty decomposition methods, SIAM Journal on Optimization, 23(4):2448-2478, 2013. PDF
  12. B. Dong and Y. Zhang, An efficient algorithm for l0 minimization in wavelet frame based image restoration, Journal of Scientific Computing, 54(2–3): 350–368, 2013. PDF
  13. Y. Zhang, B. Dong and Z. Lu, l0 minimization of wavelet frame based image restoration, Mathematics of Computation, 82: 995–1015, 2013. PDF
  14. Z. Lu, T. K. Pong and Y. Zhang, An alternating direction method for finding Dantzig selectors, Computational Statistics & Data Analysis, 56(12): 4037–4946, 2012. PDF
  15. Z. Lu and Y. Zhang, An augmented Lagrangian approach for sparse principal component analysis, Mathematical Programming, 135: 149–193, 2012. PDF

Other refereed contributions

  1. G. Chen, B. Dong, Y. Zhang, D. Shen, and P. T. Yap, q-Space Upsampling Using x-q Space Regularization, Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), 2017.
  2. G. Chen, B. Dong, Y. Zhang, D. Shen, and P. T. Yap, Neighborhood Matching of Unstructured Manifold-Distributed Data with Application to Denoising in Diffusion MRI, Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), 2017.
  3. Y. Zhang, S. H. Park and K. Pohl, Joint data harmonization and group cardinality constrained classification, Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), 2016.
  4. P. T. Yap, B. Dong, Y. Zhang and D. Shen, Tight graph framelets for sparse diffusion MRI q-space representation, Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), 2016.
  5. Y. Zhang and K. Pohl, Solving logistic regression with group cardinality constraints for time series analysis, Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), 2015. Link
  6. P. T. Yap, Y. Zhang and D. Shen, Brain tissue segmentation based on diffusion MRI using L0 sparse-group representation classification, Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), 2015.
  7. P. T. Yap, Y. Zhang and D. Shen, Diffusion compartmentalization using response function groups with cardinality penalization, Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), 2015.
  8. P. T. Yap, Y. Zhang and D. Shen, Iterative subspace screening for rapid sparse estimation of micro-structural properties, Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), 2015.
  9. Z. Lu and Y. Zhang, Penalty decomposition methods for rank minimization, Proceedings of Neural Information Processing Systems (NIPS), 46–54, 2011. Link