Publications in Refereed Journals

1. Junfen Yang and Yin Zhang. Local linear convergence of an ADMM-type splitting framework for equality constrained optimization. Journal of the Operations Research Society of China. 2019.

2. Yin Zhang. Convergence of a Class of Stationary Iterative Methods for Saddle Point Problems. Journal of the Operations Research Society of China (2019) 7:195-204. Published online on May 15, 2019.

3. Wenye Li, Jingwei Mao, Yin Zhang, Shuguang Cui. Fast Similarity Search via Optimal Sparse Lifting. Advances in Neural Information Processing Systems 31 (NIPS 2018 Proceeding).

4. Lijun Xu, Bo Yu and Yin Zhang. An Alternating Direction and Projection Algorithm for Structure-enforced Matrix Factorization. Computational Optimization and Applications (2017). Volume 68, Issue 2, pp. 333-362.

5. Zaiwen Wen and Yin Zhang. Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation. SIAM Journal on Matrix Analysis and Applications. Vol. 38-2 (2017), pp. 273-296.

6. Junyu Zhang, Zaiwen Wen and Yin Zhang. Subspace Methods With Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format. Journal of Scientific Computing (First online 2016). doi:10.1007/s10915-016-0255-0. February 2017, Volume 70, Issue 2, pp. 478-499.

7. Zaiwen Wen, Chao Yang, Xin Liu and Yin Zhang. Trace-Penalty Minimization for Large-scale Eigenspace Computation. Journal of Scientific Computing. March 2016, Volume 66, Issue 3, pp. 1175-1203.

8. Xin Liu, Zaiwen Wen and Yin Zhang. An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations. SIAM Journal on Optimization. 25-3 (2015), pp. 1571-1608. http://dx.doi.org/10.1137/140971464.

9. Yuan Shen, Zaiwen Wen, and Yin Zhang. Augmented Lagrangian Alternating Direction Method for Matrix Separation Based on Low-Rank Factorization. Optimization Methods and Software. Vol. 29 (2), pp. 239-263. 2014.

10. Chengbo Li, Wotao Yin, Hong Jiang, and Yin Zhang. An efficient augmented Lagrangian method with applications to total variation minimization. Computational Optimization and Applications. Volume 56, Issue 3, pp. 507-530. 2013.

11. Xin Liu, Zaiwen Wen and Yin Zhang. Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions. SIAM Journal on Scientific Computing. 35-3 (2013), pp. A1641-A1668.

12. Yin Zhang. Theory of Compressive Sensing via L1-Minimization: A Non-RIP Analysis and Extensions. Journal of the Operations Research Society of China. Vol. 1, Issue 1 (2013), pp. 79-105.

13. Chengbo Li, Hong Jiang, Paul Wilford, Yin Zhang and Mike Scheutzow. A new compressive video sensing framework for mobile broadcast. IEEE Transactions on Broadcasting. Vol. 59, No. 1, March 2013, pp. 197 - 205.

14. Wen Zaiwen, Yin Wotao, Liu Xin, Zhang Yin. Introduction to compressive sensing and sparse optimization. Operations Research Transactions (in Chinese). Vol. 16, No. 3, pp. 65-80. 2012.

15. Zaiwen Wen, Wotao Yin, and Yin Zhang. Solving a Low-Rank Factorization Model for Matrix Completion by a Nonlinear Successive Over Relaxation Algorithm. Mathematical Programming Computation. Vol. 4, pp. 333-361. 2012.

16. Yangyang Xu, Wotao Yin, Zaiwen Wen, and Yin Zhang. An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors. Frontiers of Mathematics in China (Springer). 7(2): 365-384. 2012.

17. Chengbo Li, Ting Sun, Kevin Kelly and Yin Zhang. A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing. IEEE Transactions on Image Processing. Vol. 21, No. 3, pp. 1200-1210. March 2012.

18. Hong Jiang, Chengbo Li, Raziel Haimi-Cohen, Paul Wilford and Yin Zhang. Scalable video coding using compressive sensing. Bell Labs Technical Journal (BLTJ). Volume 16, Issue 4 pp. 149-169, March 2012.

19. J. Yang and Y. Zhang. Alternating direction algorithms for L1-problems in compressive sensing. SIAM Journal on Scientific Computing, Vol. 33, No. 1, pp. 250-278, 2011.

20. Z. Wen, W. Yin, Donald Goldfarb and Yin Zhang. A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation. SIAM Journal on Scientific Computing, Volume 32, Issue 4, pp. 1832-1857, 2010.

21. Junfeng Yang, Y. Zhang and Wotao Yin. A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data. IEEE Journal of Selected Topics in Signal Processing, vol. 4, issue 2, pp. 288-297, 2010.

22. Elaine T. Hale, Wotao Yin, and Yin Zhang. Fixed-Point Continuation Applied to Compressed Sensing: Implementation and Numerical Experiments. Journal of Computational Mathematics. Vol.28, No.2, pp. 170-194. 2010.

23. Edward Castillo, Richard Castillo, Yin Zhang, Thomas Guerrero. Compressible Image Registration for Thoracic Computed Tomography Images. Journal of Medical and Biological Engineering, Vol. 29, No 5, 2009.

24. Junfeng Yang, Y. Zhang and Wotao Yin. An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise. SIAM Journal on Scientific Computing. Volume 31, Issue 4, pp. 2842-2865, 2009.

25. Junfeng Yang, Wotao Yin, Y. Zhang and Yilun Wang. A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration. SIAM Journal on Imaging Science. Vol. 2, Issue 2, pp. 569-592, 2009.

26. Elaine T. Hale, Wotao Yin, and Yin Zhang. A Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence. SIAM Journal on Optimization , Vol. 19, Issue 3, pp. 1107-1130, 2008.

27. Yilun Wang, Junfeng Yang, Wotao Yin, and Yin Zhang. A New Alternating Minimization Algorithm for Total Variation Image Reconstruction. SIAM Journal on Imaging Sciences, Vol. 1, Issue 3, pp. 248-272, 2008.

28. Y. Zhang and M. Merritt. Dose-volume-based IMRT fluence optimization: A fast least-squares approach with differentiability. Linear Algebra and its Applications, Vol. 426, pp. 1365-1387, 2008.

29. Zhijun Wu and Y. Zhang. Solving Large Scale Double Digestion Problems for DNA Restriction Mapping by Using Branch and Bound Integer Linear Programming. Lecture Notes on Operations Research 7, pp. 267-279, Dingzhu Du and Xiangsun Zhang, eds., 2007.

30. Elaine T. Hale and Y. Zhang. Case studies for a first-order robust nonlinear programming formulation. J. Optimization Theory and Applications, Vol. 134, No. 1, pp. 27-45, 2007.

31. Y. Zhang. A General Robust-Optimization Formulation for Nonlinear Programming. J. Optimization Theory and Applications, Vol. 132, No. 1, pp. 111-124, 2007.

32. J. Deasy, E. Lee, T. Bortfeld, M. Langer, K. Zakarian, J. Alaly, Y. Zhang, H. Liu, R. Mohan, R. Ahuja, A. Pollack, J. Purdy, R. Rardin. A collaboratory for radiation therapy treatment planning optimization research, Annals of Operations Research. Vol. 148, pp. 55-63(9), 2006.

33. Thomas Guerrero, Kevin Sanders, Edward Castillo, Yin Zhang, Luc Bidaut, Tinsu Pan and Ritsuko Komaki. Dynamic Ventilation Imaging from Four-Dimensional Computed Tomography. Physics in Medicine and Biology, 51: 777-791, 2006.

34. Y. Zhang and M. Merritt. A Geometric Approach to Fluence Map Optimization in IMRT Cancer Treatment Planning. In Multi-scale Optimization and Applications, Edited by W. Hager et al. Springer, 2005.

35. Thomas Guerrero, Kevin Sanders, Josue Noyola-Martinez, Edward Castillo, Yin Zhang, Richard Tapia, Rudy Guerra, Yerko Borghero, Ritsuko Komaki. Quantification of Regional Ventilation from Treatment Planning CT. International Journal of Radiation Oncology, Biology, Physics, 2005 Jul 1;62(3):630-4.

36. Diane Jamrog, George Phillips, Richard Tapia and Yin Zhang. A Global Optimization Method for the Molecular Replacement Problem in X-ray Crystallography. Mathematical Programming, Series B, published online, May 3rd, 2005.

37. M. Merritt and Y. Zhang. An Interior-Point Gradient Method for Large-Scale Totally Nonnegative Least Squares Problems. J. Optimization Theory and Applications, Vol. 126. No. 1, pp. 191-202, July, 2005.

38. Diane Jamrog, Yin Zhang and George Phillips. On the Equivalence Between a Commonly Used Correlation Coefficient and a Least Squares Function. ACTA Crystallographica, A60: 214-219. 2004.

39. Cristina Villalobos, Richard Tapia and Yin Zhang. Sphere of Convergence of Newton's Method on Two Equivalent Systems from Nonlinear Programming. Journal of Optimization Theory and Applications, Vol. 121, No.3, June, 2004.

40. Liliana Borcea, Genetha Gray, Yin Zhang. Variationally Constrained Numerical Solution of Electrical Impedance Tomography. Inverse Problems, volume 19, issue 5, pages 1159 - 1184, 2003.

41. Diane Jamrog, Yin Zhang and George Phillips. SOMoRe: a mutli-dimensional search and optimization approach to molecular replacement. ACTA Crystallographica D, 59:304-314, 2003.

42. Yin Zhang and Liyan Gao. On Numerical Solution of the Maximum Volume Ellipsoid Problem. SIAM Journal on Optimization, Vol.14, No.1, pp. 53-76, 2003.

43. Sam Burer, Renato Monteiro and Yin Zhang. A Computational Study of a Gradient-Based Log-Barrier Algorithm for a Class of Large-Scale SDPs. Mathematical Programming Series B, 95:359-379, 2003.

44. Sam Burer, Renato Monteiro and Yin Zhang. Maximum Stable Set Formulations and Heuristics Based on Continuous Optimization. Mathematical Programming Series A, 94:137-166, 2002.

45. Zhijun Wu, George Phillips, Richard Tapia and Yin Zhang. A Fast Newton's Method for Entropy Maximization in Phase Determination. SIAM Review, Vol. 43:623-642, 2002.

46. Sam Burer, Renato Monteiro and Yin Zhang. Rank-Two Relaxation Heuristics for Max-Cut and Other Binary Quadratic Programs. SIAM Journal on Optimization, Vol. 12:503-521, 2002.

47. Diane Jamrog, Richard Tapia and Yin Zhang. Comparison of two sets of first-order conditions as bases of interior-point Newton methods for optimization with simple bounds. Journal of Optimization Theory and Applications, Vol. 113:21-40, 2002.

48. Sam Burer, Renato Monteiro and Yin Zhang. Solving a class of Semidefinite Programs via Nonlinear Programming. Mathematical Programming A, Vol.93:97-122, 2002.

49. Cristina Villalobos, Richard Tapia and Yin Zhang. The Local Behavior of Newton's Method on Two Equivalent Systems from Linear Programming. Journal of Optimization Theory and Applications, Vol. 112:239-263, 2002.

50. Sam Burer, Renato Monteiro and Yin Zhang. Interior-Point Algorithms for Semidefinite Programming Based on a Nonlinear Formulation. Computational Optimization and Applications, Vol. 22:49-79, 2002.

51. L. Velazquez, G. Phillips, R. Tapia and Y. Zhang. Selective Search for Global Optimization of Zero or Small Residual Least-Squares Problems: A Numerical Study. Computational Optimization and Applications, Vol. 20:299-315, 2001.

52. Zhijun Wu, George Phillips, Richard Tapia and Yin Zhang. A Fast Newton's Method for Entropy Maximization in Statistical Phase Estimation. ACTA Crystallographica A. Vol. 57 (Part 6):681--685, 2001.

53. Y. Zhang, R. Tapia and L. Velazquez. On Convergence of Minimization methods: Attraction, Repulsion and Selection. Journal of Optimization Theory and Applications. Vol. 107:529-546, 2000.

54. Y. Zhang. User's Guide to LIPSOL - Linear-programming Interior Point Solvers. Special Issue of Optimization Methods and Software on Interior Point Methods (with software in compact disk), pp. 385-396, 1999.

55. V. Baryamureeba, T. Steihaug, and Y. Zhang. Application of a Class of Preconditioners to Large Scale Linear Programming Problems. Lecture Notes in Computer Science 1685, pp.1044-1048. P. Amestoy, P. Berger, M. Dayde, I. Duff, V. Fraysse, L. Giraud, D. Ruiz (Eds.). Springer. 1999.

56. Y. Zhang. Solving large-scale linear programs by interior-point methods under the MATLAB Environment. Optimization Methods and Software, 10(1998): 1-31.

57. Renato Monteiro and Y. Zhang. A unified analysis for a class of path-following primal-dual interior-point algorithms for semidefinite programming. Mathematical Programming 81 (1998) 281-299.

58. Y. Zhang. On extending some primal-dual interior-point algorithms from linear programming to semidefinite programming. SIAM Journal on Optimization 8:365-386, 1998.

59. A. El-Bakry, R. A. Tapia and Y. Zhang. On the convergence rate of Newton interior-point methods in the absence of strict complementarity. Computational Optimization and Applications 6:157-167, 1996.

60. A. El-Bakry, R. A. Tapia, T. Tsuchiya and Y. Zhang. On the formulation of the primal-dual Newton interior-point method for nonlinear programming J. Optimization Theory and Applications Vol.89:507-541, 1996.

61. Stephen Wright and Y. Zhang. A superquadratic infeasible-interior-point method for linear complementarity problems. Mathematical Programming 73:269-289, 1996.

62. D. Zhang and Y. Zhang. A Mehrotra-type predictor-corrector algorithm with polynomiality and Q-subquadratic convergence. Annals of Operations Research (special issue on Interior-Point Methods), vol.62:131-150, 1996.

63. R. Tapia, Y. Zhang, M. Saltzman and A. Weiser. The Mehrotra predictor-corrector interior point method as a composite Newton method. SIAM Journal on Optimization Vol.6, No. 1, 47-56, 1996.

64. Y. Zhang and D. Zhang. On polynomiality of the Mehrotra-type predictor-corrector interior-point algorithms. Mathematical Programming, Vol.68:303-318, 1995.

65. R. Tapia, Y. Zhang and Y. Ye. On the convergence of the iteration sequence in primal-dual interior-point methods. Mathematical Programming, Vol.68:141-154, 1995.

66. Y. Zhang and A. El-Bakry. Modified predictor-corrector algorithm for locating weighted centers in linear programming. J. Optimization Theory and Applications, Vol.80, No.2, 319-331, Feb. 1994.

67. Y. Zhang and D. Zhang. Superlinear convergence of infeasible interior-point methods for linear programming. Mathematical Programming, Vol.66:361-377, 1994.

68. Y. Zhang. On the convergence of a class of infeasible interior-point methods for the horizontal linear complementarity problem. SIAM Journal on Optimization, Vol.4, No.1, 208-227, 1994.

69. A. Elbakry and R. Tapia and Y. Zhang. A study on the use of indicators in identifying zero variables for interior point methods. SIAM Review, Vol. 36, No.1, 45-72, 1994.

70. Y. Ye, O. Güler and R. Tapia and Y. Zhang. A quadratically convergent $O(\sqrt{n}L)$-iteration algorithm for linear programming. Mathematical Programming Vol.59:151-162, 1993.

71. Y. Zhang. A primal-dual interior point approach for computing the $\ell_1$ and $\ell_{\infty}$ solutions of overdetermined linear systems. J. Optimization Theory and Applications, Vol.77, No.2, 323-341, 1993.

72. Y. Zhang and R. Tapia. A superlinearly convergent polynomial primal-dual interior-point algorithm for linear programming. SIAM J. Optimization 3:118-133, 1993.

73. Y. Zhang, R. Tapia and F. Potra. On the superlinear convergence of interior point algorithms for a general class of problems. SIAM Journal on Optimization, 3:413-422, 1993.

74. Y. Zhang and R. Tapia. Superlinear and quadratic convergence of primal-dual interior point algorithms for linear programming revisited. J. Optimization Theory and Applications, Vol.73, No.2, 229-242, 1992.

75. Y. Zhang, R. Tapia and J. E. Dennis. On the superlinear and quadratic convergence of primal-dual interior point linear programming algorithms. SIAM Journal on Optimization, 2:304-324, 1992.

76. R. Byrd and R. Tapia and Y. Zhang. An SQP structured augmented Lagrangian BFGS secant algorithm for constrained optimization. SIAM J. on Optimization, 2:210-242, 1992.

77. Y. Zhang. Computing a Celis-Dennis-Tapia trust region step for equality constrained optimization. Mathematical Programming, 55:109-124, 1992.

78. R. Tapia and Y. Zhang. An optimal-basis identification technique for interior-point linear programming algorithms. Linear Algebra and its Applications, 152:343-363, 1991.

79. R. Tapia and Y. Zhang. Cubically convergent method for locating a nearby vertex in linear programming. J. Optimization Theory and Applications, vol. 67, No. 2, 217-225, 1990.

80. J. L. Stephenson, Y. Zhang and R. Tewarson. Electrolyte, urea, and water transport in a 2-nephron central core model of the renal medulla. American Journal OF Physiology, 257 (3): F399-F413, Part 2, Sep 1989.

81. Y. Zhang and R. P. Tewarson. Quasi-Newton algorithms with updates from the pre-convex part of Broyden's family, IMA J. Numerical Analysis, 8, 487-509, 1988.

82. Y. Zhang and R. P. Tewarson. A new quasi-Newton algorithm. Applied Mathematics Letters, Vol.0, No. 1, 5-8, 1987.

83. J. L. Stephenson, Y. Zhang, A. Eftekhari and R. Tewarson. Electrolyte transport in a central core model of the renal medulla. Am. J. Physiol. 253, (Renal Fluid Electrolyte Physiol. 22), F982-F997, 1987.

84. Y. Zhang and R. P. Tewarson. Least change updates to Cholesky factors subject to the nonlinear quasi-Newton condition, IMA J. Numerical Analysis, 7, 509-521, 1987.

85. R. P. Tewarson and Y. Zhang. Sparse quasi-Newton LDU updates. Int. J. Num. Meth. Eng., Vol. 24, 1093-1110, 1987.

86. Z. H. Cao and Y. Zhang. The contraction number of a multigrid method with mesh ratio two for solving model problem. Linear Algebra and its Applications, 79:23-32, 1986.

87. R. P. Tewarson and Y. Zhang. Solution of two-point boundary value problems using splines. Int. J. Numer. Meth. Eng., 23:707-710, 1986.

88. R. P. Tewarson, J. L. Stephenson, M. Garcia and Y. Zhang. On the solution of equations for renal counterflow models. Comput. Biol. Med., 15:287-295, 1985.