According to our database1, Jiming Peng authored at least 45 papers between 2000 and 2020.
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New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation.
Math. Program. Comput., 2019
Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods.
J. Optim. Theory Appl., 2019
Comput. Optim. Appl., 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the Computer Vision - ECCV 2016, 2016
A nonlinear semidefinite optimization relaxation for the worst-case linear optimization under uncertainties.
Math. Program., 2015
New Analysis on Sparse Solutions to Random Standard Quadratic Optimization Problems and Extensions.
Math. Oper. Res., 2015
Semi-definite programming relaxation of quadratic assignment problems based on nonredundant matrix splitting.
Comput. Optim. Appl., 2015
Analytical Results and Efficient Algorithm for Optimal Portfolio Deleveraging with Market Impact.
Oper. Res., 2014
Math. Program., 2013
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
Estimating Bounds for Quadratic Assignment Problems Associated with Hamming and Manhattan Distance Matrices Based on Semidefinite Programming.
SIAM J. Optim., 2010
A new relaxation framework for quadratic assignment problems based on matrix splitting.
Math. Program. Comput., 2010
Mach. Learn., 2010
Learning kernels for variants of normalized cuts: Convex relaxations and applications.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
IEEE Trans. Syst. Man Cybern. Part C, 2009
Comput. Manag. Sci., 2009
Ann. Oper. Res., 2009
PREFACESpecial section on mathematical programming in data mining and machine learning.
Optim. Methods Softw., 2008
SIAM J. Optim., 2007
Exact Penalty Functions for Constrained Minimization Problems via Regularized Gap Function for Variational Inequalities.
J. Glob. Optim., 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
Proceedings of the International Joint Conference on Neural Networks, 2006
A Predictor-Corrector Algorithm for Linear Optimization Based on a Specific Self-Regular Proximity Function.
SIAM J. Optim., 2005
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Proceedings of the Computational Science and Its Applications, 2005
Proceedings of the Computing and Combinatorics, 11th Annual International Conference, 2005
Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities.
SIAM J. Optim., 2002
Optim. Methods Softw., 2002
Self-regular functions and new search directions for linear and semidefinite optimization.
Math. Program., 2002
A new class of polynomial primal-dual methods for linear and semidefinite optimization.
Eur. J. Oper. Res., 2002
Self-regularity - a new paradigm for primal-dual interior-point algorithms.
Princeton series in applied mathematics, Princeton University Press, ISBN: 978-0-691-09193-8, 2002
SIAM J. Optim., 2001
A Strongly Polynomial Rounding Procedure Yielding a Maximally Complementary Solution for P<sub>*(kappa)</sub> Linear Complementarity Problems.
SIAM J. Optim., 2000
Ann. Oper. Res., 2000