Jiming Peng

According to our database, Jiming Peng authored at least 48 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Preface: special issue of MOA 2020.

Ya-Feng Liu, Zi Xu, Pavlo A. Krokhmal, Jiming Peng

J. Glob. Optim., November, 2023

2021

On some extended mixed integer optimization models of the Eisenberg-Noe model in systemic risk management.

Zhi-Long Dong, Jiming Peng, Fengmin Xu, Yu-Hong Dai

Int. Trans. Oper. Res., 2021

Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties.

Hezhi Luo, Xiaodong Ding, Jiming Peng, Rujun Jiang, Duan Li

INFORMS J. Comput., 2021

2020

Preface: special issue of MOA 2018.

Ya-Feng Liu, Fengmin Xu, Neng Fan, Jiming Peng

J. Glob. Optim., 2020

2019

New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation.

Hezhi Luo, Xiaodi Bai, Gino J. Lim, Jiming Peng

Math. Program. Comput., 2019

Vulnerability Analysis of the Financial Network.

Aein Khabazian, Jiming Peng

Manag. Sci., 2019

Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods.

Hezhi Luo, Xiaodi Bai, Jiming Peng

J. Optim. Theory Appl., 2019

2018

Preface: Special issue of MOA 2016.

Thorsten Koch, Ya-Feng Liu, Jiming Peng

J. Glob. Optim., 2018

Efficiently solving total least squares with Tikhonov identical regularization.

Mei-Jia Yang, Yong Xia, Jiulin Wang, Jiming Peng

Comput. Optim. Appl., 2018

A Biresolution Spectral Framework for Product Quantization.

Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A Lagrangian search method for the P-median problem.

Joshua Q. Hale, Enlu Zhou, Jiming Peng

J. Glob. Optim., 2017

2016

Network Flow Formulations for Learning Binary Hashing.

Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

A nonlinear semidefinite optimization relaxation for the worst-case linear optimization under uncertainties.

Jiming Peng, Tao Zhu

Math. Program., 2015

New Analysis on Sparse Solutions to Random Standard Quadratic Optimization Problems and Extensions.

Xin Chen, Jiming Peng

Math. Oper. Res., 2015

Optimal deleveraging with nonlinear temporary price impact.

Jingnan Chen, Liming Feng, Jiming Peng

Eur. J. Oper. Res., 2015

Semi-definite programming relaxation of quadratic assignment problems based on nonredundant matrix splitting.

Jiming Peng, Tao Zhu, Hezhi Luo, Kim-Chuan Toh

Comput. Optim. Appl., 2015

2014

Analytical Results and Efficient Algorithm for Optimal Portfolio Deleveraging with Market Impact.

Jingnan Chen, Liming Feng, Jiming Peng, Yinyu Ye

Oper. Res., 2014

2013

Sparse solutions to random standard quadratic optimization problems.

Xin Chen, Jiming Peng, Shuzhong Zhang

Math. Program., 2013

2012

An efficient algorithm for maximal margin clustering.

Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu

J. Glob. Optim., 2012

Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging.

Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C. Johnson

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

2011

Scale invariant cosegmentation for image groups.

Lopamudra Mukherjee, Vikas Singh, Jiming Peng

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Estimating Bounds for Quadratic Assignment Problems Associated with Hamming and Manhattan Distance Matrices Based on Semidefinite Programming.

Hans D. Mittelmann, Jiming Peng

SIAM J. Optim., 2010

A new relaxation framework for quadratic assignment problems based on matrix splitting.

Jiming Peng, Hans D. Mittelmann, Xiaoxue Li

Math. Program. Comput., 2010

Ensemble clustering using semidefinite programming with applications.

Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

Mach. Learn., 2010

Learning kernels for variants of normalized cuts: Convex relaxations and applications.

Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Optimization-Based Dynamic Sensor Management for Distributed Multitarget Tracking.

Ratnasingham Tharmarasa, Thiagalingam Kirubarajan, Jiming Peng, Thomas Lang

IEEE Trans. Syst. Man Cybern. Part C, 2009

Generalized median graphs and applications.

Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney

J. Comb. Optim., 2009

Self-adaptive support vector machines: modelling and experiments.

Peng Du, Jiming Peng, Tamás Terlaky

Comput. Manag. Sci., 2009

A confidence voting process for ranking problems based on support vector machines.

Tianshi Jiao, Jiming Peng, Tamás Terlaky

Ann. Oper. Res., 2009

2008

PREFACESpecial section on mathematical programming in data mining and machine learning.

Katya Scheinberg, Jiming Peng

Optim. Methods Softw., 2008

2007

On Mehrotra-Type Predictor-Corrector Algorithms.

Maziar Salahi, Jiming Peng, Tamás Terlaky

SIAM J. Optim., 2007

Approximating K-means-type Clustering via Semidefinite Programming.

Jiming Peng, Yu Wei

SIAM J. Optim., 2007

Exact Penalty Functions for Constrained Minimization Problems via Regularized Gap Function for Variational Inequalities.

Wu Li, Jiming Peng

J. Glob. Optim., 2007

Ensemble Clustering using Semidefinite Programming.

Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Generalized Median Graphs: Theory and Applications.

Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Refining Spherical K-Means for Clustering Documents.

Jiming Peng, Jiaping Zhu

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

A Predictor-Corrector Algorithm for Linear Optimization Based on a Specific Self-Regular Proximity Function.

Jiming Peng, Tamás Terlaky, Yunbin Zhao

SIAM J. Optim., 2005

A Cutting Algorithm for the Minimum Sum-of-Squared Error Clustering.

Yu Xia, Jiming Peng

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

A Continuation Method for the Linear Second-Order Cone Complementarity Problem.

Yu Xia, Jiming Peng

Proceedings of the Computational Science and Its Applications, 2005

On Approximate Balanced Bi-clustering.

Guoxuan Ma, Jiming Peng, Yu Wei

Proceedings of the Computing and Combinatorics, 11th Annual International Conference, 2005

2002

Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities.

Jiming Peng, Cornelis Roos, Tamás Terlaky

SIAM J. Optim., 2002

A dynamic large-update primal-dual interior-point method for linear optimization.

Jiming Peng, Tamás Terlaky

Optim. Methods Softw., 2002

Self-regular functions and new search directions for linear and semidefinite optimization.

Jiming Peng, Cornelis Roos, Tamás Terlaky

Math. Program., 2002

A new class of polynomial primal-dual methods for linear and semidefinite optimization.

Jiming Peng, Cornelis Roos, Tamás Terlaky

Eur. J. Oper. Res., 2002

Self-regularity - a new paradigm for primal-dual interior-point algorithms.

Jiming Peng, Cornelis Roos, Tamás Terlaky

Princeton series in applied mathematics, Princeton University Press, ISBN: 978-0-691-09193-8, 2002

2001

A Scaled Gauss--Newton Primal-Dual Search Direction for Semidefinite Optimization.

Etienne de Klerk, Jiming Peng, Cees Roos, Tamás Terlaky

SIAM J. Optim., 2001

2000

A Strongly Polynomial Rounding Procedure Yielding a Maximally Complementary Solution for P_*(kappa) Linear Complementarity Problems.

Tibor Illés, Jiming Peng, Cornelis Roos, Tamás Terlaky

SIAM J. Optim., 2000

New Complexity Analysis of the Primal - Dual Newton Method for Linear Optimization.

Jiming Peng, Cees Roos, Tamás Terlaky

Ann. Oper. Res., 2000