Jiming Peng

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 17

Top Topics

Quadratic Programming

Top Venues

J. Glob. Optim.

Comput. Optim. Appl.

J. Optim. Theory Appl.

Publications

Ya-Feng Liu, Zi Xu, Pavlo A. Krokhmal, Jiming Peng
Preface: special issue of MOA 2020. J. Glob. Optim. 87 (2) (2023)
Zhi-Long Dong, Jiming Peng, Fengmin Xu, Yu-Hong Dai
On some extended mixed integer optimization models of the Eisenberg-Noe model in systemic risk management. Int. Trans. Oper. Res. 28 (6) (2021)
Weimin Yuan, Jiming Peng
Translation Engineering: Translation in the Age of Information Technology. ICIMTECH (2021)
Hezhi Luo, Xiaodong Ding, Jiming Peng, Rujun Jiang, Duan Li
Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties. INFORMS J. Comput. 33 (1) (2021)
Ya-Feng Liu, Fengmin Xu, Neng Fan, Jiming Peng
Preface: special issue of MOA 2018. J. Glob. Optim. 76 (4) (2020)
Aein Khabazian, Jiming Peng
Vulnerability Analysis of the Financial Network. Manag. Sci. 65 (7) (2019)
Hezhi Luo, Xiaodi Bai, Gino Lim, Jiming Peng
New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation. Math. Program. Comput. 11 (1) (2019)
Hezhi Luo, Xiaodi Bai, Jiming Peng
Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods. J. Optim. Theory Appl. 180 (3) (2019)
Mei-Jia Yang, Yong Xia, Jiulin Wang, Jiming Peng
Efficiently solving total least squares with Tikhonov identical regularization. Comput. Optim. Appl. 70 (2) (2018)
Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh
A Biresolution Spectral Framework for Product Quantization. CVPR (2018)
Thorsten Koch, Ya-Feng Liu, Jiming Peng
Preface: Special issue of MOA 2016. J. Glob. Optim. 70 (1) (2018)
Joshua Q. Hale, Enlu Zhou, Jiming Peng
A Lagrangian search method for the P-median problem. J. Glob. Optim. 69 (1) (2017)
Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh
Network Flow Formulations for Learning Binary Hashing. ECCV (5) (2016)
Jiming Peng, Tao Zhu, Hezhi Luo, Kim-Chuan Toh
Semi-definite programming relaxation of quadratic assignment problems based on nonredundant matrix splitting. Comput. Optim. Appl. 60 (1) (2015)
Xin Chen, Jiming Peng
New Analysis on Sparse Solutions to Random Standard Quadratic Optimization Problems and Extensions. Math. Oper. Res. 40 (3) (2015)
Jingnan Chen, Liming Feng, Jiming Peng
Optimal deleveraging with nonlinear temporary price impact. Eur. J. Oper. Res. 244 (1) (2015)
Jiming Peng, Tao Zhu
A nonlinear semidefinite optimization relaxation for the worst-case linear optimization under uncertainties. Math. Program. 152 (1-2) (2015)
Jingnan Chen, Liming Feng, Jiming Peng, Yinyu Ye
Analytical Results and Efficient Algorithm for Optimal Portfolio Deleveraging with Market Impact. Oper. Res. 62 (1) (2014)
Xin Chen, Jiming Peng, Shuzhong Zhang
Sparse solutions to random standard quadratic optimization problems. Math. Program. 141 (1-2) (2013)
Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C. Johnson
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. NIPS (2012)
Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
An efficient algorithm for maximal margin clustering. J. Glob. Optim. 52 (1) (2012)
Lopamudra Mukherjee, Vikas Singh, Jiming Peng
Scale invariant cosegmentation for image groups. CVPR (2011)
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs
Learning kernels for variants of normalized cuts: Convex relaxations and applications. CVPR (2010)
Jiming Peng, Hans D. Mittelmann, Xiaoxue Li
A new relaxation framework for quadratic assignment problems based on matrix splitting. Math. Program. Comput. 2 (1) (2010)
Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
Ensemble clustering using semidefinite programming with applications. Mach. Learn. 79 (1-2) (2010)
Hans D. Mittelmann, Jiming Peng
Estimating Bounds for Quadratic Assignment Problems Associated with Hamming and Manhattan Distance Matrices Based on Semidefinite Programming. SIAM J. Optim. 20 (6) (2010)
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
Generalized median graphs and applications. J. Comb. Optim. 17 (1) (2009)
Ratnasingham Tharmarasa, Thiagalingam Kirubarajan, Jiming Peng, Thomas Lang
Optimization-Based Dynamic Sensor Management for Distributed Multitarget Tracking. IEEE Trans. Syst. Man Cybern. Part C 39 (5) (2009)
Peng Du, Jiming Peng, Tamás Terlaky
Self-adaptive support vector machines: modelling and experiments. Comput. Manag. Sci. 6 (1) (2009)
Tianshi Jiao, Jiming Peng, Tamás Terlaky
A confidence voting process for ranking problems based on support vector machines. Ann. Oper. Res. 166 (1) (2009)
Katya Scheinberg, Jiming Peng
PREFACESpecial section on mathematical programming in data mining and machine learning. Optim. Methods Softw. 23 (4) (2008)
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
Generalized Median Graphs: Theory and Applications. ICCV (2007)
Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
Ensemble Clustering using Semidefinite Programming. NIPS (2007)
Jiming Peng, Yu Wei
Approximating K-means-type Clustering via Semidefinite Programming. SIAM J. Optim. 18 (1) (2007)
Wu Li, Jiming Peng
Exact Penalty Functions for Constrained Minimization Problems via Regularized Gap Function for Variational Inequalities. J. Glob. Optim. 37 (1) (2007)
Maziar Salahi, Jiming Peng, Tamás Terlaky
On Mehrotra-Type Predictor-Corrector Algorithms. SIAM J. Optim. 18 (4) (2007)
Jiming Peng, Jiaping Zhu
Refining Spherical K-Means for Clustering Documents. IJCNN (2006)
Guoxuan Ma, Jiming Peng, Yu Wei
On Approximate Balanced Bi-clustering. COCOON (2005)
Yu Xia, Jiming Peng
A Continuation Method for the Linear Second-Order Cone Complementarity Problem. ICCSA (4) (2005)
Yu Xia, Jiming Peng
A Cutting Algorithm for the Minimum Sum-of-Squared Error Clustering. SDM (2005)
Jiming Peng, Tamás Terlaky, Yunbin Zhao
A Predictor-Corrector Algorithm for Linear Optimization Based on a Specific Self-Regular Proximity Function. SIAM J. Optim. 15 (4) (2005)
Jiming Peng, Cornelis Roos, Tamás Terlaky
A new class of polynomial primal-dual methods for linear and semidefinite optimization. Eur. J. Oper. Res. 143 (2) (2002)
Jiming Peng, Cornelis Roos, Tamás Terlaky
Self-regular functions and new search directions for linear and semidefinite optimization. Math. Program. 93 (1) (2002)
Jiming Peng, Cornelis Roos, Tamás Terlaky
Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities. SIAM J. Optim. 13 (1) (2002)
Jiming Peng, Tamás Terlaky
A dynamic large-update primal-dual interior-point method for linear optimization. Optim. Methods Softw. 17 (6) (2002)
Etienne de Klerk, Jiming Peng, Cees Roos, Tamás Terlaky
A Scaled Gauss--Newton Primal-Dual Search Direction for Semidefinite Optimization. SIAM J. Optim. 11 (4) (2001)
Tibor Illés, Jiming Peng, Cornelis Roos, Tamás Terlaky
Linear Complementarity Problems. SIAM J. Optim. 11 (2) (2000)
Jiming Peng, Cees Roos, Tamás Terlaky
New Complexity Analysis of the Primal - Dual Newton Method for Linear Optimization. Ann. Oper. Res. 99 (1-4) (2000)