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2020 – today
- 2023
[j36]Ya-Feng Liu, Zi Xu, Pavlo A. Krokhmal, Jiming Peng:
Preface: special issue of MOA 2020. J. Glob. Optim. 87(2): 325-327 (2023)- 2021
- [j35]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): 180-197 (2021) - [j34]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): 3014-3037 (2021) - 2020
- [j33]Ya-Feng Liu, Fengmin Xu, Neng Fan, Jiming Peng:
Preface: special issue of MOA 2018. J. Glob. Optim. 76(4): 661-663 (2020)
2010 – 2019
- 2019
- [j32]Hezhi Luo, Xiaodi Bai, Jiming Peng:
Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods. J. Optim. Theory Appl. 180(3): 964-992 (2019) - [j31]Aein Khabazian, Jiming Peng:
Vulnerability Analysis of the Financial Network. Manag. Sci. 65(7): 3302-3321 (2019) - [j30]Hezhi Luo, Xiaodi Bai, Gino J. 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): 119-171 (2019) - 2018
- [j29]Mei-Jia Yang, Yong Xia, Jiulin Wang, Jiming Peng:
Efficiently solving total least squares with Tikhonov identical regularization. Comput. Optim. Appl. 70(2): 571-592 (2018) - [j28]Thorsten Koch, Ya-Feng Liu, Jiming Peng:
Preface: Special issue of MOA 2016. J. Glob. Optim. 70(1): 1-3 (2018) - [c11]Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh:
A Biresolution Spectral Framework for Product Quantization. CVPR 2018: 3329-3338 - 2017
- [j27]Joshua Q. Hale, Enlu Zhou, Jiming Peng:
A Lagrangian search method for the P-median problem. J. Glob. Optim. 69(1): 137-156 (2017) - 2016
- [c10]Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh:
Network Flow Formulations for Learning Binary Hashing. ECCV (5) 2016: 366-381 - 2015
- [j26]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): 171-198 (2015) - [j25]Jingnan Chen, Liming Feng, Jiming Peng:
Optimal deleveraging with nonlinear temporary price impact. Eur. J. Oper. Res. 244(1): 240-247 (2015) - [j24]Xin Chen, Jiming Peng:
New Analysis on Sparse Solutions to Random Standard Quadratic Optimization Problems and Extensions. Math. Oper. Res. 40(3): 725-738 (2015) - [j23]Jiming Peng, Tao Zhu:
A nonlinear semidefinite optimization relaxation for the worst-case linear optimization under uncertainties. Math. Program. 152(1-2): 593-614 (2015) - 2014
- [j22]Jingnan Chen, Liming Feng, Jiming Peng, Yinyu Ye:
Analytical Results and Efficient Algorithm for Optimal Portfolio Deleveraging with Market Impact. Oper. Res. 62(1): 195-206 (2014) - 2013
- [j21]Xin Chen, Jiming Peng, Shuzhong Zhang:
Sparse solutions to random standard quadratic optimization problems. Math. Program. 141(1-2): 273-293 (2013) - 2012
- [j20]Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu:
An efficient algorithm for maximal margin clustering. J. Glob. Optim. 52(1): 123-137 (2012) - [c9]Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C. Johnson:
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. NIPS 2012: 1430-1438 - 2011
- [c8]Lopamudra Mukherjee, Vikas Singh, Jiming Peng:
Scale invariant cosegmentation for image groups. CVPR 2011: 1881-1888 - 2010
- [j19]Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu:
Ensemble clustering using semidefinite programming with applications. Mach. Learn. 79(1-2): 177-200 (2010) - [j18]Jiming Peng, Hans D. Mittelmann, Xiaoxue Li:
A new relaxation framework for quadratic assignment problems based on matrix splitting. Math. Program. Comput. 2(1): 59-77 (2010) - [j17]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): 3408-3426 (2010) - [c7]Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs:
Learning kernels for variants of normalized cuts: Convex relaxations and applications. CVPR 2010: 3145-3152
2000 – 2009
- 2009
- [j16]Tianshi Jiao, Jiming Peng, Tamás Terlaky:
A confidence voting process for ranking problems based on support vector machines. Ann. Oper. Res. 166(1): 23-38 (2009) - [j15]Peng Du, Jiming Peng, Tamás Terlaky:
Self-adaptive support vector machines: modelling and experiments. Comput. Manag. Sci. 6(1): 41-51 (2009) - [j14]Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney:
Generalized median graphs and applications. J. Comb. Optim. 17(1): 21-44 (2009) - [j13]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): 534-546 (2009) - 2008
- [j12]Katya Scheinberg, Jiming Peng:
PREFACESpecial section on mathematical programming in data mining and machine learning. Optim. Methods Softw. 23(4): 473-474 (2008) - 2007
- [j11]Wu Li, Jiming Peng:
Exact Penalty Functions for Constrained Minimization Problems via Regularized Gap Function for Variational Inequalities. J. Glob. Optim. 37(1): 85-94 (2007) - [j10]Jiming Peng, Yu Wei:
Approximating K-means-type Clustering via Semidefinite Programming. SIAM J. Optim. 18(1): 186-205 (2007) - [j9]Maziar Salahi, Jiming Peng, Tamás Terlaky:
On Mehrotra-Type Predictor-Corrector Algorithms. SIAM J. Optim. 18(4): 1377-1397 (2007) - [c6]Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney:
Generalized Median Graphs: Theory and Applications. ICCV 2007: 1-8 - [c5]Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu:
Ensemble Clustering using Semidefinite Programming. NIPS 2007: 1353-1360 - 2006
- [c4]Jiming Peng, Jiaping Zhu:
Refining Spherical K-Means for Clustering Documents. IJCNN 2006: 4146-4150 - 2005
- [j8]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): 1105-1127 (2005) - [c3]Guoxuan Ma, Jiming Peng, Yu Wei:
On Approximate Balanced Bi-clustering. COCOON 2005: 661-670 - [c2]Yu Xia, Jiming Peng:
A Continuation Method for the Linear Second-Order Cone Complementarity Problem. ICCSA (4) 2005: 290-300 - [c1]Yu Xia, Jiming Peng:
A Cutting Algorithm for the Minimum Sum-of-Squared Error Clustering. SDM 2005: 150-160 - 2002
- [b1]Jiming Peng, Cornelis Roos, Tamás Terlaky:
Self-regularity - a new paradigm for primal-dual interior-point algorithms. Princeton series in applied mathematics, Princeton University Press 2002, ISBN 978-0-691-09193-8, pp. I-XIII, 1-185 - [j7]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): 234-256 (2002) - [j6]Jiming Peng, Cornelis Roos, Tamás Terlaky:
Self-regular functions and new search directions for linear and semidefinite optimization. Math. Program. 93(1): 129-171 (2002) - [j5]Jiming Peng, Tamás Terlaky:
A dynamic large-update primal-dual interior-point method for linear optimization. Optim. Methods Softw. 17(6): 1077-1104 (2002) - [j4]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): 179-203 (2002) - 2001
- [j3]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): 870-888 (2001) - 2000
- [j2]Jiming Peng, Cees Roos, Tamás Terlaky:
New Complexity Analysis of the Primal - Dual Newton Method for Linear Optimization. Ann. Oper. Res. 99(1-4): 23-39 (2000) - [j1]Tibor Illés, Jiming Peng, Cornelis Roos, Tamás Terlaky:
A Strongly Polynomial Rounding Procedure Yielding a Maximally Complementary Solution for P*(kappa) Linear Complementarity Problems. SIAM J. Optim. 11(2): 320-340 (2000)
Coauthor Index
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