New Complexity Analysis of the Primal - Dual Newton Method for Linear Optimization. - Jiming Peng; Cees Roos; Tamás Terlaky (Ann. Oper. Res., 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)

A Scaled Gauss–Newton Primal-Dual Search Direction for Semidefinite Optimization. - Etienne de Klerk; Jiming Peng; Cees Roos; Tamás Terlaky (SIAM J. Optim., 2001)

Self-regularity - a new paradigm for primal-dual interior-point algorithms. - Jiming Peng; Cornelis Roos; Tamás Terlaky (Princeton University Press, 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-regular functions and new search directions for linear and semidefinite optimization. - Jiming Peng; Cornelis Roos; Tamás Terlaky (Math. Program., 2002)

A dynamic large-update primal-dual interior-point method for linear optimization. - Jiming Peng; Tamás Terlaky (Optim. Methods Softw., 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)

On Approximate Balanced Bi-clustering. - Guoxuan Ma; Jiming Peng; Yu Wei 003 (COCOON, 2005)

A Continuation Method for the Linear Second-Order Cone Complementarity Problem. - Yu Xia 003; Jiming Peng (ICCSA (4), 2005)

A Cutting Algorithm for the Minimum Sum-of-Squared Error Clustering. - Yu Xia 003; Jiming Peng (SDM, 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)

Refining Spherical K-Means for Clustering Documents. - Jiming Peng; Jiaping Zhu (IJCNN, 2006)

Generalized Median Graphs: Theory and Applications. - Lopamudra Mukherjee; Vikas Singh; Jiming Peng; Jinhui Xu 001; Michael J. Zeitz; Ronald Berezney (ICCV, 2007)

Ensemble Clustering using Semidefinite Programming. - Vikas Singh; Lopamudra Mukherjee; Jiming Peng; Jinhui Xu 001 (NIPS, 2007)

Exact Penalty Functions for Constrained Minimization Problems via Regularized Gap Function for Variational Inequalities. - Wu Li; Jiming Peng (J. Glob. Optim., 2007)

Approximating K-means-type Clustering via Semidefinite Programming. - Jiming Peng; Yu Wei 003 (SIAM J. Optim., 2007)

On Mehrotra-Type Predictor-Corrector Algorithms. - Maziar Salahi; Jiming Peng; Tamás Terlaky (SIAM J. Optim., 2007)

PREFACESpecial section on mathematical programming in data mining and machine learning. - Katya Scheinberg; Jiming Peng (Optim. Methods Softw., 2008)

A confidence voting process for ranking problems based on support vector machines. - Tianshi Jiao; Jiming Peng; Tamás Terlaky (Ann. Oper. Res., 2009)

Self-adaptive support vector machines: modelling and experiments. - Peng Du; Jiming Peng; Tamás Terlaky (Comput. Manag. Sci., 2009)

Generalized median graphs and applications. - Lopamudra Mukherjee; Vikas Singh; Jiming Peng; Jinhui Xu 001; Michael J. Zeitz; Ronald Berezney (J. Comb. Optim., 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)

Learning kernels for variants of normalized cuts: Convex relaxations and applications. - Lopamudra Mukherjee; Vikas Singh; Jiming Peng; Chris Hinrichs (CVPR, 2010)

Ensemble clustering using semidefinite programming with applications. - Vikas Singh; Lopamudra Mukherjee; Jiming Peng; Jinhui Xu 001 (Mach. Learn., 2010)

A new relaxation framework for quadratic assignment problems based on matrix splitting. - Jiming Peng; Hans D. Mittelmann; Xiaoxue Li (Math. Program. Comput., 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)

Scale invariant cosegmentation for image groups. - Lopamudra Mukherjee; Vikas Singh; Jiming Peng (CVPR, 2011)

Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. - Chris Hinrichs; Vikas Singh; Jiming Peng; Sterling C. Johnson (NIPS, 2012)

An efficient algorithm for maximal margin clustering. - Jiming Peng; Lopamudra Mukherjee; Vikas Singh; Dale Schuurmans; Linli Xu (J. Glob. Optim., 2012)

Sparse solutions to random standard quadratic optimization problems. - Xin Chen 026; Jiming Peng; Shuzhong Zhang (Math. Program., 2013)

Analytical Results and Efficient Algorithm for Optimal Portfolio Deleveraging with Market Impact. - Jingnan Chen; Liming Feng; Jiming Peng; Yinyu Ye 001 (Oper. Res., 2014)

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)

Optimal deleveraging with nonlinear temporary price impact. - Jingnan Chen; Liming Feng; Jiming Peng (Eur. J. Oper. Res., 2015)

New Analysis on Sparse Solutions to Random Standard Quadratic Optimization Problems and Extensions. - Xin Chen 026; Jiming Peng (Math. Oper. Res., 2015)

A nonlinear semidefinite optimization relaxation for the worst-case linear optimization under uncertainties. - Jiming Peng; Tao Zhu (Math. Program., 2015)

Network Flow Formulations for Learning Binary Hashing. - Lopamudra Mukherjee; Jiming Peng; Trevor Sigmund; Vikas Singh (ECCV (5), 2016)

A Lagrangian search method for the P-median problem. - Joshua Q. Hale; Enlu Zhou; Jiming Peng (J. Glob. Optim., 2017)

A Biresolution Spectral Framework for Product Quantization. - Lopamudra Mukherjee; Sathya N. Ravi; Jiming Peng; Vikas Singh (CVPR, 2018)

Efficiently solving total least squares with Tikhonov identical regularization. - Mei-Jia Yang; Yong Xia 002; Jiulin Wang; Jiming Peng (Comput. Optim. Appl., 2018)

Preface: Special issue of MOA 2016. - Thorsten Koch; Ya-Feng Liu; Jiming Peng (J. Glob. Optim., 2018)

Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods. - Hezhi Luo; Xiaodi Bai; Jiming Peng (J. Optim. Theory Appl., 2019)

Vulnerability Analysis of the Financial Network. - Aein Khabazian; Jiming Peng (Manag. Sci., 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)

Preface: special issue of MOA 2018. - Ya-Feng Liu; Fengmin Xu; Neng Fan; Jiming Peng (J. Glob. Optim., 2020)

Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties. - Hezhi Luo; Xiaodong Ding; Jiming Peng; Rujun Jiang; Duan Li 002 (INFORMS J. Comput., 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)

Preface: special issue of MOA 2020. - Ya-Feng Liu; Zi Xu; Pavlo A. Krokhmal; Jiming Peng (J. Glob. Optim., 2023)