Jiming Peng

49 papers A* 4A 1B 1Misc 1Journal 37Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
New biconvex optimization for planning of battery energy storage systems.
Comput. Optim. Appl.
Ang Li, Jiming Peng, Lei Fan
2023 J jnl
Preface: special issue of MOA 2020.
J. Glob. Optim.
Ya-Feng Liu, Zi Xu, Pavlo A. Krokhmal, Jiming Peng
2021 J jnl
Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties.
INFORMS J. Comput.
Hezhi Luo, Xiaodong Ding, Jiming Peng, Rujun Jiang, Duan Li
2021 J jnl
On some extended mixed integer optimization models of the Eisenberg-Noe model in systemic risk management.
Int. Trans. Oper. Res.
Zhi-Long Dong, Jiming Peng, Fengmin Xu, Yu-Hong Dai
2020 J jnl
Preface: special issue of MOA 2018.
J. Glob. Optim.
Ya-Feng Liu, Fengmin Xu, Neng Fan, Jiming Peng
2019 J jnl
Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods.
J. Optim. Theory Appl.
Hezhi Luo, Xiaodi Bai, Jiming Peng
2019 J jnl
New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation.
Math. Program. Comput.
Hezhi Luo, Xiaodi Bai, Gino J. Lim, Jiming Peng
2019 J jnl
Vulnerability Analysis of the Financial Network.
Manag. Sci.
Aein Khabazian, Jiming Peng
2018 A* conf
A Biresolution Spectral Framework for Product Quantization.
CVPR
Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh
2018 J jnl
Efficiently solving total least squares with Tikhonov identical regularization.
Comput. Optim. Appl.
Mei-Jia Yang, Yong Xia, Jiulin Wang, Jiming Peng
2018 J jnl
Preface: Special issue of MOA 2016.
J. Glob. Optim.
Thorsten Koch, Ya-Feng Liu, Jiming Peng
2017 J jnl
A Lagrangian search method for the P-median problem.
J. Glob. Optim.
Joshua Q. Hale, Enlu Zhou, Jiming Peng
2016 — conf
Network Flow Formulations for Learning Binary Hashing.
ECCV (5)
Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh
2015 J jnl
A nonlinear semidefinite optimization relaxation for the worst-case linear optimization under uncertainties.
Math. Program.
Jiming Peng, Tao Zhu
2015 J jnl
New Analysis on Sparse Solutions to Random Standard Quadratic Optimization Problems and Extensions.
Math. Oper. Res.
Xin Chen, Jiming Peng
2015 J jnl
Optimal deleveraging with nonlinear temporary price impact.
Eur. J. Oper. Res.
Jingnan Chen, Liming Feng, Jiming Peng
2015 J jnl
Semi-definite programming relaxation of quadratic assignment problems based on nonredundant matrix splitting.
Comput. Optim. Appl.
Jiming Peng, Tao Zhu, Hezhi Luo, Kim-Chuan Toh
2014 J jnl
Analytical Results and Efficient Algorithm for Optimal Portfolio Deleveraging with Market Impact.
Oper. Res.
Jingnan Chen, Liming Feng, Jiming Peng, Yinyu Ye
2013 J jnl
Sparse solutions to random standard quadratic optimization problems.
Math. Program.
Xin Chen, Jiming Peng, Shuzhong Zhang
2012 J jnl
An efficient algorithm for maximal margin clustering.
J. Glob. Optim.
Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
2012 — conf
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging.
NIPS
Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C. Johnson
2011 A* conf
Scale invariant cosegmentation for image groups.
CVPR
Lopamudra Mukherjee, Vikas Singh, Jiming Peng
2010 J jnl
A new relaxation framework for quadratic assignment problems based on matrix splitting.
Math. Program. Comput.
Jiming Peng, Hans D. Mittelmann, Xiaoxue Li
2010 J jnl
Ensemble clustering using semidefinite programming with applications.
Mach. Learn.
Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
2010 J jnl
Estimating Bounds for Quadratic Assignment Problems Associated with Hamming and Manhattan Distance Matrices Based on Semidefinite Programming.
SIAM J. Optim.
Hans D. Mittelmann, Jiming Peng
2010 A* conf
Learning kernels for variants of normalized cuts: Convex relaxations and applications.
CVPR
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs
2009 J jnl
A confidence voting process for ranking problems based on support vector machines.
Ann. Oper. Res.
Tianshi Jiao, Jiming Peng, Tamás Terlaky
2009 J jnl
Generalized median graphs and applications.
J. Comb. Optim.
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
2009 J jnl
Optimization-Based Dynamic Sensor Management for Distributed Multitarget Tracking.
IEEE Trans. Syst. Man Cybern. Part C
Ratnasingham Tharmarasa, Thiagalingam Kirubarajan, Jiming Peng, Thomas Lang
2009 J jnl
Self-adaptive support vector machines: modelling and experiments.
Comput. Manag. Sci.
Peng Du, Jiming Peng, Tamás Terlaky
2008 J jnl
PREFACESpecial section on mathematical programming in data mining and machine learning.
Optim. Methods Softw.
Katya Scheinberg, Jiming Peng
2007 J jnl
Approximating K-means-type Clustering via Semidefinite Programming.
SIAM J. Optim.
Jiming Peng, Yu Wei
2007 — conf
Ensemble Clustering using Semidefinite Programming.
NIPS
Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
2007 J jnl
Exact Penalty Functions for Constrained Minimization Problems via Regularized Gap Function for Variational Inequalities.
J. Glob. Optim.
Wu Li, Jiming Peng
2007 A* conf
Generalized Median Graphs: Theory and Applications.
ICCV
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
2007 J jnl
On Mehrotra-Type Predictor-Corrector Algorithms.
SIAM J. Optim.
Maziar Salahi, Jiming Peng, Tamás Terlaky
2006 B conf
Refining Spherical K-Means for Clustering Documents.
IJCNN
Jiming Peng, Jiaping Zhu
2005 — conf
A Continuation Method for the Linear Second-Order Cone Complementarity Problem.
ICCSA (4)
Yu Xia, Jiming Peng
2005 A conf
A Cutting Algorithm for the Minimum Sum-of-Squared Error Clustering.
SDM
Yu Xia, Jiming Peng
2005 J jnl
A Predictor-Corrector Algorithm for Linear Optimization Based on a Specific Self-Regular Proximity Function.
SIAM J. Optim.
Jiming Peng, Tamás Terlaky, Yunbin Zhao
2005 Misc conf
On Approximate Balanced Bi-clustering.
COCOON
Guoxuan Ma, Jiming Peng, Yu Wei
2002 J jnl
A dynamic large-update primal-dual interior-point method for linear optimization.
Optim. Methods Softw.
Jiming Peng, Tamás Terlaky
2002 J jnl
A new class of polynomial primal-dual methods for linear and semidefinite optimization.
Eur. J. Oper. Res.
Jiming Peng, Cornelis Roos, Tamás Terlaky
2002 J jnl
Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities.
SIAM J. Optim.
Jiming Peng, Cornelis Roos, Tamás Terlaky
2002 J jnl
Self-regular functions and new search directions for linear and semidefinite optimization.
Math. Program.
Jiming Peng, Cornelis Roos, Tamás Terlaky
2002 — book
Self-regularity - a new paradigm for primal-dual interior-point algorithms.
Jiming Peng, Cornelis Roos, Tamás Terlaky
2001 J jnl
A Scaled Gauss--Newton Primal-Dual Search Direction for Semidefinite Optimization.
SIAM J. Optim.
Etienne de Klerk, Jiming Peng, Cees Roos, Tamás Terlaky
2000 J jnl
A Strongly Polynomial Rounding Procedure Yielding a Maximally Complementary Solution for P
SIAM J. Optim.
Tibor Illés, Jiming Peng, Cornelis Roos, Tamás Terlaky
2000 J jnl
New Complexity Analysis of the Primal - Dual Newton Method for Linear Optimization.
Ann. Oper. Res.
Jiming Peng, Cees Roos, Tamás Terlaky