Hou-Duo Qi
Hou-Duo Qi
Professor, Applied Mathematics, The Hong Kong Polytechnic University
Verified email at - Homepage
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A quadratically convergent Newton method for computing the nearest correlation matrix
H Qi, D Sun
SIAM journal on matrix analysis and applications 28 (2), 360-385, 2006
A regularized smoothing Newton method for box constrained variational inequality problems with P0-functions
SIAM Journal on Optimization 10 (2), 315-330, 2000
Analysis of nonsmooth symmetric-matrix-valued functions with applications to semidefinite complementarity problems
X Chen, H Qi, P Tseng
SIAM Journal on Optimization 13 (4), 960-985, 2003
A QP-free constrained Newton-type method for variational inequality problems
C Kanzow, HD Qi
Mathematical Programming 85 (1), 81-106, 1999
A new QP-free, globally convergent, locally superlinearly convergent algorithm for inequality constrained optimization
HD Qi, L Qi
SIAM Journal on Optimization 11 (1), 113-132, 2000
On the minimum norm solution of linear programs
C Kanzow, H Qi, L Qi
Journal of Optimization Theory and Applications 116, 333-345, 2003
A smoothing Newton method for extended vertical linear complementarity problems
HD Qi, LZ Liao
SIAM Journal on Matrix Analysis and Applications 21 (1), 45-66, 1999
Exceptional families and existence theorems for variational inequality problems
YB Zhao, JY Han, HD Qi
Journal of Optimization Theory and Applications 101, 475-495, 1999
An augmented Lagrangian dual approach for the H-weighted nearest correlation matrix problem
H Qi, D Sun
IMA Journal of Numerical Analysis 31 (2), 491-511, 2011
Neurodynamical optimization
LZ Liao, H Qi, L Qi
Journal of Global Optimization 28, 175-195, 2004
A smoothing Newton method for general nonlinear complementarity problems
HD Qi, LZ Liao
Computational Optimization and Applications 17, 231-253, 2000
Deriving sufficient conditions for global asymptotic stability of delayed neural networks via nonsmooth analysis
H Qi, L Qi
IEEE Transactions on Neural Networks 15 (1), 99-109, 2004
Global and quadratic convergence of Newton hard-thresholding pursuit
S Zhou, N Xiu, HD Qi
Journal of Machine Learning Research 22 (12), 1-45, 2021
New sufficient conditions for global robust stability of delayed neural networks
H Qi
IEEE Transactions on Circuits and Systems I: Regular Papers 54 (5), 1131-1141, 2007
Solving nonlinear complementarity problems with neural networks: a reformulation method approach
LZ Liao, H Qi, L Qi
Journal of Computational and Applied Mathematics 131 (1-2), 343-359, 2001
Correlation stress testing for value-at-risk: an unconstrained convex optimization approach
H Qi, D Sun
Computational Optimization and Applications 45 (2), 427-462, 2010
A feasible semismooth asymptotically Newton method for mixed complementarity problems
D Sun, RS Womersley, H Qi
Mathematical Programming 94, 167-187, 2002
Smooth convex approximation to the maximum eigenvalue function
X Chen, H Qi, L Qi, KL Teo
Journal of Global Optimization 30 (2), 253-270, 2004
Computing the nearest Euclidean distance matrix with low embedding dimensions
HD Qi, X Yuan
Mathematical programming 147 (1), 351-389, 2014
Stability analysis of gradient-based neural networks for optimization problems
Q Han, LZ Liao, H Qi, L Qi
Journal of Global Optimization 19, 363-381, 2001
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