A QP-free constrained Newton-type method for variational inequality problems. - Christian Kanzow; Houduo Qi (Math. Program., 1999)

A Smoothing Newton Method for Extended Vertical Linear Complementarity Problems. - Houduo Qi; Li-Zhi Liao (SIAM J. Matrix Anal. Appl., 1999)

A Smoothing Newton Method for General Nonlinear Complementarity Problems. - Houduo Qi; Li-Zhi Liao (Comput. Optim. Appl., 2000)

A Regularized Smoothing Newton Method for Box Constrained Variational Inequality Problems with P0-Functions. - Houduo Qi (SIAM J. Optim., 2000)

A New QP-Free, Globally Convergent, Locally Superlinearly Convergent Algorithm For Inequality Constrained Optimization. - Houduo Qi; Liqun Qi 001 (SIAM J. Optim., 2000)

Stability Analysis of Gradient-Based Neural Networks for Optimization Problems. - Qiaoming Han; Li-Zhi Liao; Houduo Qi; Liqun Qi 001 (J. Glob. Optim., 2001)

Convergence of Newton's method for convex best interpolation. - Asen L. Dontchev; Houduo Qi; Liqun Qi 001 (Numerische Mathematik, 2001)

A feasible semismooth asymptotically Newton method for mixed complementarity problems. - Defeng Sun; Robert S. Womersley; Houduo Qi (Math. Program., 2002)

A Newton Method for Shape-Preserving Spline Interpolation. - Asen L. Dontchev; Houduo Qi; Liqun Qi 001; Hongxia Yin (SIAM J. Optim., 2002)

Finite termination of a dual Newton method for convex best C 1 interpolation and smoothing. - Houduo Qi; Liqun Qi 001 (Numerische Mathematik, 2003)

Analysis of Nonsmooth Symmetric-Matrix-Valued Functions with Applications to Semidefinite Complementarity Problems. - Xin Chen 093; Houduo Qi; Paul Tseng (SIAM J. Optim., 2003)

Solving Karush–Kuhn–Tucker Systems via the Trust Region and the Conjugate Gradient Methods. - Houduo Qi; Liqun Qi 001; Defeng Sun (SIAM J. Optim., 2003)

Semismoothness of Spectral Functions. - Houduo Qi; Xiaoqi Yang 001 (SIAM J. Matrix Anal. Appl., 2003)

Smooth Convex Approximation to the Maximum Eigenvalue Function. - Xin Chen 093; Houduo Qi; Liqun Qi 001; Kok Lay Teo (J. Glob. Optim., 2004)

Neurodynamical Optimization. - Li-Zhi Liao; Houduo Qi; Liqun Qi 001 (J. Glob. Optim., 2004)

Deriving sufficient conditions for global asymptotic stability of delayed neural networks via nonsmooth analysis. - Houduo Qi; Liqun Qi 001 (IEEE Trans. Neural Networks, 2004)

Deriving sufficient conditions for global asymptotic stability of delayed neural networks via nonsmooth analysis-II. - Houduo Qi; Liqun Qi 001; Xiaoqi Yang 001 (IEEE Trans. Neural Networks, 2005)

Cartesian P-property and Its Applications to the Semidefinite Linear Complementarity Problem. - Xin Chen 093; Houduo Qi (Math. Program., 2006)

Armijo Newton method for convex best interpolation. - Hou-Duo Qi; Xiaoqi Yang 001 (Optim. Methods Softw., 2006)

A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix. - Houduo Qi; Defeng Sun (SIAM J. Matrix Anal. Appl., 2006)

Regularity and well-posedness of a dual program for convex best C1-spline interpolation. - Houduo Qi; Xiaoqi Yang 001 (Comput. Optim. Appl., 2007)

New Sufficient Conditions for Global Robust Stability of Delayed Neural Networks. - Houduo Qi (IEEE Trans. Circuits Syst. I Regul. Pap., 2007)

Data Integration for Recommendation Systems. - Zhonghang Xia; Houduo Qi; Manghui Tu; Wenke Zhang (ICMLA, 2008)

Local Duality of Nonlinear Semidefinite Programming. - Houduo Qi (Math. Oper. Res., 2009)

Correlation stress testing for value-at-risk: an unconstrained convex optimization approach. - Houduo Qi; Defeng Sun (Comput. Optim. Appl., 2010)

Newton's Method for Computing the Nearest Correlation Matrix with a Simple Upper Bound. - Qingna Li; Donghui Li; Houduo Qi (J. Optim. Theory Appl., 2010)

Block relaxation and majorization methods for the nearest correlation matrix with factor structure. - Qingna Li; Houduo Qi; Naihua Xiu (Comput. Optim. Appl., 2011)

A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem. - Qingna Li; Houduo Qi (SIAM J. Optim., 2011)

A Semismooth Newton Method for the Nearest Euclidean Distance Matrix Problem. - Houduo Qi (SIAM J. Matrix Anal. Appl., 2013)

A Lagrangian Dual Approach to the Single-Source Localization Problem. - Houduo Qi; Naihua Xiu; Xiaoming Yuan 001 (IEEE Trans. Signal Process., 2013)

Computing the nearest Euclidean distance matrix with low embedding dimensions. - Houduo Qi; Xiaoming Yuan 001 (Math. Program., 2014)

A Computable Characterization of the Extrinsic Mean of Reflection Shapes and Its Asymptotic Properties. - Chao Ding; Hou-Duo Qi (Asia Pac. J. Oper. Res., 2015)

Constrained Best Euclidean Distance Embedding on a Sphere: A Matrix Optimization Approach. - Shuanghua Bai; Hou-Duo Qi; Naihua Xiu (SIAM J. Optim., 2015)

Tackling the flip ambiguity in wireless sensor network localization and beyond. - Shuanghua Bai; Houduo Qi (Digit. Signal Process., 2016)

A Convex Matrix Optimization for the Additive Constant Problem in Multidimensional Scaling with Application to Locally Linear Embedding. - Hou-Duo Qi (SIAM J. Optim., 2016)

Convex Euclidean distance embedding for collaborative position localization with NLOS mitigation. - Chao Ding; Hou-Duo Qi (Comput. Optim. Appl., 2017)

Convex optimization learning of faithful Euclidean distance representations in nonlinear dimensionality reduction. - Chao Ding; Hou-Duo Qi (Math. Program., 2017)

Iterative reweighted methods for ( ell _1- ell _p ) minimization. - Xianchao Xiu; Lingchen Kong; Yan Li; Houduo Qi (Comput. Optim. Appl., 2018)

A Fast Matrix Majorization-Projection Method for Penalized Stress Minimization With Box Constraints. - Shenglong Zhou 001; Naihua Xiu; Hou-Duo Qi (IEEE Trans. Signal Process., 2018)

Preface. - Houduo Qi; Yiju Wang; Naihua Xiu (Asia Pac. J. Oper. Res., 2019)

Classical Multidimensional Scaling: A Subspace Perspective, Over-Denoising, and Outlier Detection. - Lingchen Kong; Chuanqi Qi; Hou-Duo Qi (IEEE Trans. Signal Process., 2019)

The decompositions with respect to two core non-symmetric cones. - Yue Lu; Ching-Yu Yang; Jein-Shan Chen; Hou-Duo Qi (J. Glob. Optim., 2020)

Robust Euclidean embedding via EDM optimization. - Shenglong Zhou 001; Naihua Xiu; Hou-Duo Qi (Math. Program. Comput., 2020)

Optimal portfolio selections via ℓ 1, 2-norm regularization. - Hongxin Zhao; Lingchen Kong; Hou-Duo Qi (Comput. Optim. Appl., 2021)

Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit. - Shenglong Zhou 001; Naihua Xiu; Hou-Duo Qi (J. Mach. Learn. Res., 2021)

On the long-only minimum variance portfolio under single factor model. - Hou-Duo Qi (Oper. Res. Lett., 2021)

Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization. - Shenglong Zhou 001; Lili Pan 003; Naihua Xiu; Hou-Duo Qi (SIAM J. Optim., 2021)

A Lagrange-Newton algorithm for sparse nonlinear programming. - Chen Zhao; Naihua Xiu; Houduo Qi; Ziyan Luo (Math. Program., 2022)

A penalized method of alternating projections for weighted low-rank hankel matrix optimization. - Jian Shen; Jein-Shan Chen; Hou-Duo Qi; Naihua Xiu (Math. Program. Comput., 2022)

Geometric Characterization of Maximum Diversification Return Portfolio via Rao's Quadratic Entropy. - Hou-Duo Qi (SIAM J. Financial Math., 2023)

Perturbation analysis of the euclidean distance matrix optimization problem and its numerical implications. - Shaoyan Guo; Hou-Duo Qi; Liwei Zhang (Comput. Optim. Appl., 2023)

Randomized iterative methods for generalized absolute value equations: Solvability and error bounds. - Jiaxin Xie; Houduo Qi; Deren Han (CoRR, 2024)

LAMBDA: A Large Model Based Data Agent. - Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang (CoRR, 2024)

A Survey on Large Language Model-based Agents for Statistics and Data Science. - Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang (CoRR, 2024)

Supervised maximum variance unfolding. - Deliang Yang; Hou-Duo Qi (Mach. Learn., 2024)

An efficient Lagrange-Newton algorithm for long-only cardinality constrained portfolio selection on real data sets. - Yingxiao Wang; Lingchen Kong; Houduo Qi (J. Comput. Appl. Math., 2025)

Convergence of ZH-Type Nonmonotone Descent Method for Kurdyka-Łojasiewicz Optimization Problems. - Yitian Qian; Ting Tao; Shaohua Pan; Houduo Qi (SIAM J. Optim., 2025)

Accelerating RLHF Training with Reward Variance Increase. - Zonglin Yang; Zhexuan Gu; Houduo Qi; Yancheng Yuan (CoRR, 2025)