A regularized smoothing-type algorithm for solving a system of inequalities with a P0-function. - Jianguang Zhu; Hongwei Liu 001; Xiangli Li 001 (J. Comput. Appl. Math., 2010)

New reformulation and feasible semismooth Newton method for a class of stochastic linear complementarity problems. - Hongwei Liu 001; Yakui Huang; Xiangli Li 001 (Appl. Math. Comput., 2011)

Solving equations via the trust region and its application to a class of stochastic linear complementarity problems. - Hongwei Liu 001; Xiangli Li 001; Yakui Huang (Comput. Math. Appl., 2011)

Corrigendum to "Solving equations via the trust region and its application to a class of stochastic linear complementarity problems" [Comput. Math. Appl. 61 (2011) 1646-1664]. - Hongwei Liu 001; Xiangli Li 001; Yakui Huang (Comput. Math. Appl., 2011)

Feasible smooth method based on Barzilai-Borwein method for stochastic linear complementarity problem. - Xiangli Li 001; Hongwei Liu 001; Xiaojun Sun (Numer. Algorithms, 2011)

Partial projected Newton method for a class of stochastic linear complementarity problems. - Hongwei Liu 001; Yakui Huang; Xiangli Li 001 (Numer. Algorithms, 2011)

Non-monotone projection gradient method for non-negative matrix factorization. - Xiangli Li 001; Hongwei Liu 001; Xiuyun Zheng (Comput. Optim. Appl., 2012)

Trust-region method for box-constrained semismooth equations and its applications to complementary problems. - Hongwei Liu 001; Xiangli Li 001; Yakui Huang (Int. J. Comput. Math., 2012)

Modified subspace Barzilai-Borwein gradient method for non-negative matrix factorization. - Hongwei Liu 001; Xiangli Li 001 (Comput. Optim. Appl., 2013)

Solving non-negative matrix factorization by alternating least squares with a modified strategy. - Hongwei Liu 001; Xiangli Li 001; Xiuyun Zheng (Data Min. Knowl. Discov., 2013)

Spectral residual methods with two new non-monotone line searches for large-scale nonlinear systems of equations. - Xiangli Li 001; Xiao Guo (Appl. Math. Comput., 2015)

A class of modified FR conjugate gradient method and applications to non-negative matrix factorization. - Xiangli Li 001; Wen Zhang; Xiaoliang Dong (Comput. Math. Appl., 2017)

A new conjugate gradient method based on Quasi-Newton equation for unconstrained optimization. - Xiangli Li 001; Juanjuan Shi; Xiaoliang Dong; Jianglan Yu (J. Comput. Appl. Math., 2019)

Manifold ranking graph regularization non-negative matrix factorization with global and local structures. - Xiangli Li 001; Jianglan Yu; Xiaoliang Dong; Pengfei Zhao (Pattern Anal. Appl., 2020)

A new CG algorithm based on a scaled memoryless BFGS update with adaptive search strategy, and its application to large-scale unconstrained optimization problems. - Xiangli Li 001; Wenjuan Zhao; Xiaoliang Dong (J. Comput. Appl. Math., 2021)

Adaptive graph-based discriminative nonnegative matrix factorization for image clustering. - Ying Zhang; Xiangli Li 001; Mengxue Jia (Signal Process. Image Commun., 2021)

Semi-supervised sparse neighbor constrained co-clustering with dissimilarity and similarity regularization. - Xiangli Li 001; Xiyan Lu; Xuezhen Fan (Eng. Appl. Artif. Intell., 2022)

Semi-supervised nonnegative matrix factorization with pairwise constraints for image clustering. - Ying Zhang; Xiangli Li 001; Mengxue Jia (Int. J. Mach. Learn. Cybern., 2022)

A modified conjugate gradient method based on the self-scaling memoryless BFGS update. - Xiangli Li 001; Wenjuan Zhao (Numer. Algorithms, 2022)

Modified fuzzy clustering algorithm based on non-negative matrix factorization locally constrained. - Xiangli Li 001; Xuezhen Fan; Xiyan Lu (J. Ambient Intell. Humaniz. Comput., 2023)

An algorithm of non-negative matrix factorization with the nearest neighbor after per-treatments. - Mengxue Jia; Xiangli Li 001; Ying Zhang (Multim. Tools Appl., 2023)

An algorithm of nonnegative matrix factorization under structure constraints for image clustering. - Mengxue Jia; Xiangli Li 001; Ying Zhang (Neural Comput. Appl., 2023)

Dual semi-supervised hypergraph regular multi-view NMF with anchor graph embedding. - Jianping Mei; Xiangli Li 001; Yuanjian Mo (Knowl. Based Syst., 2024)

Semi-supervised clustering ensemble based on genetic algorithm model. - Sheng Bi; Xiangli Li 001 (Multim. Tools Appl., 2024)

A density clustering algorithm based on Fermat neighbor points and partition allocation strategy. - Xiangli Li 001; Quan Zhuang (Expert Syst. Appl., 2025)