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

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

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

A Novel Approach for Solving Semidefinite Programs. - Hong-Wei Jiao; Yakui Huang; Jing Chen (J. Appl. Math., 2014)

A Barzilai-Borwein type method for stochastic linear complementarity problems. - Yakui Huang; Hongwei Liu 001; Sha Zhou (Numer. Algorithms, 2014)

An efficient monotone projected Barzilai-Borwein method for nonnegative matrix factorization. - Yakui Huang; Hongwei Liu 001; Sha Zhou (Appl. Math. Lett., 2015)

Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization. - Yakui Huang; Hongwei Liu 001; Shuisheng Zhou (Data Min. Knowl. Discov., 2015)

A Barzilai-Borwein type method for minimizing composite functions. - Yakui Huang; Hongwei Liu 001 (Numer. Algorithms, 2015)

A note on the smoothing quadratic regularization method for non-Lipschitz optimization. - Yakui Huang; Hongwei Liu 001; Weijie Cong (Numer. Algorithms, 2015)

On the rate of convergence of projected Barzilai-Borwein methods. - Yakui Huang; Hongwei Liu 001 (Optim. Methods Softw., 2015)

Smoothing projected Barzilai-Borwein method for constrained non-Lipschitz optimization. - Yakui Huang; Hongwei Liu 001 (Comput. Optim. Appl., 2016)

Smoothing projected cyclic Barzilai-Borwein method for stochastic linear complementarity problems. - Yakui Huang; Hongwei Liu 001; Tengteng Yu (Int. J. Comput. Math., 2016)

A family of spectral gradient methods for optimization. - Yu-Hong Dai; Yakui Huang; Xinwei Liu (Comput. Optim. Appl., 2019)

Gradient methods exploiting spectral properties. - Yakui Huang; Yu-Hong Dai; Xinwei Liu; Hongchao Zhang (Optim. Methods Softw., 2020)

Equipping the Barzilai-Borwein Method with the Two Dimensional Quadratic Termination Property. - Yakui Huang; Yu-Hong Dai; Xinwei Liu (SIAM J. Optim., 2021)

Achieving geometric convergence for distributed optimization with Barzilai-Borwein step sizes. - Juan Gao; Xin-Wei Liu; Yu-Hong Dai; Yakui Huang; Peng Yang 015 (Sci. China Inf. Sci., 2022)

On the acceleration of the Barzilai-Borwein method. - Yakui Huang; Yu-Hong Dai; Xin-Wei Liu; Hongchao Zhang (Comput. Optim. Appl., 2022)

On the Asymptotic Convergence and Acceleration of Gradient Methods. - Yakui Huang; Yu-Hong Dai; Xinwei Liu; Hongchao Zhang (J. Sci. Comput., 2022)

A primal-dual interior-point relaxation method with global and rapidly local convergence for nonlinear programs. - Xin-Wei Liu; Yu-Hong Dai; Yakui Huang (Math. Methods Oper. Res., 2022)

A novel augmented Lagrangian method of multipliers for optimization with general inequality constraints. - Xinwei Liu; Yu-Hong Dai; Yakui Huang; Jie Sun 001 (Math. Comput., 2022)

A Family of Distributed Momentum Methods Over Directed Graphs With Linear Convergence. - Juan Gao; Xinwei Liu; Yu-Hong Dai; Yakui Huang; Peng Yang 015 (IEEE Trans. Autom. Control., 2023)

Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization. - Juan Gao; Xinwei Liu; Yu-Hong Dai; Yakui Huang; Junhua Gu (Comput. Optim. Appl., 2023)

A gradient method exploiting the two dimensional quadratic termination property. - Xinrui Li; Yakui Huang (Optim. Lett., 2023)

Improving the stochastically controlled stochastic gradient method by the bandwidth-based stepsize. - Chenchen Liu; Yakui Huang; Dan Wang (Comput. Optim. Appl., 2025)