张雷洪

发布时间：2024-01-15浏览次数：3643

  • 1、A generalized quasi-Newton equation and computational experience,Journal of Computational Mathematics,SCI,2006,Lei-Hong Zhang,Ping-Qi Pan,Lei-Hong Zhang, pp.665-674.,1
  • 2、A continuous Newton-type method for unconstrained optimization,Pacific Journal of Optimization,SCIE,2008,Lei-Hong Zhang,C. T. Kelley,Li-Zhi Liao,C. T. Kelley
  • 3、A generalized projective dynamic for solving extreme and interior eigenvalue problems,Discrete and Continuous Dynamical System - Series B, ,SCI,2008,Lei-Hong Zhang,Li-Zhi Liao,Li-Zhi Liao,10(2008), pp.997-1019.,1
  • 4、Fast Algorithms for the generalized Foley-Sammon discriminant analysis,SIAM Journal on Matrix Analysis and Applications,SCI,2010,Lei-Hong Zhang,Li-Zhi Liao,Michael K. Ng,Lei-Hong Zhang,31 (2010), pp.1584-1605.
  • 5、Riemannian Newton method for the multivariate eigenvalue problem,SIAM Journal on Matrix Analysis and Applications,SCI,2010,Lei-Hong Zhang,Lei-Hong Zhang,31(2010), pp.2972-2996.,1
  • 6、Uncorrelated trace ratio LDA for undersampled problems,Pattern Recognition Letters,SCI,2011,Lei-Hong Zhang,Lei-Hong Zhang,32(2011), pp.476-484.,1
  • 7、Towards the global solution of the maximal correlation problem,Journal of Global Optimization,SCI,2011,Lei-Hong Zhang,Li-Zhi Liao,Li-Ming Sun,49(2011), pp.91-107.,1
  • 8、On sparse linear discriminant analysis for high-dimensional data classification,Numerical Linear Algebra with Applications,SCI,2011,Michael K. Ng,Li-Zhi Liao,Lei-Hong Zhang,18(2011), pp.223-235.,3
  • 9、Computing absolute maximum correlation,IMA Journal of Numerical Analysis,SCI,2012,Lei-Hong Zhang,Moody T. Chu,32(2012), pp.163-184.,1
  • 10、Riemannian trust-region method for the maximal correlation problem,Numerical Functional Analysis and Optimization,SCI,2012,Lei-Hong Zhang,33:3(2012), pp. 338-362.,1
  • 11、An alternating variable method for the maximal correlation problem,Journal of Global Optimization,SCI,2012,Lei-Hong Zhang,Li-Zhi Liao,54(2012), pp.199-218.,1
  • 12、Superlinear convergence of a general algorithm for the generalized Foley-Sammon discriminant analysis,Journal of Optimization Theory and Applications,SCI,2013,Lei-Hong Zhang,Li-Zhi Liao,Michael K. Ng,157(2013), pp. 853-865.,1
  • 13、On optimizing the sum of the Rayleigh quotient and the generalized Rayleigh quotient on the unit sphere,Computational Optimization and Applications,SCI,2013,Lei-Hong Zhang,Lei-Hong Zhang,54(2013), pp.111-139.,1
  • 14、 Perturbation analysis for the trace quotient problem,Linear and Multilinear Algebra,SCI,2013,Lei-Hong Zhang,Wei Hong Yang,Lei-Hong Zhang,61:12(2013), pp.1629-1640.,1
  • 15、An efficient algorithm for second- order !cone linear complementarity problems,Mathematics of Computation,SCI,2013,Lei-Hong Zhang,Wei Hong Yang,Wei-Hong Yang,83(2013), pp.1701-1726.,1
  • 16、On an efficient implementation of the face algorithm for linear programming,Journal of Computational Mathematics,SCI,2013,Lei-Hong Zhang,Wei Hong Yang,Li-Zhi Liao,Lei-Hong Zhang,31:4(2013), pp.335-354.,1
  • 17、Optimality conditions of the nonlinear programming on Riemannian manifolds,Pacific Journal of Optimization,SCIE,2014,Wei Hong Yang,Lei-Hong Zhang,Ruyi Song,10(2014), pp.415-434.,2/3
  • 18、On the local and superlinear convergence of a parameterized DFP method,Numerical Functional Analysis and Optimization,SCI,2014,Lei-Hong Zhang,Ping-Qi Pan,Shi-Pei Zhang,Lei-Hong Zhang,35:1(2014), pp.111-132.,1
  • 19、A note on the trace ratio optimization problem,Optimization Letters,SCI,2014,Lei-Hong Zhang,Wei Hong Yang,Li-Zhi Liao,Lei-Hong Zhang,8(2014), pp.1637–1645.,1
  • 20、On the self-consistent-field iteration for maximizing the sum of the Rayleigh quotients,Journal of Computational and Applied Mathematics,,SCI,2014,Lei-Hong Zhang,Lei-Hong Zhang,257(2014), pp.14-28.,1
  • 21、Maximization of the sum of the trace ratio on the Stiefel manifold, I: Theory,SCIENCE CHINA Mathematics,SCI,2014,Lei-Hong Zhang,Ren-Cang Li,57(2014), pp. 2495– 2508.,1
  • 22、Rayleigh-Ritz approximation for the linear response eigenvalue problem,SIAM Journal on Matrix Analysis and Applications,SCI,2014,Lei-Hong Zhang,Jungong Xue,Ren-Cang Li,35:2(2014), pp. 765-782.,1
  • 23、Global and local convergence of a nonmonotone SQP method for constrained nonlinear optimization,Computational Optimization and Applications,,SCI,2014,Chungen Shen,Lei-Hong Zhang,Bo Wang,59(2014), pp. 435-473.,2
  • 24、An efficient matrix splitting method for the second-order cone complementarity problem,SIAM Journal on Optimization,SCI,2014,Lei-Hong Zhang,Wei Hong Yang,Lei-Hong Zhang,24:3(2014), pp. 1178-1205.,1
  • 25、Convergence of block Lanczos method for eigenvalue clusters,Numerische Mathematik,SCI,2015,Ren-Cang Li,Lei-Hong Zhang,131(2015), pp. 83-113.,2/2
  • 26、Backward perturbation analysis and residual bounds of the linear response eigenvalue problem,BIT Numerical Mathematics,SCI,2015,Lei-Hong Zhang,Wen-Wei Lin,Ren-Cang Li,,55(2015), pp. 869-896.,1
  • 27、Maximization of the sum of the trace ratio on the Stiefel manifold, II: Computation,SCIENCE CHINA Mathematics,SCI,2015,Lei-Hong Zhang,Ren-Cang Li,58(2015), pp.1549-1566.,1
  • 28、A Krylov subspace method for the large-scale second-order cone complementarity problem,SIAM Journal on Scientific Computing,SCI,2015,Lei-Hong Zhang,Wei Hong Yang,Chungen Shen,37:4(2015), pp. A2046-A2075.,1/4
  • 29、A stabilized filter SQP algorithm for nonlinear programming,Journal of Global Optimization,SCI,2016,Chungen Shen,Lei-Hong Zhang,Wei Liu,65:4(2016), pp. 677-708.,2
  • 30、A filter active-Set algorithm for ball/sphere constrained optimization problem,SIAM Journal on Optimization,SCI,2016,Chungen Shen,Lei-Hong Zhang,Wei Hong Yang,26:3(2016), pp.1429-1464.,2/3
  • 31、Solution analysis for the pseudomonotone second-order cone linear complementarity problem,Optimization,SCI,2016,Wei Hong Yang,Lei-Hong Zhang,Chungen Shen,65:9(2016), pp.1703-1715.,2/3
  • 32、Error bounds for approximate deflating subspaces of linear response eigenvalue problem,Linear Algebra and its applications,SCI,2017,Weiguo Wang,Lei-Hong Zhang,Ren-Cang Li,,528(2017), pp.273-289.,2/3
  • 33、On the range of the pseudomonotone second-order cone linear complementarity problem,Journal of Optimization Theory and Applications,SCI,2017,Weiguo Wang,Lei-Hong Zhang,Chungen Shen,173:2(2017), pp. 504-522.,2/3
  • 34、On the generalized Lanczos trust-region method,SIAM Journal on Optimization,SCI,2017,Lei-Hong Zhang,Chungen Shen,Ren-Cang Li,, 27:3(2017), pp. 2110-2142.,1
  • 35、A Block Lanczos-type Method for the Linear Response Eigenvalue Problem,Electronic Transactions on Numerical Analysis,SCI,2017,Zhongming Teng,Lei-Hong Zhang,46(2017), pp. 505-523.,2/2
  • 36、A Lanczos method for large-scale extreme Lorentz eigenvalue problems,SIAM Journal on Matrix Analysis and Applications,SCI,2018,Lei-Hong Zhang,Chungen Shen,Wei Hong Yang,39:2(2018), pp. 611-631.,1
  • 37、A Review of “Linear Programming Computation” by Ping-Qi Pan,European Journal of Operational Research,SCI,2018,Yangyang Shi,Lei-Hong Zhang,Wenxin Zhu,267:3(2018), pp. 1182-1183.,2/3
  • 38、A nested Lanczos method for the trust-region subproblem,SIAM Journal on Scientific Computing,SCI,2018,Lei-Hong Zhang,Chungen Shen,40:4(2018), pp. A2005–A2032.,1
  • 39、Error bounds of the truncated Lanczos approach for the trust-region subproblem,Frontiers of Mathematics in China,SCIE,2018,Lei-Hong Zhang,Wei Hong Yang,Chungen Shen,13:2(2018), pp. 459-481.,1
  • 40、A projected preconditioning CG method for the linear response eigenvalue problem,Numerical Algebra, Control and Optimization,2018, Xing Li,Chungen Shen,Lei-Hong Zhang,Lei-Hong Zhang,8:4(2018), pp. 389-412.,3/3
  • 41、On an Eigenvector- Dependent Nonlinear Eigenvalue Problem,SIAM Journal on Matrix Analysis and Applications,SCI,2018,Yunfeng Cai,Lei-Hong Zhang,Zhaojun Bai,39:3(2018), pp. 1360-1382.,2/4
  • 42、An Efficient Numerical Method for the Symmetric Positive Definite Second Order Cone Linear Complementarity Problem,Journal of Scientific Computing,SCI,2019,Xiang Wang,Xing Li,Lei-Hong Zhang,79:1608-1629.,3/4
  • 43、 Simultaneous clustering of multiview biomedical data using manifold optimization,Bioinformatics,SCI,2019,Yun Yu,Lei-Hong Zhang,Shuqin Zhang,(2019) 35:4029-4037.,2/3
  • 44、Krylov subspace methods for the trust-region subproblem and beyond,in ICCM proceedings 2018 at NTU,2020,Lei-Hong Zhang,Ren-Cang Li,Lei-Hong Zhang,苏州大学,1
  • 45、Orthogonal Canonical Correlation Analysis and Applications,Optimization Methods and Software,SCI,2020,Li Wang,Lei-Hong Zhang,Zhaojun Bai,35:4(2020): 787-807.,2/4
  • 46、An eigenvalue-based method for the unbalanced Procrustes problem, SIAM Journal on Matrix Analysis and Applications,SCI,2020,Lei-Hong Zhang,苏州大学,Wei Hong Yang,Chungen Shen,Lei-Hong Zhang,苏州大学,Vol. 41, No. 3, pp. 957-983,1
  • 47、A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),SCI,2022,Lei-Hong Zhang,苏州大学,Li Wang,Zhaojun Bai,44(2):890-904.,1/4
  • 48、An accelerated active-set algorithm for a quadratic semidefinite program with general constraints, Computational Optimization and Applications,SCI,2021,Chungen Shen,Yunlong Wang,Wenjuan Xue,78:1, pp. 1-42,4/4
  • 49、A nonlinear eigenvalue problem associated with the sum-of-Rayleigh-quotients maximization, CSIAM Transaction on Applied Mathematic,2021,Lei-Hong Zhang,苏州大学,Rui Chang,Lei-Hong Zhang,苏州大学,2:2, pp. 313-335
  • 50、An Active-Set Newton algorithm for L1 regularized optimization problems with bound constraints, Journal of Scientific Computing,SCI,2020,Chungen Shen,Wenjuan Xue,Lei-Hong Zhang,85:57(2020), pp. 1-34,3/4
  • 51、A structure-exploiting nested Lanczos-type iteration for the multi-view canonical correlation analysis, SIAM Journal on Scientific Computing,SCI,2021,Lei-Hong Zhang,Soochow University,Xijun Ma,Chungen Shen,Lei-Hong Zhang,Soochow University,43(4), A2685–A2713,1
  • 52、An active-set proximal quasi-Newton algorithm for L1 regularized minimization over a sphere constraint, Optimization,SCI,2022,Shengen Shen,Ling Mi,Lei-Hong Zhang,Soochow University,to appear,3/3
  • 53、A Self-Consistent-Field Iteration for MAXBET With an Application to Multi-view Feature Extraction, Advances in Computational Mathematics, SCI,2022, Xijun Ma , Chungen Shen, Li Wang,Lei-Hong Zhang, Ren-Cang Li, Soochow University,48:13.
  • 54、Solving the cubic regularization model by a nested restarting Lanczos method, SIAM Journal on Matrix Analysis and Applications,SCI,2022,Xiaojing Jia,Xin Liang,Chungen Shen,Lei-Hong Zhang,Soochow University,43:2(2022):812-839
  • 55、Solving Symmetric and Positive Definite Second-Order Cone Linear Complementarity Problem by A Rational Krylov Subspace Method, Applied Numerical Mathematics,SCI,2022,Yiding Lin,Xiang Wang,Lei-Hong Zhang,Soochow University,176: 104–117
  • 56、 Orthogonal Multi-view Analysis by Successive Approximations via Eigenvectors, Neurocomputing, SCI, 2022, Li Wang, Lei-Hong Zhang , Chungen Shen and Ren-Cang Li, 512 (2022), 100–116,2
  • 57、 Trace Ratio Optimization Problem with an Application to Multi-view Learning, Mathematical Programming-A, SCI, 2022, Li Wang, Lei-Hong Zhang, Ren-Cang Li, 201, pp. 97–131,2
  • 58、 On Generalizing Trace Minimization Principles, Linear Algebra and its Applications, SCI, 2023, Xin Liang, Li Wang, Lei-Hong Zhang and Ren-Cang Li, 656: 483–509
  • 59、 Maximizing Sum of Coupled Traces with Applications, Numerische Mathematik, to appear, SCI, 2022, Li Wang, Lei-Hong Zhang, Ren-Cang Li,152:587–629
  • 60、 Accurate Polynomial Fitting and Evaluation via Arnoldi, Numerical Algebra, Control and Optimization, 2024, Lei-Hong Zhang, Soochow University, Yangfeng Su, Ren-Cang Li,14:3, pp. 526-546.
  • 61、On Kahan’s automatic step-size control and an anadromic gradient descent iteration, Optimization, SCI, 2025, Zirui Gu, Soochow University, Kexin Jin, Yifen Meng, Linuo Xue, Lei-Hong Zhang,74/1/189-218
  • 62、Proximal Gradient/Semismooth Newton Methods for Projection onto a Polyhedron via the Duality-Gap-Active-Set Strategy, Journal of Scientific Computing, SCI, 2023, Yunlong Wang, Chungen Shen, Lei-Hong Zhang and Wei Hong Yang, 97:3
  • 63、 On Stewart’s Perturbation Theorem for SVD, Annals of Mathematical Sciences and Applications, 2025, Ren-Cang Li, Ninoslav Truhar, Lei-Hong Zhang,10(1): 193–220, 3
  • 64、Robust Tensor Recovery via A Nonconvex Approach with Ket Augmentation and Auto-Weighted Strategy, Numerical Linear Algebra with Applications, SCI, 2024, Wenhui Xie, Soochow University, Chen Ling, Hongjin He, and Lei-Hong Zhang,2024;31(6):e2580,4
  • 65、 The Multi-Class Stackelberg Prediction Game with Least Squares Loss, Optimization and Engineering, SCI, 2025, Shanheng Han, Soochow University, Yangjun Lin, Jiaxin Wang, Lei-Hong Zhang,26:939–963,4
  • 66、The Lq-weighted dual of linear Chebyshev approximation and an interior-point method, Advances in Computational Mathematics, SCI, 2024, Linyi Yang, Soochow University, Lei-Hong Zhang, Yanan Zhang, 50:80, 2
  • 67、 A convex dual problem for the rational minimax approximation and Lawson’s iteration, Mathematics of Computation, SCI, 2025, Lei-Hong Zhang, Soochow University, Linyi Yang, Wei Hong Yang, and Yanan Zhang,94/2457-2494,1
  • 68、 单项式基下Hermite插值和最小二乘逼近的理论和实现, 《大学数学》, 2025, Lei-Hong Zhang, Soochow University, Yanan Zhang, to appear,1
  • 69、 Multi-view Partially Shared Subspace Learning, Optimization and Engineering, SCI, 2025, Xijun Ma, Li Wang, Lei-Hong Zhang, Chungen Shen and Ren-Cang Li, https://doi.org/10.1007/s11081-025-09993-w
  • 70、 A AAA-type algorithm for the microwave duplexer filtering, Numerical Algorithms, SCI, 2025, Lei-Hong Zhang, Soochow University, Ya-Nan Zhang, Linyi Yang and Ru-Wu Xiao, 101(3), 1607-1631
  • 71、 A nonmonotone active-set semismooth Newton method for matrix approximation with group regularization, Journal on Scientific Computing, SCI, 2025, Chungen Shen, Wei Hong Yang, Zhensheng Yu, Lei-Hong Zhang, 103:62
  • 72、 A convergence analysis of Lawson’s iteration for computing polynomial and rational minimax approximations, SIAM Journal on Numerical Analysis, SCI, 2025, Lei-Hong Zhang, Soochow University, Shanheng Han, 63(6): 2187-2370
  • 73、Link-Correlated Analytical Model of Blocking Probability for Asymmetric Multi-Fiber Optical Networks, 2025 Asia Communications and Photonics Conference (ACP), 2025, Yuxie Wang, Yejia Shang, Yuchen Yang, Lei-Hong Zhang and Yongcheng Li, 1-6.
  • 74、 Kahan’s Automatic Step-Size Control for Unconstrained Optimization, Journal of Information and Computing Science, 2026, Yifeng Meng, Chungen Shen, Linuo Xue and Lei-Hong Zhang, to appear.
  • 75、 Uncorrelated Semi-paired Subspace Learning, Journal of Information and Computing Science, 2026, Li Wang, Li Wang, Chungen Shen and Ren-Cang Li, to appear.
  • 76、 Interpolation constrained rational minimax approximation with barycentric representation, Journal of Computational Mathematics, SCI, 2026, Lei-Hong Zhang, Yanan Zhang, to appear.
  • 77、 An NEPv Approach for Feature Selection via Orthogonal Least Squares Regression with Matrix (2,1)-norm Regularization, Journal of Optimization Theory and Applications, SCI, 2026, Li Wang, Lei-Hong Zhang, Ren-Cang Li, 208 (65).
  • 78、 An NPDo Approach for Principal Joint Block Diagonalization, BIT Numerical Mathematics, SCI, 2026, Ren-Cang Li, Ding Lu, Li Wang and Lei-Hong Zhang, 66, 26.
  • 79、 Enhancing Tucker Tensor Completion via Laplace-Like Nonconvex Surrogates and Structural Regularization, Journal on Scientific Computing, SCI, 2026, Wenhui Xie, Lei-Hong Zhang, Chen Lin and Hongjin He, 106:78.