Lei-Hong Zhang

66 papers Journal 66

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A AAA-type algorithm for the microwave duplexer filtering. Numer. Algorithms Lei-Hong Zhang, Ya-Nan Zhang, Linyi Yang, Ruwu Xiao
2026	J	`jnl`	An NEPv Approach for Orthogonal CCA with Matrix (2, 1)-norm Regularization with Application to Feature Selection. J. Optim. Theory Appl. Li Wang, Lei-Hong Zhang, Ren-Cang Li
2026	J	`jnl`	An NPDo Approach for Principal Joint Block Diagonalization. CoRR Ren-Cang Li, Ding Lu, Li Wang, Lei-Hong Zhang
2026	J	`jnl`	Enhancing Tucker Tensor Completion via Laplace-Like Nonconvex Surrogates and Structural Regularization. J. Sci. Comput. Wenhui Xie, Lei-Hong Zhang, Chen Ling, Hongjin He
2026	J	`jnl`	NEP_MiniMax: An Approach for NEPs Based on Matrix-valued Minimax Approximations. CoRR Chenkun Zhang, Jiawei Gu, Lei-Hong Zhang
2026	J	`jnl`	Optimality Conditions for Rational Minimax Approximations: Bridging Ruttan's Criteria to Dual-Based Methods. CoRR Lei-Hong Zhang
2025	J	`jnl`	A Convergence Analysis Of Lawson's Iteration For Computing Polynomial And Rational Minimax Approximations. SIAM J. Numer. Anal. Lei-Hong Zhang, Shanheng Han
2025	J	`jnl`	A Minimal Perturbation Approach For The Rectangular Multiparameter Eigenvalue Problem. CoRR Shanheng Han, Lei-Hong Zhang, Ren-Cang Li
2025	J	`jnl`	A Nonmonotone Active-Set Semismooth Newton Method for Matrix Approximation with Group Regularization. J. Sci. Comput. Chungen Shen, Wei Hong Yang, Zhensheng Yu, Lei-Hong Zhang
2025	J	`jnl`	An NEPv Approach for Feature Selection via Orthogonal OCCA with the (2,1)-norm Regularization. CoRR Li Wang, Lei-Hong Zhang, Ren-Cang Li
2025	J	`jnl`	Kahan's Automatic Step-Size Control for Unconstrained Optimization. CoRR Yifeng Meng, Chungen Shen, Linuo Xue, Lei-Hong Zhang
2025	J	`jnl`	Rational minimax approximation of matrix-valued functions. CoRR Lei-Hong Zhang, Ya-Nan Zhang, Chenkun Zhang, Shanheng Han
2025	J	`jnl`	b-d-Lawson: a method for the interpolation constrained rational minimax approximation. CoRR Lei-Hong Zhang, Ya-Nan Zhang
2024	J	`jnl`	A convex dual problem for the rational minimax approximation and Lawson's iteration. Math. Comput. Lei-Hong Zhang, Linyi Yang, Wei Hong Yang, Ya-Nan Zhang
2024	J	`jnl`	Convergence analysis of Lawson's iteration for the polynomial and rational minimax approximations. CoRR Lei-Hong Zhang, Shanheng Han
2024	J	`jnl`	Multivariate confluent Vandermonde with G-Arnoldi and applications. CoRR Lei-Hong Zhang, Ya-Nan Zhang, Linyi Yang, Yifu Wu
2024	J	`jnl`	On Stewart's Perturbation Theorem for SVD. CoRR Ren-Cang Li, Ninoslav Truhar, Lei-Hong Zhang
2024	J	`jnl`	Quality of Approximate Balanced Truncation. CoRR Lei-Hong Zhang, Ren-Cang Li
2024	J	`jnl`	Robust tensor recovery via a nonconvex approach with ket augmentation and auto-weighted strategy. Numer. Linear Algebra Appl. Wenhui Xie, Chen Ling, Hongjin He, Lei-Hong Zhang
2024	J	`jnl`	The L Adv. Comput. Math. Linyi Yang, Lei-Hong Zhang, Zhang Ya-Nan
2023	J	`jnl`	A convex dual programming for the rational minimax approximation and Lawson's iteration. CoRR Lei-Hong Zhang, Linyi Yang, Wei Hong Yang, Ya-Nan Zhang
2023	J	`jnl`	Proximal Gradient/Semismooth Newton Methods for Projection onto a Polyhedron via the Duality-Gap-Active-Set Strategy. J. Sci. Comput. Yunlong Wang, Chungen Shen, Lei-Hong Zhang, Wei Hong Yang
2023	J	`jnl`	The L CoRR Linyi Yang, Lei-Hong Zhang, Ya-Nan Zhang
2023	J	`jnl`	Trace ratio optimization with an application to multi-view learning. Math. Program. Li Wang, Lei-Hong Zhang, Ren-Cang Li
2022	J	`jnl`	A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li
2022	J	`jnl`	A self-consistent-field iteration for MAXBET with an application to multi-view feature extraction. Adv. Comput. Math. Xijun Ma, Chungen Shen, Li Wang, Lei-Hong Zhang, Ren-Cang Li
2022	J	`jnl`	Maximizing sum of coupled traces with applications. Numerische Mathematik Li Wang, Lei-Hong Zhang, Ren-Cang Li
2022	J	`jnl`	Orthogonal multi-view analysis by successive approximations via eigenvectors. Neurocomputing Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
2022	J	`jnl`	Solving the Cubic Regularization Model by a Nested Restarting Lanczos Method. SIAM J. Matrix Anal. Appl. Xiaojing Jia, Xin Liang, Chungen Shen, Lei-Hong Zhang
2021	J	`jnl`	A Structure-Exploiting Nested Lanczos-Type Iteration for the Multiview Canonical Correlation Analysis. SIAM J. Sci. Comput. Lei-Hong Zhang, Xijun Ma, Chungen Shen
2021	J	`jnl`	An accelerated active-set algorithm for a quadratic semidefinite program with general constraints. Comput. Optim. Appl. Chungen Shen, Yunlong Wang, Wenjuan Xue, Lei-Hong Zhang
2021	J	`jnl`	On Generalizing Trace Minimization. CoRR Xin Liang, Li Wang, Lei-Hong Zhang, Ren-Cang Li
2021	J	`jnl`	Trace Ratio Optimization with an Application to Multi-view Learning. CoRR Li Wang, Lei-Hong Zhang, Ren-Cang Li
2020	J	`jnl`	An Active-Set Proximal-Newton Algorithm for ℓ J. Sci. Comput. Chungen Shen, Wenjuan Xue, Lei-Hong Zhang, Baiyun Wang
2020	J	`jnl`	An Eigenvalue-Based Method for the Unbalanced Procrustes Problem. SIAM J. Matrix Anal. Appl. Lei-Hong Zhang, Wei Hong Yang, Chungen Shen, Jiaqi Ying
2020	J	`jnl`	Orthogonal Multi-view Analysis by Successive Approximations via Eigenvectors. CoRR Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
2020	J	`jnl`	Orthogonal canonical correlation analysis and applications. Optim. Methods Softw. Li Wang, Lei-Hong Zhang, Zhaojun Bai, Ren-Cang Li
2020	J	`jnl`	Solving Symmetric and Positive Definite Second-Order Cone Linear Complementarity Problem by A Rational Krylov Subspace Method. CoRR Yiding Lin, Xiang Wang, Lei-Hong Zhang
2020	J	`jnl`	Uncorrelated Semi-paired Subspace Learning. CoRR Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
2019	J	`jnl`	A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis. CoRR Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li
2019	J	`jnl`	An Efficient Numerical Method for the Symmetric Positive Definite Second-Order Cone Linear Complementarity Problem. J. Sci. Comput. Xiang Wang, Xing Li, Lei-Hong Zhang, Ren-Cang Li
2019	J	`jnl`	Simultaneous clustering of multiview biomedical data using manifold optimization. Bioinform. Yun Yu, Lei-Hong Zhang, Shuqin Zhang
2018	J	`jnl`	A Lanczos Method for Large-Scale Extreme Lorentz Eigenvalue Problems. SIAM J. Matrix Anal. Appl. Lei-Hong Zhang, Chungen Shen, Wei Hong Yang, Joaquim João Júdice
2018	J	`jnl`	A Nested Lanczos Method for the Trust-Region Subproblem. SIAM J. Sci. Comput. Lei-Hong Zhang, Chungen Shen
2018	J	`jnl`	A review of "linear programming computation" by Ping-Qi Pan. Eur. J. Oper. Res. Yangyang Shi, Lei-Hong Zhang, Wenxing Zhu
2018	J	`jnl`	On an Eigenvector-Dependent Nonlinear Eigenvalue Problem. SIAM J. Matrix Anal. Appl. Yunfeng Cai, Lei-Hong Zhang, Zhaojun Bai, Ren-Cang Li
2017	J	`jnl`	On the Generalized Lanczos Trust-Region Method. SIAM J. Optim. Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
2017	J	`jnl`	On the Range of the Pseudomonotone Second-Order Cone Linear Complementarity Problem. J. Optim. Theory Appl. Wei Hong Yang, Lei-Hong Zhang, Chungen Shen
2016	J	`jnl`	A Filter Active-Set Algorithm for Ball/Sphere Constrained Optimization Problem. SIAM J. Optim. Chungen Shen, Lei-Hong Zhang, Wei Hong Yang
2016	J	`jnl`	A stabilized filter SQP algorithm for nonlinear programming. J. Glob. Optim. Chungen Shen, Lei-Hong Zhang, Wei Liu
2015	J	`jnl`	A Krylov Subspace Method for Large-Scale Second-Order Cone Linear Complementarity Problem. SIAM J. Sci. Comput. Lei-Hong Zhang, Wei Hong Yang, Chungen Shen, Ren-Cang Li
2015	J	`jnl`	Convergence of the block Lanczos method for eigenvalue clusters. Numerische Mathematik Ren-Cang Li, Lei-Hong Zhang
2014	J	`jnl`	A note on the trace quotient problem. Optim. Lett. Lei-Hong Zhang, Wei Hong Yang, Li-Zhi Liao
2014	J	`jnl`	An Efficient Matrix Splitting Method for the Second-Order Cone Complementarity Problem. SIAM J. Optim. Lei-Hong Zhang, Wei Hong Yang
2014	J	`jnl`	An efficient algorithm for second-order cone linear complementarity problems. Math. Comput. Lei-Hong Zhang, Wei Hong Yang
2014	J	`jnl`	Global and local convergence of a nonmonotone SQP method for constrained nonlinear optimization. Comput. Optim. Appl. Chungen Shen, Lei-Hong Zhang, Bo Wang, Wenqiong Shao
2014	J	`jnl`	On a self-consistent-field-like iteration for maximizing the sum of the Rayleigh quotients. J. Comput. Appl. Math. Lei-Hong Zhang
2014	J	`jnl`	Rayleigh-Ritz Approximation For the Linear Response Eigenvalue Problem. SIAM J. Matrix Anal. Appl. Lei-Hong Zhang, Jungong Xue, Ren-Cang Li
2013	J	`jnl`	On optimizing the sum of the Rayleigh quotient and the generalized Rayleigh quotient on the unit sphere. Comput. Optim. Appl. Lei-Hong Zhang
2013	J	`jnl`	Superlinear Convergence of a General Algorithm for the Generalized Foley-Sammon Discriminant Analysis. J. Optim. Theory Appl. Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
2012	J	`jnl`	An alternating variable method for the maximal correlation problem. J. Glob. Optim. Lei-Hong Zhang, Li-Zhi Liao
2011	J	`jnl`	On sparse linear discriminant analysis algorithm for high-dimensional data classification. Numer. Linear Algebra Appl. Michael K. Ng, Li-Zhi Liao, Lei-Hong Zhang
2011	J	`jnl`	Towards the global solution of the maximal correlation problem. J. Glob. Optim. Lei-Hong Zhang, Li-Zhi Liao, Li-Ming Sun
2011	J	`jnl`	Uncorrelated trace ratio linear discriminant analysis for undersampled problems. Pattern Recognit. Lett. Lei-Hong Zhang
2010	J	`jnl`	Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis. SIAM J. Matrix Anal. Appl. Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
2010	J	`jnl`	Riemannian Newton Method for the Multivariate Eigenvalue Problem. SIAM J. Matrix Anal. Appl. Lei-Hong Zhang

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.