Ran Zhang - RankMe

37 papers Journal 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpolated Galerkin finite elements on rectangular and cuboid meshes for the Poisson equation. Numer. Algorithms Xiuli Wang, Ran Zhang, Shangyou Zhang
2026	J	`jnl`	Weak Convergence of Drift-Implicit Euler and Spectral Galerkin Approximation to Stochastic Allen-Cahn Equation Driven by Multiplicative Trace-Class Noise. J. Sci. Comput. Minxing Zhang, Yongkui Zou, Ran Zhang, Yanzhao Cao
2025	J	`jnl`	Energy Stability and Maximum Principle of Skeletal Finite Element Method for Allen-Cahn Equation with Exponential Time Differencing Schemes. J. Sci. Comput. Mingze Qin, Qilong Zhai, Ran Zhang
2025	J	`jnl`	Rectangular divergence-free finite elements for axisymmetric Stokes equations. J. Sci. Comput. Xuefeng Liu, Ran Zhang, Shangyou Zhang, Zhimin Zhang
2025	J	`jnl`	Splitting Finite Element Approximations for Quasi-Static Electroporoelasticity Equations. J. Sci. Comput. Xuan Liu, Yongkui Zou, Ran Zhang, Yanzhao Cao, Amnon J. Meir
2025	J	`jnl`	Splitting finite element approximations for quasi-static electroporoelasticity equations. CoRR Xuan Liu, Yongkui Zou, Ran Zhang, Yanzhao Cao, Amnon J. Meir
2025	J	`jnl`	Weak Convergence Analysis for the Finite Element Approximation to Stochastic Allen-Cahn Equation Driven by Multiplicative White Noise. CoRR Minxing Zhang, Yongkui Zou, Ran Zhang, Yanzhao Cao
2024	J	`jnl`	Convergent finite elements on arbitrary meshes, the WG method. CoRR Ran Zhang, Shangyou Zhang
2023	J	`jnl`	A Locking-Free Weak Galerkin Finite Element Method for Linear Elasticity Problems. CoRR Fuchang Huo, Ruishu Wang, Yanqiu Wang, Ran Zhang
2023	J	`jnl`	A Posteriori Error Estimator for Weak Galerkin Finite Element Method for Stokes Problem Using Diagonalization Techniques. Comput. Methods Appl. Math. Jiachuan Zhang, Ran Zhang, Jingzhi Li
2022	J	`jnl`	A Posteriori Estimates of Taylor-Hood Element for Stokes Problem Using Auxiliary Subspace Techniques. CoRR Jiachuan Zhang, Ran Zhang, Xiaoshen Wang
2022	J	`jnl`	A Posteriori Estimates of Taylor-Hood Element for Stokes Problem Using Auxiliary Subspace Techniques. J. Sci. Comput. Jiachuan Zhang, Ran Zhang, Xiaoshen Wang
2022	J	`jnl`	Splitting-up Spectral Method for Nonlinear Filtering Problems with Correlation Noises. J. Sci. Comput. Fengshan Zhang, Yongkui Zou, Shimin Chai, Ran Zhang, Yanzhao Cao
2022	J	`jnl`	The weak Galerkin finite element method for Stokes interface problems with curved interface. CoRR Lin Yang, Hui Peng, Qilong Zhai, Ran Zhang
2021	J	`jnl`	A high order conservative flux optimization finite element method for steady convection-diffusion equations. J. Comput. Phys. Yujie Liu, Yue Feng, Ran Zhang
2021	J	`jnl`	A weak Galerkin-mixed finite element method for the Stokes-Darcy problem. CoRR Hui Peng, Qilong Zhai, Ran Zhang, Shangyou Zhang
2020	J	`jnl`	A Skeletal Finite Element Method Can Compute Lower Eigenvalue Bounds. SIAM J. Numer. Anal. Carsten Carstensen, Qilong Zhai, Ran Zhang
2020	J	`jnl`	A locking-free solver for linear elasticity on quadrilateral and hexahedral meshes based on enrichment of Lagrangian elements. Comput. Math. Appl. Graham Harper, Ruishu Wang, Jiangguo Liu, Simon Tavener, Ran Zhang
2020	J	`jnl`	A symmetric weak Galerkin method for solving non-divergence form elliptic equations. J. Comput. Appl. Math. Qilong Zhai, Tian Tian, Ran Zhang, Shangyou Zhang
2020	J	`jnl`	Analysis of continuous collocation solutions for nonlinear functional equations with vanishing delays. Comput. Appl. Math. Jian Tian, Hehu Xie, Kai Yang, Ran Zhang
2019	J	`jnl`	A High order Conservative Flux Optimization Finite Element Method for Diffusion Equations. CoRR Yujie Liu, Yue Feng, Ran Zhang
2019	J	`jnl`	A weak Galerkin finite element scheme for the Cahn-Hilliard equation. Math. Comput. Junping Wang, Qilong Zhai, Ran Zhang, Shangyou Zhang
2019	J	`jnl`	Acceleration of Weak Galerkin Methods for the Laplacian Eigenvalue Problem. J. Sci. Comput. Qilong Zhai, Hehu Xie, Ran Zhang, Zhimin Zhang
2019	J	`jnl`	Polynomial preserving recovery for a class of weak Galerkin finite element methods. J. Comput. Appl. Math. Ruishu Wang, Ran Zhang, Xiuli Wang, Jiwei Jia
2018	J	`jnl`	A Systematic Study on Weak Galerkin Finite Element Methods for Second Order Elliptic Problems. J. Sci. Comput. Junping Wang, Ruishu Wang, Qilong Zhai, Ran Zhang
2018	J	`jnl`	A new modified weak Galerkin finite element scheme for solving the stationary Stokes equations. J. Comput. Appl. Math. Tian Tian, Qilong Zhai, Ran Zhang
2018	J	`jnl`	Discrete maximum principle for the J. Comput. Phys. Junping Wang, Xiu Ye, Qilong Zhai, Ran Zhang
2017	J	`jnl`	A weak Galerkin finite element scheme with boundary continuity for second-order elliptic problems. Comput. Math. Appl. Qilong Zhai, Xiu Ye, Ruishu Wang, Ran Zhang
2016	J	`jnl`	A locking-free weak Galerkin finite element method for elasticity problems in the primal formulation. J. Comput. Appl. Math. Chunmei Wang, Junping Wang, Ruishu Wang, Ran Zhang
2016	J	`jnl`	A weak Galerkin finite element scheme for solving the stationary Stokes equations. J. Comput. Appl. Math. Ruishu Wang, Xiaoshen Wang, Qilong Zhai, Ran Zhang
2016	J	`jnl`	The weak Galerkin method for solving the incompressible Brinkman flow. J. Comput. Appl. Math. Xiuli Wang, Qilong Zhai, Ran Zhang
2015	J	`jnl`	A Weak Galerkin Finite Element Scheme for the Biharmonic Equations by Using Polynomials of Reduced Order. J. Sci. Comput. Ran Zhang, Qilong Zhai
2015	J	`jnl`	A fast numerical method for the valuation of American lookback put options. Commun. Nonlinear Sci. Numer. Simul. Haiming Song, Qi Zhang, Ran Zhang
2015	J	`jnl`	An efficient finite element method for pricing American multi-asset put options. Commun. Nonlinear Sci. Numer. Simul. Ran Zhang, Qi Zhang, Haiming Song
2012	J	`jnl`	Maximum Principles for P1-Conforming Finite Element Approximations of Quasi-linear Second Order Elliptic Equations. SIAM J. Numer. Anal. Junping Wang, Ran Zhang
2011	J	`jnl`	Analysis of continuous collocation solutions for a kind of Volterra functional integral equations with proportional delay. J. Comput. Appl. Math. Kai Yang, Ran Zhang
2011	J	`jnl`	Collocation Methods for General Volterra Functional Integral Equations with Vanishing Delays. SIAM J. Sci. Comput. Hehu Xie, Ran Zhang, Hermann Brunner

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.