Zaitang Huang

14 papers Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HG-former: Utilizing multi-scale transformer links prediction based on hypergraph structure. Neurocomputing Ruxin Xue, Jinggui Huang, Zaitang Huang
2026	J	`jnl`	Time-fractional analysis of free convection in a heated square cavity. J. Comput. Des. Eng. Zafar Hayat Khan, Meijiang Zhou, Waqar A. Khan, Alexander Trounev, Zaitang Huang
2025	J	`jnl`	Convergence analysis of a second-order finite difference scheme on Shishkin-type meshes for a singularly perturbed Volterra integro-differential equation. Networks Heterog. Media Jiwen Chen, Li-bin Liu, Guangqing Long, Zaitang Huang
2024	J	`jnl`	An adaptive grid method for a two-parameter singularly perturbed problem with non-smooth data. Appl. Math. Lett. Li-bin Liu, Lei Xu, Yinuo Xu, Zaitang Huang
2023	J	`jnl`	Inherent irreversibility in unsteady magnetohydrodynamic nanofluid flow past a slippery permeable vertical plate with fractional-order derivative. J. Comput. Des. Eng. Zafar Hayat Khan, Oluwole Daniel Makinde, Muhammad Usman, Rashid Ahmad, Waqar A. Khan, Zaitang Huang
2020	J	`jnl`	On the Stability of Symmetric Periodic Orbits of the Elliptic Sitnikov Problem. SIAM J. Appl. Dyn. Syst. Xiuli Cen, Xuhua Cheng, Zaitang Huang, Meirong Zhang
2018	J	`jnl`	Ergodicity and bifurcations for stochastic logistic equation with non-Gaussian Lévy noise. Appl. Math. Comput. Zaitang Huang, Junfei Cao
2018	—	`conf`	Numerical Solution of Singularly Perturbed Convection Delay Problems Using Self-adaptive Differential Evolution Algorithm. ICIC (3) Guangqing Long, Li-bin Liu, Zaitang Huang
2018	J	`jnl`	Rational spectral collocation and differential evolution algorithms for singularly perturbed problems with an interior layer. J. Comput. Appl. Math. Li-bin Liu, Guangqing Long, Zaitang Huang, Aijia Ouyang
2017	J	`jnl`	Numerical solution of a singularly perturbed problem with Robin boundary conditions using particle swarm optimization algorithm. J. Intell. Fuzzy Syst. Li-bin Liu, Guangqing Long, Aijia Ouyang, Zaitang Huang
2011	J	`jnl`	Asymptotically almost periodic solutions of stochastic functional differential equations. Appl. Math. Comput. Junfei Cao, Qi-Gui Yang, Zaitang Huang, Qing Liu
2011	J	`jnl`	Stochastic stability and bifurcation analysis on Hopfield neural networks with noise. Expert Syst. Appl. Zaitang Huang, Qi-Gui Yang, Junfei Cao
2011	J	`jnl`	The stochastic stability and bifurcation behavior of an Internet congestion control model. Math. Comput. Model. Zaitang Huang, Qi-Gui Yang, Junfei Cao
2010	—	`conf`	Stochastic Stability and Bifurcation Analysis on Hopfield Neural Networks with Noise. LSMS/ICSEE (2) Xuewen Qin, Zaitang Huang, Weiming Tan

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.