Zhen Li

13 papers Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AJF-ABL: A Python package for software defect prediction based on AST joint features and the Attention-Bi-LSTM. SoftwareX Zhen Li, Wentao Zhu, Lingzhong Meng, Weilin Sun, Guangzhou Yang
2026	J	`jnl`	Research on warship system modeling and recovery based on hybrid improved ant colony optimization and genetic algorithm. Evol. Syst. Zhen Li, LuHong Wang
2025	J	`jnl`	Enhanced Object Detection Algorithms in Complex Environments via Improved CycleGAN Data Augmentation and AS-YOLO Framework. J. Imaging Zhen Li, Yuxuan Wang, Lingzhong Meng, Wenjuan Chu, Guang Yang
2025	J	`jnl`	Research on Warship System Resilience Based on Intelligent Recovery with Improved Ant Colony Optimization. Algorithms Zhen Li, LuHong Wang, Lingzhong Meng, Guang Yang
2022	J	`jnl`	A Systematic Research on System Recovery Based on Improved Genetic Algorithm and Quotient Resilience Model Under Attack and Damage. Int. J. Comput. Intell. Syst. Zhen Li, Lu Tian, Chenxu Sun, Yumei Wu, Dongsheng Wang, Hong Miao
2021	—	`conf`	Safety Modeling and Analysis of Undercarriage System Based on Cross-Verification of FHA and PHA. CSSE Jie Pu, Kangkang Dou, Zhen Li, Zhengqi Jiang
2021	J	`jnl`	Safety Ontology Modeling and Verification on MIS of Ship-Building and Repairing Enterprise. KSII Trans. Internet Inf. Syst. Yumei Wu, Zhen Li, LanJie Zhao, Zhengwei Yu, Hong Miao
2021	J	`jnl`	Software Defect Prediction Based on Hybrid Swarm Intelligence and Deep Learning. Comput. Intell. Neurosci. Zhen Li, Tong Li, Yumei Wu, Yang Liu, Hong Miao, Dongsheng Wang
2021	J	`jnl`	Software Defects Prediction Based on Hybrid Particle Swarm Optimization and Sparrow Search Algorithm. IEEE Access Yang Liu, Zhen Li, Dongsheng Wang, Hong Miao, Zhaobin Wang
2021	—	`conf`	Testability Evaluation by Multi-sources Bayes Method Applied in Torpedo Weapon System with Improved Jaccard Similarity. ACAI Kangkang Dou, Mengyuan Zhan, Zhen Li, Xiankang Chen
2020	J	`jnl`	Parameter Estimation of Software Reliability Model and Prediction Based on Hybrid Wolf Pack Algorithm and Particle Swarm Optimization. IEEE Access Zhen Li, Yang Liu, Dongsheng Wang, Wei Zheng
2020	J	`jnl`	System Modeling and Fault Tree Analysis Based on AltaRica. IEEE Access Zhen Li, Zhengqi Jiang, Dongsheng Wang, Zhaobin Wang
2019	J	`jnl`	Using Hybrid Algorithm to Estimate and Predicate Based on Software Reliability Model. IEEE Access Zhen Li, Miaomiao Yu, Dongsheng Wang, Haifeng Wei

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.