Zhenghua Xin - RankMe

12 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hybrid resource allocation framework for large-scale multi-objective optimization. Swarm Evol. Comput. Debao Chen, Xiaopin Qiu, Feng Zou, Fangzhen Ge, Yuhui Zheng, Zhenghua Xin
2025	J	`jnl`	A large-scale multi-objective optimization framework based on a dual-space attention mechanism. Swarm Evol. Comput. Xu Li, Debao Chen, Feng Zou, Fangzhen Ge, Zhenghua Xin
2025	J	`jnl`	Image Encryption Algorithm Based on an Improved Tent Map and Dynamic DNA Coding. Entropy Wei Zhou, Xianwei Li, Zhenghua Xin
2025	—	`conf`	Research on Blockchain Privacy Preservation in Healthcare Systems. ISSSR Keke Wang, Pengfei Lu, Zhenghua Xin
2024	—	`conf`	Exploring Semantic Links in Bibliographic Network-based Citation Recommendation. ICCVIT Xuejun Ren, Liangyi Hu, Lin Cui, Dejun Li, Yang Liu, Zhenghua Xin
2024	—	`conf`	Nodeseq2vec: Node Sequence Representation Learning. ICCVIT Yang Liu, Dejun Li, Liangyi Hu, Zhenghua Xin, Xuejun Ren, Jian Wang
2022	J	`jnl`	MGPOOL: multi-granular graph pooling convolutional networks representation learning. Int. J. Mach. Learn. Cybern. Zhenghua Xin, Guolong Chen, Jie Chen, Shu Zhao, Zongchao Wang, Aidong Fang, Zhenggao Pan, Lin Cui
2019	J	`jnl`	A greedy constructing tree algorithm for shortest path in perpetual wireless recharging wireless sensor network. J. Supercomput. Guolong Chen, Zhenghua Xin, Han Li, Tonghai Zhu, Maodi Wang, Yaxiang Liu, Sanqiang Wei
2019	J	`jnl`	Design and development of smart fishing poles using ICT enabled systems. Int. J. Inf. Commun. Technol. Zhenghua Xin, Ma Lu, Guolong Chen, Hong Li, Qixiang Song, Meng Xiao, Liangyi Hu
2019	J	`jnl`	Marc: Multi-Granular Representation Learning for Networks Based on the 3-Clique. IEEE Access Zhenghua Xin, Jie Chen, Guolong Chen, Shu Zhao
2016	J	`jnl`	A new method of applying the ETC technology to the underground parking lot in the supermarket. Int. J. Reason. based Intell. Syst. Zhenghua Xin, Guolong Chen
2016	J	`jnl`	The system of protecting eyes and saving energy based on Android. Int. J. Reason. based Intell. Syst. Zhenghua Xin, Guolong Chen, Qixiang Song, Hong Li, Liangyi Hu, Quande Dong, Hongli Yuan

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.