Yanzhi Wu

30 papers Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Ind. Electron.
Jianfei Lin, Lei Ma, Deqing Huang, Yanzhi Wu, Yongkui Sun, Haonan Hao
2026 J jnl
Syst. Control. Lett.
Zhiyong Li, Yanzhi Wu
2025 J jnl
IEEE Trans. Veh. Technol.
Qingpeng Liang, Yanzhi Wu
2025 J jnl
IEEE Syst. J.
Yanzhi Wu, Deqing Huang, Lei Ma, Jiangping Hu, Linying Xiang, Qingpeng Liang
2025 J jnl
IEEE Trans. Cybern.
Qingpeng Liang, Deqing Huang, Lei Ma, Jiangping Hu, Linying Xiang, Yanzhi Wu
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Xixi Shen, Yanzhi Wu, Jiangping Hu, Qingrui Zhou
2025 J jnl
IEEE Signal Process. Lett.
Qingpeng Liang, Linsong Du, Yanzhi Wu, Zheng Ma
2024 J jnl
IEEE Trans. Control. Netw. Syst.
Qingpeng Liang, Deqing Huang, Lei Ma, Jiangping Hu, Yanzhi Wu, Shuo Wu
2024 J jnl
Sci. China Inf. Sci.
Qingpeng Liang, Deqing Huang, Lei Ma, Jiangping Hu, Yanzhi Wu
2023 J jnl
Sci. China Inf. Sci.
Yanzhi Wu, Qingpeng Liang, Yiyi Zhao, Jiangping Hu, Linying Xiang
2023 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Yanzhi Wu, Lu Liu
2023 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Yanzhi Wu, Jiangping Hu, Linying Xiang, Kaibo Shi, Qingpeng Liang
2023 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Chaoqun Guo, Jiangping Hu, Yanzhi Wu, Sergej Celikovský
2023 J jnl
Inf. Sci.
Qiuzhen Wang, Jiangping Hu, Yanzhi Wu, Yiyi Zhao
2022 J jnl
IEEE Trans. Cybern.
Yanzhi Wu, Lu Liu
2022 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Yanzhi Wu, Jiangping Hu, Linying Xiang, Qingpeng Liang, Kaibo Shi
2022 J jnl
IEEE Trans. Cybern.
Yanzhi Wu, Qingpeng Liang, Jiangping Hu
2021 J jnl
Eur. J. Control
Yanzhi Wu, Qingpeng Liang, Yiyi Zhao, Jiangping Hu, Linying Xiang
2021 J jnl
Int. J. Control
Yanzhi Wu, Jiangping Hu, Yiyi Zhao, Bijoy Kumar Ghosh
2021 J jnl
IEEE Trans. Netw. Sci. Eng.
Yanzhi Wu, Lu Liu
2020 J jnl
J. Frankl. Inst.
Qingpeng Liang, Yanzhi Wu, Jiangping Hu, Yiyi Zhao
2019 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Yanzhi Wu, Yiyi Zhao, Jiangping Hu
2019 J jnl
IEEE Trans. Autom. Control.
Jiangping Hu, Yanzhi Wu, Tao Li, Bijoy K. Ghosh
2018 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Yanzhi Wu, Lu Liu, Jiangping Hu, Gang Feng
2018 J jnl
Neurocomputing
Yanzhi Wu, Yiyi Zhao, Jiangping Hu, Bijoy Kumar Ghosh, Yuping Zhang
2018 J jnl
J. Frankl. Inst.
Yanzhi Wu, Jiangping Hu
2017 — conf
ASCC
Yanzhi Wu, Jiangping Hu, Lixin Gao, Bijoy K. Ghosh
2017 J jnl
J. Frankl. Inst.
Jiangping Hu, Yanzhi Wu
2016 — conf
ECC
Yanzhi Wu, Jiangping Hu, Yiyi Zhao
2016 J jnl
Neurocomputing
Yanzhi Wu, Jiangping Hu, Yuping Zhang, Yong Zeng

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.