Fangzheng Gao

34 papers Journal 34
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Haiyang Chen, Guangdeng Zong, Mouquan Shen, Fangzheng Gao
2024 J jnl
IEEE Trans Autom. Sci. Eng.
Haiyang Chen, Guangdeng Zong, Xiang Liu, Xudong Zhao, Ben Niu, Fangzheng Gao
2024 J jnl
IEEE Trans. Cybern.
Haiyang Chen, Guangdeng Zong, Shun-Feng Su, Fangzheng Gao
2023 J jnl
IEEE Trans. Cybern.
Haiyang Chen, Fangzheng Gao, Guangdeng Zong
2023 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Wenhui Zhang, Fangzheng Gao, Jiacai Huang, Yuqiang Wu
2023 J jnl
IEEE Trans. Autom. Control.
Haiyang Chen, Guangdeng Zong, Fangzheng Gao, Yang Shi
2023 J jnl
IEEE Trans. Ind. Informatics
Haiyang Chen, Guangdeng Zong, Xudong Zhao, Fangzheng Gao, Kaibo Shi
2022 J jnl
Int. J. Syst. Sci.
Fangzheng Gao, Jiacai Huang, Yuqiang Wu, Xianlin Zhao
2022 J jnl
Remote. Sens.
Fangzheng Gao, Wenjun Tang, Jiacai Huang, Haiyang Chen
2022 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Fangzheng Gao, Chih-Chiang Chen, Jiacai Huang, Yuqiang Wu
2021 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Fangzheng Gao, Haiyang Chen, Jiacai Huang, Yuqiang Wu
2021 J jnl
J. Frankl. Inst.
Haiyang Chen, Fangzheng Gao
2021 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Fangzheng Gao, Chenglong Zhu, Jiacai Huang, Yuqiang Wu
2021 J jnl
IEEE Access
Deheng Hou, Fangzheng Gao
2021 J jnl
Appl. Math. Comput.
Hejun Yao, Fangzheng Gao, Jiacai Huang, Yuqiang Wu
2021 J jnl
Inf. Sci.
Fangzheng Gao, Jiacai Huang, Xiaochun Zhu, Yuqiang Wu
2020 J jnl
J. Frankl. Inst.
Fangzheng Gao, Jiacai Huang, Xinxin Shi, Xiaochun Zhu
2020 J jnl
IEEE Access
Jiacai Huang, Peng Ma, Guangxuan Bao, Fangzheng Gao, Xinxin Shi
2019 J jnl
Int. J. Control
Fangzheng Gao, Yuqiang Wu, Yanhong Liu
2019 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Fangzheng Gao, Yuqiang Wu, Zhongcai Zhang
2019 J jnl
Trans. Inst. Meas. Control
Fangzheng Gao, Yanling Shang, Yuqiang Wu, Yanhong Liu
2018 J jnl
Int. J. Syst. Sci.
Fangzheng Gao, Yuqiang Wu, Hongsheng Li, Yanhong Liu
2017 J jnl
Int. J. Syst. Sci.
Fangzheng Gao, Yuqiang Wu
2017 J jnl
Int. J. Control
Fangzheng Gao, Yuqiang Wu
2016 J jnl
Control. Intell. Syst.
Yanling Shang, Fangzheng Gao
2016 J jnl
Int. J. Control
Fangzheng Gao, Yuqiang Wu
2016 J jnl
Int. J. Syst. Sci.
Fangzheng Gao, Yuqiang Wu, Fushun Yuan
2016 J jnl
Int. J. Syst. Sci.
Fangzheng Gao, Yuqiang Wu, Xin Yu
2015 J jnl
Control. Intell. Syst.
Fangzheng Gao, Yuqiang Wu
2015 J jnl
Control. Intell. Syst.
Yanling Shang, Fangzheng Gao, Yuqiang Wu
2015 J jnl
Int. J. Control
Fangzheng Gao, Yuqiang Wu
2013 J jnl
Appl. Math. Comput.
Fangzheng Gao, Fushun Yuan
2013 J jnl
Control. Intell. Syst.
Fangzheng Gao, Fushun Yuan
2012 J jnl
Control. Intell. Syst.
Fangzheng Gao, Fushun 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.

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.