Quan Yin

32 papers C 2Journal 24Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
IEEE Trans. Ind. Electron.
Yang Liu, Guoqing Zhang, Jigui Miao, Zijiang Zhao, Quan Yin, Jin Zhao
2024 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Yifeng Shao, Qingyi Wang, Leimin Wang, Quan Yin
2024 — conf
APCCAS
Chenyi Zhu, Quan Yin, Jigui Miao, Jindian Chen
2023 J jnl
IEEE Trans. Wirel. Commun.
Xinge Li, Xiaoya Hu, Rongqing Zhang, Chunjie Zhou, Quan Yin, Liuqing Yang
2023 J jnl
Remote. Sens.
Quan Yin, Yuting Zhang, Weilong Li, Jianjun Wang, Weiling Wang, Irshad Ahmad, Guisheng Zhou, Zhongyang Huo
2023 J jnl
Remote. Sens.
Weilong Li, Jianjun Wang, Yuting Zhang, Quan Yin, Weiling Wang, Guisheng Zhou, Zhongyang Huo
2023 J jnl
Remote. Sens.
Quan Yin, Yuting Zhang, Weilong Li, Jianjun Wang, Weiling Wang, Irshad Ahmad, Guisheng Zhou, Zhongyang Huo
2022 J jnl
IEEE Trans. Ind. Electron.
Haichun Li, Quan Yin, Qingyi Wang, Hui Luo, Yanting Hou
2022 J jnl
Complex.
Hui Luo, Jin Zhao, Quan Yin
2021 J jnl
IEEE Access
Haichun Li, Quan Yin, Qingyi Wang, Jigui Miao, Yanting Hou
2021 J jnl
Complex.
Hui Luo, Quan Yin
2021 J jnl
IEEE Trans. Ind. Electron.
Yuan Yao, Bin Xie, Li Lei, Yesong Li, Quan Yin
2018 J jnl
J. Adv. Comput. Intell. Intell. Informatics
Qingyi Wang, Xuefen Wang, Min Ding, Quan Yin, Haichun Li
2017 C conf
IECON
Hui Luo, Qingyi Wang, Quan Yin
2017 — conf
ICSAI
Xiuli Shao, Doudou Ma, Yiwei Liu, Quan Yin
2015 J jnl
Int. J. Syst. Sci.
Yinfang Song, Quan Yin, Yi Shen
2015 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Leimin Wang, Yi Shen, Quan Yin, Guodong Zhang
2015 J jnl
IEEE Trans. Fuzzy Syst.
Chunjie Zhou, Duc-Cuong Quach, Naixue Xiong, Shuang Huang, Qi Zhang, Quan Yin, Athanasios V. Vasilakos
2015 J jnl
Neural Networks
Guodong Zhang, Yi Shen, Quan Yin, Junwei Sun
2015 J jnl
Neural Process. Lett.
Guan Wang, Yi Shen, Quan Yin
2014 — conf
BIC-TA
Hui Luo, Yunfei Lv, Quan Yin, Huajun Zhang
2014 — conf
BIC-TA
Quan Yin, Ronghui Lu, Qingyi Wang, Hui Luo, Hu Guo
2013 J jnl
Neurocomputing
Guan Wang, Quan Yin, Yi Shen
2013 J jnl
Inf. Sci.
Guodong Zhang, Yi Shen, Quan Yin, Junwei Sun
2013 J jnl
Circuits Syst. Signal Process.
Guan Wang, Quan Yin, Yi Shen, Feng Jiang
2013 J jnl
Appl. Math. Lett.
Yinfang Song, Yi Shen, Quan Yin
2013 J jnl
J. Frankl. Inst.
Yinfang Song, Quan Yin, Yi Shen, Guan Wang
2012 J jnl
IEEE Trans. Syst. Man Cybern. Part C
Chunjie Zhou, Yu-Feng Shi, Shuang-Hua Yang, Quan Yin, Yuanqing Qin
2012 C conf
ICARCV
Duc-Cuong Quach, Quan Yin, Yu-Feng Shi, Chunjie Zhou
2012 J jnl
Int. J. Model. Identif. Control.
Yu-Feng Shi, Chunjie Zhou, Xiongfeng Huang, Quan Yin
2008 — conf
CSSE (2)
Jun Zhu, Quan Yin, Rui Zhu, Changguo Guo, Huaimin Wang, Quanyuan Wu
2008 — conf
ICYCS
Jun Zhu, Changguo Guo, Quan Yin, Jianlu Bo, Quanyuan Wu

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.