Lei Wang

52 papers C 1Journal 47Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Veh. Technol.
Guojiang Shen, Yuwei He, Xiangjie Kong, Zhanhao Ji, Lei Wang, Junjie Zhou, Linglong Hu
2025 J jnl
IEEE Trans. Autom. Control.
Shuyuan Zhang, Lei Wang, Bai Xue, Qing-Guo Wang
2025 J jnl
IEEE Trans. Ind. Informatics
Yanshan Gao, Ying Cheng, Fei Tao, Lei Wang
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Jize Ren, Nanfeng Song, Xian Li, Lei Wang
2024 J jnl
IEEE Trans. Control. Netw. Syst.
Shuyuan Zhang, Lei Wang, Bai Xue, Kexin Liu, Wei Wang
2024 J jnl
IEEE Trans. Autom. Control.
Shuyuan Zhang, Lei Wang, Bai Xue, Deyuan Meng, Qing-Guo Wang
2024 J jnl
IEEE Trans. Ind. Informatics
Zhen Han, Wei Wang, Changyun Wen, Lei Wang
2024 J jnl
Big Data Res.
Zhenzhen Zhao, Guojiang Shen, Lei Wang, Xiangjie Kong
2024 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Quanyi Liang, Zhikun She, Lei Wang, Qing-Guo Wang
2024 C conf
ACC
Taoran Wu, Dejin Ren, Shuyuan Zhang, Lei Wang, Bai Xue
2024 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Zhen Han, Wei Wang, Maopeng Ran, Changyun Wen, Lei Wang
2023 J jnl
J. Frankl. Inst.
Shuyuan Zhang, Lei Wang, Bai Xue, Chanying Li, Qing-Guo Wang
2023 J jnl
Int. J. Prod. Res.
Ying Cheng, Yanshan Gao, Lei Wang, Fei Tao, Qing-Guo Wang
2023 J jnl
IEEE Trans. Autom. Control.
Changyuan Zhao, Shuyuan Zhang, Lei Wang, Bai Xue
2023 J jnl
CoRR
Taoran Wu, Dejin Ren, Shuyuan Zhang, Lei Wang, Bai Xue
2023 J jnl
IEEE Control. Syst. Lett.
Shuyuan Zhang, Shizhong Song, Lei Wang, Bai Xue
2023 — conf
COMPLEX NETWORKS (4)
Shuyuan Zhang, Lei Wang, Wei Wang
2022 J jnl
IEEE Trans. Ind. Informatics
Yongji Jiang, Weijie Feng, Lei Wang, Xiangjie Kong, Qing-Guo Wang
2022 J jnl
Appl. Intell.
Xin-Li Xu, Yun-Yue Xiao, Xu-Hua Yang, Lei Wang, Yan-Bo Zhou
2022 J jnl
IEEE Trans. Cybern.
Shuyuan Zhang, Lei Wang, Quanyi Liang, Zhikun She, Qing-Guo Wang
2021 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Lei Wang, Quanyi Liang, Zhikun She, Jinhu Lü, Qing-Guo Wang
2021 J jnl
Trans. Inst. Meas. Control
Qing-Guo Wang, Tao Liu, Zhuo-Yun Nie, Shoulin Hao, Xuhui Ren, Dan Zhang, Lei Wang
2021 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Shuyuan Zhang, Lei Wang, Haihui Wang, Bai Xue
2021 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Xu-Hua Yang, Wen-Hao Feng, Guang Chen, Lei Wang, Tao Zou, Peng Jiang
2021 — conf
ICCAIS
Shuyuan Zhang, Lei Wang, Qing-Guo Wang
2020 J jnl
J. Comput. Inf. Sci. Eng.
Yonghe Su, Fei Tao, Jian Jin, Tian Wang, Qingguo Wang, Lei Wang
2020 J jnl
IEEE Trans. Circuits Syst.
Xu-Hua Yang, Wen-Hao Feng, Yongxiang Xia, Lei Wang, Jie Xiao, Si-Cheng Gao
2019 J jnl
J. Frankl. Inst.
Lina Sun, Ning Huang, Lei Wang, Qing-Guo Wang, Yue Zhang
2019 J jnl
J. Frankl. Inst.
Tianrong Weng, Lei Wang, Zhikun She, Quanyi Liang
2019 J jnl
CoRR
Tai-Shan Lou, Nan-Hua Chen, Hua Xiong, Ya-xi Li, Lei Wang
2019 J jnl
IEEE Trans. Ind. Informatics
Lei Wang, Yanan Bai, Ning Huang, Qing-Guo Wang
2019 J jnl
J. Frankl. Inst.
Michael Z. Q. Chen, Housheng Su, Lei Wang, Xiaofan Wang, Mario di Bernardo, Guanrong Chen
2018 J jnl
IEEE Access
Pengfei Shao, Lei Wang, Wei Qian, Qing-Guo Wang, Xuhua Yang
2018 J jnl
IEEE Trans Autom. Sci. Eng.
Lei Wang, Chanying Li, Michael Z. Q. Chen, Qing-Guo Wang, Fei Tao
2018 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Wei Qian, Lei Wang, Michael Z. Q. Chen
2018 J jnl
J. Frankl. Inst.
Wei Qian, Manman Yuan, Lei Wang, Yonggang Chen, Junqi Yang
2017 J jnl
SIAM J. Control. Optim.
Quanyi Liang, Zhikun She, Lei Wang, Michael Z. Q. Chen, Qing-Guo Wang
2017 J jnl
Neurocomputing
Lei Wang, Yingbin Fu, Michael Z. Q. Chen, Xuhua Yang
2017 J jnl
J. Frankl. Inst.
Tai-Shan Lou, Lei Wang, Housheng Su, Maowen Nie, Ning Yang, Yanfeng Wang
2017 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Quanyi Liang, Zhikun She, Lei Wang, Housheng Su
2017 — conf
IINTEC
Qing-Guo Wang, Zhuo-Yun Nie, Dan Zhang, Lei Wang
2017 J jnl
Pattern Recognit. Lett.
Xu-Hua Yang, Qin-Peng Zhu, Yujiao Huang, Jie Xiao, Lei Wang, Fei-Chang Tong
2016 J jnl
Neurocomputing
Miaomiao Zhao, Housheng Su, Miaomiao Wang, Lei Wang, Michael Z. Q. Chen
2016 J jnl
IEEE Trans. Cybern.
Chao Yu, Qing-Guo Wang, Dan Zhang, Lei Wang, Jiangshuai Huang
2015 J jnl
Int. J. Syst. Sci.
Lei Wang, Wei Qian, Qing-Guo Wang
2015 J jnl
Autom.
Lei Wang, Michael Z. Q. Chen, Qing-Guo Wang
2015 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Lei Wang, Sheng-Yong Chen, Qing-Guo Wang
2014 J jnl
Autom.
Wei-Jie Feng, Lei Wang, Qing-Guo Wang
2013 J jnl
Int. J. Syst. Sci.
Lei Wang, Qing-Guo Wang
2013 — conf
ICCA
Lei Wang, Song-lin Yan, Qing-Guo Wang
2013 J jnl
J. Frankl. Inst.
Lei Wang, Wei Qian, Qing-Guo Wang
2011 J jnl
J. Zhejiang Univ. Sci. C
Lei Wang, Huan Shi, Youxian Sun

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.