Qiliang Zhang

28 papers C 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Eng. Appl. Artif. Intell.
Weiliang Liu, Qianwen Yan, Jinyang Cheng, Qiliang Zhang, Shuai Liu, Changliang Liu
2026 J jnl
J. Frankl. Inst.
Qiliang Zhang, Ze Wang, Jianfang Jiao, Yongyuan Yu
2026 J jnl
Inf. Sci.
Qiliang Zhang, Shuxian Zhao, Jun-e Feng, Biao Wang
2025 J jnl
Adv. Eng. Informatics
Da Tao, Jiaqi Huang, Qiliang Zhang, Tieyan Wang, Xingda Qu
2025 J jnl
J. Supercomput.
Tianming Yu, Liyu Guan, Qiliang Zhang, Zongwei Hu
2025 J jnl
Int. J. Mach. Learn. Cybern.
Yiping Chen, Tianming Yu, Qiliang Zhang
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Qiliang Zhang, Han Wang, Ya Zhao, Ze Wang, Bo Wei, Guang Wang
2025 J jnl
IEEE Trans. Ind. Informatics
Qiliang Zhang, Jianrong Wu, Jiale Xie, Guang Wang, Yu Huang
2025 J jnl
J. Syst. Sci. Complex.
Ze Wang, Qiliang Zhang
2025 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Qiliang Zhang, Ze Wang, Jinfeng Pan, Min Meng, Jun-e Feng
2024 J jnl
Sensors
Jiaqi Huang, Qiliang Zhang, Tingru Zhang, Tieyan Wang, Da Tao
2024 — conf
ICIC (LNAI 2)
Yuxin Tian, Qiliang Zhang, Xiaomeng Li
2024 — conf
PRCV (10)
Chuanjie Fei, Qiliang Zhang, Zijie Cai, Yuhao Jin, Kangjia He, Kuiyuan Zhang
2024 — conf
DSAI
Haitao Zhang, Qiliang Zhang, Zongwei Hu
2024 J jnl
IEEE Trans. Control. Netw. Syst.
Qiliang Zhang, Jun-e Feng, Feng Xiao, Bo Wei
2024 J jnl
IEEE Internet Things J.
Qiliang Zhang, Jinpeng Li, Tom H. Luan, Yiliang Liu, Shunrong Jiang, Yong Zhou
2024 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Zheju Zheng, Qiliang Zhang
2024 J jnl
Microelectron. J.
Haotian Yu, Yaguang Yang, Daibo Zhang, Qiliang Zhang, Zhiqiang Li
2022 J jnl
Signal Process.
Haowei Zhang, Weijian Liu, Qiliang Zhang, Junwei Xie
2021 J jnl
IEEE Trans. Aerosp. Electron. Syst.
Hao-wei Zhang, Junpeng Shi, Qiliang Zhang, Binfeng Zong, Junwei Xie
2020 J jnl
Appl. Math. Comput.
Qiliang Zhang, Jun-e Feng, Biao Wang, Peihe Wang
2020 J jnl
J. Frankl. Inst.
Qiliang Zhang, Jun-e Feng, Yongyi Yan
2020 J jnl
EURASIP J. Adv. Signal Process.
Qing Sun, Qiliang Zhang, Xueyu Huang, Qian Gao
2019 J jnl
Neurocomputing
Qiliang Zhang, Jun-e Feng, Jinfeng Pan, Jianwei Xia
2018 J jnl
Sci. China Inf. Sci.
Qiliang Zhang, Feifei Gao, Qing Sun, Xiaobo Wang
2017 J jnl
计算机科学
Qiliang Zhang, Yu Zhang, Kun Zhou
2017 — conf
SPAWC
Qiliang Zhang, Feifei Gao, Qing Sun, Xiaobo Wang
2016 C conf
PDCAT
Yu Zhang, Jiange Zhang, Qiliang Zhang

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.