Zhao Yao

27 papers Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Artif. Intell.
Min Liu, Zhao Yao, Mutian Li, Chenqian Zhao, Jiale Xu, Jinhua Yu
2026 J jnl
Pattern Recognit.
Runze Chen, Hongji Qiu, Zhao Yao, Yaonan Wang, Min Liu
2026 J jnl
Neural Networks
Zhao Yao, Kehui Sun, Huihai Wang
2025 J jnl
Biomed. Signal Process. Control.
Yuan Zheng, Shujun Xia, Zhao Yao, Jianqiao Zhou, Jinhua Yu, Guoqing Wu
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Qinghao Liu, Yuehao Zhu, Min Liu, Zhao Yao, Yaonan Wang, Erik Meijering
2025 J jnl
Expert Syst. Appl.
Chengqian Zhao, Zhao Yao, Zhaoyu Hu, Yuanxin Xie, Yafang Zhang, Yuanyuan Wang, Shuo Li, Jianhua Zhou, Jianqiao Zhou, Yin Wang, Jinhua Yu
2024 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Yangchao Chen, Leonid F. Chernogor, Yu Zheng, Zhejun Jin, Zhongsen Sun, Zhao Yao, Cong Wang, Tian Liu
2024 J jnl
J. Frankl. Inst.
Zhao Yao, Shijie Jiang, Zhenyu Wu
2024 J jnl
CoRR
Hao Cheng, Erjia Xiao, Chengyuan Yu, Zhao Yao, Jiahang Cao, Qiang Zhang, Jiaxu Wang, Mengshu Sun, Kaidi Xu, Jindong Gu, Renjing Xu
2024 J jnl
CoRR
Chengqian Zhao, Zhao Yao, Zhaoyu Hu, Yuanxin Xie, Yafang Zhang, Yuanyuan Wang, Shuo Li, Jianhua Zhou, Jianqiao Zhou, Yin Wang, Jinhua Yu
2023 J jnl
Int. J. Inf. Technol. Syst. Approach
Zhao Yao, Yong Hu, Xingzhi Peng, Jiapan He, Xuming Cheng
2023 J jnl
Sensors
Kunyu Sun, Zhihao Jiang, Chengmeng Wang, Dongxuan Han, Zhao Yao, Weihua Zong, Zhejun Jin, Shandong Li
2022 J jnl
Int. J. Bifurc. Chaos
Zhao Yao, Kehui Sun, Shaobo He
2022 J jnl
Frontiers Inf. Technol. Electron. Eng.
Ying Xie, Zhao Yao, Jun Ma
2021 — conf
CISP-BMEI
Qingmin Wang, Xiaohong Jia, Tianlei Xiao, Zhao Yao, Jianqiao Zhou, Jinhua Yu
2021 J jnl
Neurocomputing
Zhao Yao, Ping Zhou, Zhigang Zhu, Jun Ma
2021 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Zhao Yao, Chun-Ni Wang, Ping Zhou, Jun Ma
2020 J jnl
Appl. Math. Comput.
Zhao Yao, Ping Zhou, Ahmed Alsaedi, Jun Ma
2020 J jnl
J. Cloud Comput.
Xianrui Yang, Yuming Liu, Jiehong Wang, Zhao Yao, Yanping Zhou, Shucun Fu
2020 J jnl
Sensors
Yang Li, Zhao Yao, Wenjing Yue, Chunwei Zhang, Song Gao, Cong Wang
2019 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Chengxi Liu, Debashis Mandal, Zhao Yao, Ming Sun, Jim Todsen, Brian Johnson, Sayfe Kiaei, Bertan Bakkaloglu
2019 J jnl
Frontiers Inf. Technol. Electron. Eng.
Yu-Meng Xu, Zhao Yao, Aatef Hobiny, Jun Ma
2019 — conf
CSIA
Zhao Yao
2019 — conf
CSIA
Hong Zhang, Zhao Yao
2018 J jnl
Sensors
Gyan Raj Koirala, Rajendra Dhakal, Eun Seong Kim, Zhao Yao, Nam-Young Kim
2016 J jnl
J. Sensors
Enzeng Dong, Zhao Yao, Yu Xiao, Junchao Zhu, Chao Chen
2015 J jnl
Microelectron. J.
Yang Li, Cong Wang, Zhao Yao, Nam-Young Kim

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.