Yangzhe Liao

32 papers B 1Misc 1Journal 16Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Internet Things Mag.
Dan Song, Zhiping Xu, Yanglong Sun, Zhibin Gao, Fei-Yun Wu, Yi Han, Yangzhe Liao
2026 J jnl
IEEE Trans. Mob. Comput.
Yangzhe Liao, Yuanyan Song, Dan Song
2025 J jnl
IEEE Trans. Green Commun. Netw.
Yangzhe Liao, Lin Liu, Yong Ma
2025 J jnl
Int. J. Commun. Syst.
Chao Ma, Quan Liu, Yangzhe Liao
2025 J jnl
IEEE Netw.
Yi Han, Jinyi Shao, Ruichun Zhou, Yangzhe Liao, Yi Zhong
2024 J jnl
IEEE Trans. Consumer Electron.
Yangzhe Liao, Xiyu Chen, Jiaying Liu, Yi Han, Ning Xu, Zhenhui Yuan
2024 J jnl
IEEE Trans. Veh. Technol.
Yangzhe Liao, Jiaying Liu, Xiyu Chen, Yi Han, Qingsong Ai, Gabriel-Miro Muntean
2024 J jnl
IEEE Internet Things J.
Yangzhe Liao, Yuanyan Song, Siyu Xia, Yi Han, Ning Xu, Xiaojun Zhai
2024 J jnl
IEEE Internet Things J.
Yangzhe Liao, Yuanyan Song, Shuang Xia, Yi Han, Ning Xu, Xiaojun Zhai, Zhenhui Yuan
2024 — conf
VTC Spring
Yangzhe Liao, Ningna Zhai, Yuanyan Song, Han Wang, Yi Han, Ning Xu
2023 J jnl
IEEE Trans. Green Commun. Netw.
Yangzhe Liao, Xiyu Chen, Shuang Xia, Qingsong Ai, Quan Liu
2023 — conf
VTC2023-Spring
Yangzhe Liao, Yuanyan Song, Lin Liu, Yi Han
2023 — conf
VTC2023-Spring
Yi Han, Ammar A. Q. Aldaif, Huijun Yuan, Yi Zhong, Yi Zheng, Yangzhe Liao, Qing Li
2022 — conf
MSN
Yangzhe Liao, Jiaying Liu, Yi Han, Quan Yu, Qingsong Ai, Quan Liu, Xiaojun Zhai
2022 J jnl
IEEE Trans. Green Commun. Netw.
Qingsong Ai, Xinhui Qiao, Yangzhe Liao, Quan Yu
2022 — conf
MSN
Yangzhe Liao, Shuang Xia, Ke Zhang, Xiaojun Zhai
2021 J jnl
Future Gener. Comput. Syst.
Yangzhe Liao, Xinhui Qiao, Quan Yu, Quan Liu
2021 — conf
MSN
Xiyu Chen, Yangzhe Liao, Qingsong Ai, Ke Zhang
2020 J jnl
IEEE Netw. Lett.
Yangzhe Liao, Liqing Shou, Quan Yu, Qingsong Ai, Quan Liu
2020 Misc conf
UCC
Yu Cheng, Yangzhe Liao, Xiaojun Zhai
2020 J jnl
Comput. Commun.
Yangzhe Liao, Liqing Shou, Quan Yu, Qingsong Ai, Quan Liu
2019 — conf
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Yangzhe Liao, Liqing Shou, Quan Yu, Xiaojun Zhai, Qingsong Ai, Quan Liu
2019 — conf
AHS
Yangzhe Liao, Xinhui Qiao, Liqing Shou, Xiaojun Zhai, Qingsong Ai, Quan Yu, Qian Liu
2019 — conf
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Yi Han, Yafeng Ma, Yangzhe Liao, Gabriel-Miro Muntean
2019 — conf
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Quan Yu, Xinyi Zeng, Yangzhe Liao, Qingsong Ai
2019 — conf
ICC Workshops
Yangzhe Liao, Quan Yu, Xiaojun Zhai, Qingsong Ai, Quan Liu, Tichao Zhou
2018 J jnl
Sensors
Yangzhe Liao, Mark S. Leeson, Qing Cai, Qingsong Ai, Quan Liu
2018 J jnl
IEEE Access
Yangzhe Liao, Yi Han, Quan Yu, Qingsong Ai, Quan Liu, Mark S. Leeson
2017 — conf
CITS
Liting Zhang, Mark S. Leeson, Yangzhe Liao, Matthew D. Higgins
2016 B conf
WiMob
Yangzhe Liao, Mark S. Leeson, Matthew D. Higgins, Chenyao Bai
2015 — conf
CAMAD
Yangzhe Liao, Mark S. Leeson, Matthew D. Higgins
2015 — conf
CAMAD
Yangzhe Liao, Mark S. Leeson, Matthew D. Higgins

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.