Qing Xie

33 papers C 2Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Scientometrics
Xinyuan Zhang, Qing Xie
2025 J jnl
Comput. Mater. Continua
Qing Xie, Ruiyun Yu
2025 J jnl
Comput. Mater. Continua
Qing Xie, Ruiyun Yu
2025 J jnl
Neurocomputing
Qing Xie, Zicheng Wang, Yuyuan Fang, Yukai Li
2025 J jnl
Comput. Medical Imaging Graph.
Qiaoling Lin, Fan Yang, Yang Yan, Haoyu Zhang, Qing Xie, Jiaju Zheng, Wenze Yang, Ling Qian, Shaoxing Liu, Weigen Yao, Xiaobo Qu
2025 J jnl
BMC Bioinform.
Qing Xie, Wang Meng, Shili Lin
2024 J jnl
IEEE Trans. Biomed. Eng.
Jinbiao Liu, Jixian Wang, Gansheng Tan, Yixuan Sheng, Linqing Feng, Tao Tang, Xinhang Li, Qing Xie, Honghai Liu, Yina Wei
2024 — conf
ICPR (22)
Bojie Tang, Linxi Hong, Qing Xie, Tao Guo, Xiaolei Du
2024 — conf
NAS
Qing Xie, Zhiye Li, Meiqiong Yuan, Chunhua Li, Ke Zhou
2024 — conf
HCI (16)
Jiangmin Tuo, Chengsheng Tang, Qing Xie, Yi Ye
2023 J jnl
IEEE Trans. Instrum. Meas.
Jia Zeng, Yixuan Sheng, Ziliang Zhou, Yicheng Yang, Jixian Wang, Qing Xie, Honghai Liu
2023 J jnl
J. Syst. Control. Eng.
Qing Xie, Yunce Zhang, Tao Wang, Shiqiang Zhu
2023 J jnl
Scientometrics
Qing Xie, Xinyuan Zhang
2022 — conf
MLMI
Jialue Tian, Zhongmin Qian, Qing Xie, Yongfei Sun, Lei Shi
2022 J jnl
IEEE Trans. Medical Imaging
Jinbiao Liu, Gansheng Tan, Jixian Wang, Yina Wei, Yixuan Sheng, Hui Chang, Qing Xie, Honghai Liu
2022 J jnl
PLoS Comput. Biol.
Qing Xie, Chenggong Han, Victor Jin, Shili Lin
2022 J jnl
Enterp. Inf. Syst.
Qing Xie
2022 J jnl
Neurocomputing
Zhan Su, Yuting Wang, Qing Xie, Ruiyun Yu
2022 J jnl
IEEE Trans. Biomed. Eng.
Yixuan Sheng, Gansheng Tan, Jinbiao Liu, Hui Chang, Jixian Wang, Qing Xie, Honghai Liu
2021 J jnl
Briefings Bioinform.
Chenggong Han, Qing Xie, Shili Lin
2021 J jnl
IEEE Trans. Biomed. Eng.
Jinbiao Liu, Jixian Wang, Gansheng Tan, Yixuan Sheng, Hui Chang, Qing Xie, Honghai Liu
2020 J jnl
Multim. Tools Appl.
Yuchong Gu, Zitao Zeng, Haibin Chen, Jun Wei, Yaqin Zhang, Binghui Chen, Yingqin Li, Yujuan Qin, Qing Xie, Zhuoren Jiang, Yao Lu
2018 J jnl
J. Comput. Phys.
Qing Xie, Zhixiang Xiao, Zhuyin Ren
2018 J jnl
Wirel. Commun. Mob. Comput.
Xiaohui Shang, Aijun Liu, Yida Wang, Qing Xie, Yong Wang
2018 — conf
SSCC
Yang Li, Jing-Ping Qiu, Qing Xie
2018 — conf
SPAC
Yongheng Deng, Qing Xie, Yong Wang
2014 J jnl
PLoS Comput. Biol.
Qing Xie, Qi Liu, Fengbiao Mao, Wanshi Cai, Honghu Wu, Mingcong You, Zhen Wang, Bingyu Chen, Zhongsheng Sun, Jinyu Wu
2014 — conf
ICSAI
Qing Xie, Lin Ge, Zhenyi Wang
2013 — —
Qing Xie
2013 C conf
DASC
Yonghua Yin, Qing Xie, Ying Wang, Dechao Chen, Yunong Zhang
2011 — conf
EMEIT
Qing Xie, Xiaoyao Xie
2010 J jnl
J. Comput.
Jianquan Xie, Qing Xie, Lijun Tian
2009 C conf
IAS
Jianquan Xie, Qing Xie, Chunhua Yang

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.