Qingping Liu

31 papers B 2Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neurocomputing
Zuling Wang, Qingping Liu, Kao Xu, Yufeng Feng, Gang Xiao, Qi Li, Weiguo Sheng
2025 J jnl
Algorithms
Tianyan Ding, Zuling Wang, Qingping Liu, Yongtao Wang, Le Yan
2025 J jnl
Appl. Math. Lett.
Binfang Gao, Xiaoxia Yang, Qingping Liu
2025 J jnl
Comput. Electron. Agric.
Chao Chen, Lili Zhou, Dongmei Li, Qingping Liu, Tingting Zhang, Jiawei Wen, Yang He
2025 J jnl
Appl. Math. Lett.
Zixin Zhang, Qingping Liu
2024 J jnl
Int. J. Digit. Earth
Yuanzheng Duan, Xuesheng Zhao, Wenbin Sun, Qingping Liu, Mengmeng Qin
2024 J jnl
ISPRS Int. J. Geo Inf.
Qingping Liu, Xuesheng Zhao, Yuanzheng Duan, Mengmeng Qin, Wenlan Xie, Wenbin Sun
2023 B conf
CEC
Hao Yan, Lu Zhang, Xiaoyu Wang, Qingping Liu, Mengjun Gu, Weiguo Sheng
2023 J jnl
Sensors
Jiankun Peng, Jianren Zhou, Chengli Sun, Qingping Liu
2023 J jnl
IEEE Geosci. Remote. Sens. Lett.
Qingping Liu, Yongqiang Cheng, Kaicheng Cao, Kang Liu, Hongqiang Wang
2023 J jnl
Comput. Biol. Medicine
Qingping Liu, Lunlun Zhang, Gao Ren, Beiji Zou
2022 B conf
CEC
Qingping Liu, Tingting Pang, Kaige Chen, Zuling Wang, Weiguo Sheng
2022 J jnl
IEEE Internet Things J.
Jianqiu Wang, Kang Liu, Qingping Liu, Kaicheng Cao, Yongqiang Cheng, Hongqiang Wang
2022 J jnl
Inf. Sci.
Shizhang Chen, Chongyang Ning, Qian Liu, Qingping Liu
2022 J jnl
IEEE Signal Process. Lett.
Kaicheng Cao, Yongqiang Cheng, Qingping Liu, Hongqiang Wang
2022 J jnl
IEEE Geosci. Remote. Sens. Lett.
Qingping Liu, Yongqiang Cheng, Kaicheng Cao, Kang Liu, Hongqiang Wang
2021 — conf
ICNSC
Qingping Liu, Dongsheng Guo
2020 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Ya-Li Zhi, Yong He, Min Wu, Qingping Liu
2019 — conf
MICCAI (3)
Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song, Ze Wang, Jun Shi
2019 J jnl
IEEE J. Biomed. Health Informatics
Jun Shi, Zheng Li, Shihui Ying, Chaofeng Wang, Qingping Liu, Qi Zhang, Pingkun Yan
2019 J jnl
Inf. Sci.
Ya-Li Zhi, Yong He, Min Wu, Qingping Liu
2018 J jnl
Neural Networks
Wen-Juan Lin, Yong He, Min Wu, Qingping Liu
2017 — conf
ICNC-FSKD
Dongsheng Guo, Qingping Liu, Zhaozhu Su, Zhijing Huang
2017 J jnl
BMC Bioinform.
Edison Ong, Jiangan Xie, Zhaohui Ni, Qingping Liu, Sirarat Sarntivijai, Yu Lin, Daniel J. Cooper, Raymond Terryn, Vasileios Stathias, Caty Chung, Stephan C. Schürer, Yongqun He
2017 J jnl
BMC Syst. Biol.
Qingping Liu, Jiahao Wang, Yan Zhu, Yongqun He
2016 — conf
ICBO/BioCreative
Edison Ong, Jiangan Xie, Zhaohui Ni, Qingping Liu, Yu Lin, Vasileios Stathias, Caty Chung, Stephan C. Schürer, Yongqun He
2015 J jnl
Appl. Math. Lett.
Ling-Ling Xue, Qingping Liu, Sen-Yue Lou
2015 J jnl
Int. J. Wirel. Mob. Comput.
Zhonghua Wang, Chunyong Li, Qingping Liu
2015 J jnl
Int. J. Wirel. Mob. Comput.
Zhonghua Wang, Yuan Liao, Qingping Liu, Chunyong Li
2015 J jnl
Micromachines
Yue Wu, Jingshi Dong, Xinbo Li, Zhigang Yang, Qingping Liu
2012 J jnl
Syst. Control. Lett.
Chongyang Ning, Yong He, Min Wu, Qingping Liu, Jin-Hua She

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.