Fangfang Sun

13 papers Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Impact of musical stimulation versus resting-state on dynamic functional connectivity in Alzheimer's patients: a time-weighted network modeling study. Biomed. Signal Process. Control. Congyue Zhang, Fangfang Sun, Yong Yang
2024	J	`jnl`	Meta-Learning Enhanced Trade Forecasting: A Neural Framework Leveraging Efficient Multicommodity STL Decomposition. Int. J. Intell. Syst. Bohan Ma, Yushan Xue, Jing Chen, Fangfang Sun
2023	J	`jnl`	Citizen preferences and government chatbot social characteristics: Evidence from a discrete choice experiment. Gov. Inf. Q. Jingrui Ju, Qingguo Meng, Fangfang Sun, Luning Liu, Shweta Singh
2023	J	`jnl`	The "holiday effect" in consumer satisfaction: Evidence from review ratings. Inf. Manag. Lingfei Deng, Qiang Ye, Dapeng Xu, Fangfang Sun
2022	J	`jnl`	Emotions for attention in online consumer reviews: the moderated mediating role of review helpfulness. Ind. Manag. Data Syst. Dapeng Xu, Qiang Ye, Hong Hong, Fangfang Sun
2022	J	`jnl`	Generating CT images in delayed PET scans using a multi-resolution registration convolutional neural network. Biomed. Signal Process. Control. Mingwei Zhai, Yong Yang, Fangfang Sun, Xinhui Wang, Xiaozhuang Wang, Changjie Ke, Chenhao Yu, Hongwei Ye
2022	J	`jnl`	Spatio-Temporal Dynamics of Entropy in EEGS during Music Stimulation of Alzheimer's Disease Patients with Different Degrees of Dementia. Entropy Tingting Wu, Fangfang Sun, Yiwei Guo, Mingwei Zhai, Shanen Yu, Jiantao Chu, Chenhao Yu, Yong Yang
2019	J	`jnl`	Multi-attribute decision making method based on single-valued neutrosophic linguistic variables and prospect theory. J. Intell. Fuzzy Syst. Zixue Guo, Fangfang Sun
2017	—	`conf`	Consumer Preference on Traceable Information of Dairy Products. WHICEB Luning Liu, Tianming Yang, Yuqiang Feng, Fangfang Sun
2016	J	`jnl`	Adaptively Alternative Light-Transport-Model-Based Three-Dimensional Optical Imaging for Longitudinal and Quantitative Monitoring of Gastric Cancer in Live Animal. IEEE Trans. Biomed. Eng. Xueli Chen, Defu Yang, Fangfang Sun, Xu Cao, Jimin Liang
2014	—	`conf`	Network traffic prediction based on Hadoop. WPMC Hongyan Cui, Yuan Yao, Kuo Zhang, Fangfang Sun, Yunjie Liu
2014	—	`conf`	Streaming media traffic characterizations analysis in mobile Internet. WPMC Hongyan Cui, Jia Wang, Fangfang Sun, Yunjie Liu, Kwang-Cheng Chen
2005	J	`jnl`	Efficient and Stable Numerical Methods for the Generalized and Vector Zakharov System. SIAM J. Sci. Comput. Weizhu Bao, Fangfang Sun

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.