Yajuan Cui

11 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond feature concatenation: Mutual information-driven fusion for multimodal sequential recommendation. Knowl. Based Syst. Haodong Zhu, Chenhao Yang, Hongchan Li, Zhongchuan Sun, Yajuan Cui, Yanpei Liu, Liang Zhu
2025	J	`jnl`	Regret Psychology-Driven Information Propagation and Behavioral Adoption in Complex Social Networks. Symmetry Nana Li, Yajuan Cui, Yang Tian, Chenxi Hu, Xuzhen Zhu, Simin Hu
2023	J	`jnl`	Influence of behavioral adoption preference based on heterogeneous population on multiple weighted networks. Appl. Math. Comput. Yang Tian, Hui Tian, Yajuan Cui, Xuzhen Zhu, Qimei Cui
2023	J	`jnl`	New Geographical Routing Protocol for Three-Dimensional Flying Ad-Hoc Network Based on New Effective Transmission Range. IEEE Trans. Veh. Technol. Yajuan Cui, Hui Tian, Chenju Chen, Wei Ni, Hao Wu, Gaofeng Nie
2022	J	`jnl`	Information Propagation Influenced by Population Heterogeneity Behavioral Adoption on Weighted Network. Complex. Yajuan Cui, Yang Tian, Hui Tian, Gaofeng Nie, Shaoshuai Fan
2021	—	`conf`	The Influence of Quality Factors on the Satisfaction and Continuance Intention of Chinese College Students' Online Learning During the COVID-19 Epidemic. IC4E Yajuan Cui
2020	—	`conf`	Gratitude and Subjective Well-being: the Multiple Mediation of Social Support and Hope. ICETT Yajuan Cui
2019	J	`jnl`	A Novel Information and Energy Cooperation Transmission Scheme in Cognitive Spectrum Sharing-Based D2D Communication Systems. IEEE Access Daqian Zhao, Yajuan Cui, Hui Tian, Ping Zhang
2019	J	`jnl`	Hop Progress Analysis of Two-Layer VANETs With Variant Transmission Range. IEEE Wirel. Commun. Lett. Yajuan Cui, Gaofeng Nie, Hui Tian
2019	J	`jnl`	Weak saturation numbers of K2, t and Kp⋃Kq. AKCE Int. J. Graphs Comb. Yajuan Cui, Liqun Pu
2016	J	`jnl`	Weak saturation number for multiple copies of the complete graph with a star removed. Discret. Appl. Math. Liqun Pu, Yajuan Cui

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.