Yang Wu

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spanning connectivity in graphs and line graphs with Chvátal-Erdős conditions. Discret. Appl. Math. Wei Xiong, Fengxia Liu, Yang Wu, Mingquan Zhan, Hong-Jian Lai
2024	J	`jnl`	Squares of graphs are optimally (s,t)-supereulerian. Discret. Appl. Math. Yue Yan, Lan Lei, Yang Wu, Hong-Jian Lai
2023	J	`jnl`	Complete family reduction and spanning connectivity in line graphs. Discret. Math. Wei Xiong, Fengxia Liu, Yang Wu, Mingquan Zhan, Hong-Jian Lai
2023	J	`jnl`	Supereulerian regular matroids without small cocircuits. J. Graph Theory Bofeng Huo, Qingsong Du, Ping Li, Yang Wu, Jun Yin, Hong-Jian Lai
2022	J	`jnl`	On the Discret. Math. Aimei Yu, Ping Li, Yang Wu, Hong-Jian Lai
2022	J	`jnl`	Strengthened Ore conditions for (s, t)-supereulerian graphs. Discret. Appl. Math. Lan Lei, Xiaoming Li, Yang Wu, Taoye Zhang, Hong-Jian Lai
2021	J	`jnl`	On s-hamiltonicity of net-free line graphs. Discret. Math. Xiaoling Ma, Yang Wu, Mingquan Zhan, Hong-Jian Lai
2020	J	`jnl`	Unified Spectral Hamiltonian Results of Balanced Bipartite Graphs and Complementary Graphs. Graphs Comb. Muhuo Liu, Yang Wu, Hong-Jian Lai
2019	J	`jnl`	Characterizations of matroids with an element lying in a restricted number of circuits. J. Comb. Optim. Ping Li, Lan Wang, Yang Wu, Hong-Jian Lai
2019	J	`jnl`	Vertex-connectivity and eigenvalues of graphs with fixed girth. Appl. Math. Comput. Ruifang Liu, Hong-Jian Lai, Yingzhi Tian, Yang Wu
2017	J	`jnl`	Panconnected index of graphs. Discret. Math. Hao Li, Hong-Jian Lai, Yang Wu, Shuzhen Zhu
2017	J	`jnl`	Supereulerian width of dense graphs. Discret. Math. Wei Xiong, Jinquan Xu, Zhengke Miao, Yang Wu, Hong-Jian Lai

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.