Yanming Wu

12 papers B 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Research on stability of modular multi-legged robots with non-isomorphic configurations. Trans. Inst. Meas. Control Junsen Liu, Jinguo Liu, Zhihui Xue, Yanming Wu
2024	J	`jnl`	Output Consensus Control of Multi-Agent Systems With Switching Networks and Incomplete Leader Measurement. IEEE Trans Autom. Sci. Eng. Jian Sun, Jianxin Zhang, Lei Liu, Yanming Wu, Qihe Shan
2023	J	`jnl`	Distributed Resilient Tracking of Multiagent Systems Under Actuator and Sensor Faults. IEEE Trans. Cybern. Yanming Wu, Jinguo Liu, Zhanshan Wang, Zhaojie Ju
2023	J	`jnl`	Three-dimensional low-order fixed-time integrated guidance and control for STT missile with strap-down seeker. J. Frankl. Inst. Guojie Li, Lei Liu, Jinguo Liu, Yanming Wu, Juanping Zhao
2021	J	`jnl`	Fuzzy Adaptive Practical Fixed-Time Consensus for Second-Order Nonlinear Multiagent Systems Under Actuator Faults. IEEE Trans. Cybern. Yanming Wu, Zhanshan Wang
2020	J	`jnl`	Adaptive Fault-Tolerant Consensus Protocols for Multiagent Systems With Directed Graphs. IEEE Trans. Cybern. Zhanshan Wang, Yanming Wu, Lei Liu, Huaguang Zhang
2019	J	`jnl`	Distributed fault detection for nonlinear multi-agent systems under fixed-time observer. J. Frankl. Inst. Yanming Wu, Zhanshan Wang, Zhanjun Huang
2018	J	`jnl`	Leader-follower consensus of multi-agent systems in directed networks with actuator faults. Neurocomputing Yanming Wu, Zhanshan Wang, Sanbo Ding, Huaguang Zhang
2018	J	`jnl`	Optimal Fault-Tolerant Control for Discrete-Time Nonlinear Strict-Feedback Systems Based on Adaptive Critic Design. IEEE Trans. Neural Networks Learn. Syst. Zhanshan Wang, Lei Liu, Yanming Wu, Huaguang Zhang
2017	J	`jnl`	State estimation for recurrent neural networks with unknown delays: A robust analysis approach. Neurocomputing Zhanshan Wang, Jidong Wang, Yanming Wu
2016	B	`conf`	Cluster cooperative output regulation of heterogeneous linear multi-agent systems with multiple leaders. IJCNN Yanming Wu, Zhanshan Wang, Guotao Hui, Huaguang Zhang
2016	J	`jnl`	Stability criterion for delayed neural networks via Wirtinger-based multiple integral inequality. Neurocomputing Sanbo Ding, Zhanshan Wang, Yanming Wu, Huaguang Zhang

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.