Zeyi Liu

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Defense Strategy for Social Network Fake News Under Non-Real-Time Data Collection and Disjointed Decision Making. IEEE Trans. Netw. Sci. Eng. Zeyi Liu, Huaguang Zhang, Jiayue Sun, Le Wang
2026	J	`jnl`	Energy-Efficiency-Aware Fixed-Time Consensus Control for Distributed PMSM Systems. IEEE Trans. Fuzzy Syst. Zeyi Liu, Huaguang Zhang, Jiayue Sun, Zhihong Liang
2026	J	`jnl`	Homomorphic-Encryption-Based Secondary Voltage Regulation Secure Strategy for Multimicrogrids With Self-Updating Final Boundary Funnel Constraint. IEEE Trans. Syst. Man Cybern. Syst. Zeyi Liu, Huaguang Zhang, Jiayue Sun, Ying Yan
2025	J	`jnl`	Adaptive Neural Control of Superheated Steam System in Ultra-Supercritical Units With Output Constraints Based on Disturbance Observer. IEEE Trans. Circuits Syst. I Regul. Pap. Zhongrui Zhou, Juan Zhang, Yingchun Wang, Dongsheng Yang, Zeyi Liu
2025	J	`jnl`	Adaptive tracking constrained control for nonlinear systems with parameter estimator triggering: A composite error/state-dependent method. Inf. Sci. Le Wang, Huaguang Zhang, Juan Zhang, Zeyi Liu
2025	J	`jnl`	All Agents Connectivity-Preserving and Error-Based Cooperative Learning Control With Data-Filter Memory-Based Event-Triggered Strategy. IEEE Trans Autom. Sci. Eng. Zeyi Liu, Huaguang Zhang, Jiayue Sun, Lei Wan
2025	J	`jnl`	Full Channel Multi-Chaotic-State Encryption Strategy and Error-Feedback-Boundary Output Constraint Method for Multiagent Systems. IEEE Trans Autom. Sci. Eng. Zeyi Liu, Huaguang Zhang, Jiayue Sun, Lei Wan
2025	J	`jnl`	Full-Agent Connectivity-Preserving Secure Strategy Under Multi-Frequency Deception Attacks. IEEE Trans. Signal Inf. Process. over Networks Chang Liu, Zeyi Liu, Hongjing Liang, Md Altab Hossin
2025	J	`jnl`	Pinning-Based Neural Control for Multiagent Systems With Self-Regulation Intermediate Event-Triggered Method. IEEE Trans. Neural Networks Learn. Syst. Hongru Ren, Zeyi Liu, Hongjing Liang, Hongyi Li
2025	J	`jnl`	Secure Control for Photovoltaic Energy DC Circuit Conversion Systems With Modulated Chaotic Masking and Adaptive Weighting Techniques. IEEE Trans. Circuits Syst. I Regul. Pap. Zeyi Liu, Jiayue Sun, Xiaohui Yue, Hongjing Liang, Huaguang Zhang
2024	J	`jnl`	Event-Based Fixed-Time Fuzzy Containment Fault-Tolerant Control for Multiagent Systems With Positive Odd Rational Powers. IEEE Trans. Fuzzy Syst. Jiawei Ma, Huaguang Zhang, Juan Zhang, Zeyi Liu
2024	J	`jnl`	Nussbaum-Based Adaptive Neural Networks Tracking Control for Nonlinear PDE-ODE Systems Subject to Deception Attacks. IEEE Trans. Cybern. Lei Wan, Huaguang Zhang, Jiayue Sun, Zeyi Liu, Xiangpeng Xie
2022	J	`jnl`	Dual-Condition event-Triggered distributed adaptive neural control for multi-Agent systems with nonlinear fault. J. Frankl. Inst. Zeyi Liu, Hong Xue, Hongjing Liang, Ying Wu
2022	J	`jnl`	Event-triggered funnel control for network systems with unknown dynamic leader based on BP neural networks. Neurocomputing Zeyi Liu, Hongjing Liang, Hong Xue

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.