Yan-Hui Jing

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Distributed Set-Membership Fusion Estimation for Complex Networks With Communication Constraints. IEEE Trans Autom. Sci. Eng. Changzhen Hu, Xiangpeng Xie, Sanbo Ding, Yan-Hui Jing
2024	J	`jnl`	A Periodic Event-Triggered Vehicle Platooning Scheme Against Denial-of-Service Attacks. IEEE Trans. Intell. Veh. Jingxuan Liu, Sanbo Ding, Yan-Hui Jing, Xiangpeng Xie
2024	J	`jnl`	Aperiodic intermittent event-triggered synchronization control for discrete-time complex dynamical networks. Expert Syst. Appl. Zhihong Liang, Sanbo Ding, Yan-Hui Jing, Xiangpeng Xie
2024	J	`jnl`	Distributed Adaptive Platooning Control of Connected Vehicles With Markov Switching Topologies. IEEE Trans. Intell. Transp. Syst. Sanbo Ding, Hongfei Ai, Xiangpeng Xie, Yan-Hui Jing
2024	J	`jnl`	Distributed Set-Membership Estimation Over Sensor Networks via an Event-Driven Dynamic Quantization Scheme. IEEE Syst. J. Yuhan Xie, Sanbo Ding, Yan-Hui Jing, Xiangpeng Xie
2024	J	`jnl`	Dual-Event-Driven Synchronization Control for Discrete-Time Complex Dynamical Networks. IEEE Trans. Circuits Syst. I Regul. Pap. Zhihong Liang, Sanbo Ding, Yan-Hui Jing, Xiangpeng Xie
2024	J	`jnl`	Event-Based Distributed Set-Membership Estimation for Complex Networks: A Coding-Decoding Method. IEEE Trans. Netw. Sci. Eng. Changzhen Hu, Sanbo Ding, Yan-Hui Jing, Xiangpeng Xie
2024	J	`jnl`	Event-triggered synchronization for discrete-time delayed neural networks via aperiodic detection. Expert Syst. Appl. Nannan Rong, Yan-Hui Jing, Sanbo Ding, Xiangpeng Xie
2023	J	`jnl`	Distributed Optimization of Nonlinear Multiagent Systems via Event-Triggered Communication. IEEE Trans. Circuits Syst. II Express Briefs Dan Liu, Mouquan Shen, Yan-Hui Jing, Qing-Guo Wang
2021	J	`jnl`	Adaptive Fuzzy Output Feedback Fault-Tolerant Compensation for Uncertain Nonlinear Systems With Infinite Number of Time-Varying Actuator Failures and Full-State Constraints. IEEE Trans. Cybern. Yan-Hui Jing, Guang-Hong Yang
2020	J	`jnl`	Fuzzy Adaptive Quantized Fault-Tolerant Control of Strict-Feedback Nonlinear Systems With Mismatched External Disturbances. IEEE Trans. Syst. Man Cybern. Syst. Yan-Hui Jing, Guang-Hong Yang
2019	J	`jnl`	Fuzzy Adaptive Fault-Tolerant Control for Uncertain Nonlinear Systems With Unknown Dead-Zone and Unmodeled Dynamics. IEEE Trans. Fuzzy Syst. Yan-Hui Jing, Guang-Hong Yang
2018	J	`jnl`	Adaptive quantized tracking control for a class of uncertain nonlinear systems with guaranteed transient performance. J. Frankl. Inst. Yan-Hui Jing, Guang-Hong Yang
2018	J	`jnl`	Neural-network-based adaptive fault-tolerant tracking control of uncertain nonlinear time-delay systems under output constraints and infinite number of actuator faults. Neurocomputing Yan-Hui Jing, Guang-Hong Yang
2017	J	`jnl`	Adaptive quantised fault-tolerant tracking control of uncertain nonlinear systems with unknown control direction and the prescribed accuracy. Int. J. Syst. Sci. Yan-Hui Jing, Guang-Hong Yang

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.