Yanchao Shi

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Architecture-Optimization Co-Design for Physics-Informed Neural Networks Via Attentive Representations and Conflict-Resolved Gradients. CoRR Pancheng Niu, Jun Guo, Qiaolin He, Yongming Chen, Yanchao Shi
2026	J	`jnl`	Finite-time synchronisation of quaternion-valued memristor-based Cohen-Grossberg neural networks via event-triggered control by direct method. Int. J. Control Yifeng Chen, Yanchao Shi, Jun Guo, Jingling Cai
2025	J	`jnl`	Global exponential stability for quaternion-valued neural networks with time-varying delays by matrix measure method. Comput. Appl. Math. Yifeng Chen, Yanchao Shi, Jun Guo, Jingling Cai
2025	J	`jnl`	Improved physics-informed neural network in mitigating gradient-related failures. Neurocomputing Pancheng Niu, Jun Guo, Yongming Chen, Yuqian Zhou, Minfu Feng, Yanchao Shi
2024	J	`jnl`	Improved physics-informed neural network in mitigating gradient related failures. CoRR Pancheng Niu, Yongming Chen, Jun Guo, Yuqian Zhou, Minfu Feng, Yanchao Shi
2024	J	`jnl`	Projective synchronization for quaternion-valued memristor-based neural networks under time-varying delays. Networks Heterog. Media Jun Guo, Yanchao Shi, Yanzhao Cheng, Weihua Luo
2023	J	`jnl`	The Exponential Synchronization and Asymptotic Synchronization of Quaternion-Valued Memristor-Based Cohen-Grossberg Neural Networks with Time-Varying Delays. Neural Process. Lett. Yanzhao Cheng, Yanchao Shi
2022	J	`jnl`	Synchronization of memristor-based complex-valued neural networks with time-varying delays. Comput. Appl. Math. Yanzhao Cheng, Yanchao Shi
2020	J	`jnl`	Efficiency Enhancement of a Klystron-Like Relativistic Backward Wave Oscillator With Waveguide Reflection and Bunching Promotion. IEEE Access Huida Wang, Renzhen Xiao, Yanchao Shi, Guangshuai Zhang, Jun Sun, Changhua Chen, Wenhua Huang, Ruyu Fan
2020	J	`jnl`	Finite-time synchronization of memristive Cohen-Grossberg neural networks with time delays. Neurocomputing Yanchao Shi, Jinde Cao
2018	J	`jnl`	Finite-time synchronization of stochastic memristor-based delayed neural networks. Neural Comput. Appl. Yanchao Shi, Peiyong Zhu
2017	J	`jnl`	Exponential stability of complex-valued memristor-based neural networks with time-varying delays. Appl. Math. Comput. Yanchao Shi, Jinde Cao, Guanrong Chen
2014	J	`jnl`	Asymptotic stability analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with mixed time delays. Appl. Math. Comput. Yanchao Shi, Peiyong Zhu
2014	J	`jnl`	Projective synchronization of different chaotic neural networks with mixed time delays based on an integral sliding mode controller. Neurocomputing Yanchao Shi, Peiyong Zhu, Ke Qin
2014	J	`jnl`	Synchronization of Stochastic Competitive Neural Networks with Different Timescales and Reaction-Diffusion Terms. Neural Comput. Yanchao Shi, Peiyong Zhu
2014	J	`jnl`	Synchronization of memristive competitive neural networks with different time scales. Neural Comput. Appl. Yanchao Shi, Peiyong Zhu

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.