Yanlin Zhao

12 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MAJATNet: A Lightweight Multi-Scale Attention Joint Adaptive Adversarial Transfer Network for Bearing Unsupervised Cross-Domain Fault Diagnosis. Entropy Lin Song, Yanlin Zhao, Junjie He, Simin Wang, Boyang Zhong, Fei Wang
2024	J	`jnl`	A novel degradation model and reliability evaluation methodology based on two-phase feature extraction: An application to marine lubricating oil pump. Reliab. Eng. Syst. Saf. Zhiwei Chen, Yanlin Zhao, Jinling Yang, Yao Wang, Hongyan Dui
2024	J	`jnl`	Research on Optimization of Power Battery Recycling Logistics Network. EAI Endorsed Trans. Energy Web Yanlin Zhao, Yuliang Wu
2023	J	`jnl`	Analysis on the evolution of frost heaving pressure of penetrating crack considering water content and migration. Simul. Shengwen Zhang, Hang Lin, Yifan Chen, Yixian Wang, Yanlin Zhao
2022	J	`jnl`	Predict DLBCL patients' recurrence within two years with Gaussian mixture model cluster oversampling and multi-kernel learning. Comput. Methods Programs Biomed. Meng Xing, Yanbo Zhang, Hongmei Yu, Zhenhuan Yang, Xueling Li, Qiong Li, Yanlin Zhao, Zhiqiang Zhao, Yanhong Luo
2021	J	`jnl`	Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model. Reliab. Eng. Syst. Saf. Yue Su, Jingfa Li, Bo Yu, Yanlin Zhao, Jun Yao
2020	J	`jnl`	Precise evaluation method for the stability analysis of multi-scale slopes. Simul. Xiangjie Yin, Hang Lin, Yifan Chen, Yixian Wang, Yanlin Zhao
2020	J	`jnl`	Transfer Learning Based Method for Frequency Response Model Updating with Insufficient Data. Sensors Zhongmin Deng, Xinjie Zhang, Yanlin Zhao
2018	—	`conf`	Study of a Routing Algorithm of Internet of Vehicles Based on Selfishness. SmartIoT Meijuan Kou, Yanlin Zhao, Hanyu Cai, Xiumei Fan
2017	—	`conf`	Security Message Broadcast Mechanism Research in Vehicular Network. SmartCom Yanlin Zhao, Kena Dong, Xiumei Fan
2015	—	`conf`	An evaluation method of step-down stress accelerated life test based on Amsaa model. IEEM Jingyue Yang, Jun Yao, Yan Song, Honghua Hu, Yanlin Zhao
2007	J	`jnl`	A descent nonlinear conjugate gradient method for large-scale unconstrained optimization. Appl. Math. Comput. Gaohang Yu, Yanlin Zhao, Zengxin Wei

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.