Yadan Zhang - RankMe

17 papers Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentiating cardiac and non-cardiac chest pain using deep learning with magnetocardiography: A novel diagnostic approach. Biomed. Signal Process. Control. Guiyu Bai, Yangyang Cui, Ziyuan Huang, Yadan Zhang, Qinghai Ren, Jiaojiao Pang, Rui Shang
2025	J	`jnl`	Automated detection of sheep eye temperature using thermal images and improved YOLOv7. Comput. Electron. Agric. Yadan Zhang, Gang Liu, Jun Wang
2025	—	`conf`	Epicardial potential reconstruction in magnetocardiography imaging using Laplace-prior Tikhonov regularization. IST Xinglin Zhang, Yadan Zhang, Min Xiang
2025	J	`jnl`	Performance Evaluation of Magnetocardiography Sensor Arrays via Cramér-Rao Bound for Cardiac Source Localization. IEEE Trans. Instrum. Meas. Min Zhang, Yanmei Wang, Peilun Li, Yadan Zhang, Min Xiang
2025	J	`jnl`	Research on integrated intelligent energy management system based on big data analysis and machine learning. CoRR Jinzhou Xu, Yadan Zhang, Paola Tapia
2024	J	`jnl`	Identifying the minimum electrode count for locating potential atrial fibrillation drivers in electrocardiographic imaging using unsupervised electrode placement. Comput. Biol. Medicine Yadan Zhang, Jian Wu, Xin Lian, Yifu Li, Yangyang Cui, Min Xiang
2023	J	`jnl`	A multi-objective parameter optimization approach to maximize lifetime of wireless sensor networks inspired by spider web. J. Supercomput. Jun Wang, Yadan Zhang, Xichao Wang, Pengjun Mao, Bo Liu
2023	J	`jnl`	An expert review of the inverse problem in electrocardiographic imaging for the non-invasive identification of atrial fibrillation drivers. Comput. Methods Programs Biomed. Yadan Zhang, Jiang Liang, Jian Wu, Yifu Li, Haiying Li, Hairui Li
2023	J	`jnl`	Continual learning in an easy-to-hard manner. Appl. Intell. Yifan Chang, Yulu Chen, Yadan Zhang, Wenbo Li
2022	J	`jnl`	Finite-time stability of a class of nonautonomous systems. Int. J. Control Mengqin Li, Minghui Jiang, Fengmin Ren, Yadan Zhang
2022	J	`jnl`	IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for Wsns. Sensors Jun Wang, Yadan Zhang, Chunyan Hu, Pengjun Mao, Bo Liu
2022	J	`jnl`	Solving the inverse problem based on UPEMD for electrocardiographic imaging. Biomed. Signal Process. Control. Yadan Zhang, Jian Wu, Yifu Li, Haiying Li, Jie Lin, Hairui Li
2022	—	`conf`	The electrodes shirt design for ECG imaging. ICBIP Yadan Zhang, Xin Lian, Jian Wu
2022	—	`conf`	YOLOv5 insulator defect detection method based on multi-head self-attention. RICAI Yadan Zhang, Fenghou Li, Yulu Chen, Wenbo Li
2021	J	`jnl`	An Improved Triggering Updating Method of Interest Message with Adaptive Threshold Determination for Directed Diffusion Routing Protocol. J. Sensors Jun Wang, Xiaohang Liu, Zhitao He, Yadan Zhang, Song Gao
2021	J	`jnl`	Global dissipativity and finite-time synchronization of mixed time-varying delayed memristor-based neural networks with discontinuous activations. J. Intell. Fuzzy Syst. Kaifang Fei, Minghui Jiang, Yadan Zhang
2020	J	`jnl`	A New Fixed-Time Stability Criterion and Its Application to Synchronization Control of Memristor-Based Fuzzy Inertial Neural Networks with Proportional Delay. Neural Process. Lett. Yadan Zhang, Minghui Jiang, Xue Fang

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.

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.