Fan Yang

12 papers Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A loss-based weighted aggregation method for federated learning with heterogeneous computing resources. APNet Chao Yao, Haochen Wang, Fan Yang, Yi Yang, Zehua Guo
2023	J	`jnl`	A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images. Remote. Sens. Chao Yao, Lingfeng Zheng, Longchao Feng, Fan Yang, Zehua Guo, Miao Ma
2021	—	`conf`	Students' Debugging Behavior Analysis in Game-Based Learning. ICCAI Fan Yang, Zhenghong Dong, Zhongwang Wu
2020	J	`jnl`	Research on electromagnetic visualization method. Int. J. Model. Simul. Sci. Comput. Fan Yang, Zhenghong Dong
2019	J	`jnl`	Study on Integrated Communication Enhanced Link Based on Signal Detection, Frequency Conversion and Forwarding. Wirel. Pers. Commun. Fan Yang, Zhenghong Dong, Xiaobo Duan
2018	J	`jnl`	Study on student performance estimation, student progress analysis, and student potential prediction based on data mining. Comput. Educ. Fan Yang, Frederick W. B. Li
2014	J	`jnl`	A Fine-Grained Outcome-Based Learning Path Model. IEEE Trans. Syst. Man Cybern. Syst. Fan Yang, Frederick W. B. Li, Rynson W. H. Lau
2013	—	`conf`	Association Link Network-Based Automatic Test Generation Scheme. LTEC Fan Yang, Frederick W. B. Li, Rynson W. H. Lau
2012	—	`conf`	Learning Path Construction Based on Association Link Network. ICWL Fan Yang, Frederick W. B. Li, Rynson W. H. Lau
2011	J	`jnl`	Active Contour Projection for Multimedia Applications. J. Multim. Fan Yang, Frederick W. B. Li
2011	—	`conf`	Fuzzy Cognitive Map Based Student Progress Indicators. ICWL Fan Yang, Frederick W. B. Li, Rynson W. H. Lau
2010	—	`conf`	An Open Model for Learning Path Construction. ICWL Fan Yang, Frederick W. B. Li, Rynson W. H. Lau

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.