Tangwei Liu

11 papers B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Uniform convergence analysis of the BDF2 scheme on Bakhvalov-type meshes for a singularly perturbed Volterra integro-differential equation. Appl. Math. Lett. Yige Liao, Li-bin Liu, Limin Ye, Tangwei Liu
2011	J	`jnl`	Gradient vector flow with mean shift for skin lesion segmentation. Comput. Medical Imaging Graph. Huiyu Zhou, Gerald Schaefer, M. Emre Celebi, Faquan Lin, Tangwei Liu
2010	J	`jnl`	Segmentation of optic disc in retinal images using an improved gradient vector flow algorithm. Multim. Tools Appl. Huiyu Zhou, Gerald Schaefer, Tangwei Liu, Faquan Lin
2009	B	`conf`	3-D structure recovery from 2-D observations. ICIP Huiyu Zhou, Gerald Schaefer, Tangwei Liu, Faquan Lin
2008	J	`jnl`	Improving image segmentation by gradient vector flow and mean shift. Pattern Recognit. Lett. Tangwei Liu, Huiyu Zhou, Faquan Lin, Yusheng Pang, Ji Wu
2008	J	`jnl`	Level set image segmentation with Bayesian analysis. Neurocomputing Huiyu Zhou, Yuan Yuan, Faquan Lin, Tangwei Liu
2008	J	`jnl`	Recovery of Nonrigid Structures from 2D Observations. Int. J. Pattern Recognit. Artif. Intell. Huiyu Zhou, Xuelong Li, Tangwei Liu, Faquan Lin, Yusheng Pang, Ji Wu, Junyu Dong, Jiahua Wu
2007	J	`jnl`	Image Restoration and Detail Preservation by Bayesian Estimation. Int. J. Image Graph. Huiyu Zhou, Tangwei Liu, Faquan Lin, Yusheng Pang, Ji Wu
2007	J	`jnl`	Towards efficient registration of medical images. Comput. Medical Imaging Graph. Huiyu Zhou, Tangwei Liu, Faquan Lin, Yusheng Pang, Jiahua Wu, Ji Wu
2006	J	`jnl`	Tracking Non-Rigid Objects in Video Sequences. Int. J. Inf. Acquis. Huiyu Zhou, Tangwei Liu, Jeffery Z. J. Zheng, Faquan Lin, Yusheng Pang, Ji Wu
2005	—	`conf`	A hybrid framework for image segmentation. ICASSP (2) Huiyu Zhou, Tangwei Liu, Huosheng Hu, Yusheng Pang, Faquan Lin, Ji Wu

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.