Yan Zhang

11 papers Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	You can only watch the past: track attention network for online spatio-temporal action detection. Sci. China Inf. Sci. Shaowen Su, Minggang Gan, Yan Zhang
2024	J	`jnl`	Content Temporal Relation Network for temporal action proposal generation. Pattern Recognit. Minggang Gan, Yan Zhang
2024	J	`jnl`	Online Hierarchical Linking of Action Tubes for Spatio-Temporal Action Detection Based on Multiple Clues. IEEE Access Shaowen Su, Yan Zhang
2024	J	`jnl`	Proposal Semantic Relationship Graph Network for Temporal Action Detection. ACM Trans. Intell. Syst. Technol. Shaowen Su, Yan Zhang, Minggang Gan
2023	J	`jnl`	Improving accuracy of temporal action detection by deep hybrid convolutional network. Multim. Tools Appl. Minggang Gan, Yan Zhang
2023	J	`jnl`	Temporal Attention-Pyramid Pooling for Temporal Action Detection. IEEE Trans. Multim. Minggang Gan, Yan Zhang
2023	J	`jnl`	Temporal-visual proposal graph network for temporal action detection. Appl. Intell. Minggang Gan, Yan Zhang, Shaowen Su
2020	—	`conf`	A Dempster-Shafer Evidence Theory Based Multimodal Human Gesture Recognition Method. ICCDE Zongkai Tian, Yan Zhang
2019	J	`jnl`	Real-time performance evaluation and improvement of assembly systems with Bernoulli machines and finite production runs. Int. J. Prod. Res. Zhiyang Jia, Kaixin Zhao, Yan Zhang, Yaping Dai, Chang Liu
2018	—	`conf`	Finite production run-based performance evaluation of assembly systems with Bernoulli machines. SysCon Zhiyang Jia, Chang Liu, Yan Zhang, Yaping Dai
2018	—	`conf`	Real-Time Performance Analysis of Industrial Serial Production Systems with Flexible Manufacturing. SCIS&ISIS Yan Zhang, Zhiyang Jia, Yaping Dai

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.