Zhenglong Xiang

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VGen-adapter: A vision generalization adapter for stable diffusion 3. Neurocomputing Zhenglong Xiang, Chenghao Zhou, Yu Xue
2025	J	`jnl`	Multi-level discriminator based contrastive learning for multiplex networks. Neurocomputing Hongrun Wu, Mingjie Zhang, Zhenglong Xiang, Yingpin Chen, Fei Yu, Xuewen Xia, Yuanxiang Li
2024	J	`jnl`	Agent-Network-Computation-Based Evolutionary Game Model in Language Competition. IEEE Trans. Comput. Soc. Syst. Hongrun Wu, Qiurong Wu, Zhenglong Xiang, Xiang Zhang, Lei Zhang, Yingpin Chen, Hui Wang, Jianhua Song
2023	J	`jnl`	Multi-view contrastive learning for multilayer network embedding. J. Comput. Sci. Mingjie Zhang, Dingwen Wang, Hongrun Wu, Yuanxiang Li, Zhenglong Xiang
2022	J	`jnl`	A spatial-temporal graph neural network framework for automated software bug triaging. Knowl. Based Syst. Hongrun Wu, Yutao Ma, Zhenglong Xiang, Chen Yang, Keqing He
2022	J	`jnl`	Variational joint self-attention for image captioning. IET Image Process. Xiangjun Shao, Zhenglong Xiang, Yuanxiang Li, Mingjie Zhang
2022	J	`jnl`	Visual question answering with gated relation-aware auxiliary. IET Image Process. Xiangjun Shao, Zhenglong Xiang, Yuanxiang Li
2021	J	`jnl`	A Spatial-Temporal Graph Neural Network Framework for Automated Software Bug Triaging. CoRR Hongrun Wu, Yutao Ma, Zhenglong Xiang, Chen Yang, Keqing He
2021	—	`conf`	Deep User Representation Construction Model for Collaborative Filtering. DASFAA (3) Daomin Ji, Zhenglong Xiang, Yuanxiang Li
2020	J	`jnl`	An adaptive integral separated proportional-integral controller based strategy for particle swarm optimization. Knowl. Based Syst. Zhenglong Xiang, Xiangjun Shao, Hongrun Wu, Daomin Ji, Fei Yu, Yuanxiang Li
2020	J	`jnl`	Bimodal Emotion Recognition Model for Minnan Songs. Inf. Zhenglong Xiang, Xialei Dong, Yuanxiang Li, Fei Yu, Xing Xu, Hongrun Wu
2020	J	`jnl`	Dual Relations Network for Collaborative Filtering. IEEE Access Daomin Ji, Zhenglong Xiang, Yuanxiang Li
2019	J	`jnl`	A Genetic Algorithm-Based Approach for Composite Metamorphic Relations Construction. Inf. Zhenglong Xiang, Hongrun Wu, Fei Yu
2019	J	`jnl`	A simple PID-based strategy for particle swarm optimization algorithm. Inf. Sci. Zhenglong Xiang, Daomin Ji, Heng Zhang, Hongrun Wu, Yuanxiang Li
2019	J	`jnl`	Wave models and dynamical analysis of evolutionary algorithms. Sci. China Inf. Sci. Yuanxiang Li, Zhenglong Xiang, Daomin Ji

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.