Yanwen Qu - RankMe

13 papers A 1B 2Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	JNFuzz-Droid: a lightweight fuzzing and taint analysis framework for native code of Android applications. Empir. Softw. Eng. Jianchao Cao, Fan Guo, Yanwen Qu
2025	—	`conf`	MDS-YOLO: Small Target Detection Algorithm in UAV Aerial Images Based on Multi-scale Feature Fusion. PRCV (18) Haihe Shi, Shenglin Chen, Wen Xu, Peng Fan, Zuchang Yu, Yanwen Qu
2025	J	`jnl`	Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics. CoRR Enming Zhang, Zheng Liu, Yu Xiang, Yanwen Qu
2024	A	`conf`	JNFuzz-Droid: A Lightweight Fuzzing and Taint Analysis Framework for Android Native Code. SANER Jianchao Cao, Fan Guo, Yanwen Qu
2023	—	`conf`	M ICONIP (11) Yuxing Tian, Jiachi Luo, Zheng Liu, Song Li, Yanwen Qu
2022	J	`jnl`	M3FGM: a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction. CoRR Yuxing Tian, Zheng Liu, Yanwen Qu
2022	J	`jnl`	One-to-many comparative summarization for patents. Scientometrics Zheng Liu, Jialing Zhang, Tingting Qin, Yanwen Qu, Yun Li
2021	—	`conf`	Loss Attenuation for Time Series Prediction Respecting Categories of Values. APWeb/WAIM (1) Jialing Zhang, Zheng Liu, Yanwen Qu, Yun Li
2020	B	`conf`	Cross Message Passing Graph Neural Network. IJCNN Zeyu Zhang, Zheng Liu, Qiyun Zhou, Yanwen Qu
2020	B	`conf`	What nodes vote to? Graph classification without readout phase. ICPR Yuxing Tian, Zheng Liu, Weiding Liu, Zeyu Zhang, Yanwen Qu
2019	—	`conf`	PPGCN: A Message Selection Based Approach for Graph Classification. ICONIP (4) Xinyang Liu, Zheng Liu, Yanwen Qu
2018	J	`jnl`	Feature extraction based on Low-rank affinity matrix for biological recognition. J. Comput. Sci. Nan Zhang, Yi Chen, Maolong Xi, Fangqin Wang, Yanwen Qu
2018	—	`conf`	SMAS: An Investor-Oriented Social Media Analysis System for Movies. IEEE BigData Zheng Liu, Kejia Chen, Yanwen Qu, Shuting Guo, Chi-Yu Liu, Chengbin Jia

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.