Qingming Jonathan Wu

15 papers A* 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Cross-Attention for AES Mode Variation in Side-Channel Analysis. DAC Fanliang Hu, Jian Shen, Haoyu Ma, Qingming Jonathan Wu
2025	J	`jnl`	Two-Stage Target Detection for Compact HFSWR With Space-to-Depth YOLOv8 and Multiframe ViT. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Tong Wu, Ming Li, Jiong Niu, Ling Zhang, Wandong Zhang, Qingming Jonathan Wu
2024	J	`jnl`	Review of Accident Detection Methods Using Dashcam Videos for Autonomous Driving Vehicles. IEEE Trans. Intell. Transp. Syst. Arash Rocky, Qingming Jonathan Wu, Wandong Zhang
2020	J	`jnl`	A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation. IEEE Trans. Intell. Transp. Syst. Thangarajah Akilan, Qingming Jonathan Wu, Amin Safaei, Jie Huo, Yimin Yang
2019	J	`jnl`	Weighted Extreme Sparse Classifier and Local Derivative Pattern for 3D Face Recognition. IEEE Trans. Image Process. Sima Soltanpour, Qingming Jonathan Wu
2018	J	`jnl`	Effect of fusing features from multiple DCNN architectures in image classification. IET Image Process. Akilan Thangarajah, Qingming Jonathan Wu, Hui Zhang
2017	J	`jnl`	Image segmentation using a hierarchical student's- IET Image Process. Lingcheng Kong, Hui Zhang, Yuhui Zheng, Yunjie Chen, Jiezhong Zhu, Qingming Jonathan Wu
2017	J	`jnl`	Multilayered Echo State Machine: A Novel Architecture and Algorithm. IEEE Trans. Cybern. Zeeshan Khawar Malik, Amir Hussain, Qingming Jonathan Wu
2017	J	`jnl`	Multimodal 2D-3D face recognition using local descriptors: pyramidal shape map and structural context. IET Biom. Sima Soltanpour, Qingming Jonathan Wu
2016	J	`jnl`	A Consensus Model for Motion Segmentation in Dynamic Scenes. IEEE Trans. Circuits Syst. Video Technol. Thanh Minh Nguyen, Qingming Jonathan Wu
2016	J	`jnl`	Non-local-based spatially constrained hierarchical fuzzy IET Image Process. Yunjie Chen, Jian Li, Hui Zhang, Yuhui Zheng, Byeungwoo Jeon, Qingming Jonathan Wu
2015	J	`jnl`	Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment. IEEE Trans. Image Process. Ashirbani Saha, Qingming Jonathan Wu
2014	J	`jnl`	An Unsupervised Feature Selection Dynamic Mixture Model for Motion Segmentation. IEEE Trans. Image Process. Thanh Minh Nguyen, Qingming Jonathan Wu
2013	J	`jnl`	Modified student's IET Signal Process. Hui Zhang, Qingming Jonathan Wu, Thanh Minh Nguyen
2004	J	`jnl`	Intelligent Fusion of Sensor Data for Product Quality Assessment in a Fishcutting Machine. Control. Intell. Syst. A. Jain, Clarence W. de Silva, Qingming Jonathan 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.

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.