Sa Zhu

15 papers A* 1A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection. CoRR Sa Zhu, Wanqian Zhang, Lin Wang, Xiaohua Chen, Chenxu Cui, Jinchao Zhang, Bo Li
2025	A*	`conf`	Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing. IJCAI Sa Zhu, Dayan Wu, Chenming Wu, Pengwen Dai, Bo Li
2025	A	`conf`	Uneven Event Modeling for Partially Relevant Video Retrieval. ICME Sa Zhu, Huashan Chen, Wanqian Zhang, Jinchao Zhang, Zexian Yang, Xiaoshuai Hao, Bo Li
2025	J	`jnl`	Uneven Event Modeling for Partially Relevant Video Retrieval. CoRR Sa Zhu, Huashan Chen, Wanqian Zhang, Jinchao Zhang, Zexian Yang, Xiaoshuai Hao, Bo Li
2025	J	`jnl`	White-Box High-Frequency Impedance Modeling of Permanent Magnet Synchronous Machines Using Small-Signal Time-Harmonic Finite Element Analysis. IEEE Trans. Ind. Electron. Sa Zhu, Weizhong Fang, Runqing Ni, Zhaohai Jin, Zhuocheng Lu
2024	J	`jnl`	Rapid and Accurate Calculation of PWM-Induced Harmonic Currents in IPMSMs Considering Hysteresis and Eddy Current Reaction Effects. IEEE Trans. Ind. Electron. Sa Zhu, Jianbo Lu, Xin Liang
2022	J	`jnl`	A Multifeature-Assisted Road and Vehicle Detection Method Based on Monocular Depth Estimation and Refined U-V Disparity Mapping. IEEE Trans. Intell. Transp. Syst. Weixuan Ma, Sa Zhu
2022	J	`jnl`	Global and local geometric constrained feature matching for high resolution remote sensing images. Comput. Electr. Eng. Sa Zhu, Weixuan Ma, Jian Yao
2022	J	`jnl`	Modeling of PWM-Induced Iron Losses With Frequency-Domain Methods and Low-Frequency Parameters. IEEE Trans. Ind. Electron. Sa Zhu, Bin Shi
2019	J	`jnl`	An Automatic Morphological Attribute Building Extraction Approach for Satellite High Spatial Resolution Imagery. Remote. Sens. Weixuan Ma, Youchuan Wan, Jiayi Li, Sa Zhu, Mingwei Wang
2019	—	`conf`	Analytical Calculation for Temperature Rise of Bearingless Switched Reluctance Motor Based on Lumped-Parameter Simplified Thermal Circuit Model. ISCID (2) Jingwei Zhang, Honghua Wang, Sa Zhu, Chao Tan, Tianhang Lu
2016	J	`jnl`	Thermal Modeling of Flux-Switching Permanent-Magnet Machines Considering Anisotropic Conductivity and Thermal Contact Resistance. IEEE Trans. Ind. Electron. Xiuhua Cai, Ming Cheng, Sa Zhu, Jiawen Zhang
2015	—	`conf`	Ocean surface approximation from scattered numerical marine forecast data. ICIA Mi Zhang, Jian Yao, Suyuan Wang, Sa Zhu, Li Li, Jing Ren, Xiang-rong Wu
2014	J	`jnl`	Core Loss Analysis and Calculation of Stator Permanent-Magnet Machine Considering DC-Biased Magnetic Induction. IEEE Trans. Ind. Electron. Sa Zhu, Ming Cheng, Jianning Dong, Jun Du
2013	—	`conf`	Pedestrian detection from still images based on multi-feature covariances. ICIA Yaping Liu, Jian Yao, Renping Xie, Sa Zhu

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.