Lei Shi

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Extended Model of HITRAN Gas Spectral Parameters Based on AdaTransformer. IEEE Trans. Aerosp. Electron. Syst. Yuefan Du, Xiaoping Li, Lei Shi, Fangyan Li
2024	J	`jnl`	A Prototype Network for Hyperspectral Image Open-Set Classification Based on Feature Invariance and Weighted Pearson Distance Measurement. IEEE Trans. Geosci. Remote. Sens. Yuefan Du, Xiaoping Li, Lei Shi, Fangyan Li, Tuo Xu
2024	J	`jnl`	Dynamic Low-Rank and Sparse Priors Constrained Deep Autoencoders for Hyperspectral Anomaly Detection. IEEE Trans. Instrum. Meas. Sheng Lin, Min Zhang, Xi Cheng, Lei Shi, Paolo Gamba, Hai Wang
2023	J	`jnl`	Hyperspectral Anomaly Detection Using Spatial-Spectral-Based Union Dictionary and Improved Saliency Weight. Remote. Sens. Sheng Lin, Min Zhang, Xi Cheng, Shaobo Zhao, Lei Shi, Hai Wang
2022	J	`jnl`	A Hyperspectral Anomaly Detection Algorithm Using Sub-Features Grouping and Binary Accumulation. IEEE Geosci. Remote. Sens. Lett. Shurong Yuan, Lei Shi, Bo Yao, Fangyan Li, Yuefan Du
2022	J	`jnl`	Detection of the New Class of Hypersonic Targets under Emerging Hyperspectral Sample Streams: An Unsupervised Isolation Forest Solution. Remote. Sens. Shurong Yuan, Lei Shi, Bo Yao, Yutong Zhai, Fangyan Li, Yuefan Du
2021	J	`jnl`	Modulation, Detection, and Performance for Noncoherent Massive SIMO Systems for Hypersonic Vehicle Downlink Integrated Channel. IEEE Trans. Veh. Technol. HaiLiang Wei, Yanming Liu, Bo Yao, Lei Shi, Shurong Yuan
2021	J	`jnl`	The Realistic 3D Group Mobility Model Based on Spiral Line for Aerial Backbone Network. IEEE Trans. Veh. Technol. Dawei He, Wei Sun, Lei Shi
2021	J	`jnl`	Unconventionally Designed Tracking Loop Adaptable to Plasma Sheath Channel for Hypersonic Vehicles. Sensors Lei Shi, Shurong Yuan, Bo Yao
2020	J	`jnl`	Fast Doppler shift acquisition method for hypersonic vehicle communications. IET Commun. Lei Shi, Congying Zhu, Lei Zhao, Shurong Yuan, Bo Yao, Xiaoping Li
2020	J	`jnl`	The Authentic 3D Mobility Model Based on Spiral Line for Aerial Backbone Network. IEEE Access Dawei He, Wei Sun, Lei Shi
2020	J	`jnl`	The Novel Mobility Models Based on Spiral Line for Aerial Backbone Networks. IEEE Access Dawei He, Wei Sun, Lei Shi
2019	J	`jnl`	A Geometric-Stochastic Integrated Channel Model for Hypersonic Vehicle: A Physical Perspective. IEEE Trans. Veh. Technol. Bo Yao, Xiaoping Li, Lei Shi, Yanming Liu, Congying Zhu
2015	J	`jnl`	A New Statistical WRELAX Algorithm Under Nakagami Multipath Channel Based on Delay Power Spectrum Characteristic. Wirel. Pers. Commun. Lei Shi, Lei Zhao, Zhenyue Qiao, Zhen Guo
2015	—	`conf`	An Efficient Weighting Method for Nakagami-m Envelope Distribution Simulation. IIH-MSP Lei Shi, Xiaoping Li, Yanming Liu, Lei Zhao

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.