Yanjun Liu

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Semi-Analytical Super-Resolution X-Space Reconstruction for Magnetic Particle Imaging Scanner via Adaptive Kernel Optimization.
IEEE Trans. Computational Imaging
Yanjun Liu, Lei Li, Guanghui Li, Siao Lei, Deshang Duan, Yang Jing, Peng Yang, Xin Feng, Yu An, Hui Hui, Jie Tian
2024 J jnl
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging.
IEEE Trans. Emerg. Top. Comput. Intell.
Zechen Wei, Yanjun Liu, Tao Zhu, Xin Yang, Jie Tian, Hui Hui
2024 J jnl
Dual-channel end-to-end network with prior knowledge embedding for improving spatial resolution of magnetic particle imaging.
Comput. Biol. Medicine
Jiaxuan Wen, Yu An, Lizhi Shao, Lin Yin, Zhengyao Peng, Yanjun Liu, Jie Tian, Yang Du
2024 J jnl
Fast System Matrix Generation Based on Single Angle Calibration in Open-Sided Field Free Line Magnetic Particle Imaging.
IEEE Trans. Biomed. Eng.
Guanghui Li, Yanjun Liu, Zhumei Qian, Fei Xiong, Siao Lei, Yuan Feng, Jiaqian Li, Yang Du, Jie Tian, Yu An
2024 J jnl
First Nonhuman Primate-Sized Magnetic Particle Imaging System Based on Digital-Scanned Focus Field.
IEEE Trans. Instrum. Meas.
Zechen Wei, Yanjun Liu, Sijia Liu, Xiaomei Yu, Haoran Zhang, Tao Zhu, Bo Zhang, Yali Zhang, Hongdi Huang, Yang Fan, Hongli Li, Jianhong Wang, Jie Tian, Hui Hui
2024 J jnl
Peak Shift in Field-Swept Magnetic Particle Spectroscopy: A Novel Sensing Metric for Magnetic Nanoparticle Bioassays.
IEEE Trans. Instrum. Meas.
Yanjun Liu, Xin Feng, Sijia Liu, Lei Li, Xing-Yao Huang, Mengjiao He, Cheng-Feng Qin, Hui Hui, Jie Tian
2024 J jnl
Relaxation-Based Super-Resolution Method in Pulsed Magnetic Particle Imaging.
IEEE Trans. Computational Imaging
Lei Li, Haohao Yan, Yuge Li, Yidong Liao, Yanjun Liu, Ruili Zhang, Zhongliang Wang, Xin Feng, Jie Tian
2024 J jnl
Space-Specific Mixing Excitation for High-SNR Spatial Encoding in Magnetic Particle Imaging.
IEEE Trans. Biomed. Eng.
Yanjun Liu, Guanghui Li, Jiaqian Li, Zhenchao Tang, Yu An, Jie Tian
2024 J jnl
Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging.
IEEE Trans. Computational Imaging
Yaxin Shang, Jie Liu, Yanjun Liu, Yueqi Wang, Yusong Shen, Xiangjun Wu, Liwen Zhang, Hui Hui, Jie Tian
2024 J jnl
Transverse MNP Signal-Based Isotropic Imaging for Magnetic Particle Imaging.
IEEE Trans. Instrum. Meas.
Lei Li, Yidong Liao, Qibin Wang, Zhonghao Zhang, Dawei Ge, Jiawei Hu, Ning He, Yanjun Liu, Chenxiao Xu, Yunpeng Gao, Pengyue Guo, Hui Hui, Xin Feng, Shouping Zhu, Jie Tian
2023 J jnl
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy.
IEEE Trans. Instrum. Meas.
Lin Yin, Wei Li, Zhongwei Bian, Ziwei Chen, Yanjun Liu, Jing Zhong, Shuixing Zhang, Yang Du, Hui Hui, Jie Tian

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.