Feiyan Zhou

11 papers Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel Dual-Branch Generative Adversarial Network for electrocardiogram data generation. Digit. Signal Process. Feiyan Zhou, Tianlong Huang
2025	J	`jnl`	MSFM-UNET: enhancing medical image segmentation with multi-scale and multi-view frequency fusion. Pattern Anal. Appl. Qiang Gao, Yi Wang, Feiyan Zhou, Jing Wen, Yong Li, Bin Fang, Peng Chen, Lan Du, Cunjian Chen
2025	J	`jnl`	Shrinkage Initialization for Smooth Learning of Neural Networks. CoRR Miao Cheng, Feiyan Zhou, Hongwei Zou, Limin Wang
2024	J	`jnl`	Inter-patient ECG arrhythmia heartbeat classification network based on multiscale convolution and FCBA. Biomed. Signal Process. Control. Feiyan Zhou, Yuhao Sun, Ya-wen Wang
2024	—	`conf`	Premature beats detection using a convolution neural network based on the frequency channel attention module. BIC Yuhao Sun, Feiyan Zhou
2023	—	`conf`	A ResNet-BiLSTM Multi-lead ECG Classification Method Embedded with Attention Mechanism. ITCC Feiyan Zhou, Qi Luo, Jiajia Li
2023	—	`conf`	Multi-lead atrial fibrillation classification method using ConvNeXt and BiLSTM. AICCC Qi Luo, Feiyan Zhou, Feng Yu
2023	J	`jnl`	Test and Analysis on Electromagnetic Disturbance of Digital Unit of Primary-Secondary Integrated 10kV Circuit Breaker. IEEE Access Feiyan Zhou, Yan Wu, Lingyun Gu, Dingyu Qin, Chongqing Jiao, Zhanpeng Du, Zuoxing Deng, Zhiye Jiang, Jiancheng Huang
2022	J	`jnl`	Evaluation Index and Evaluation Method of Three-Phase Imbalance Treatment Effect Based on Commutation. IEEE Access Jie Chen, Feiyan Zhou, Lingyun Gu, Hui Yin, Li Zhang, Chaofei Gao
2022	J	`jnl`	Loop-to-Loop Magnetic Coupling Through a Circular Aperture in a Planar PEC Screen of Finite Thickness. IEEE Access Feiyan Zhou, Zhixin Zhang, Yan Wu, Lingyun Gu, Xuefeng Bai, Chongqing Jiao
2020	J	`jnl`	XJTU: Typical Arrangements for Downstream Uniformity Assessment in Atmospheric-Pressure Plasma Jet Arrays. IEEE Access Qiang Ren, Xuandong Liu, Hao Sun, Chengwei Huang, Feiyan Zhou, Ming Chen, Chengjun Liang

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.