Yanxi Yang - RankMe

22 papers Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Identifying Influential Nodes in Complex Networks: A Neighborhood Potential-Edge-Weight Gravity Centrality. IEEE Trans. Comput. Soc. Syst. Ru Feng, Yali Wu, Chen Zhang, Jiangtao Wei, Yanxi Yang, Yanghu Hu, Zhenhua Su
2025	J	`jnl`	A Novel Irregularity Detection Method for Railway Tracks Based on Improved Masked Sparse Transformer. IEEE Trans. Instrum. Meas. Yongze Jin, Xiuchen Bai, Xinhong Hei, Mengyang Li, Yanxi Yang, Xubo Yang, Junqi Liu
2025	J	`jnl`	A Novel Open-Set Cross-Domain Fault Diagnosis Method Based on Improved PACDAN. IEEE Trans. Instrum. Meas. Yongze Jin, Xiaohao Song, Yanxi Yang, Xubo Yang, Xinhong Hei, Junqi Liu, Mengyang Li
2025	—	`conf`	More Resistant and Less Waiting: Parallel Federated Split Learning for Object Detection Missions of UAV Cluster. ICA3PP (2) Yanxi Yang, Yinan Chen, Xingyu Li, Linfeng Liu
2025	J	`jnl`	Optimization Design of Projection Grating Wavelength for Robust 3D Imaging. IEEE Trans. Image Process. Jianhua Wang, Yanxi Yang
2025	J	`jnl`	Prediction of Flexural Bearing Capacity of Aluminum-Alloy-Reinforced RC Beams Based on Machine Learning. Symmetry Chunmei Mo, Jun Huang, Junzhong Huang, Tian Li, Yanxi Yang
2024	J	`jnl`	3D position and pose measurement based on coded light field. IET Image Process. Wei Liu, Ding Chang, Jiajun Shao, Yanxi Yang
2024	J	`jnl`	An active learning framework using deep Q-network for zero-day attack detection. Comput. Secur. Yali Wu, Yanghu Hu, Junhu Wang, Mengqi Feng, Ang Dong, Yanxi Yang
2023	J	`jnl`	Fault Diagnosis of Rotating Machinery Using Denoising-Integrated Sparse Autoencoder Based Health State Classification. IEEE Access Jing Yang, Guo Xie, Yanxi Yang
2022	J	`jnl`	An Improved Sparse Autoencoder and Multilevel Denoising Strategy for Diagnosing Early Multiple Intermittent Faults. IEEE Trans. Syst. Man Cybern. Syst. Guo Xie, Jing Yang, Yanxi Yang
2022	J	`jnl`	Analysis and Compensation of Phase Error Caused by Noise and Nonlinear Response of 3-D Measurement System. IEEE Trans. Instrum. Meas. Jianhua Wang, Yanxi Yang
2021	—	`conf`	A Data Decorrelation Strategy Based Method for Rolling Bearing Incipient Complex Fault Diagnosis. CAA SAFEPROCESS Jing Yang, Guo Xie, Yanxi Yang
2021	J	`jnl`	Triple N-Step Phase Shift Algorithm for Phase Error Compensation in Fringe Projection Profilometry. IEEE Trans. Instrum. Meas. Jianhua Wang, Yanxi Yang
2020	J	`jnl`	3-D Measurement Method for Nonuniform Reflective Objects. IEEE Trans. Instrum. Meas. Jianhua Wang, Yuguo Zhou, Yanxi Yang
2020	J	`jnl`	Carrier-Phase Multipath Mitigation Based on Adaptive Wavelet Packet Transform and TB Strategy. IEICE Trans. Commun. Yanxi Yang, Jinguang Jiang, Meilin He
2020	J	`jnl`	Non-Uniform Network Mapping and Localization. IEEE Access Wei Liu, Yanxi Yang, Wenqing Wang
2019	J	`jnl`	Comparison of Satellite Repeat Shift Time for GPS, BDS, and Galileo Navigation Systems by Three Methods. Algorithms Yanxi Yang, Jinguang Jiang, Mingkun Su
2018	—	`conf`	A Rotating Machinery Fault Diagnosis Method for High-Speed Trains Based on Improved Deep Learning Network. ICCAIS Jing Yang, Guo Xie, Yanxi Yang, Xin Li
2012	—	`conf`	Improved Method of Robot Trajectory in IBVS Based on an Efficient Second-Order Minimization Technique. ICIRA (3) Jie Zhang, Ding Liu, Yanxi Yang, Gang Zheng
2012	—	`conf`	Simultaneous Localization and Map Building for Wheeled Robot with Colored Measurement Noise. ICIRA (3) Yingmin Yi, Ding Liu, Jing Xin, Yanxi Yang
2008	—	`conf`	A New Stereo Matching Method Based on Sub-pixel Corner Detection. CSSE (2) Dou Zhao, Ding Liu, Yanxi Yang
2008	—	`conf`	An Improved PIC Algorithm of Background Reconstruction for Detecting Moving Object. FSKD (4) Dou Zhao, Ding Liu, Yanxi Yang

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.