Yang Song

32 papers Journal 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
Physics-Informed Enhanced Fourier Neural Operator for Solving Pantograph-Catenary Interaction in Electric Railway.
IEEE Trans. Veh. Technol.
Jinfa Guan, Hui Wang, Yuxiang Peng, Haonan Yang, Jinke Yan, Yang Song, Zhigang Liu
2026 J jnl
Track Irregularity Prediction and Effect on the Dynamic Response of the 600 km/h Maglev System.
IEEE Trans. Veh. Technol.
Wen Wang, Yang Song, Junqi Xu, Zhao Xu, Zhigang Liu
2025 J jnl
Assessment of Current Collection Performance of Rail Pantograph-Catenary Considering Long Suspension Bridges.
IEEE Trans. Instrum. Meas.
Xufan Wang, Yang Song, Bing Lu, Hui Wang, Zhigang Liu
2025 J jnl
Dual-Domain Conditional Generative Adversarial Networks for Predicting the Contact Force Curve of Pantograph-Catenary System in High-Speed Railway.
IEEE Trans. Instrum. Meas.
Jinfa Guan, Hui Wang, Xufan Wang, Xiangyu Meng, Yang Song, Zhigang Liu
2025 J jnl
Evolution Analysis of Three-Dimensional Wheel Polygonal Wear for Electric Locomotives Considering the Effect of Interharmonics.
IEEE Trans. Veh. Technol.
Bing Lu, Yang Song, Zhigang Liu, Xufan Wang, Qiao Zhang, Yanming Lu
2025 J jnl
Flexible Pantograph Collector Modeling and Its Effects in High-Speed Catenary-Pantograph Interaction.
IEEE Trans. Instrum. Meas.
Zhao Xu, Yang Song, Jiaming Xiong, Guobin Lin, Zhigang Liu
2024 J jnl
Current Collection Quality of High-Speed Rail Pantograph-Catenary Considering Geometry Deviation at 400 km/h and Above.
IEEE Trans. Veh. Technol.
Yang Song, Zhigang Liu, Shibin Gao
2024 J jnl
Optimization of Railway Pantograph-Catenary Systems for Over 350 km/h Based on an Experimentally Validated Model.
IEEE Trans. Ind. Informatics
Yang Song, Xiaobing Lu, Yanhong Yin, Yuhui Liu, Zhigang Liu
2024 J jnl
Structural Performance Analysis and Optimization Design of Railway Pantograph Under High-Speed Operating Conditions.
IEEE Trans. Instrum. Meas.
Xufan Wang, Zhigang Liu, Yang Song, Guiyang Hu, Sheng Zhou, Fuchuan Duan, Long Chen
2024 J jnl
Suppression of Railway Catenary Galloping Based on Structural Parameters' Optimization.
Sensors
Yuhui Liu, Yang Song, Fuchuan Duan, Zhigang Liu
2023 J jnl
Dynamic Characteristics of Electric Shoegear and Conductor Rail System Considering the Track Irregularities.
IEEE Trans. Instrum. Meas.
Xufan Wang, Zhigang Liu, Yang Song, Wei Jin, Zhao Xu, Jiaming Xiong, Sheng Zhou
2023 J jnl
Influence of Electric Traction Drive System Harmonics and Interharmonics on the Vibration of Key Locomotive Components.
IEEE Trans. Veh. Technol.
Bing Lu, Zhigang Liu, Xufan Wang, Yang Song, Qiao Zhang, Siqi Wu, Gongquan Tao
2023 J jnl
Modelling and Analysis of Expansion Joints' Effect on Dynamic Performance of Railway Rigid Overhead System.
Sensors
Xiaohe Feng, Zeyao Hu, Shibin Gao, Fuchuan Duan, Wenping Chu, Yang Song
2023 J jnl
Study on Aerodynamic Instability and Galloping Response of Rail Overhead Contact Line Based on Wind Tunnel Tests.
IEEE Trans. Veh. Technol.
Fuchuan Duan, Yang Song, Shibin Gao, Yuhui Liu, Wenping Chu, Xiaobing Lu, Zhigang Liu
2022 J jnl
Analysis of Critical Speed for High-Speed Railway Pantograph-Catenary System.
IEEE Trans. Veh. Technol.
Yang Song, Fuchuan Duan, Zhigang Liu
2022 J jnl
Assessment of Dynamic Interaction Performance of High-Speed Pantograph and Overhead Conductor Rail System.
IEEE Trans. Instrum. Meas.
Long Chen, Fuchuan Duan, Yang Song, Zeyao Hu, Zhigang Liu, Xiaohe Feng
2022 J jnl
Crosswind Effects on Current Collection Quality of Railway Pantograph-Catenary: A Case Study in Chengdu-Chongqing Passenger Special Line.
IEEE Trans. Instrum. Meas.
Yang Song, Fuchuan Duan, Shibin Gao, Fanping Wu, Zhigang Liu
2022 J jnl
Stress Analysis and Fatigue Life Prediction of Contact Wire Located at Steady Arms in High-Speed Railway Catenary System.
IEEE Trans. Instrum. Meas.
Zhao Xu, Yang Song, Zhigang Liu
2022 J jnl
Study on the Dynamic Performance of High-Speed Railway Catenary System With Small Encumbrance.
IEEE Trans. Instrum. Meas.
Zhao Xu, Zhigang Liu, Yang Song
2021 J jnl
A Response Spectrum Analysis of Wind Deflection in Railway Overhead Contact Lines Using Pseudo-Excitation Method.
IEEE Trans. Veh. Technol.
Yang Song, Mingjie Zhang, Hongrui Wang
2021 J jnl
An Investigation on the Current Collection Quality of Railway Pantograph-Catenary Systems With Contact Wire Wear Degradations.
IEEE Trans. Instrum. Meas.
Yang Song, Hongrui Wang, Zhigang Liu
2021 J jnl
The Effects of Spatially Distributed Damping on the Contact Force in Railway Pantograph-Catenary Interactions.
IEEE Trans. Instrum. Meas.
Yang Song, Tengjiao Jiang, Anders Rønnquist, Petter Nåvik, Gunnstein Frøseth
2021 J jnl
Vibration Measurement and Wave Reflection Analysis in an Electrified Railway Catenary Based on Analytical Methods.
IEEE Trans. Instrum. Meas.
Fuchuan Duan, Zhigang Liu, Yang Song, Stefano DeRosa, Anders Rønnquist, Donghai Zhai
2020 J jnl
Assessment of the High-Frequency Response in Railway Pantograph-Catenary Interaction Based on Numerical Simulation.
IEEE Trans. Veh. Technol.
Yang Song, Anders Rønnquist, Petter Nåvik
2020 J jnl
Contact Wire Irregularity Stochastics and Effect on High-Speed Railway Pantograph-Catenary Interactions.
IEEE Trans. Instrum. Meas.
Yang Song, Zhigang Liu, Anders Rønnquist, Petter Nåvik, Zhendong Liu
2020 J jnl
Dynamic Performance of High-Speed Railway Overhead Contact Line Interacting With Pantograph Considering Local Dropper Defect.
IEEE Trans. Veh. Technol.
Yang Song, Zhigang Liu, Xiaobing Lu
2020 J jnl
Effective Measures to Improve Current Collection Quality for Double Pantographs and Catenary Based on Wave Propagation Analysis.
IEEE Trans. Veh. Technol.
Zhao Xu, Yang Song, Zhigang Liu
2019 J jnl
Random Response Analysis of Axle-Box Bearing of a High-Speed Train Excited by Crosswinds and Track Irregularities.
IEEE Trans. Veh. Technol.
Zhiwei Wang, Yang Song, Zhonghui Yin, Ruichen Wang, Weihua Zhang
2017 J jnl
Ensemble EMD-based signal denoising using modified interval thresholding.
IET Signal Process.
Hongrui Wang, Zhigang Liu, Yang Song, Xiaobing Lu
2017 J jnl
Prior-Information-Based Finite-Frequency H
IEEE Trans. Veh. Technol.
Xiaobing Lu, Zhigang Liu, Jing Zhang, Hongrui Wang, Yang Song, Fuchuan Duan
2016 J jnl
Detection of Contact Wire Irregularities Using a Quadratic Time-Frequency Representation of the Pantograph-Catenary Contact Force.
IEEE Trans. Instrum. Meas.
Hongrui Wang, Zhigang Liu, Yang Song, Xiaobing Lu, Zhiwei Han, Jing Zhang, Ying Wang
2016 J jnl
Ensemble EMD-Based Automatic Extraction of the Catenary Structure Wavelength From the Pantograph-Catenary Contact Force.
IEEE Trans. Instrum. Meas.
Zhigang Liu, Hongrui Wang, Rolf P. B. J. Dollevoet, Yang Song, Alfredo Núñez, Jing Zhang

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.