Yan Wang - RankMe

30 papers C 2Journal 9Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Target Tracking for Muscle-Skeleton Robotic Arm Using Large Language Model-Enhanced Reinforcement Learning. IEEE Trans. Instrum. Meas. Yan Wang, Qiang Wang, Jianyin Fan
2025	—	`conf`	Vision-based Task Learning and Manipulation for Humanoid Muscle-skeleton Robotic Arm. I2MTC Yan Wang, Jianyin Fan, Qiang Wang
2024	—	`conf`	High Accuracy Target Tracking System Based on Muscle-skeleton Robotic Arm. I2MTC Yan Wang, Qiang Wang, Jianyin Fan
2024	C	`conf`	High-Precision Control of Humanoid Muscle-skeleton Robotic Arm Using Reinforcement Learning and Large Language Models. IECON Yan Wang, Qiang Wang, Jianyin Fan
2022	J	`jnl`	Rail Steel Health Analysis Based on a Novel Genetic Density-based Clustering Technique and Manifold Representation of Acoustic Emission Signals. Appl. Artif. Intell. Kangwei Wang, Xin Zhang, Shuzhi Song, Yan Wang, Yi Shen, Paul D. Wilcox
2019	J	`jnl`	Application of improved least-square generative adversarial networks for rail crack detection by AE technique. Neurocomputing Kangwei Wang, Xin Zhang, Qiushi Hao, Yan Wang, Yi Shen
2019	J	`jnl`	Interval Observer Design for Discrete-Time Uncertain Takagi-Sugeno Fuzzy Systems. IEEE Trans. Fuzzy Syst. Jitao Li, Zhenhua Wang, Yi Shen, Yan Wang
2018	—	`conf`	AE detection of crack signal in tank shell using the multi-sensors with adaptive weighted fusion method. I2MTC Xin Zhang, Zhiyi Tang, Qiushi Hao, Yan Wang, Yi Shen, Hengshan Hu
2018	—	`conf`	An improved recovery method of rail crack signal based on least-square deconvolution algorithm with sectional regulatory factors. I2MTC Kangwei Wang, Xin Zhang, Ruidong Han, Yan Wang, Yi Shen
2017	—	`conf`	An improved method of rail health monitoring based on CNN and multiple acoustic emission events. I2MTC Xin Zhang, Kangwei Wang, Yan Wang, Yi Shen, Hengshan Hu
2017	—	`conf`	Photoacoustic tomography based on a novel linear array ultrasound transducer configuration. I2MTC Xiangwei Lin, Guanji Leng, Yi Shen, Yan Wang, Miao Zhang, Mingjian Sun
2017	—	`conf`	Rail crack detection based on the adaptive noise cancellation method of EMD at high speed. I2MTC Xin Zhang, Yan Wang, Kangwei Wang, Yi Shen, Hengshan Hu
2016	—	`conf`	Electric differential control for electric vehicles based on EMD method. I2MTC Yiming Cui, Yi Shen, Xin Zhang, Yan Wang, Miao Zhang
2015	—	`conf`	An investigation on rail health monitoring using acoustic emission technique by tensile test. I2MTC Xin Zhang, Naizhang Feng, Zhongxian Zou, Yan Wang, Yi Shen
2015	—	`conf`	De-noising of rail crack AE signal based on wavelet modulus maxima. I2MTC Qiushi Hao, Yan Wang, Yi Shen, Xin Zhang
2015	—	`conf`	Rail health monitoring using acoustic emission technique based on NMF and RVM. I2MTC Naizhang Feng, Xin Zhang, Zhongxian Zou, Yan Wang, Yi Shen
2015	J	`jnl`	Regularized multivariable grey model for stable grey coefficients estimation. Expert Syst. Appl. Zhi He, Yi Shen, Junbao Li, Yan Wang
2014	—	`conf`	Artificial immune algorithm based signal reconstruction for compressive sensing. I2MTC Dan Li, Chunli Shi, Qiang Wang, Yi Shen, Yan Wang
2014	—	`conf`	Feature selection and classification algorithm for non-destructive detecting of high-speed rail defects based on vibration signals. I2MTC Mingjian Sun, Yan Wang, Xin Zhang, Yipeng Liu, Qiang Wei, Yi Shen, Naizhang Feng
2014	—	`conf`	Hyperspectral image classification with multivariate empirical mode decomposition-based features. I2MTC Zhi He, Miao Zhang, Yi Shen, Qiang Wang, Yan Wang, Renlong Yu
2014	J	`jnl`	Optimized Ensemble EMD-Based Spectral Features for Hyperspectral Image Classification. IEEE Trans. Instrum. Meas. Zhi He, Yi Shen, Qiang Wang, Yan Wang
2014	—	`conf`	Spectral-spatial hyperspectral image classification via SVM and superpixel segmentation. I2MTC Zhi He, Yue Shen, Miao Zhang, Qiang Wang, Yan Wang, Renlong Yu
2013	—	`conf`	An optimization-based ensemble EMD for classification of hyperspectral images. I2MTC Yi Shen, Zhi He, Xiaoshuai Li, Qiang Wang, Miao Zhang, Yan Wang
2013	J	`jnl`	Discrete multivariate gray model based boundary extension for bi-dimensional empirical mode decomposition. Signal Process. Zhi He, Qiang Wang, Yi Shen, Yan Wang
2013	—	`conf`	Fault detection method based on HHT for spacecraft mono-propellant propulsion system. I2MTC Miao Zhang, Zhenzhou Lai, Dan Li, Yibo Wang, Yi Shen, Yan Wang
2013	—	`conf`	GA-BFO based signal reconstruction for compressive sensing. ICIA Dan Li, Muyu Li, Yi Shen, Yan Wang, Qiang Wang
2013	J	`jnl`	Multivariate Gray Model-Based BEMD for Hyperspectral Image Classification. IEEE Trans. Instrum. Meas. Zhi He, Qiang Wang, Yi Shen, Jing Jin, Yan Wang
2013	—	`conf`	Rail defect detection based on vibration acceleration signals. I2MTC Qiang Wei, Xin Zhang, Yan Wang, Naizhang Feng, Yi Shen
2012	J	`jnl`	End Effects Mitigation for Empirical Mode Decomposition with nonlinear Gray Model. Adv. Data Sci. Adapt. Anal. Zhi He, Yi Shen, Qiang Wang, Yan Wang
2004	C	`conf`	Measure and DMC control of battery separator thickness uniformity. ICARCV Zhi Lin Zhang, Yi Shen, Yan Wang

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.