Yanping Cao

13 papers C 2Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Identification of immune and major depressive disorder-related diagnostic markers for early nonalcoholic fatty liver disease by WGCNA and machine learning. Frontiers Bioinform. Yuyun Jia, Yanping Cao, Qin Yin, Xueqian Li, Xiu Wen
2024	J	`jnl`	SWENet: A Physics-Informed Deep Neural Network (PINN) for Shear Wave Elastography. IEEE Trans. Medical Imaging Ziying Yin, Guoyang Li, Zhaoyi Zhang, Yang Zheng, Yanping Cao
2023	J	`jnl`	Vegetation Dynamics and Its Trends Associated with Extreme Climate Events in the Yellow River Basin, China. Remote. Sens. Yanping Cao, Zunyi Xie, Xinhe Huang, Mengyang Cui, Wenbao Wang, Qingqing Li
2022	J	`jnl`	Arterial Stiffness Probed by Dynamic Ultrasound Elastography Characterizes Waveform of Blood Pressure. IEEE Trans. Medical Imaging Guoyang Li, Yuxuan Jiang, Yang Zheng, WeiQiang Xu, Zhaoyi Zhang, Yanping Cao
2022	—	`conf`	Research on Reconstruction of Enterprise News Publicity Digital System Based on Collaboration. DMI Deli Zhu, Le He, Yanping Cao, Yiling Liu, Bin Deng, Dan Xu, Jiaming Zhang, Qianfang Cao, Manyi Tan
2020	—	`conf`	Limitation of on Big Data or Nature Language Processing based algorithm for Clinical Decision Artificial Intelligence. ISAIMS Ning Wu, Yanping Cao, Zhuo Chen, Yifan Zhu
2018	—	`conf`	Machine Learning Based High Accuracy Indoor Visible Light Location Algorithm. SmartIoT Xiaoji Li, Yanping Cao, Chen Chen
2017	—	`conf`	Forecasting of coalbed methane (CBM) productivity based on rough set and least squares support vector machine. Geoinformatics Haoming Xia, Yaochen Qin, Lijun Zhang, Yanping Cao, Jiaxing Xu
2015	J	`jnl`	Characterization of the nonlinear elastic properties of soft tissues using the supersonic shear imaging (SSI) technique: Inverse method, ex vivo and in vivo experiments. Medical Image Anal. Yi Jiang, Guoyang Li, Linxue Qian, Xiangdong Hu, Dong Liu, Si Liang, Yanping Cao
2015	J	`jnl`	GRACE Gravity Satellite Observations of Terrestrial Water Storage Changes for Drought Characterization in the Arid Land of Northwestern China. Remote. Sens. Yanping Cao, Zhuotong Nan, Guodong Cheng
2012	C	`conf`	Estimating groundwater storage changes in the Heihe river basin using grace. IGARSS Yanping Cao, Zhuotong Nan, Xinglin Hu
2011	C	`conf`	The Problem about Grey Incidence Cluster Analysis. CIS Yanping Cao, Chunmei Gong
2009	—	`conf`	A Survey of Orthogonal Matrix-Valued Two-Dimensional Wavelet Packets with an Integer Quantity Dilation Matrix. ESIAT (1) Hongwei Gao, Yanping Cao

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.