Yanru Liu

16 papers B 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-Scenario Identification Strategy for High-Risk Vehicles Based on Vehicle Networking Data. IEEE Trans. Intell. Transp. Syst. Yanru Liu, Zhao Jingshuo, Zhong Yicong, Li Jielin, Pei Ling, Liu Yu
2024	J	`jnl`	An integrated system to significant wave height prediction: Combining feature engineering, multi-criteria decision making, and hybrid kernel density estimation. Expert Syst. Appl. Kang Wang, Yanru Liu, Qianyi Xing, Yuansheng Qian, Jianzhou Wang, Mengzheng Lv
2024	J	`jnl`	Conflict-free coordination planning for multiple automated guided vehicles in an intelligent warehousing system. Simul. Model. Pract. Theory Wei Xie, Xiongfeng Peng, Yanru Liu, Junhai Zeng, Lili Li, Toshio Eisaka
2024	J	`jnl`	The analysis of Iris image acquisition and real-time detection system using convolutional neural network. J. Supercomput. Yanru Liu, Jiali Xu, Austin Lin Yee
2023	J	`jnl`	Multi-Scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors. ISPRS Int. J. Geo Inf. Ying Sun, Yuefeng Lu, Ziqi Ding, Qiao Wen, Jing Li, Yanru Liu, Kaizhong Yao
2022	J	`jnl`	A deep-shallow and global-local multi-feature fusion network for photometric stereo. Image Vis. Comput. Yanru Liu, Yakun Ju, Muwei Jian, Feng Gao, Yuan Rao, Yeqi Hu, Junyu Dong
2022	J	`jnl`	A spatio-temporal constrained hierarchical scheduling strategy for multiple warehouse mobile robots under industrial cyber-physical system. Adv. Eng. Informatics Yindong Lian, Qifan Yang, Yanru Liu, Wei Xie
2022	—	`conf`	Application of Big Data Technology and Computer Aided Technology in Product Design. CIPAE Yanru Liu
2022	J	`jnl`	Improved Coding Landmark-Based Visual Sensor Position Measurement and Planning Strategy for Multiwarehouse Automated Guided Vehicle. IEEE Trans. Instrum. Meas. Yindong Lian, Wei Xie, Qifan Yang, Yanru Liu, Yibin Yang, Ai-Guo Wu, Toshio Eisaka
2022	—	`conf`	User Satisfaction Oriented Elastic Charging Strategy for Electric Vehicles. HPCC/DSS/SmartCity/DependSys Lei Sun, Yanru Liu, Kangwei Lin, Changqing Xia, Qingxu Deng
2022	J	`jnl`	Weight-sharing network structure based on multi-channel EEG time-frequency map. Biomed. Signal Process. Control. Yanru Liu, Sen Zhang, Wendong Xiao, Bochao Zhao
2021	J	`jnl`	An artificial intelligence and machine vision based evaluation of physical education teaching. J. Intell. Fuzzy Syst. Yanru Liu
2021	B	`conf`	Construction of College English Blended Teaching Mode Based on Xuexi Tong. IPEC Yanru Liu
2019	J	`jnl`	Applying Machine Learning to Identify Autism With Restricted Kinematic Features. IEEE Access Zhong Zhao, Xiaobin Zhang, Wenzhou Li, Xinyao Hu, Xingda Qu, Xiaolan Cao, Yanru Liu, Jianping Lu
2019	J	`jnl`	Mixed Schemes for Fourth-Order DIV Equations. Comput. Methods Appl. Math. Ronghong Fan, Yanru Liu, Shuo Zhang
2018	—	`conf`	Indexing Moving Objects Using Query Oriented Parallel Grids. CSAE Kunlun Chen, Yanru Liu, Qingxu Deng

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.