Lanfeng Zhou

16 papers Journal 8Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Location of acupuncture points based on graph convolution and 3D deep learning in virtual humans. Comput. Animat. Virtual Worlds Xiaoyun Ji, Lanfeng Zhou
2022	—	`conf`	Monocular Human Body Shape Estimation: A Generation-aid Approach. VRCAI Lanfeng Zhou, Xiaoyun Ji, Ling Li
2022	J	`jnl`	Vision sensor-based SLAM problem for small UAVs in dynamic indoor environments. Comput. Animat. Virtual Worlds Lanfeng Zhou, Mingyue Kong, Ziwei Liu, Ling Li
2021	J	`jnl`	Research on improved hough algorithm and its application in lunar crater. J. Intell. Fuzzy Syst. Lanfeng Zhou, Ling Li
2020	J	`jnl`	Terrain Classification Algorithm for Lunar Rover Using a Deep Ensemble Network with High-Resolution Features and Interdependencies between Channels. Wirel. Commun. Mob. Comput. Lanfeng Zhou, Ziwei Liu, Wenfeng Wang
2017	—	`conf`	A hybrid collaborative filtering recommendation model-based on complex attribute of goods. SPAC Lanfeng Zhou, Hanwei Tang, Tianzhen Dong
2017	—	`conf`	An Improved Ant Colony Algorithm of Three Dimensional Path Planning. ISCID (1) Weijie Qian, Lanfeng Zhou
2017	—	`conf`	An ant colony optimization algorithm for three dimensional path planning. SPAC Lanfeng Zhou, Weijie Qian, Guogang Cao
2017	J	`jnl`	Improvement on LEACH Agreement of Mine Wireless Sensor Network. J. Robotics Netw. Artif. Life Yunxiang Liu, Wei Zhang, Lanfeng Zhou
2017	—	`conf`	People counting based on improved gauss process regression. SPAC Wenju Li, Yunfan Lu, Jingyi Sun, Qi Chen, Tianzhen Dong, Lanfeng Zhou, Qing Zhang, Lihua Wei
2017	—	`conf`	Research of image segmentation based on theory of morphological connectivity. SPAC Tianzhen Dong, Mingyang Qin, Wenju Li, Lanfeng Zhou, Xiao Qi
2017	—	`conf`	Research on path planning algorithm and its application based on terrain slope for slipping prediction in complex terrain environment. SPAC Lanfeng Zhou, Lina Yang, Hanwei Tang
2017	—	`conf`	Research on slipping prediction algorithm based on terrain slope in complex terrain environment. SPAC Lanfeng Zhou, Weijie Qian, Wei Xu
2012	J	`jnl`	An Approach To Navigation For Lunar Rover Based On Virtual Reality Technology. J. Softw. Lanfeng Zhou, Jian Jiang
2012	J	`jnl`	An Approach To Safe Path Planning For Mobile Robot In The Dynamic Environment Based On Compact Maps. J. Comput. Lanfeng Zhou, Jian Jiang
2012	J	`jnl`	Navigation Approach For Lunar Rover Based On Slip Prediction. J. Softw. Lanfeng Zhou, Jian Jiang

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.