Lanxiang Zheng

17 papers A 3Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	6DMFGS: Accurate One-shot 6D Pose Estimation via Multi-scale Feature Fusion and 3D Gaussian Splatting. PRCV (11) Xiangyu Liu, Haotian Lei, Guo Niu, Suwei Ye, Lanxiang Zheng, Jianqi Liu, Yuexia Zhou, Fuhe Liu, Yuankang Lv, Yanhan Gu
2025	J	`jnl`	AAGE: Air-Assisted Ground Robotic Autonomous Exploration in Large-Scale Unknown Environments. IEEE Trans. Robotics Lanxiang Zheng, Mingxin Wei, Ruidong Mei, Kai Xu, Junlong Huang, Hui Cheng
2025	A	`conf`	FASTEX: Fast UAV Exploration in Large-Scale Environments Using Dynamically Expanding Grids and Coverage Paths. IROS Xiaoxun Zhang, Peiming Duan, Lanxiang Zheng, Junlong Huang, Hui Cheng
2025	J	`jnl`	GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments. CoRR Lanxiang Zheng, Ruidong Mei, Mingxin Wei, Hao Ren, Hui Cheng
2025	J	`jnl`	Meta-Learning Enhanced Model Predictive Contouring Control for Agile and Precise Quadrotor Flight. IEEE Trans. Robotics Mingxin Wei, Lanxiang Zheng, Ying Wu, Ruidong Mei, Hui Cheng
2025	A	`conf`	SFExplorer: A Surface-Frontier-based Efficient UAV Exploration Method for Large-Scale Unknown Environments. IROS Peiming Duan, Xiaoxun Zhang, Lanxiang Zheng, Junlong Huang, Jiahui Liang, Hui Cheng
2024	J	`jnl`	Adaptive Neural Network-Based Model Path-Following Contouring Control for Quadrotor Under Diversely Uncertain Disturbances. IEEE Robotics Autom. Lett. Mingxin Wei, Lanxiang Zheng, Hongli Li, Hui Cheng
2024	—	`conf`	Online Learning-based Model Predictive Control for Quadrotors Under Uncertain Wind Disturbances. ICCIR Mingxin Wei, Min Li, Bingzhi Zou, Lanxiang Zheng
2024	J	`jnl`	Real-Time Efficient Environment Compression and Sharing for Multi-Robot Cooperative Systems. IEEE Trans. Intell. Veh. Lanxiang Zheng, Kai Xu, Jinqi Jiang, Mingxin Wei, Boyu Zhou, Hui Cheng
2024	J	`jnl`	Safe Learning-Based Control for Multiple UAVs Under Uncertain Disturbances. IEEE Trans Autom. Sci. Eng. Mingxin Wei, Lanxiang Zheng, Ying Wu, Han Liu, Hui Cheng
2024	—	`conf`	Trajectory Planning for Multi-UAV in Complex Unknown Environments. ICCIR Lanxiang Zheng, Min Li, Bingzhi Zou, Mingxin Wei
2024	A	`conf`	VRExplorer: An Efficient View-Region based Autonomous Exploration Method in Unknown Environments for UAV. IROS Kai Xu, Lanxiang Zheng, Mingxin Wei, Hui Cheng
2020	J	`jnl`	Numerical simulation of three dimensional flow in Yazidang Reservoir based on image processing. J. Intell. Fuzzy Syst. Lingxiao Huang, Qiao Qiao, Lanxiang Zheng, Libo Liu, Wenjuan Zhao, Hefang Jing, Chunguang Li
2020	J	`jnl`	UAV Positioning Based on Multi-Sensor Fusion. IEEE Access Jing Peng, Ping Zhang, Lanxiang Zheng, Jia Tan
2019	J	`jnl`	Approach to terrain pretreatment for the Yazidang reservoir based on image processing. Int. J. Inf. Commun. Technol. Lingxiao Huang, Lanxiang Zheng, Hefang Jing, Xuande Zhang, Chunguang Li
2019	J	`jnl`	The Obstacle Detection Method of UAV Based on 2D Lidar. IEEE Access Lanxiang Zheng, Ping Zhang, Jia Tan, Fang Li
2019	—	`conf`	The UAV Path Planning Method Based on Lidar. ICIRA (3) Lanxiang Zheng, Ping Zhang, Jia Tan, Mingxuan Chen

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.