Tao Tang

11 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fusion-Based Off-Grid Direction of Arrival Estimation via Deep Learning With Array Imperfection. IEEE Trans. Veh. Technol. Linqiang Jiang, Tao Tang, Zhidong Wu, Paihang Zhao, Ding Wang
2025	J	`jnl`	Multistation Target Localization via Direction-of-Arrival: An Efficient Multiagent Deep Reinforcement Learning Approach. IEEE Internet Things J. Qiyue Feng, Tao Tang, Yunpu Zhang, Ding Wang, Linqiang Jiang
2025	J	`jnl`	Physical IoU-Based YOLO Network for Shortwave Communication Burst Signal Recognition. IEEE Commun. Lett. Xiaojun Zhu, Yinsen Luan, Paihang Zhao, Tao Tang, Zhidong Wu
2024	J	`jnl`	Fusion of Land-Based and Satellite-Based Localization Using Constrained Weighted Least Squares. Sensors Paihang Zhao, Linqiang Jiang, Tao Tang, Zhidong Wu, Ding Wang
2023	J	`jnl`	A Two-Stage Method for Short-Wave Target Localization Using DOA and TDOA Measurements. IEEE Access Linqiang Jiang, Tao Tang, Zhidong Wu, Paihang Zhao, Ziqiang Zhang
2023	J	`jnl`	An iterative algorithm for the joint estimation of multiple targets and observation stations using direction of arrival and time difference of arrival measurements despite station position errors. IET Signal Process. Linqiang Jiang, Tao Tang, Zhidong Wu, Paihang Zhao, Ziqiang Zhang
2022	J	`jnl`	Coordinated Positioning Method for Shortwave Anti-Multipath Based on Bayesian Estimation. Sensors Tao Tang, Linqiang Jiang, Paihang Zhao, Na-e Zheng
2022	—	`conf`	DOA-TDOA Hybrid Location Based on Weighted Least Squares with Observation Station Position Errors. ICCT Linqiang Jiang, Tao Tang, Paihang Zhao, Ziqiang Zhang
2018	J	`jnl`	Quadratic constrained weighted least-squares method for TDOA source localization in the presence of clock synchronization bias: Analysis and solution. Digit. Signal Process. Ding Wang, Jie-xin Yin, Tao Tang, Xin Chen, Zhidong Wu
2018	J	`jnl`	Robust direct position determination methods in the presence of array model errors. EURASIP J. Adv. Signal Process. Ding Wang, Jiexin Yin, Ruirui Liu, Zhidong Wu, Tao Tang
2018	J	`jnl`	Single-step localization using multiple moving arrays in the presence of observer location errors. Signal Process. Jiexin Yin, Ding Wang, Ying Wu, Tao Tang

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.