Tao Gao - RankMe

14 papers C 1Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Pruning Fuzzy Neural Network Using Group Sparsity Regularization. FSDM Xin Yuan, Jun Yang, Fuxi Wang, Yongyong Xu, Tao Gao
2024	—	`conf`	Regularized Fuzzy Neural Network based Classifier for High Dimensional Problems. ASCC Fuxi Wang, Jun Yang, Zhongli Shen, Xingjian Liu, Guangdong Xue, Tao Gao
2023	J	`jnl`	A smoothing Group Lasso based interval type-2 fuzzy neural network for simultaneous feature selection and system identification. Knowl. Based Syst. Tao Gao, Chen Wang, Jin Zheng, Guoqiang Wu, Xin Ning, Xiao Bai, Jun Yang, Jian Wang
2022	J	`jnl`	A modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis. Pattern Recognit. Tao Gao, Xiao Bai, Chen Wang, Liang Zhang, Jin Zheng, Jian Wang
2022	J	`jnl`	Sensitivity analysis of Takagi-Sugeno fuzzy neural network. Inf. Sci. Jian Wang, Qin Chang, Tao Gao, Kai Zhang, Nikhil R. Pal
2021	J	`jnl`	A modified conjugate gradient-based Elman neural network. Cogn. Syst. Res. Long Li, Xuetao Xie, Tao Gao, Jian Wang
2021	—	`conf`	Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization. SSCI Tao Gao, Xiao Bai, Liang Zhang, Jian Wang
2020	J	`jnl`	A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis. Inf. Sci. Tao Gao, Xiaoling Gong, Kai Zhang, Feng Lin, Jian Wang, Tingwen Huang, Jacek M. Zurada
2019	—	`conf`	An Improved Ant Colony Optimization Algorithm Based on Fractional Order Memory for Traveling Salesman Problems. SSCI Xiaoling Gong, Ziheng Rong, Tao Gao, Yifei Pu, Jian Wang
2019	J	`jnl`	Conjugate gradient-based Takagi-Sugeno fuzzy neural network parameter identification and its convergence analysis. Neurocomputing Tao Gao, Zhen Zhang, Qin Chang, Xuetao Xie, Peng Ren, Jian Wang
2018	C	`conf`	A New Parameter Identification Method for Type-1 TS Fuzzy Neural Network. ISNN Tao Gao, Long Li, Zhen Zhang, Zhanquan Sun, Jian Wang
2018	J	`jnl`	A Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and its Convergence. IEEE Access Tao Gao, Jian Wang, Bingjie Zhang, Huaqing Zhang, Peng Ren, Nikhil R. Pal
2018	—	`conf`	An Efficient Elman Neural Networks Based on Improved Conjugate Gradient Method with Generalized Armijo Search. ICIC (1) Mingyue Zhu, Tao Gao, Bingjie Zhang, Qingying Sun, Jian Wang
2017	—	`conf`	An Improved Conjugate Gradient Neural Networks Based on a Generalized Armijo Search Method. ICONIP (4) Bingjie Zhang, Tao Gao, Long Li, Zhanquan Sun, Jian Wang

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.