Fan Tong

11 papers Journal 2Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network. BMC Bioinform. Xiangwen Zheng, Xuan-Ze Wang, Xiaowei Luo, Fan Tong, Dongsheng Zhao
2022	—	`conf`	An Efficient and User-Friendly Software for PCR Primer Design for Detection of Highly Variable Bacteria. ISBRA Dongzheng Hu, Wubin Qu, Fan Tong, Xiangwen Zheng, Jiangyu Li, Dongsheng Zhao
2022	J	`jnl`	BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework. BMC Bioinform. Xiangwen Zheng, Haijian Du, Xiaowei Luo, Fan Tong, Wei Song, Dongsheng Zhao
2021	—	`conf`	CIDO-COVID-19: An Ontology for COVID-19 Based on CIDO. EMBC Yu Xiao, Xiangwen Zheng, Wei Song, Fan Tong, Yiqing Mao, Sheng Liu, Dongsheng Zhao
2021	—	`conf`	COVID19-OBKG: An Ontology-Based Knowledge Graph and Web Service for COVID-19. BIBM Xiangwen Zheng, Yu Xiao, Wei Song, Fan Tong, Sheng Liu, Dongsheng Zhao
2021	—	`conf`	SCOPE2: A Platform for Sars-COv-2 Primer covErage Evaluation. EMBC Fan Tong, Jiangyu Li, Wubin Qu, Wei Song, Dongsheng Zhao
2020	—	`conf`	A Novel Algorithm of Expansion Term Selection and Weight Assignment for Query Expansion of Chinese EMR Retrieval. BIBM Songchun Yang, Xiangwen Zheng, Fan Tong, Huajian Mao, Dongsheng Zhao
2020	—	`conf`	BROGUE: A Platform for Constructing and Visualizing "Gene-Mutation-Disease" Relation Knowledge Graphs to Support Biomedical Research and Clinical Decisions. BIOINFORMATICS Dongsheng Zhao, Fan Tong, Zheheng Luo, Sheng Liu, Wei Song
2019	—	`conf`	Construct Semantic Type of "Gene-mutation-disease" Relation by Computer-aided Curation from Biomedical Literature. BIOINFORMATICS Dongsheng Zhao, Fan Tong, Zheheng Luo
2018	—	`conf`	Using deep neural network to recognize mutation entities in biomedical literature. BIBM Fan Tong, Zheheng Luo, Dongsheng Zhao
2017	—	`conf`	A deep network based integrated model for disease named entity recognition. BIBM Fan Tong, Zheheng Luo, Dongsheng Zhao

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.