Ran Bai

12 papers B 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Chinese Morph Resolution in E-commerce Live Streaming Scenarios. NAACL (Industry Track) Jiahao Zhu, Jipeng Qiang, Ran Bai, Chenyu Liu, Xiaoye Ouyang
2025	J	`jnl`	Chinese Morph Resolution in E-commerce Live Streaming Scenarios. CoRR Jiahao Zhu, Jipeng Qiang, Ran Bai, Chenyu Liu, Xiaoye Ouyang
2025	J	`jnl`	Offline Detection of Violations in Chinese E-Commerce Live Streaming Content. IEEE Access Xiaohan Liu, Chenyu Liu, Ran Bai, Liu Yuan, Yanquan Zhou, Minjiang Huang, Jipeng Qiang
2025	J	`jnl`	Optimizing keyphrase extraction with dependency relation-aware attention graph convolutional networks. J. Supercomput. Yuyu Dong, Fang'ai Liu, Xuqiang Zhuang, Ran Bai, Xuejian Gao
2024	—	`conf`	A Hybrid Model for Dengue Epidemic Prediction. ISAIMS Yanguo Zhou, Liu Yuan, Ran Bai, Chenyu Liu, Yi Zhang
2024	J	`jnl`	MICRank: Multi-information interconstrained keyphrase extraction. Expert Syst. Appl. Ran Bai, Fang'ai Liu, Xuqiang Zhuang, Yaoyao Yan
2024	J	`jnl`	Multi-agent deep reinforcement learning based multiple access for underwater cognitive acoustic sensor networks. Comput. Electr. Eng. Yuzhi Zhang, Xiang Han, Ran Bai, Menglei Jia
2022	B	`conf`	EPI-CGAN: Robust EEG-based Person Identification Using Conditional Generative Adversarial Network. IJCB Rui Jin, Yingxue Wang, Ran Bai, Haiyong Xie, Gang Wang
2021	—	`conf`	Q-Learning based Dynamic Cooperative Communication in Time Varying Underwater Acoustic Channels. ICCC Workshops Yue Su, Yuzhi Zhang, Ran Bai, Yang Liu, Bin Wang, Yanjing Sun
2020	—	`conf`	Practical Range Counting over Data Streams. IEEE BigData Ran Bai, Ziliang Lai, Eric Lo, Wing-Kai Hon, Pengfei Zhang
2019	J	`jnl`	Historic Moments Discovery in Sequence Data. ACM Trans. Database Syst. Ran Bai, Wing-Kai Hon, Eric Lo, Zhian He, Kenny Q. Zhu
2011	J	`jnl`	A FMCW Radar Distance Measure System based on LabVIEW. J. Comput. Zengrong Zhao, Ran Bai

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.