Qian Ruan

11 papers A* 1B 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer Review. CoRR Qian Ruan, Iryna Gurevych
2025	J	`jnl`	Fine-tuning large language models with contrastive margin ranking loss for selective entity matching in product data integration. Adv. Eng. Informatics Qian Ruan, Dachuan Shi, Thomas Bauernhansl
2025	J	`jnl`	Performance of Large Language Models in Complex Anesthesia Decision-Making: A Comparative Study of Four LLMs in High-Risk Patients. J. Medical Syst. Qian Ruan, Jinghong Shi, Yunke Dai, Pingliang Yang, Na Zhu, Shun Wang
2024	A*	`conf`	Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. EMNLP Qian Ruan, Ilia Kuznetsov, Iryna Gurevych
2024	J	`jnl`	Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. CoRR Qian Ruan, Ilia Kuznetsov, Iryna Gurevych
2024	—	`conf`	Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision. ACL (1) Qian Ruan, Ilia Kuznetsov, Iryna Gurevych
2024	J	`jnl`	Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision. CoRR Qian Ruan, Ilia Kuznetsov, Iryna Gurevych
2022	B	`conf`	Generating Extended and Multilingual Summaries with Pre-trained Transformers. LREC Rémi Calizzano, Malte Ostendorff, Qian Ruan, Georg Rehm
2022	—	`conf`	HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information. ACL (Findings) Qian Ruan, Malte Ostendorff, Georg Rehm
2022	J	`jnl`	HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information. CoRR Qian Ruan, Malte Ostendorff, Georg Rehm
2009	—	`conf`	Genetic Algorithm and Tabu Search Hybrid Algorithm to Co-scheduling Model of Three Gorges-Gezhou Dam. ISNN (2) Xiaoping Wang, Qian Ruan

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.