Aaron Xuxiang Tian

11 papers A* 2Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks. CoRR Aaron Xuxiang Tian, Ruofan Zhang, Jiayao Tang, Young Min Cho, Xueqian Li, Qiang Yi, Ji Wang, Zhunping Zhang, Danrui Qi, Zekun Li, Xingyu Xiang, Sharath Chandra Guntuku, Lyle H. Ungar, Tianyu Shi, Chi Wang
2025	A*	`conf`	FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models. AAAI Xinye Yang, Yuxin Yang, Haoran Pang, Aaron Xuxiang Tian, Luking Li
2025	J	`jnl`	Measuring Harmfulness of Computer-Using Agents. CoRR Aaron Xuxiang Tian, Ruofan Zhang, Janet Tang, Jiaxin Wen
2025	J	`jnl`	PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment. CoRR Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian
2025	A*	`conf`	Wcdt: World-Centric Diffusion Transformer for Traffic Scene Generation. ICRA Chen Yang, Yangfan He, Aaron Xuxiang Tian, Dong Chen, Jianhui Wang, Tianyu Shi, Arsalan Heydarian, Pei Liu
2024	—	`conf`	FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning. EMNLP (Industry Track) Aaron Xuxiang Tian, Yi Zhao, Congrui Yin, Wei Zhu, Xing Tian, Yi Ge
2024	—	`conf`	IAPT: Instance-Aware Prompt Tuning for Large Language Models. ACL (1) Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie
2024	J	`jnl`	IAPT: Instruction-Aware Prompt Tuning for Large Language Models. CoRR Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie
2024	J	`jnl`	NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap. CoRR Mingrui Li, Jingwei Huang, Lei Sun, Aaron Xuxiang Tian, Tianchen Deng, Hongyu Wang
2024	—	`conf`	PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment. EMNLP (Industry Track) Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian
2024	J	`jnl`	WcDT: World-centric Diffusion Transformer for Traffic Scene Generation. CoRR Chen Yang, Aaron Xuxiang Tian, Dong Chen, Tianyu Shi, Arsalan Heydarian

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.