Dakuan Lu - RankMe

15 papers A* 1A 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. KDD (1) Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Yinghui Xu, Xihe Qiu
2026	A*	`conf`	GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents. AAAI Chen Chen, Jiawei Shao, Dakuan Lu, Haoyi Hu, Xiangcheng Liu, Hantao Yao, Wu Liu
2026	J	`jnl`	GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents. CoRR Chen Chen, Jiawei Shao, Dakuan Lu, Haoyi Hu, Xiangcheng Liu, Hantao Yao, Wu Liu
2025	J	`jnl`	AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. CoRR Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Xihe Qiu, Wei Chu, Yinghui Xu, Yuan Qi
2025	—	`conf`	Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. EMNLP (Findings) Rui Xu, Mingyu Wang, Xintao Wang, Dakuan Lu, Xiaoyu Tan, Wei Chu, Yinghui Xu
2025	J	`jnl`	Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. CoRR Rui Xu, Mingyu Wang, Xintao Wang, Dakuan Lu, Xiaoyu Tan, Wei Chu, Yinghui Xu
2025	J	`jnl`	ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints. CoRR Rui Xu, Dakuan Lu, Zicheng Zhao, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Yinghui Xu
2025	J	`jnl`	SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain. CoRR Dakuan Lu, Xiaoyu Tan, Rui Xu, Tianchu Yao, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	ScRPO: From Errors to Insights. CoRR Lianrui Li, Dakuan Lu, Jiawei Shao, Chi Zhang, Xuelong Li
2025	J	`jnl`	The Law of Multi-Model Collaboration: Scaling Limits of Model Ensembling for Large Language Models. CoRR Dakuan Lu, Jiaqi Zhang, Cheng Yuan, Jiawei Shao, Chi Zhang, Xuelong Li
2024	J	`jnl`	ConcEPT: Concept-Enhanced Pre-Training for Language Models. CoRR Xintao Wang, Zhouhong Gu, Jiaqing Liang, Dakuan Lu, Yanghua Xiao, Wei Wang
2024	J	`jnl`	MINDECHO: Role-Playing Language Agents for Key Opinion Leaders. CoRR Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, Yinghui Xu
2024	A	`conf`	Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources. CIKM Yipei Xu, Dakuan Lu, Jiaqing Liang, Jin Zhao, Xintao Wang, Hengkui Wu, Ken Chen, Liujiang Liu, Yingsi Xin, Xuepeng Liu, Yanghua Xiao, Zhixu Li
2023	J	`jnl`	BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark. CoRR Dakuan Lu, Hengkui Wu, Jiaqing Liang, Yipei Xu, Qianyu He, Yipeng Geng, Mengkun Han, Yingsi Xin, Yanghua Xiao
2023	J	`jnl`	Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources. CoRR Yipei Xu, Dakuan Lu, Jiaqing Liang, Xintao Wang, Yipeng Geng, Yingsi Xin, Hengkui Wu, Ken Chen, ruiji zhang, Yanghua Xiao

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.