Qianren Wang - RankMe

14 papers A* 2Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models. EMNLP (Findings) Zicong Tang, Ziyang Ma, Suqing Wang, Zuchao Li, Lefei Zhang, Hai Zhao, Yun Li, Qianren Wang
2025	J	`jnl`	CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models. CoRR Zicong Tang, Ziyang Ma, Suqing Wang, Zuchao Li, Lefei Zhang, Hai Zhao, Yun Li, Qianren Wang
2025	A*	`conf`	From Parameters to Performance: A Data-Driven Study on LLM Structure and Development. EMNLP Suqing Wang, Zuchao Li, Luohe Shi, Bo Du, Hai Zhao, Yun Li, Qianren Wang
2025	J	`jnl`	From Parameters to Performance: A Data-Driven Study on LLM Structure and Development. CoRR Suqing Wang, Zuchao Li, Luohe Shi, Bo Du, Hai Zhao, Yun Li, Qianren Wang
2025	J	`jnl`	Investigating the Adaptive Robustness with Knowledge Conflicts in LLM-based Multi-Agent Systems. CoRR Tianjie Ju, Bowen Wang, Hao Fei, Mong-Li Lee, Wynne Hsu, Yun Li, Qianren Wang, Pengzhou Cheng, Zongru Wu, Zhuosheng Zhang, Gongshen Liu
2025	—	`conf`	MEGen: Generative Backdoor into Large Language Models via Model Editing. ACL (Findings) Jiyang Qiu, Xinbei Ma, Zhuosheng Zhang, Hai Zhao, Yun Li, Qianren Wang
2025	A*	`conf`	ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models. EMNLP Jiani Guo, Zuchao Li, Jie Wu, Qianren Wang, Yun Li, Lefei Zhang, Hai Zhao, Yu-Jiu Yang
2025	J	`jnl`	ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models. CoRR Jiani Guo, Zuchao Li, Jie Wu, Qianren Wang, Yun Li, Lefei Zhang, Hai Zhao, Yujiu Yang
2024	—	`conf`	Attributed Triple Extraction by Combination Under Contrastive Learning. DASFAA (7) Runzhe Wang, Gaofeng Xu, Guilin Qi, Yun Li, Yongrui Chen, Songlin Zhai, Yuxin Zhang, Rihui Jin, Nijun Li, Qianren Wang
2024	—	`conf`	Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data. NAACL (Industry Track) Dehai Min, Nan Hu, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li, Guilin Qi, Yun Li, Nijun Li, Qianren Wang
2024	J	`jnl`	Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data. CoRR Dehai Min, Nan Hu, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li, Guilin Qi, Yun Li, Nijun Li, Qianren Wang
2024	—	`conf`	Multi-view Transformer-Based Network for Prerequisite Learning in Concept Graphs. ISWC (1) Zhichun Wang, Yifeng Shao, Boci Peng, Bangui Li, Yun Li, Qianren Wang, Nijun Li
2017	J	`jnl`	Ontology-based coupled optimisation design method using state-space analysis for the spindle box system of large ultra-precision optical grinding machine. Enterp. Inf. Syst. Qianren Wang, Xing Chen, Yuehong Yin, Jian Lu
2014	—	`conf`	Ontology-Based Coupled Optimization Design Method Using State-Space Analysis for the Spindle Box System of Large Ultra-Precision Optical Grinding Machine. ES Qianren Wang, Xing Chen, Yuehong Yin, Jian Lu

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.