Qianfeng Wen - RankMe

11 papers A* 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Grounded Chess Reasoning in Language Models via Master Distillation. CoRR Zhenwei Tang, Qianfeng Wen, Seth Grief-Albert, Yahya Elgabra, Blair Yang, Honghua Dong, Ashton Anderson
2025	—	`conf`	A Comparative Study of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters. COLING Workshops Yifan Liu, Gelila Tilahun, Xinxiang Gao, Qianfeng Wen, Michael Gervers
2025	J	`jnl`	A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation. CoRR Qianfeng Wen, Yifan Liu, Justin Cui, Joshua Zhang, Anton Korikov, George-Kirollos Saad, Scott Sanner
2025	J	`jnl`	ChessQA: Evaluating Large Language Models for Chess Understanding. CoRR Qianfeng Wen, Zhenwei Tang, Ashton Anderson
2025	A*	`conf`	MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval. EMNLP Yifan Liu, Qianfeng Wen, Mark Zhao, Jiazhou Liang, Scott Sanner
2025	J	`jnl`	MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval. CoRR Yifan Liu, Qianfeng Wen, Mark Zhao, Jiazhou Liang, Scott Sanner
2025	J	`jnl`	Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments. CoRR Yifan Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner
2024	J	`jnl`	Comparative Analysis of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters. CoRR Yifan Liu, Gelila Tilahun, Xinxiang Gao, Qianfeng Wen, Michael Gervers
2024	J	`jnl`	Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation. CoRR Qianfeng Wen, Yifan Liu, Joshua Zhang, George Saad, Anton Korikov, Yury Sambale, Scott Sanner
2024	—	`conf`	Monte Carlo Tree Search for Behavior Planning in Autonomous Driving. SSRR Qianfeng Wen, Zhongyi Gong, Lifeng Zhou, Zhongshun Zhang
2023	J	`jnl`	Monte-Carlo Tree Search for Behavior Planning in Autonomous Driving. CoRR Qianfeng Wen, Zhongyi Gong, Lifeng Zhou, Zhongshun Zhang

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.