Zequn Xie

11 papers A* 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CONQUER: Context-Aware Representation with Query Enhancement for Text-Based Person Search. CoRR Zequn Xie
2026	J	`jnl`	Delving Deeper: Hierarchical Visual Perception for Robust Video-Text Retrieval. CoRR Zequn Xie, Boyun Zhang, Yuxiao Lin, Tao Jin
2026	J	`jnl`	HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval. CoRR Zequn Xie, Xin Liu, Boyun Zhang, Yuxiao Lin, Sihang Cai, Tao Jin
2026	J	`jnl`	Mitigating Hallucination on Hallucination in RAG via Ensemble Voting. CoRR Zequn Xie, Zhengyang Sun
2026	J	`jnl`	PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms. CoRR Wei Wang, Tianyu Shi, Shuai Zhang, Boyang Xia, Zequn Xie, Chenyu Zeng, Qi Zhang, Lynn Ai, Yaqi Yu, Kaiming Zhang, Feiyue Tang
2026	A*	`conf`	Scene-Aware Spatiotemporal Generalization: Towards Robust Temporal Action Detection Across Domains. AAAI Fangming Feng, Sihang Cai, Zequn Xie, Yangyang Wu, Tao Jin
2026	J	`jnl`	WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning. CoRR Junjie Wang, Zequn Xie, Dan Yang, Jie Feng, Yue Shen, Duolin Sun, Meixiu Long, Yihan Jiao, Zhehao Tan, Jian Wang, Peng Wei, Jinjie Gu
2025	A*	`conf`	Chat-Driven Text Generation and Interaction for Person Retrieval. EMNLP Zequn Xie, Chuxin Wang, Yeqiang Wang, Sihang Cai, Shulei Wang, Tao Jin
2025	J	`jnl`	Chat-Driven Text Generation and Interaction for Person Retrieval. CoRR Zequn Xie, Chuxin Wang, Sihang Cai, Yeqiang Wang, Shulei Wang, Tao Jin
2025	J	`jnl`	Dynamic Uncertainty Learning with Noisy Correspondence for Text-Based Person Search. CoRR Zequn Xie, Haoming Ji, Lingwei Meng
2025	J	`jnl`	Integrated Planning and Machine-Level Scheduling for High-Mix Discrete Manufacturing: A Profit-Driven Heuristic Framework. CoRR Runhao Liu, Ziming Chen, You Li, Zequn Xie, Peng 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.

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.