Zexi Lin

11 papers A* 1Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Interpretable Video based Stress Detection with Self-Refine Chain Reasoning. ICDE Yi Dai, Yang Ding, Lei Cao, Kaisheng Zeng, Junrui Tian, Zexi Lin, Ling Feng
2025	J	`jnl`	Keyframes selection from multiscene videos for stress detection. Inf. Process. Manag. Junrui Tian, Zexi Lin, Yi Dai, Yang Ding, Jinlei Liu, Lei Cao, Ling Feng
2025	—	`conf`	Leveraging Lesion Priors to Enhance Detection of New Multiple Sclerosis Lesions. BIBM Chunyan Yu, Shengbiao Huang, Jiannan You, Wanjian Xu, Zexi Lin, Zejie Yan
2025	—	`conf`	SLFCNet: Brain Tumor Segmentation Architecture for Incomplete MRI via Shared Latent Feature Compensation. BIBM Chunyan Yu, Wanjian Xu, Zexi Lin, Shengbiao Huang, Zejie Yan, Jiannan You
2025	—	`conf`	Semantic-Guided Artifact-Aware Diffusion Model for Self-Supervised Low-Dose CT Denoising. BIBM Chunyan Yu, Zexi Lin, Wanjian Xu, Shengbiao Huang, Zejie Yan, Jiannan You
2025	—	`conf`	Severity-Aware Radiology Report Generation: Knowledge Graph Expansion and Momentum-Guided Classification Enhancement. BIBM Chunyan Yu, Jiannan You, Shengbiao Huang, Zejie Yan, Wanjian Xu, Zexi Lin
2025	—	`conf`	Uncertainty Calibration in Social Media-Driven Online Continuous Suicide Risk Prediction. ICDM (Workshops) Zexi Lin, Junrui Tian, Yi Dai, Yang Ding, Ling Feng
2024	J	`jnl`	Laziness, barren plateau, and noises in machine learning. Mach. Learn. Sci. Technol. Junyu Liu, Zexi Lin, Liang Jiang
2024	J	`jnl`	PatentGrapher: A PLM-GNNs Hybrid Model for Comprehensive Patent Plagiarism Detection Across Full Claim Texts. IEEE Access Yongluo Shen, Zexi Lin
2023	J	`jnl`	Non-zero-sum Game Control for Multi-vehicle Driving via Reinforcement Learning. CoRR Xujie Song, Zexi Lin
2022	J	`jnl`	Laziness, Barren Plateau, and Noise in Machine Learning. CoRR Junyu Liu, Zexi Lin, Liang Jiang

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.