Yankai Lin

18 papers A* 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution. CoRR Shengda Fan, Xuyan Ye, Yankai Lin
2026	J	`jnl`	Forest Before Trees: Latent Superposition for Efficient Visual Reasoning. CoRR Yubo Wang, Juntian Zhang, Yichen Wu, Yankai Lin, Nils Lukas, Yuhan Liu
2026	J	`jnl`	Secondary safety control for systems with sector bounded nonlinearities. Autom. Yankai Lin, Michelle S. Chong, Carlos Murguia
2025	A*	`conf`	Beyond the Surface: Measuring Self-Preference in LLM Judgments. EMNLP Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, Enrui Hu, Yankai Lin
2025	J	`jnl`	DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models. CoRR Cheng Yin, Yankai Lin, Wang Xu, Sikyuen Tam, Xiangrui Zeng, Zhiyuan Liu, Zhouping Yin
2025	J	`jnl`	Modified Control Barrier Function for Quadratic Program Based Control Design via Sum-of-Squares Programming. CoRR Yankai Lin, Michelle S. Chong, Carlos Murguia
2025	J	`jnl`	Secondary Safety Control for Systems with Sector Bounded Nonlinearities [Extended Version]. CoRR Yankai Lin, Michelle S. Chong, Carlos Murguia
2025	J	`jnl`	Stochastic Coordinate Descent via Regret Minimization. IEEE Control. Syst. Lett. Yankai Lin, Xiaopuwen Wang
2024	J	`jnl`	Online convex optimization using coordinate descent algorithms. Autom. Yankai Lin, Iman Shames, Dragan Nesic
2023	—	`conf`	Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming. CDC Yankai Lin, Michelle S. Chong, Carlos Murguia
2023	J	`jnl`	Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming. CoRR Yankai Lin, Michelle S. Chong, Carlos Murguia
2022	J	`jnl`	Online Convex Optimization Using Coordinate Descent Algorithms. CoRR Yankai Lin, Iman Shames, Dragan Nesic
2022	J	`jnl`	Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks. CoRR Yankai Lin, Michelle S. Chong, Carlos Murguia
2021	J	`jnl`	Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. CoRR Yankai Lin, Iman Shames, Dragan Nesic
2021	J	`jnl`	Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. IEEE Trans. Control. Netw. Syst. Yankai Lin, Iman Shames, Dragan Nesic
2021	—	`—`	Optimization and security in networked control systems. Yankai Lin
2019	—	`conf`	Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Ascent. CDC Yankai Lin, Iman Shames, Dragan Nesic
2018	—	`conf`	Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption. CDC Yankai Lin, Farhad Farokhi, Iman Shames, Dragan Nesic

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.