Ya-Wei Eileen Lin

14 papers A* 5Misc 2Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks. CoRR Ya-Wei Eileen Lin, Ron Levie
2025	J	`jnl`	Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2025	A*	`conf`	Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. CVPR Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025	J	`jnl`	Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. CoRR Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025	Misc	`conf`	Hyperbolic Distance Based on EMD and Diffusion for Hyperspectral Imaging. ICASSP Elad Lavi, Amir Bourvine, Ya-Wei Eileen Lin, Ronen Talmon
2025	A*	`conf`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. ICLR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2024	A*	`conf`	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. NeurIPS Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
2024	J	`jnl`	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. CoRR Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
2024	Misc	`conf`	Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets. ICASSP Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
2024	J	`jnl`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	A*	`conf`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	J	`jnl`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2021	J	`jnl`	Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. PLoS Comput. Biol. Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt A. Schalper, Yuval Kluger
2021	A*	`conf`	Hyperbolic Procrustes Analysis Using Riemannian Geometry. NeurIPS Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon

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.