Yanxuan Yu

16 papers A* 1A 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaCorrection: Adaptive Offset Cache Correction for Accurate Diffusion Transformers. CoRR Dong Liu, Yanxuan Yu, Ben Lengerich, Ying Nian Wu
2026	A	`conf`	CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM Serving. FPGA Dong Liu, Yanxuan Yu
2026	J	`jnl`	MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning. CoRR Dong Liu, Yanxuan Yu, Ben Lengerich, Ying Nian Wu
2025	J	`jnl`	Boundary-Aware Adversarial Filtering for Reliable Diagnosis under Extreme Class Imbalance. CoRR Yanxuan Yu, Michael S. Hughes, Julien Lee, Jiacheng Zhou, Andrew F. Laine
2025	J	`jnl`	CSV-Decode: Certifiable Sub-Vocabulary Decoding for Efficient Large Language Model Inference. CoRR Dong Liu, Yanxuan Yu, Ben Lengerich
2025	J	`jnl`	CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM Serving. CoRR Dong Liu, Yanxuan Yu
2025	J	`jnl`	Cognitive Load Traces as Symbolic and Visual Accounts of Deep Model Cognition. CoRR Dong Liu, Yanxuan Yu
2025	J	`jnl`	FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation. CoRR Dong Liu, Jiayi Zhang, Yifan Li, Yanxuan Yu, Ben Lengerich, Ying Nian Wu
2025	J	`jnl`	HSGM: Hierarchical Segment-Graph Memory for Scalable Long-Text Semantics. CoRR Dong Liu, Yanxuan Yu
2025	J	`jnl`	PiKV: KV Cache Management System for Mixture of Experts. CoRR Dong Liu, Yanxuan Yu, Ben Lengerich, Ying Nian Wu, Xuhong Wang
2025	J	`jnl`	QuickMerge++: Fast Token Merging with Autoregressive Prior. CoRR Dong Liu, Yanxuan Yu
2025	J	`jnl`	SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling. CoRR Dong Liu, Yanxuan Yu
2025	A*	`conf`	TinyServe: Query-Aware Cache Selection for Efficient LLM Serving. ACM Multimedia Dong Liu, Yanxuan Yu
2025	J	`jnl`	TinyServe: Query-Aware Cache Selection for Efficient LLM Serving. CoRR Dong Liu, Yanxuan Yu
2025	J	`jnl`	Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search. CoRR Dong Liu, Yanxuan Yu
2024	J	`jnl`	MobileNetV2: A lightweight classification model for home-based sleep apnea screening. CoRR Hui Pan, Yanxuan Yu, Jilun Ye, Xu 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.