Yalei Liu

11 papers A* 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
MIFE: A Multimodal VR Immersive Training System for Fire Escape.
VR
Weijie Liu, Yalei Liu, Jiaxuan Gao, Zixuan Xie, Qiuyu Fu, Lu Lu, Jian Ma, Kun Li
2025 — conf
Lunar Twins: We Choose to Go to the Moon with Large Language Models.
ACL (Findings)
Xin-Yu Xiao, Yalei Liu, Xiangyu Liu, Zengrui Li, Erwei Yin, Qianchen Xia
2025 J jnl
Passenger flow prediction between subway stations based on congestion state parameters and composite neural network.
Appl. Soft Comput.
Shaofeng Wang, Guotao Gong, Yalei Liu, Feng Guo
2025 J jnl
Research on Registration Methods for Coupled Errors in Maneuvering Platforms.
Entropy
Qiang Li, Ruidong Liu, Yalei Liu, Zhenzhong Wei
2024 J jnl
Pyramid Scale-aware and Soft-channel spatial attention for traffic sign detection.
Multim. Tools Appl.
Yalei Liu, Jinghua Wu, Xueliang Sheng
2024 J jnl
TSFF-Net: A novel lightweight network for video real-time detection of SF6 gas leaks.
Expert Syst. Appl.
Jianjiang Yao, Zhanhang Xiong, Shugang Li, Zhaoxu Yu, Yalei Liu
2023 J jnl
A 1/f noise optimized correlated multiple sampling technique for complementary metal oxide semiconductor image sensor.
Int. J. Circuit Theory Appl.
Yalei Liu, Jiangtao Xu, Wanbin Zha, Kaiming Nie
2022 — conf
KBRTE: A Deep Learning Model for Chinese Textual Entailment Recognition Based on Synonym Expansion and Sememe Enhancement.
NLPCC (1)
Yalei Liu, Lingling Mu, Hongying Zan
2021 — conf
A Deep Learning Model Fused with Word Sense Knowledge for Textual Entailment Recognition.
IALP
Yalei Liu, Lingling Mu, Hongying Zan
2021 — conf
A Textual Entailment Recognition Method Fused with Language Knowledge.
CLSW (1)
Yalei Liu, Lingling Mu, Wenyan Chu, Hongying Zan
2021 — conf
Aspect-based Sentiment Classification with Dependency Relation and Structured Attention.
IALP
Yuxiang Jia, Yadong Wang, Hongying Zan, Qi Xie, Yingjie Yan, Yalei Liu

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.