Yan Sha

12 papers A* 1C 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpretable clinical-radiomics fusion model for noninvasive prediction of INI1 deficiency and prognosis in sinonasal undifferentiated carcinoma (SNUC): a two-center study. BMC Medical Imaging Naier Lin, Xingcan Li, Min Ye, Yue Geng, Yuxin He, Yan Sha, Zuohua Tang
2025	J	`jnl`	Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI. BMC Medical Imaging Luxi Wang, Naier Lin, Wei Chen, Hanyu Xiao, Yiyin Zhang, Yan Sha
2024	J	`jnl`	A multi-objective QoS-aware IoT service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment. Neural Comput. Appl. Yan Sha, Hui Wang, Dan Wang, Mostafa Ghobaei-Arani
2023	J	`jnl`	PMLiteDB: Streamlining Access Paths for High-Performance Persistent Memory Document Database Systems. IEEE Trans. Computers Hai Jin, Shuo Wei, Yan Sha, Chencheng Ye, Haikun Liu, Xiaofei Liao
2023	A*	`conf`	Reconciling Selective Logging and Hardware Persistent Memory Transaction. HPCA Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin
2023	—	`conf`	SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory. ASPLOS (2) Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin
2023	J	`jnl`	The magnetic resonance characteristics of sinonasal rhabdomyosarcoma in adults: analysis of 27 cases and comparison with pathological subtypes. BMC Medical Imaging Junhua Liu, Meng Qi, Wen-hu Huang, Yan Sha, Fang Zhang
2022	J	`jnl`	A Gene Expression Clustering Method to Extraction of Cell-to-Cell Biological Communication. Inteligencia Artif. Hui Wang, Yan Sha, Dan Wang, Hamed Nazari
2022	J	`jnl`	Joint Relay Selection and Resource Allocation for Delay-Sensitive Traffic in Multi-Hop Relay Networks. KSII Trans. Internet Inf. Syst. Yan Sha, Jufeng Hu, Shuang Hao, Dan Wang
2022	J	`jnl`	Performance of 2D BLADE turbo gradient- and spin-echo diffusion-weighted imaging in the quantitative diagnosis of recurrent temporal bone cholesteatoma. BMC Medical Imaging Mengyan Lin, Yue Geng, Yan Sha, Zhongshuai Zhang, Kun Zhou
2020	J	`jnl`	Performance of TGSE BLADE DWI compared with RESOLVE DWI in the diagnosis of cholesteatoma. BMC Medical Imaging Yaru Sheng, Rujian Hong, Yan Sha, Zhongshuai Zhang, Kun Zhou, Caixia Fu
2019	C	`conf`	Joint Learning of Dictionary and Convolutional Network for Pedestrian Attribute Recognition. VCIP Yan Sha, Congyan Lang, Peixi Peng, Junliang Xing, Danxia Li

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.