Zengli Wang

13 papers Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differential effects of data omissions and positional errors on the minimum acceptable geocoding hit rate. Int. J. Geogr. Inf. Sci. Xuanlin Zhu, Zengli Wang, Jingjing Li
2026	J	`jnl`	Theft Address Extraction and Classification from Chinese Judicial Documents Based on Large Language Model. ISPRS Int. J. Geo Inf. Zengli Wang, Xiang Li, Xiaoping Rui, Linfang Ding, Jingjing Li
2025	J	`jnl`	A POI-constrained multi-source online geocoding optimization method. Int. J. Digit. Earth Zengli Wang, Zibin Cui, Jiaxin Jin
2021	J	`jnl`	An Adaptive Spatial Resolution Method Based on the ST-ResNet Model for Hourly Property Crime Prediction. ISPRS Int. J. Geo Inf. Hong Zhang, Jie Zhang, Zengli Wang, Hao Yin
2020	J	`jnl`	A regression-based algorithm for frequent itemsets mining. Data Technol. Appl. Zirui Jia, Zengli Wang
2020	J	`jnl`	A spatio-temporal method for crime prediction using historical crime data and transitional zones identified from nightlight imagery. Int. J. Geogr. Inf. Sci. Bo Yang, Lin Liu, Minxuan Lan, Zengli Wang, Hanlin Zhou, Hongjie Yu
2020	J	`jnl`	Construction, Detection, and Interpretation of Crime Patterns over Space and Time. ISPRS Int. J. Geo Inf. Zengli Wang, Hong Zhang
2019	J	`jnl`	Assessing the Impact of Nightlight Gradients on Street Robbery and Burglary in Cincinnati of Ohio State, USA. Remote. Sens. Hanlin Zhou, Lin Liu, Minxuan Lan, Bo Yang, Zengli Wang
2019	J	`jnl`	Could Crime Risk Be Propagated across Crime Types? ISPRS Int. J. Geo Inf. Zengli Wang, Hong Zhang
2019	J	`jnl`	Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction. ISPRS Int. J. Geo Inf. Zengli Wang, Lin Liu, Hanlin Zhou, Minxuan Lan
2019	J	`jnl`	How Is the Confidentiality of Crime Locations Affected by Parameters in Kernel Density Estimation? ISPRS Int. J. Geo Inf. Zengli Wang, Lin Liu, Hanlin Zhou, Minxuan Lan
2017	J	`jnl`	Analysis of Burglary Hot Spots and Near-Repeat Victimization in a Large Chinese City. ISPRS Int. J. Geo Inf. Zengli Wang, Xuejun Liu
2009	—	`conf`	Partial CSI feedback scheme for subchannel allocation in multiuser OFDM systems. ICT Liming Hou, Zengli Wang, Xiaokang Lin

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.