Zhenfeng Qiang

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Feature Shuffling and Restoration Strategy for Universal Unsupervised Anomaly Detection. CoRR Wei Luo, Haiming Yao, Zhenfeng Qiang, Xiaotian Zhang, Weihang Zhang
2025	J	`jnl`	A feature shuffling and restoration strategy for universal unsupervised anomaly detection. Knowl. Based Syst. Wei Luo, Haiming Yao, Zhenfeng Qiang, Xiaotian Zhang, Weihang Zhang
2024	J	`jnl`	Dual-Attention Transformer and Discriminative Flow for Industrial Visual Anomaly Detection. IEEE Trans Autom. Sci. Eng. Haiming Yao, Wei Luo, Wenyong Yu, Xiaotian Zhang, Zhenfeng Qiang, Donghao Luo, Hui Shi
2024	J	`jnl`	Few-shot unseen defect segmentation for polycrystalline silicon panels with an interpretable dual subspace attention variational learning framework. Adv. Eng. Informatics Haiming Yao, Wei Luo, Wenyong Yu, Xiaotian Zhang, Zhenfeng Qiang, Donghao Luo, Hui Shi
2024	J	`jnl`	Learning Global-Local Correspondence With Semantic Bottleneck for Logical Anomaly Detection. IEEE Trans. Circuits Syst. Video Technol. Haiming Yao, Wenyong Yu, Wei Luo, Zhenfeng Qiang, Donghao Luo, Xiaotian Zhang
2024	J	`jnl`	Local-global normality learning and discrepancy normalizing flow for unsupervised image anomaly detection. Eng. Appl. Artif. Intell. Haiming Yao, Wei Luo, Weihang Zhang, Xiaotian Zhang, Zhenfeng Qiang, Donghao Luo
2024	J	`jnl`	Scalable Industrial Visual Anomaly Detection With Partial Semantics Aggregation Vision Transformer. IEEE Trans. Instrum. Meas. Haiming Yao, Wei Luo, Jianan Lou, Wenyong Yu, Xiaotian Zhang, Zhenfeng Qiang, Hui Shi
2023	J	`jnl`	Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection. CoRR Haiming Yao, Wenyong Yu, Wei Luo, Zhenfeng Qiang, Donghao Luo, Xiaotian Zhang
2023	J	`jnl`	Real-Time Correction of Gas Concentration in Nondispersive Infrared Sensor. IEEE Trans. Instrum. Meas. Zhenfeng Qiang, Xue Wang, Weihang Zhang
2022	J	`jnl`	Generic enhanced ensemble learning with multi-level kinematic constraints for 3D action recognition. Multim. Tools Appl. Wei You, Xue Wang, Weihang Zhang, Zhenfeng Qiang
2021	J	`jnl`	Measurement Method of Fracture Surface Orientations of Cortical Bones Under Multidirectional External Loads. IEEE Trans. Instrum. Meas. Zhichao Ma, Zhenfeng Qiang, Hongwei Zhao, Luquan Ren

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.