Qianpeng Chong

13 papers C 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A small-object segmentation algorithm for intercluster imbalance based on histogram- and stickiness-aware boosting. Eng. Appl. Artif. Intell. Qianpeng Chong, Jiakun Wen, Qianhui Wan, Wenyi Zeng, Qian Yin, Dong Cheng
2026	J	`jnl`	LIFWCM: local information-based fuzzy weighted C-means algorithm for image segmentation. Artif. Intell. Rev. Hanshuai Cui, Wenyi Zeng, Rong Ma, Dong Cheng, Qianpeng Chong, Zeshui Xu
2025	J	`jnl`	FVPNet: A Fuzzy Visual Positioning Perception Network for Small Object Segmentation in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Zhen Wang, Jindong Xu, Qianpeng Chong, Guangyi Wei, Zhixiang Wang
2025	J	`jnl`	Multi-scale fuzzy self-attention network for hyperspectral image classification with small-samples. Eng. Appl. Artif. Intell. Ziyi Li, Jindong Xu, Qianpeng Chong, Yu Yan
2025	J	`jnl`	Spatial-frequency collaborative feature constraint based on interval type-2 fuzzy set and wavelet transform for high-resolution remote sensing image segmentation. Inf. Sci. Qianpeng Chong, Rong Ma, Jindong Xu, Guangyi Wei, Yao Long, Wenyi Zeng, Dong Cheng
2024	J	`jnl`	Dual-Domain Fusion Network Based on Wavelet Frequency Decomposition and Fuzzy Spatial Constraint for Remote Sensing Image Segmentation. Remote. Sens. Guangyi Wei, Jindong Xu, Weiqing Yan, Qianpeng Chong, Haihua Xing, Mengying Ni
2024	J	`jnl`	FDM: Document image seen-through removal via Fuzzy Diffusion Models. Pattern Recognit. Lett. Yijie Wang, Jindong Xu, Zongbao Liang, Qianpeng Chong, Xiang Cheng
2024	J	`jnl`	Fuzzy graph convolutional network for hyperspectral image classification. Eng. Appl. Artif. Intell. Jindong Xu, Kang Li, Ziyi Li, Qianpeng Chong, Haihua Xing, Qianguo Xing, Mengying Ni
2024	J	`jnl`	Pos-DANet: A dual-branch awareness network for small object segmentation within high-resolution remote sensing images. Eng. Appl. Artif. Intell. Qianpeng Chong, Mengying Ni, Jianjun Huang, Zongbao Liang, Jie Wang, Ziyi Li, Jindong Xu
2024	J	`jnl`	Prior-Guided Fuzzy-Aware Multibranch Network for Remote Sensing Image Segmentation. IEEE Geosci. Remote. Sens. Lett. Guangyi Wei, Jindong Xu, Qianpeng Chong, Jianjun Huang, Haihua Xing
2023	C	`conf`	A Dual-Branch Awareness Network for Small Object Segmentation in Large-Scale Remote Sensing Scenes. IGARSS Qianpeng Chong, Jindong Xu
2023	C	`conf`	Black and Odorous Water Detection of Gaofen-2 Remote Sensing Images Based on Deep Learning. IGARSS Jianjun Huang, Jindong Xu, Qianpeng Chong, Ziyi Li
2023	J	`jnl`	SSANet: An Adaptive Spectral-Spatial Attention Autoencoder Network for Hyperspectral Unmixing. Remote. Sens. Jie Wang, Jindong Xu, Qianpeng Chong, Zhaowei Liu, Weiqing Yan, Haihua Xing, Qianguo Xing, Meng-ying Ni

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.