Zhaisheng Ding

19 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DSKFuse: Passive-active distillation learning for multi-modal image fusion via dynamic sparse kansformer. Expert Syst. Appl. Zhaisheng Ding, Ruichao Hou, Yunzhe Men, Shengyang Luan, Yanyu Liu, Kangjian He, Shidong Xie
2026	J	`jnl`	KAN-MAE: KAN-Based Masked Autoencoder With Correntropy-Aided Near-Homogeneity Strategy for Automatic Modulation Classification. IEEE Trans. Veh. Technol. Shengyang Luan, Jiachen Zhou, Mingbo Zhu, Zihan Zhou, Zhaisheng Ding
2025	J	`jnl`	ACL-Net: Attribute-Aware Contrastive Learning Network for Medical Image Fusion. IEEE Signal Process. Lett. Yanyu Liu, Ruichao Hou, Zhaisheng Ding, Dongming Zhou, Jinde Cao
2025	J	`jnl`	FADSiamNet: feature affinity drift siamese network for RGB-T target tracking. Int. J. Mach. Learn. Cybern. Haiyan Li, Yonghui Cao, Lei Guo, Quan Chen, Zhaisheng Ding, Shidong Xie
2025	J	`jnl`	Fighting against forest fire: A lightweight real-time detection approach for forest fire based on synthetic images. Expert Syst. Appl. Guanbo Wang, Haiyan Li, Qing Xiao, Pengfei Yu, Zhaisheng Ding, Zongshan Wang, Shidong Xie
2025	J	`jnl`	SCDFuse: A semantic complementary distillation framework for joint infrared and visible image fusion and denoising. Knowl. Based Syst. Shidong Xie, Haiyan Li, Yongsheng Zang, Jinde Cao, Dongming Zhou, Mingchuan Tan, Zhaisheng Ding, Guanbo Wang
2025	J	`jnl`	X modality assisting RGBT object tracking. Appl. Intell. Zhaisheng Ding, Haiyan Li, Ruichao Hou, Yanyu Liu, Shidong Xie
2023	J	`jnl`	A robust infrared and visible image fusion framework via multi-receptive-field attention and color visual perception. Appl. Intell. Zhaisheng Ding, Haiyan Li, Dongming Zhou, Yanyu Liu, Ruichao Hou
2023	J	`jnl`	An Improved Hybrid Network With a Transformer Module for Medical Image Fusion. IEEE J. Biomed. Health Informatics Yanyu Liu, Yongsheng Zang, Dongming Zhou, Jinde Cao, Rencan Nie, Ruichao Hou, Zhaisheng Ding, Jiatian Mei
2023	J	`jnl`	Green fluorescent protein and phase contrast image fusion via Spectral TV filter-based decomposition. Biomed. Signal Process. Control. Yanyu Liu, Dongming Zhou, Rencan Nie, Ruichao Hou, Zhaisheng Ding, Weidai Xia, Miao Li
2023	J	`jnl`	M4FNet: Multimodal medical image fusion network via multi-receptive-field and multi-scale feature integration. Comput. Biol. Medicine Zhaisheng Ding, Haiyan Li, Yi Guo, Dongming Zhou, Yanyu Liu, Shidong Xie
2023	J	`jnl`	Multi-spectral color vision fusion jointly with two-stream feature interaction and color transformation network. Digit. Signal Process. Zhaisheng Ding, Haiyan Li, Dongming Zhou, Yanyu Liu, Ruichao Hou
2023	J	`jnl`	PSMFF: A progressive series-parallel modality feature filtering framework for infrared and visible image fusion. Digit. Signal Process. Shidong Xie, Haiyan Li, Zhengyu Wang, Dongming Zhou, Zhaisheng Ding, Yanyu Liu
2023	J	`jnl`	X Modality Assisting RGBT Object Tracking. CoRR Zhaisheng Ding, Haiyan Li, Ruichao Hou, Yanyu Liu, Shidong Xie, Dongming Zhou, Jinde Cao
2022	J	`jnl`	TSE_Fuse: Two stage enhancement method using attention mechanism and feature-linking model for infrared and visible image fusion. Digit. Signal Process. Yanyu Liu, Dongming Zhou, Rencan Nie, Zhaisheng Ding, Yanbu Guo, Xiaoli Ruan, Weidai Xia, Ruichao Hou
2021	J	`jnl`	Multimodal medical image fusion based on the spectral total variation and local structural patch measurement. Int. J. Imaging Syst. Technol. Yanyu Liu, Ruichao Hou, Dongming Zhou, Rencan Nie, Zhaisheng Ding, Yanbu Guo, Li Zhao
2021	J	`jnl`	Siamese networks and multi-scale local extrema scheme for multimodal brain medical image fusion. Biomed. Signal Process. Control. Zhaisheng Ding, Dongming Zhou, Haiyan Li, Ruichao Hou, Yanyu Liu
2020	J	`jnl`	Construction of high dynamic range image based on gradient information transformation. IET Image Process. Yanyu Liu, Dongming Zhou, Rencan Nie, Ruichao Hou, Zhaisheng Ding
2020	J	`jnl`	Robust spiking cortical model and total-variational decomposition for multimodal medical image fusion. Biomed. Signal Process. Control. Yanyu Liu, Dongming Zhou, Rencan Nie, Ruichao Hou, Zhaisheng Ding, Yanbu Guo, Jinwei Zhou

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.