Yanliang Ge - RankMe

19 papers Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Camouflaged object detection based on edge screening and cross-layer fusion. Pattern Recognit. Yanliang Ge, Yuxi Zhong, Junchao Ren, Min He, Hongbo Bi, Qiao Zhang
2026	J	`jnl`	Co-AMamba: Co-salient object detection with attention and state space model. Inf. Fusion Yanliang Ge, Jinghuai Pan, Junchao Ren, Min He, Hongbo Bi, Qiao Zhang
2026	J	`jnl`	Weakly-Supervised Camouflaged Object Detection via SAM-Guided Resolution Iteration Learning. IEEE Trans. Big Data Yanliang Ge, Yuxi Zhong, Qiao Zhang, Hongbo Bi, Tian-Zhu Xiang
2025	J	`jnl`	Co-salient object detection with consensus mining and consistency cross-layer interactive decoding. Image Vis. Comput. Yanliang Ge, Jinghuai Pan, Junchao Ren, Min He, Hongbo Bi, Qiao Zhang
2025	J	`jnl`	Consensus exploration and detail perception for co-salient object detection in optical remote sensing images. Image Vis. Comput. Yanliang Ge, Jiaxue Chen, Taichuan Liang, Yuxi Zhong, Hongbo Bi, Qiao Zhang
2025	J	`jnl`	Efficient co-salient object detection by integrating mask consensus and attention diversion. Signal Image Video Process. Yanliang Ge, Yurui Chen, Qiao Zhang, Junchao Ren, Hongbo Bi
2025	J	`jnl`	Enhanced salient object detection in remote sensing images via dual-stream semantic interactive network. Vis. Comput. Yanliang Ge, Taichuan Liang, Junchao Ren, Jiaxue Chen, Hongbo Bi
2025	J	`jnl`	Feature-aware and iterative refinement network for camouflaged object detection. Vis. Comput. Yanliang Ge, Junchao Ren, Cong Zhang, Min He, Hongbo Bi, Qiao Zhang
2025	J	`jnl`	Research on collaborative camouflaged object detection under dual domain entanglement. Image Vis. Comput. Yanliang Ge, Yuxi Zhong, Qiao Zhang, Junchao Ren, Min He, Hongbo Bi
2025	J	`jnl`	Semantic awareness aggregation for salient object detection in remote sensing images. Eng. Appl. Artif. Intell. Yanliang Ge, Taichuan Liang, Junchao Ren, Min He, Hongbo Bi, Qiao Zhang
2025	J	`jnl`	Semantic-spatial guided context propagation network for camouflaged object detection. Appl. Intell. Junchao Ren, Qiao Zhang, Bingbing Kang, Yuxi Zhong, Min He, Yanliang Ge, Hongbo Bi
2024	J	`jnl`	Camouflaged Object Detection via location-awareness and feature fusion. Image Vis. Comput. Yanliang Ge, Yuxi Zhong, Junchao Ren, Min He, Hongbo Bi, Qiao Zhang
2024	J	`jnl`	Camouflaged object detection via cross-level refinement and interaction network. Image Vis. Comput. Yanliang Ge, Junchao Ren, Qiao Zhang, Min He, Hongbo Bi, Cong Zhang
2023	J	`jnl`	Attention-induced semantic and boundary interaction network for camouflaged object detection. Comput. Vis. Image Underst. Qiao Zhang, Xiaoxiao Sun, Yurui Chen, Yanliang Ge, Hongbo Bi
2023	J	`jnl`	GSNNet: Group semantic-guided neighbor interaction network for co-salient object detection. Comput. Vis. Image Underst. Yanliang Ge, Qiao Zhang, Tian-Zhu Xiang, Cong Zhang, Jing Zhang, Hongbo Bi
2023	J	`jnl`	TCNet: Co-Salient Object Detection via Parallel Interaction of Transformers and CNNs. IEEE Trans. Circuits Syst. Video Technol. Yanliang Ge, Qiao Zhang, Tian-Zhu Xiang, Cong Zhang, Hongbo Bi
2023	J	`jnl`	TPRNet: camouflaged object detection via transformer-induced progressive refinement network. Vis. Comput. Qiao Zhang, Yanliang Ge, Cong Zhang, Hongbo Bi
2021	J	`jnl`	WGI-Net: A weighted group integration network for RGB-D salient object detection. Comput. Vis. Media Yanliang Ge, Cong Zhang, Kang Wang, Ziqi Liu, Hongbo Bi
2020	—	`conf`	Research on D2D Resource Fair Allocation Algorithm in Graph Coloring. 6GN Yanliang Ge, Qiannan Zhao, Guanghua Zhang, Weidang Lu

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.