Zhenghang Yuan

22 papers C 5Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation Models. CoRR Zhitong Xiong, Yi Wang, Weikang Yu, Adam J. Stewart, Jie Zhao, Nils Lehmann, Thomas Dujardin, Zhenghang Yuan, Pedram Ghamisi, Xiao Xiang Zhu
2024	J	`jnl`	ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models. CoRR Zhenghang Yuan, Zhitong Xiong, Lichao Mou, Xiao Xiang Zhu
2024	J	`jnl`	On the Foundations of Earth and Climate Foundation Models. CoRR Xiao Xiang Zhu, Zhitong Xiong, Yi Wang, Adam J. Stewart, Konrad Heidler, Yuanyuan Wang, Zhenghang Yuan, Thomas Dujardin, Qingsong Xu, Yilei Shi
2024	J	`jnl`	RRSIS: Referring Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
2024	C	`conf`	Referring Image Segmentation for Remote Sensing Data. IGARSS Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
2023	—	`conf`	Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images. JURSE Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
2023	J	`jnl`	Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images. CoRR Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
2023	C	`conf`	Overcoming Language Bias in Remote Sensing Visual Question Answering Via Adversarial Training. IGARSS Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
2023	J	`jnl`	Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training. CoRR Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
2023	J	`jnl`	RRSIS: Referring Remote Sensing Image Segmentation. CoRR Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
2023	J	`jnl`	Vision-Language Models in Remote Sensing: Current Progress and Future Trends. CoRR Congcong Wen, Yuan Hu, Xiang Li, Zhenghang Yuan, Xiao Xiang Zhu
2022	J	`jnl`	Change Detection Meets Visual Question Answering. IEEE Trans. Geosci. Remote. Sens. Zhenghang Yuan, Lichao Mou, Zhitong Xiong, Xiao Xiang Zhu
2022	C	`conf`	Change-Aware Visual Question Answering. IGARSS Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
2022	J	`jnl`	From Easy to Hard: Learning Language-Guided Curriculum for Visual Question Answering on Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. Zhenghang Yuan, Lichao Mou, Qi Wang, Xiao Xiang Zhu
2022	J	`jnl`	From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data. CoRR Zhenghang Yuan, Lichao Mou, Qi Wang, Xiao Xiang Zhu
2021	J	`jnl`	Change Detection Meets Visual Question Answering. CoRR Zhenghang Yuan, Lichao Mou, Zhitong Xiong, Xiaoxiang Zhu
2021	C	`conf`	Self-Paced Curriculum Learning for Visual Question Answering on Remote Sensing Data. IGARSS Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
2020	J	`jnl`	Exploring Multi-Level Attention and Semantic Relationship for Remote Sensing Image Captioning. IEEE Access Zhenghang Yuan, Xuelong Li, Qi Wang
2019	J	`jnl`	GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection. IEEE Trans. Geosci. Remote. Sens. Qi Wang, Zhenghang Yuan, Qian Du, Xuelong Li
2019	J	`jnl`	GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection. CoRR Qi Wang, Zhenghang Yuan, Qian Du, Xuelong Li
2019	J	`jnl`	Unsupervised Deep Noise Modeling for Hyperspectral Image Change Detection. Remote. Sens. Xuelong Li, Zhenghang Yuan, Qi Wang
2018	C	`conf`	ROBUST PCANet for Hyperspectral Image Change Detection. IGARSS Zhenghang Yuan, Qi Wang, Xuelong Li

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.