Yan Zhang

18 papers A* 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
iEBAKER: Improved remote sensing image-text retrieval framework via eliminate before align and keyword explicit reasoning.
Expert Syst. Appl.
Yan Zhang, Zhong Ji, Changxu Meng, Yanwei Pang
2025 J jnl
Hierarchical and complementary experts transformer with momentum invariance for image-text retrieval.
Knowl. Based Syst.
Yan Zhang, Zhong Ji, Yanwei Pang, Jungong Han
2025 J jnl
Raformer: Redundancy-Aware Transformer for Video Wire Inpainting.
IEEE Trans. Image Process.
Zhong Ji, Yimu Su, Yan Zhang, Jiacheng Hou, Yanwei Pang, Jungong Han
2025 J jnl
Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.
CoRR
Zhong Ji, Weilong Cao, Yan Zhang, Yanwei Pang, Jungong Han, Xuelong Li
2025 J jnl
Video Wire Inpainting via Hierarchical Feature Mixture.
Image Vis. Comput.
Zhong Ji, Yimu Su, Yan Zhang, Shuangming Yang, Yanwei Pang
2025 J jnl
Visual Semantic Contextualization Network for Multi-Query Image Retrieval.
IEEE Trans. Multim.
Zhong Ji, Zhihao Li, Yan Zhang, Yanwei Pang, Xuelong Li
2025 J jnl
iEBAKER: Improved Remote Sensing Image-Text Retrieval Framework via Eliminate Before Align and Keyword Explicit Reasoning.
CoRR
Yan Zhang, Zhong Ji, Changxu Meng, Yanwei Pang, Jungong Han
2024 J jnl
EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning.
CoRR
Zhihao Li, Yao Du, Yang Liu, Yan Zhang, Yufang Liu, Mengdi Zhang, Xunliang Cai
2024 A* conf
Eliminate Before Align: A Remote Sensing Image-Text Retrieval Framework with Keyword Explicit Reasoning.
ACM Multimedia
Zhong Ji, Changxu Meng, Yan Zhang, Haoran Wang, Yanwei Pang, Jungong Han
2024 J jnl
Hierarchical matching and reasoning for multi-query image retrieval.
Neural Networks
Zhong Ji, Zhihao Li, Yan Zhang, Haoran Wang, Yanwei Pang, Xuelong Li
2024 J jnl
Modality-experts coordinated adaptation for large multimodal models.
Sci. China Inf. Sci.
Yan Zhang, Zhong Ji, Yanwei Pang, Jungong Han, Xuelong Li
2024 J jnl
Raformer: Redundancy-Aware Transformer for Video Wire Inpainting.
CoRR
Zhong Ji, Yimu Su, Yan Zhang, Jiacheng Hou, Yanwei Pang, Jungong Han
2024 J jnl
USER: Unified Semantic Enhancement With Momentum Contrast for Image-Text Retrieval.
IEEE Trans. Image Process.
Yan Zhang, Zhong Ji, Di Wang, Yanwei Pang, Xuelong Li
2023 J jnl
Consensus Knowledge Exploitation for Partial Query Based Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol.
Yan Zhang, Zhong Ji, Yanwei Pang, Xuelong Li
2023 J jnl
Hierarchical Matching and Reasoning for Multi-Query Image Retrieval.
CoRR
Zhong Ji, Zhihao Li, Yan Zhang, Haoran Wang, Yanwei Pang, Xuelong Li
2023 J jnl
Knowledge-Aided Momentum Contrastive Learning for Remote-Sensing Image Text Retrieval.
IEEE Trans. Geosci. Remote. Sens.
Zhong Ji, Changxu Meng, Yan Zhang, Yanwei Pang, Xuelong Li
2023 J jnl
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval.
CoRR
Yan Zhang, Zhong Ji, Di Wang, Yanwei Pang, Xuelong Li
2020 J jnl
An maize leaf segmentation algorithm based on image repairing technology.
Comput. Electron. Agric.
Ping Wang, Yan Zhang, Boran Jiang, Jinyi Hou

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.