Fangyi Wang - RankMe

14 papers A* 3B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Low-visibility Crop Detection in Agricultural Scenes via Point Cloud Guidance. IJCNN Chen Wan, Teng Jin, Jinyu Yang, Fangyi Wang, Feng Zheng
2025	J	`jnl`	Modifying Final Splits of Classification Tree for Fine-tuning Subpopulation Target in Policy Making. CoRR Lei Bill Wang, Zhenbang Jiao, Fangyi Wang
2025	J	`jnl`	Scattering-Aware Adaptive Dynamic Node Generation for SAR Class-Incremental Learning. IEEE Trans. Geosci. Remote. Sens. Fangyi Wang, Haipeng Wang
2025	—	`conf`	ViT-NAS: Image Manipulation Localization Based on Vision Transformer and Neural Architecture Search. PRCV (3) Wenkang Chen, Ju Huang, Xiumei Zhou, Fangyi Wang
2024	J	`jnl`	Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases. CoRR Liqiong Wang, Teng Jin, Jinyu Yang, Ales Leonardis, Fangyi Wang, Feng Zheng
2024	J	`jnl`	An Ensemble Machine Learning Model to Estimate Urban Water Quality Parameters Using Unmanned Aerial Vehicle Multispectral Imagery. Remote. Sens. Xiangdong Lei, Jie Jiang, Zifeng Deng, Di Wu, Fangyi Wang, Chengguang Lai, Zhaoli Wang, Xiaohong Chen
2024	J	`jnl`	Deep Matching Online Video Stabilization Using TSNet. IEEE Trans. Instrum. Meas. Fangyi Wang, Bihua Zhong, Tao Liu, Xiaofang Kong, Hongyang Bai, Gang Wan
2024	A*	`conf`	Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes. CVPR Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng
2024	A*	`conf`	Probabilistic size-and-shape functional mixed models. NeurIPS Fangyi Wang, Karthik Bharath, Oksana A. Chkrebtii, Sebastian Kurtek
2024	J	`jnl`	Real-Time Video Stabilization Algorithm Based on SuperPoint. IEEE Trans. Instrum. Meas. Tao Liu, Gang Wan, Hongyang Bai, Xiaofang Kong, Bo Tang, Fangyi Wang
2023	J	`jnl`	Applying blockchain technology to ensure compliance with sustainability standards in the PPE multi-tier supply chain. Int. J. Prod. Res. Bill Wang, Zhiyu Lin, Michael Wang, Fangyi Wang, Peng Xiangli, Zhi Li
2023	A*	`conf`	Depth-aided Camouflaged Object Detection. ACM Multimedia Qingwei Wang, Jinyu Yang, Xiaosheng Yu, Fangyi Wang, Peng Chen, Feng Zheng
2017	J	`jnl`	An MVPA method based on sparse representation for pattern localization in fMRI data analysis. Neurocomputing Fangyi Wang, Yuanqing Li, Zhenghui Gu
2015	J	`jnl`	Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback. IEEE Trans. Biomed. Eng. Tianyou Yu, Jun Xiao, Fangyi Wang, Rui Zhang, Zhenghui Gu, Andrzej Cichocki, Yuanqing 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.