Fangzhou Liao - RankMe

15 papers A* 2Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Insulator defect detection network combining bidirectional feature pyramid network and attention mechanism in unmanned aerial vehicle images. Eng. Appl. Artif. Intell. Fu Feng, Xiaoxia Yang, Ronghao Yang, Hao Yu, Fangzhou Liao, Qiqi Shi, Feng Zhu
2025	—	`conf`	SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search. MICCAI (6) Yujie Wang, Juntao Huang, Dazhu Liang, Fangzhou Liao, Jie Chen, Boan Chen
2021	J	`jnl`	Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification. Medical Image Anal. Duanduan Chen, Xuyang Zhang, Yuqian Mei, Fangzhou Liao, Huanming Xu, Zhenfeng Li, Qianjiang Xiao, Wei Guo, Hongkun Zhang, Tianyi Yan, Jiang Xiong, Yiannis Ventikos
2020	—	`conf`	Automatic Cerebral Artery System Labeling Using Registration and Key Points Tracking. KSEM (1) Mengjun Shen, Jianyong Wei, Jitao Fan, Jianlong Tan, Zhenchang Wang, Zhenghan Yang, Penggang Qiao, Fangzhou Liao
2020	J	`jnl`	Automatic Identification of Coronary Arteries in Coronary Computed Tomographic Angiography. IEEE Access Cheng-Jun Zhang, Denghui Xia, Chao Zheng, Jianyong Wei, Yu Cui, Yanzhen Qu, Fangzhou Liao
2019	J	`jnl`	Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks. IEEE Trans. Cybern. Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song
2019	J	`jnl`	Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. IEEE Trans. Neural Networks Learn. Syst. Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song
2018	J	`jnl`	Adversarial Attacks and Defences Competition. CoRR Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
2018	A*	`conf`	Boosting Adversarial Attacks With Momentum. CVPR Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li
2018	A*	`conf`	Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. CVPR Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu
2017	J	`jnl`	Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser. CoRR Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu
2017	J	`jnl`	Discovering Adversarial Examples with Momentum. CoRR Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu
2017	J	`jnl`	Estimation of the volume of the left ventricle from MRI images using deep neural networks. CoRR Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song
2017	J	`jnl`	Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. CoRR Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song
2017	—	`conf`	Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli. ISNN (1) Ke Bai, Fangzhou Liao, Xiaolin Hu

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.