Yan Liu - RankMe

20 papers A 1B 3Misc 2Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evo-NMTF: dynamic community detection via dual-path evolutionary nonnegative matrix tri-factorization. Knowl. Inf. Syst. Xilong Li, Yan Liu
2026	J	`jnl`	Large-Scale BGP Routing Anomaly Detection Based on Graph Attention Auto-Encoder. IEEE Trans. Netw. Serv. Manag. Zekang Wang, Fuxiang Yuan, Han Qiu, Yan Liu, Xiangyang Luo
2026	A	`conf`	Taming Non-Stationary Knowledge Growth: Dynamic Global Memory Framework for Lifelong Knowledge Graph Embedding. WSDM Ling Wang, Yan Liu, Jicang Lu, Xiaoyu Guo, Zhipeng Li, Ningbo Huang
2025	J	`jnl`	Dual Graph Convolutional Networks for Social Network Alignment. IEEE Trans. Big Data Xiaoyu Guo, Yan Liu, Daofu Gong, Fenlin Liu
2025	J	`jnl`	GDD-Geo: IPv6 geolocation by graph dual decomposition. Comput. Commun. Chong Liu, Ruosi Cheng, Fuxiang Yuan, Shichang Ding, Yan Liu, Xiangyang Luo
2024	J	`jnl`	6Subpattern: Target Generation Based on Subpattern Analysis for Internet-Wide IPv6 Scanning. IEEE Trans. Netw. Serv. Manag. Chong Liu, Ruixiang Li, Fuxiang Yuan, Shichang Ding, Yan Liu, Xiangyang Luo
2024	B	`conf`	Adversarially Regularized Graph Embedding for User Identity Linkage Across Social Networks. ICTAI Xiaoyu Guo, Yan Liu, Fenlin Liu
2024	B	`conf`	Cross-platform Network User Alignment Interference Methods Based on Obfuscation Strategy. TrustCom Luyao Wang, Yan Liu, Xiaoyu Guo, Ziqi Long, Chunfang Yang
2024	—	`conf`	Discovering stable communities in massive temporal graphs. CNIOT Jiaxing Fan, Chenghan Zhang, Yan Liu
2024	—	`conf`	Few-Shot Representation Learning for Knowledge Graph with Variational Auto-encoder Data Augmentation. ICIC (12) Ling Wang, Jicang Lu, Yinpeng Lu, Yan Liu
2024	B	`conf`	Topic Partition of User-Generated Texts for User Identity Linkage Across Social Networks. IJCNN Xiaoyu Guo, Yan Liu, Fenlin Liu
2023	—	`conf`	Analysis of Graph Data Structure from the Perspective of Clustering. CSAI Peng Lv, Yan Liu
2023	J	`jnl`	News Stance Discrimination Based on a Heterogeneous Network of Social Background Information Fusion. Entropy Yanze Ren, Yan Liu, Jing Chen, Xiaoyu Guo, Junyu Shi, Mengmeng Jia
2021	J	`jnl`	A City-Level Boundary Nodes Identification Algorithm Based on Bidirectional Approaching. KSII Trans. Internet Inf. Syst. Zhiyuan Tao, Fenlin Liu, Yan Liu, Xiangyang Luo
2021	Misc	`conf`	Inter-domain Link Inference with Confidence Using Naïve Bayes Classifier. ICMLC Yi Zhao, Yan Liu, Xiaoyu Guo, ZhongHang Sui
2021	—	`conf`	User Naming Conventions Mapping Learning for Social Network Alignment. ICCAE Yuan Zhao, Yan Liu, Xiaoyu Guo, Xian Sun, Sen Wang
2020	—	`conf`	Network Topology Boundary Routing IP Identification for IP Geolocation. ICAIS (2) Fuxiang Yuan, Fenlin Liu, Rui Xu, Yan Liu, Xiangyang Luo
2020	Misc	`conf`	User Identity Linkage Across Social Networks via Community Preserving Network Embedding. ACISP Xiaoyu Guo, Yan Liu, Lian Liu, Guangsheng Zhang, Jing Chen, Yuan Zhao
2019	J	`jnl`	A High Completeness PoP Partition Algorithm for IP Geolocation. IEEE Access Fuxiang Yuan, Fenlin Liu, Donghua Huang, Yan Liu, Xiangyang Luo
2018	J	`jnl`	City-Level IP Geolocation Algorithm Based on PoP Network Topology. IEEE Access Shuodi Zu, Xiangyang Luo, Siqi Liu, Yan Liu, Fenlin Liu

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.