Fei Tony Liu - RankMe

16 papers A* 4B 3Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Adaptive Isolation Forest. DS Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet
2025	—	`conf`	Streaming Isolation Forest. PAKDD (1) Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet
2018	J	`jnl`	Isolation-based anomaly detection using nearest-neighbor ensembles. Comput. Intell. Tharindu R. Bandaragoda, Kai Ming Ting, David W. Albrecht, Fei Tony Liu, Ye Zhu, Jonathan R. Wells
2014	—	`conf`	Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble. ICDM Workshops Tharindu R. Bandaragoda, Kai Ming Ting, David W. Albrecht, Fei Tony Liu, Jonathan R. Wells
2013	J	`jnl`	DEMass: a new density estimator for big data. Knowl. Inf. Syst. Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu, Sunil Aryal
2013	J	`jnl`	Mass estimation. Mach. Learn. Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, Swee Chuan Tan
2012	J	`jnl`	Isolation-Based Anomaly Detection. ACM Trans. Knowl. Discov. Data Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
2012	J	`jnl`	Relevance feature mapping for content-based multimedia information retrieval. Pattern Recognit. Guang-Tong Zhou, Kai Ming Ting, Fei Tony Liu, Yilong Yin
2011	A*	`conf`	Density Estimation Based on Mass. ICDM Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu
2011	A*	`conf`	Fast Anomaly Detection for Streaming Data. IJCAI Swee Chuan Tan, Kai Ming Ting, Fei Tony Liu
2010	A*	`conf`	Mass estimation and its applications. KDD Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, James Swee Chuan Tan
2010	—	`conf`	On Detecting Clustered Anomalies Using SCiForest. ECML/PKDD (2) Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
2008	A*	`conf`	Isolation Forest. ICDM Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
2008	J	`jnl`	Spectrum of Variable-Random Trees. J. Artif. Intell. Res. Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-Hua Zhou
2006	B	`conf`	Variable Randomness in Decision Tree Ensembles. PAKDD Fei Tony Liu, Kai Ming Ting
2005	B	`conf`	Maximizing Tree Diversity by Building Complete-Random Decision Trees. PAKDD Fei Tony Liu, Kai Ming Ting, Wei Fan

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.