Fangping Wan - RankMe

11 papers B 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Purely Agentic Black-Box Optimization for Biological Design. CoRR Natalie Maus, Yimeng Zeng, Haydn Thomas Jones, Yining Huang, Gaurav Ng Goel, Alden Rose, Kyurae Kim, Hyun-Su Lee, Marcelo Der Torossian Torres, Fangping Wan, Cesar de la Fuente-Nunez, Mark Yatskar, Osbert Bastani, Jacob R. Gardner
2025	J	`jnl`	Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization. CoRR Natalie Maus, Kyurae Kim, Yimeng Zeng, Haydn Thomas Jones, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Jacob R. Gardner
2025	J	`jnl`	Large Scale Multi-Task Bayesian Optimization with Large Language Models. CoRR Yimeng Zeng, Natalie Maus, Haydn Thomas Jones, Jeffrey Tao, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Ryan Marcus, Osbert Bastani, Jacob R. Gardner
2025	J	`jnl`	Predicting and generating antibiotics against future pathogens with ApexOracle. CoRR Tianang Leng, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez
2024	J	`jnl`	Analyzing Large-Scale Single-Cell RNA-Seq Data Using Coreset. IEEE ACM Trans. Comput. Biol. Bioinform. Khalid Usman, Fangping Wan, Dan Zhao, Jian Peng, Jianyang Zeng
2020	J	`jnl`	A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories. Nat. Mach. Intell. Lixiang Hong, Jinjian Lin, Shuya Li, Fangping Wan, Hui Yang, Tao Jiang, Dan Zhao, Jianyang Zeng
2020	B	`conf`	MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins. RECOMB Shuya Li, Fangping Wan, Hantao Shu, Tao Jiang, Dan Zhao, Jianyang Zeng
2020	J	`jnl`	Secure multiparty computation for privacy-preserving drug discovery. Bioinform. Rong Ma, Yi Li, Chenxing Li, Fangping Wan, Hailin Hu, Wei Xu, Jianyang Zeng
2019	J	`jnl`	ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks. Bioinform. Yan Hu, Ziqiang Wang, Hailin Hu, Fangping Wan, Lin Chen, Yuanpeng Xiong, Xiaoxia Wang, Dan Zhao, Weiren Huang, Jianyang Zeng
2019	J	`jnl`	DeepCPI: A Deep Learning-based Framework for Large-scale Genom. Proteom. Bioinform. Fangping Wan, Yue Zhu, Hailin Hu, Antao Dai, Xiaoqing Cai, Ligong Chen, Haipeng Gong, Tian Xia, Dehua Yang, Ming-Wei Wang, Jianyang Zeng
2019	J	`jnl`	NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions. Bioinform. Fangping Wan, Lixiang Hong, An Xiao, Tao Jiang, Jianyang Zeng

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.