Zhemei Fang

23 papers A* 2B 4Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Architecting Path Selection Method for Incremental Evolution in System-of-Systems.
IEEE Syst. J.
Zhemei Fang, Dazhi Chen, Qi Ju, Jianbo Wang
2025 A* conf
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies.
ICML
Qi Ju, Thomas Tellier, Meng Sun, Zhemei Fang, Yunfeng Luo
2024 A* conf
Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play.
NeurIPS
Qi Ju, Falin Hei, Ting Feng, Dengbing Yi, Zhemei Fang, Yunfeng Luo
2024 J jnl
An Integrated Method for Selecting Architecture Alternatives and Reconfiguration Options Towards System-of-Systems Resilience.
Syst.
Zhemei Fang, Hang Li, Dazhi Chen
2024 J jnl
Architecture Design Space Generation via Decision Pattern-Guided Department of Defense Architecture Framework Modeling.
Syst.
Zhemei Fang, Xuemeng Zhao, Fengyun Li
2024 J jnl
Beyond Nash Equilibrium: Achieving Bayesian Perfect Equilibrium with Belief Update Fictitious Play.
CoRR
Qi Ju, Zhemei Fang, Yunfeng Luo
2024 J jnl
ELO-Rated Sequence Rewards: Advancing Reinforcement Learning Models.
CoRR
Qi Ju, Falin Hei, Zhemei Fang, Yunfeng Luo
2024 — conf
From First-Order to Second-Order Rationality: Advancing Game Convergence with Dynamic Weighted Fictitious Play.
PRICAI (5)
Qi Ju, Falin Hei, Yuxuan Liu, Zhemei Fang, Yunfeng Luo
2024 J jnl
Integrating Dynamic Weighted Approach with Fictitious Play and Pure Counterfactual Regret Minimization for Equilibrium Finding.
CoRR
Qi Ju, Falin Hei, Zhemei Fang, Yunfeng Luo
2024 J jnl
Performance-guaranteed prescribed-time bipartite consensus of networked Lagrangian agents with bounded inputs and signed digraphs.
J. Frankl. Inst.
Teng-Fei Ding, Sheng Gong, Ming-Feng Ge, Zhi-Wei Liu, Zhemei Fang
2024 J jnl
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies.
CoRR
Qi Ju, Thomas Tellier, Meng Sun, Zhemei Fang, Yunfeng Luo
2023 J jnl
Pure Monte Carlo Counterfactual Regret Minimization.
CoRR
Qi Ju, Ting Feng, Falun Hei, Zhemei Fang, Yunfeng Luo
2022 B conf
Exploring Decision Patterns for Supporting DoDAF based Architecture Design.
SMC
Zhemei Fang, Wenjing Jin
2022 B conf
Exploring Functional Dependency Network Based Order-Degree Analysis for Resilient System-of-Systems Architecture Design.
SMC
Yaping Liu, Zhemei Fang, Xiaozhen Qin, Wenjing Jin
2022 J jnl
System-of-Systems Architecture Selection: A Survey of Issues, Methods, and Opportunities.
IEEE Syst. J.
Zhemei Fang
2021 B conf
Interdependency Incorporated Combat System-of-Systems Architecture Selection Towards Capability Optimization.
SMC
Zhemei Fang, Dazhi Chen, Jingjing Liao
2020 J jnl
Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution.
Complex.
Zhemei Fang, Xiaozhou Zhou, Ani Song
2020 B conf
Improving System-of-Systems Agility through Dynamic Reconfiguration.
SMC
Zhemei Fang, Jingjing Liao, Xiaozhou Zhou
2020 J jnl
System-of-systems tools and techniques for the analysis of cyber-physical systems.
Syst. Eng.
Cesare Guariniello, Ali K. Raz, Zhemei Fang, Daniel DeLaurentis
2018 J jnl
Multistakeholder Dynamic Optimization for Acknowledged System-of-Systems Architecture Selection.
IEEE Syst. J.
Zhemei Fang, Navindran Davendralingam, Daniel DeLaurentis
2014 — conf
An Analytic Workbench Perspective to Evolution of System of Systems Architectures.
CSER
Navindran Davendralingam, Daniel DeLaurentis, Zhemei Fang, Cesare Guariniello, Seung Yeob Han, Karen B. Marais, Ankur Mour, Payuna Uday
2014 — conf
Dynamic Planning of System of Systems Architecture Evolution.
CSER
Zhemei Fang, Daniel DeLaurentis
2013 — conf
An Approach to Facilitate Decision Making on Architecture Evolution Strategies.
CSER
Zhemei Fang, Daniel DeLaurentis, Navindran Davendralingam

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.