Zhao-Yun Chen

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
HiMA: Hierarchical quantum microarchitecture for qubit-scaling and quantum process-level parallelism.
Future Gener. Comput. Syst.
Qi Zhou, Zi-Hao Mei, Han-Qing Shi, Liang-Liang Guo, Xiao-Yan Yang, Yun-Jie Wang, Xiao-Fan Xu, Cheng Xue, Wei-Cheng Kong, Jun-Chao Wang, Yu-Chun Wu, Zhao-Yun Chen, Guo-Ping Guo
2026 J jnl
Quantum Deep Learning: A Comprehensive Review.
CoRR
Yanjun Ji, Zhao-Yun Chen, Marco Roth, David A. Kreplin, Christian Schiffer, Martin King, Oliver Anton, M. Sahnawaz Alam, Markus Krutzik, Dennis Willsch, Ludwig Mathey, Frank K. Wilhelm, Guo-Ping Guo
2025 J jnl
A Pathway to Practical Quantum Advantage in Solving Navier-Stokes Equations.
CoRR
Xi-Ning Zhuang, Zhao-Yun Chen, Ming-Yang Tan, Jiaxuan Zhang, Chuang-Chao Ye, Tian-Hao Wei, Teng-Yang Ma, Cheng Xue, Huan-Yu Liu, Qing-Song Li, Tai-Ping Sun, Xiao-Fan Xu, Yun-Jie Wang, Yu-Chun Wu, Guo-Ping Guo
2025 J jnl
CAMEL: Physically Inspired Crosstalk-Aware Mapping and Gate Scheduling for Frequency-Tunable Quantum Chips.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Bin-Han Lu, Peng Wang, Zhao-Yun Chen, Huan-Yu Liu, Tai-Ping Sun, Peng Duan, Yu-Chun Wu, Guo-Ping Guo
2025 J jnl
Experimental robustness benchmark of quantum neural network on a superconducting quantum processor.
CoRR
Hai-Feng Zhang, Zhao-Yun Chen, Peng Wang, Liang-Liang Guo, Tian-Le Wang, Xiao-Yan Yang, Ren-Ze Zhao, Ze-An Zhao, Sheng Zhang, Lei Du, Hao-Ran Tao, Zhi-Long Jia, Wei-Cheng Kong, Huan-Yu Liu, Athanasios V. Vasilakos, Yang Yang, Yu-Chun Wu, Ji Guan, Peng Duan, Guo-Ping Guo
2025 J jnl
Quantum computational insurance and actuarial science.
Sci. China Inf. Sci.
Huan-Yu Liu, Xi-Ning Zhuang, Chao Wang, Qing-Song Li, Menghan Dou, Zhao-Yun Chen, Cheng Xue, Yu-Chun Wu, Guo-Ping Guo, Guang-Can Guo
2025 J jnl
Simulation of open quantum systems on universal quantum computers.
Quantum
Huan-Yu Liu, Xiaoshui Lin, Zhao-Yun Chen, Cheng Xue, Tai-Ping Sun, Qing-Song Li, Xi-Ning Zhuang, Yun-Jie Wang, Yu-Chun Wu, Ming Gong, Guo-Ping Guo
2024 J jnl
HiMA: Hierarchical Quantum Microarchitecture for Qubit-Scaling and Quantum Process-Level Parallelism.
CoRR
Qi Zhou, Zi-Hao Mei, Han-Qing Shi, Liang-Liang Guo, Xiao-Yan Yang, Yun-Jie Wang, Xiao-Fan Xu, Cheng Xue, Wei-Cheng Kong, Jun-Chao Wang, Yu-Chun Wu, Zhao-Yun Chen, Guo-Ping Guo
2023 J jnl
Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications.
Quantum
Xi-Ning Zhuang, Zhao-Yun Chen, Cheng Xue, Yu-Chun Wu, Guo-Ping Guo
2022 J jnl
Quantum Approach to Accelerate Finite Volume Method on Steady Computational Fluid Dynamics Problems.
Quantum Inf. Process.
Zhao-Yun Chen, Cheng Xue, Siming Chen, Bing-Han Lu, Yu-Chun Wu, Ju-Chun Ding, Sheng-Hong Huang, Guo-Ping Guo
2022 A* conf
Variational oracle guiding for reinforcement learning.
ICLR
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2021 J jnl
Quantum Quantitative Trading: High-Frequency Statistical Arbitrage Algorithm.
CoRR
Xi-Ning Zhuang, Zhao-Yun Chen, Yu-Chun Wu, Guo-Ping Guo

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.