Zeyu Feng

25 papers A* 7Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowl. Inf. Syst.
Zhen Jiang, Haolei Qin, Zeyu Feng, Haizhen Guan
2025 A* conf
ICRA
Zeyu Feng, Hao Luan, Kevin Yuchen Ma, Harold Soh
2025 J jnl
CoRR
Jiannan Xiang, Yi Gu, Zihan Liu, Zeyu Feng, Qiyue Gao, Yiyan Hu, Benhao Huang, Guangyi Liu, Yichi Yang, Kun Zhou, Davit Abrahamyan, Arif Ahmad, Ganesh Bannur, Junrong Chen, Kimi Chen, Mingkai Deng, Ruobing Han, Xinqi Huang, Haoqiang Kang, Zheqi Li, Enze Ma, Hector Ren, Yashowardhan Shinde, Rohan Shingre, Ramsundar Tanikella, Kaiming Tao, Dequan Yang, Xinle Yu, Cong Zeng, Binglin Zhou, Hector Liu, Zhiting Hu, Eric P. Xing
2025 J jnl
Neural Networks
Zhen Jiang, Zeyu Feng, Bolin Niu
2025 J jnl
Swarm Evol. Comput.
Zeyu Feng, Zhiyuan Zou, Xu Liang
2024 J jnl
CoRR
Zeyu Feng, Hao Luan, Kevin Yuchen Ma, Harold Soh
2024 J jnl
CoRR
Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian J. McAuley, Eric P. Xing, Zichao Yang, Zhiting Hu
2024 — conf
ACAI
Zeyu Feng, Xu Liang, Zhiyuan Zou
2024 J jnl
IEEE Robotics Autom. Lett.
Zeyu Feng, Hao Luan, Pranav Goyal, Harold Soh
2024 J jnl
CoRR
Zeyu Feng, Hao Luan, Pranav Goyal, Harold Soh
2024 J jnl
CoRR
Jiannan Xiang, Guangyi Liu, Yi Gu, Qiyue Gao, Yuting Ning, Yuheng Zha, Zeyu Feng, Tianhua Tao, Shibo Hao, Yemin Shi, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2024 — conf
WWW (Companion Volume)
Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhao, Yuqi Zhang
2024 A* conf
ICML
Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian J. McAuley, Zichao Yang, Eric P. Xing, Zhiting Hu
2023 A* conf
EMNLP
Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
2023 A* conf
ICRA
Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
2023 J jnl
CoRR
Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhao, Yuqi Zhang
2022 J jnl
CoRR
Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
2022 J jnl
CoRR
Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
2021 J jnl
IEEE Trans. Image Process.
Zeyu Feng, Chang Xu, Dacheng Tao
2021 — conf
iConference (1)
Guancan Yang, Shuang Gao, Zeyu Feng, Lingling Wang, Yidan Xu
2021 A* conf
ICDM
Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu
2020 J jnl
CoRR
Zeyu Feng, Chang Xu, Dacheng Tao
2019 A* conf
ICCV
Zeyu Feng, Chang Xu, Dacheng Tao
2019 A* conf
CVPR
Zeyu Feng, Chang Xu, Dacheng Tao
2018 — conf
GCAI
Zeyu Feng, Chang Xu, Dacheng Tao

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.