Gang Wang

61 papers A* 5A 6C 1Journal 46Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Aerosp. Electron. Syst.
Gang Wang, Zhenhong Wei, Zongyu Zuo, Hefeng Zhan, Peng Li
2025 A conf
IROS
Chaoquan Tang, Jingwen Lu, Xiaowen Sun, Erfei Gao, Gongbo Zhou, Gang Wang, Shugen Ma, Eryi Hu, Peng Li
2025 J jnl
IEEE Trans. Intell. Transp. Syst.
Xinyu Li, Zongyu Zuo, Gang Wang, Zhenhong Wei
2025 J jnl
CoRR
Xiaoyi Hu, Yue Mao, Gang Wang, Qingdu Li, Jianwei Zhang, Yunfeng Ji
2025 J jnl
Eng. Appl. Artif. Intell.
Xiaoyi Hu, Yue Mao, Gang Wang, Qingdu Li, Jianwei Zhang, Yunfeng Ji
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Gang Wang, Zongyu Zuo, Peng Li, Yantao Shen
2025 J jnl
IEEE CAA J. Autom. Sinica
Gang Wang, Zhenhong Wei, Peng Li
2025 J jnl
Int. J. Control
Xuan Cai, Gang Wang, Shuxin Liu
2025 A* conf
ICRA
Tao Yang, Peng Li, Gang Wang, Yantao Shen
2024 J jnl
J. Syst. Control. Eng.
Mengqi Zhang, Gang Wang, Chaoli Wang
2024 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Gang Wang, Zongyu Zuo
2024 J jnl
Autom.
Gang Wang, Zongyu Zuo
2024 J jnl
IEEE Trans. Signal Inf. Process. over Networks
Gang Wang, Zongyu Zuo, Peng Li
2024 J jnl
Int. J. Control
Yunfeng Hou, Yunfeng Ji, Gang Wang, Ching-Yen Weng, Qingdu Li
2024 J jnl
IEEE Trans. Control. Netw. Syst.
Yunfeng Hou, Yunfeng Ji, Gang Wang, Ching-Yen Weng, Qingdu Li
2023 J jnl
IEEE Trans. Control. Netw. Syst.
Yunfeng Hou, Qingdu Li, Yunfeng Ji, Gang Wang, Ching-Yen Weng
2023 J jnl
IEEE Trans. Control. Netw. Syst.
Gang Wang
2023 J jnl
Circuits Syst. Signal Process.
Fei Li, Gang Wang, Yunfeng Hou, Chaoli Wang, Qingdu Li
2023 A conf
IROS
Liuyin Wang, Gang Wang, Yuan Li, Peng Li, Yunfeng Ji, Chaoli Wang, Yantao Shen
2023 J jnl
CoRR
Gang Wang, Zongyu Zuo, Chaoli Wang
2023 J jnl
Autom.
Gang Wang, Zongyu Zuo, Chaoli Wang
2022 J jnl
IEEE Trans. Netw. Sci. Eng.
Gang Wang
2022 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Gang Wang, Chaoli Wang
2022 A* conf
ICRA
Pengcheng Gao, Gang Wang, Yunfeng Ji, Qingdu Li, Jianwei Zhang, Yantao Shen, Peng Li
2022 J jnl
CoRR
Yunfeng Hou, Yunfeng Ji, Gang Wang, Ching-Yen Weng, Qingdu Li
2022 J jnl
Int. J. Syst. Sci.
Xuan Cai, Chaoli Wang, Shuxin Liu, Guochu Chen, Gang Wang
2021 J jnl
IEEE Access
Yunfeng Ji, Gang Wang, Wei Li, Qingdu Li, Jianwei Zhang
2021 J jnl
IEEE Robotics Autom. Lett.
Na Zhao, Weixin Yang, Cong Peng, Gang Wang, Yantao Shen
2021 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Gang Wang, Chaoli Wang, Zhengtao Ding, Yunfeng Ji
2021 A conf
IROS
Yunfeng Ji, Xiaoyi Hu, Yutao Chen, Yue Mao, Gang Wang, Qingdu Li, Jianwei Zhang
2021 A* conf
ICRA
Na Zhao, Weixin Yang, Cong Peng, Gang Wang, Yantao Shen
2021 J jnl
CoRR
Yunfeng Hou, Qingdu Li, Yunfeng Ji, Gang Wang
2020 J jnl
J. Frankl. Inst.
Gang Wang, Yunfeng Ji, Chaoli Wang
2020 J jnl
IEEE Access
Fangyan Yang, Wei Li, Yun Zhang, Gang Wang
2020 A* conf
ICRA
Gang Wang, Weixin Yang, Na Zhao, Yunfeng Ji, Yantao Shen, Hao Xu, Peng Li
2020 J jnl
IEEE Access
Yunfeng Ji, Song Tang, Na Liu, Gang Wang, Qingdu Li, Jianwei Zhang
2020 J jnl
CoRR
Gang Wang, Chaoli Wang, Zhengtao Ding, Yunfeng Ji
2020 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Gang Wang, Chaoli Wang, Lin Li
2020 J jnl
Neurocomputing
Xuan Cai, Chaoli Wang, Gang Wang, Luyan Xu, Jiehan Liu, Zhihua Zhang
2020 A conf
IROS
Weixin Yang, Gang Wang, Yantao Shen
2019 — conf
AIM
Cong Peng, Yudong Luo, Gang Wang, Fang Jiang, Peng Li, Yantao Shen
2019 A conf
IROS
Gang Wang, Weixin Yang, Na Zhao, Peng Li, Yantao Shen, Chaoli Wang
2019 J jnl
Int. J. Control
Gang Wang, Chaoli Wang, Yantao Shen
2019 J jnl
Autom.
Gang Wang
2019 J jnl
Int. J. Syst. Sci.
Xuan Cai, Chaoli Wang, Gang Wang, Yu Li, Luyan Xu, Zhihua Zhang
2019 — conf
AIM
Weixin Yang, Gang Wang, Yantao Shen
2019 J jnl
Neurocomputing
Yu Li, Chaoli Wang, Xuan Cai, Lin Li, Gang Wang
2019 A* conf
ICRA
Weixin Yang, Gang Wang, Haiyan Shao, Yantao Shen
2018 A conf
IROS
Gang Wang, Weixin Yang, Yantao Shen, Haiyan Shao
2018 J jnl
IEEE Robotics Autom. Lett.
Gang Wang, Weixin Yang, Yantao Shen, Haiyan Shao, Chaoli Wang
2018 J jnl
J. Intell. Robotic Syst.
Gang Wang, Chaoli Wang, Xuan Cai, Yunfeng Ji
2018 J jnl
Neurocomputing
Xuan Cai, Chaoli Wang, Gang Wang, Dengyu Liang
2017 J jnl
J. Frankl. Inst.
Gang Wang, Chaoli Wang, Lin Li, Zhihua Zhang
2017 J jnl
Int. J. Syst. Sci.
Gang Wang, Chaoli Wang, Yan Yan, Lin Li, Xuan Cai
2016 J jnl
J. Intell. Robotic Syst.
Gang Wang, Chaoli Wang, Qinghui Du, Lin Li, Wenjie Dong
2016 J jnl
Neurocomputing
Gang Wang, Chaoli Wang, Lin Li, Qinghui Du
2016 J jnl
Int. J. Syst. Sci.
Gang Wang, Chaoli Wang, Qinghui Du, Xuan Cai
2016 C conf
ACC
Gang Wang, Chaoli Wang
2016 J jnl
Neurocomputing
Gang Wang, Chaoli Wang, Xuan Cai, Lin Li
2016 — conf
RCAR
Gang Wang, Chaoli Wang
2014 J jnl
J. Robotics Netw. Artif. Life
Hengjun Zhang, Chaoli Wang, Gang Wang

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.