Yang Bai

37 papers A* 2A 3C 5Journal 16Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Jie Song, Yang Bai, Naoki Wakamiya
2026 J jnl
Int. J. Syst. Sci.
Qiyi Wang, Yang Bai, Li Peng
2026 — conf
ICARA
Aleksei Kislovskii, Tatyana Tsoy, Yang Bai, Edgar A. Martínez-García, Mikhail M. Svinin, Evgeni Magid
2025 J jnl
CoRR
Jie Song, Yang Bai, Mikhail M. Svinin, Naoki Wakamiya
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Zhaoyi Li, Wenjie Mei, Ke Yu, Yang Bai, Shihua Li
2025 J jnl
IEEE Trans. Autom. Control.
Yaosheng Deng, Masaki Ogura, Yang Bai, Yujie Wang, Mir Feroskhan
2025 J jnl
CoRR
Yu Sun, Yaosheng Deng, Wenjie Mei, Xiaogang Xiong, Yang Bai, Masaki Ogura, Zude Zhou, Mir Feroskhan, Michael Yu Wang, Qiyang Zuo, Yao Li, Yunjiang Lou
2024 — conf
ICR
Maksim Mustafin, Tatyana Tsoy, Yang Bai, Mikhail M. Svinin, Elvira Chebotareva
2024 — conf
ICARA
Renat Abdulganeev, Roman Lavrenov, Alexandra Dobrokvashina, Yang Bai, Evgeni Magid
2024 J jnl
CoRR
Yang Bai, Phuoc Thanh Tran Ngoc, Huu Duoc Nguyen, Duc Long Le, Quang Huy Ha, Kazuki Kai, Yu Xiang See To, Yaosheng Deng, Jie Song, Naoki Wakamiya, Hirotaka Sato, Masaki Ogura
2024 J jnl
CoRR
Yaosheng Deng, Yang Bai, Yujie Wang, Masaki Ogura, Mir Feroskhan
2023 J jnl
IEEE Control. Syst. Lett.
Yang Bai, Yujie Wang, Xiaogang Xiong, Jie Song, Mikhail M. Svinin
2022 — conf
ASCC
Keerati Fungtammasan, Yang Bai, Mikhail M. Svinin, Fumitoshi Matsuno, Evgeni Magid, Jackrit Suthakorn
2022 C conf
ACC
Yang Bai, Yujie Wang, Xiaogang Xiong, Mikhail M. Svinin, Evgeni Magid
2022 J jnl
IEEE Control. Syst. Lett.
Yang Bai, Yujie Wang, Mikhail M. Svinin, Evgeni Magid, Ruisheng Sun
2022 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Xiaogang Xiong, Rahul Kumar Sharma, Shyam Kamal, Sandip Ghosh, Yang Bai, Yunjiang Lou
2022 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Xiaogang Xiong, Yang Bai, Ran Shi, Shyam Kamal, Yujie Wang, Yunjiang Lou
2022 C conf
ICINCO
Ruslan Gabdrahmanov, Tatyana Tsoy, Yang Bai, Mikhail M. Svinin, Evgeni Magid
2022 J jnl
Artif. Life Robotics
Koki Asami, Yang Bai, Mikhail M. Svinin, Michinori Hatayama
2022 J jnl
Artif. Life Robotics
Evgeni Magid, Fumitoshi Matsuno, Jackrit Suthakorn, Mikhail M. Svinin, Yang Bai, Tatyana Tsoy, Ramil Safin, Roman Lavrenov, Aufar Zakiev, Hiroaki Nakanishi, Michinori Hatayama, Takahiro Endo
2021 — conf
UR
Ji Ma, Dongfeng Guo, Yang Bai, Mikhail M. Svinin, Evgeni Magid
2021 — conf
CLAWAR
Ruslan Gabdrahmanov, Tatyana Tsoy, Yang Bai, Mikhail M. Svinin, Evgeni Magid
2021 J jnl
Robotica
Yang Bai, Mikhail M. Svinin, Evgeni Magid, Yujie Wang
2021 — conf
ICR
Valery Myrzin, Tatyana Tsoy, Yang Bai, Mikhail M. Svinin, Evgeni Magid
2020 — conf
UR
Yang Bai, Koki Asami, Mikhail M. Svinin, Evgeni Magid
2020 — conf
SII
Yang Bai, Mikhail M. Svinin, Yujie Wang, Evgeni Magid
2020 J jnl
IEEE Control. Syst. Lett.
Yang Bai, Yujie Wang, Mikhail M. Svinin, Evgeni Magid, Ruisheng Sun
2020 C conf
DeSE
Alexandra Dobrokvashina, Roman Lavrenov, Edgar Alonso Martínez-García, Yang Bai
2020 — conf
SICE
Yang Bai, Mikhail M. Svinin, Evgeni Magid
2020 — conf
ICR
Elvira Chebotareva, Tatyana Tsoy, Bulat Abbyasov, Jamila Mustafina, Edgar A. Martínez-García, Yang Bai, Mikhail M. Svinin
2019 C conf
DeSE
Yang Bai, Mikhail M. Svinin
2019 C conf
DeSE
Yang Bai, Koki Asami, Mikhail M. Svinin
2017 A conf
IROS
Yang Bai, Mikhail M. Svinin, Motoji Yamamoto
2016 A conf
IROS
Yang Bai, Mikhail M. Svinin, Motoji Yamamoto
2016 A* conf
ICRA
Yang Bai, Mikhail M. Svinin, Motoji Yamamoto
2015 A* conf
ICRA
Mikhail M. Svinin, Yang Bai, Motoji Yamamoto
2015 A conf
IROS
Yang Bai, Mikhail M. Svinin, Motoji Yamamoto

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.