Baobao Zhang - RankMe

31 papers A* 4A 1B 6C 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Vision-Language-Action Model with Visual Prompt for OFF-Road Autonomous Driving. CoRR Liangdong Zhang, Yiming Nie, Haoyang Li, Fanjie Kong, Baobao Zhang, Shunxin Huang, Kai Fu, Chen Min, Liang Xiao
2025	J	`jnl`	Local US officials' views on the impacts and governance of AI: Evidence from 2022 and 2023 survey waves. CoRR Sophia Hatz, Noemi Dreksler, Kevin Wei, Baobao Zhang
2024	A*	`conf`	Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification. AAAI A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon M. Kleinberg, Siddhartha Sen, Baobao Zhang
2024	J	`jnl`	Gearbox Fault Diagnosis Method in Noisy Environments Based on Deep Residual Shrinkage Networks. Sensors Jianhui Cao, Jianjie Zhang, Xinze Jiao, Peibo Yu, Baobao Zhang
2024	J	`jnl`	Research on Small Sample Rolling Bearing Fault Diagnosis Method Based on Mixed Signal Processing Technology. Symmetry Peibo Yu, Jianjie Zhang, Baobao Zhang, Jianhui Cao, Yihang Peng
2022	A*	`conf`	Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract). IJCAI Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz, Allan Dafoe
2022	J	`jnl`	Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers. CoRR Baobao Zhang, Noemi Dreksler, Markus Anderljung, Lauren Kahn, Charlie Giattino, Allan Dafoe, Michael C. Horowitz
2022	C	`conf`	No Rage Against the Machines: Threat of Automation Does Not Change Policy Preferences. AIES Baobao Zhang
2021	J	`jnl`	An information real-time synchronisation system across different media based on position encoding for mobile computing. Int. J. Comput. Appl. Technol. Jingxian Zhou, Guangming Zheng, Baobao Zhang, Chunbo Liu, Zhaojun Gu
2021	J	`jnl`	Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers. CoRR Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz, Allan Dafoe
2021	J	`jnl`	Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers. J. Artif. Intell. Res. Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz, Allan Dafoe
2021	C	`conf`	Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences. AIES Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz
2021	J	`jnl`	Skilled and Mobile: Survey Evidence of Immigration Preferences of AI Researchers. CoRR Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz
2020	C	`conf`	U.S. Public Opinion on the Governance of Artificial Intelligence. AIES Baobao Zhang, Allan Dafoe
2019	J	`jnl`	U.S. Public Opinion on the Governance of Artificial Intelligence. CoRR Baobao Zhang, Allan Dafoe
2018	A	`conf`	USTR: A High-Performance Traffic Engineering Approach for the Failed Link. ICDCS Anmin Xu, Jun Bi, Baobao Zhang, Tianran Xu, Jianping Wu
2018	J	`jnl`	Viewpoint: When Will AI Exceed Human Performance? Evidence from AI Experts. J. Artif. Intell. Res. Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans
2017	B	`conf`	Failure Inference for shortening traffic Detours. IWQoS Anmin Xu, Jun Bi, Baobao Zhang, Shuhe Wang, Jianping Wu
2017	J	`jnl`	When Will AI Exceed Human Performance? Evidence from AI Experts. CoRR Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans
2015	J	`jnl`	A Hybrid Hierarchical Control Plane for Flow-Based Large-Scale Software-Defined Networks. IEEE Trans. Netw. Serv. Manag. Yonghong Fu, Jun Bi, Ze Chen, Kai Gao, Baobao Zhang, Guangxu Chen, Jianping Wu
2014	A*	`conf`	CTE: cost-effective intra-domain traffic engineering. SIGCOMM Baobao Zhang, Jun Bi, Jianping Wu, Fred Baker
2014	B	`conf`	LAS: An effective anti-spoofing method using existing information. ICCCN Baobao Zhang, Jun Bi, Jianping Wu
2013	A*	`conf`	Making intra-domain traffic engineering resistant to failures. SIGCOMM Baobao Zhang, Jun Bi, Jianping Wu
2013	B	`conf`	RPFP: IP fast reroute with providing complete protection and without using tunnels. IWQoS Baobao Zhang, Jianping Wu, Jun Bi
2013	B	`conf`	Refining IP-to-AS Mappings for AS-Level Traceroute. ICCCN Baobao Zhang, Jun Bi, Yangyang Wang, Yu Zhang, Jianping Wu
2012	B	`conf`	AFEC: A method of aggregating forwarding equivalence classes based on overlapped paths. ICNP Baobao Zhang, Jun Bi, Jianping Wu
2012	J	`jnl`	Catching popular prefixes at AS border routers with a prediction based method. Comput. Networks Wei Zhang, Jun Bi, Jianping Wu, Baobao Zhang
2011	J	`jnl`	A Framework to Quantify the Pitfalls of Using Traceroute in AS-Level Topology Measurement. IEEE J. Sel. Areas Commun. Yu Zhang, Ricardo V. Oliveira, Yangyang Wang, Shen Su, Baobao Zhang, Jun Bi, Hongli Zhang, Lixia Zhang
2011	B	`conf`	Caching Popular BGP Prefixes with Grey Modeling Prediction. ICCCN Wei Zhang, Jun Bi, Jianping Wu, Baobao Zhang
2011	—	`conf`	Revisiting IP-to-AS mapping for AS-level traceroute. StudentWorkshop@CoNEXT Baobao Zhang, Jun Bi, Yangyang Wang, Yu Zhang, Jianping Wu
2009	—	`conf`	TSGen: A UML Activity Diagram-Based Test Scenario Generation Tool. CSE (2) Chang-Ai Sun, Baobao Zhang, Jin Li

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.

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.