Zhangyi Hu - RankMe

11 papers A* 3Misc 1Journal 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multimodal Deception in Explainable AI: Concept-Level Backdoor Attacks on Concept Bottleneck Models. Trans. Mach. Learn. Res. Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, TianlangXue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Zongyang Liu, Yutao Yue
2025	A*	`conf`	IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction. ICML Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue
2025	J	`jnl`	IMTS is Worth Time ⨉ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction. CoRR Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue
2025	A*	`conf`	Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models. ACM Multimedia Songning Lai, Mingqian Liao, Zhangyi Hu, Jiayu Yang, Wenshuo Chen, Hongru Xiao, Jianheng Tang, Haicheng Liao, Yutao Yue
2025	J	`jnl`	RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models. CoRR Yang Yang, Hua Xu, Zhangyi Hu, Yutao Yue
2025	J	`jnl`	Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms. CoRR Ninghui Feng, Songning Lai, Xin Zhou, Jiayu Yang, Kunlong Feng, Zhenxiao Yin, Fobao Zhou, Zhangyi Hu, Yutao Yue, Yuxuan Liang, Boyu Wang, Hang Zhao
2024	J	`jnl`	CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models. CoRR Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, Tianlang Xue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Yutao Yue
2024	A*	`conf`	Empowering Visible-Infrared Person Re-Identification with Large Foundation Models. NeurIPS Zhangyi Hu, Bin Yang, Mang Ye
2024	J	`jnl`	Learning New Concepts, Remembering the Old: A Novel Continual Learning. CoRR Songning Lai, Mingqian Liao, Zhangyi Hu, Jiayu Yang, Wenshuo Chen, Yutao Yue
2019	Misc	`conf`	A Distributionally Robust Boosting Algorithm. WSC Jose H. Blanchet, Fan Zhang, Yang Kang, Zhangyi Hu
2019	J	`jnl`	A Distributionally Robust Boosting Algorithm. CoRR Jose H. Blanchet, Yang Kang, Fan Zhang, Zhangyi Hu

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.