Yang Wei - RankMe

13 papers A* 3Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction. AAAI Hang Zhou, Wentao Yu, Yang Wei, Guangyu Li, Sha Xu, Chen Gong
2026	A*	`conf`	Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning. AAAI Yiliu Sun, Zicheng Zhao, Yang Wei, Yanfang Zhang, Chen Gong
2025	J	`jnl`	Robust Learning under Hybrid Noise. ACM Trans. Intell. Syst. Technol. Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong
2025	J	`jnl`	Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning. CoRR Yiliu Sun, Zicheng Zhao, Yang Wei, Yanfang Zhang, Chen Gong
2024	J	`jnl`	Robust Learning under Hybrid Noise. CoRR Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong
2021	J	`jnl`	δ-Norm-Based Robust Regression With Applications to Image Analysis. IEEE Trans. Cybern. Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong
2020	J	`jnl`	Harnessing Side Information for Classification Under Label Noise. IEEE Trans. Neural Networks Learn. Syst. Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao
2020	J	`jnl`	Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees. IEEE Trans. Image Process. Hengmin Zhang, Jianjun Qian, Bob Zhang, Jian Yang, Chen Gong, Yang Wei
2019	J	`jnl`	Obstacle Detection by Fusing Point Clouds and Monocular Image. Neural Process. Lett. Yang Wei, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian
2018	A*	`conf`	Adversarial Metric Learning. IJCAI Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
2018	J	`jnl`	Adversarial Metric Learning. CoRR Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
2017	—	`conf`	Harnessing U-disparity in Point Clouds for Obstacle Detection. ACPR Yang Wei, Chen Gong, Shuo Chen
2017	J	`jnl`	Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification. IEEE Trans. Image Process. Shuo Chen, Jian Yang, Lei Luo, Yang Wei, Kaihua Zhang, Ying Tai

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.