Qingyu Wu - RankMe

18 papers Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A CMOS circuit for ultra high frequency chaos generation utilizing a Clapp oscillator with dual memristors. Integr. Zhikui Duan, Dayi Yang, Shaobo He, Xinmei Yu, Zhuorui Tang, Qingyu Wu
2026	J	`jnl`	Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition. CoRR Qingyu Wu, Jianfei Shen, Feiyi Fan, Yang Gu, Chenyang Xu, Yiqiang Chen
2026	J	`jnl`	Vectra: A New Metric, Dataset, and Model for Visual Quality Assessment in E-Commerce In-Image Machine Translation. CoRR Qingyu Wu, Yuxuan Han, Haijun Li, Zhao Xu, Jianshan Zhao, Xu Jin, Longyue Wang, Weihua Luo
2025	J	`jnl`	A Robust Low-Power Power-On-Reset Circuit With Dual Threshold Method. Int. J. Circuit Theory Appl. Luchang He, Chenchen Xie, Qingyu Wu, Liping Xu, Houpeng Chen, Xi Li, Zhitang Song
2025	J	`jnl`	PhysCL: Knowledge-Aware Contrastive Learning of Physiological Signal Models for Cuff-Less Blood Pressure Estimation. IEEE J. Biomed. Health Informatics Renju Liu, Jianfei Shen, Yang Gu, Yiqiang Chen, Jiling Zhang, Qingyu Wu, Chenyang Xu, Feiyi Fan
2024	J	`jnl`	A Construction of C Found. Comput. Math. Jun Hu, Ting Lin, Qingyu Wu
2024	J	`jnl`	A Low-Cost Quadruple-Node-Upsets Resilient Latch Design. IEEE Trans. Very Large Scale Integr. Syst. Luchang He, Chenchen Xie, Qingyu Wu, Siqiu Xu, Houpeng Chen, Xing Ding, Xi Li, Zhitang Song
2024	J	`jnl`	A Power-On-Reset Circuit With Accurate Trigger-Point Voltage and Ultralow Typical Quiescent Current for Emerging Nonvolatile Memory. IEEE Trans. Very Large Scale Integr. Syst. Luchang He, Chenchen Xie, Zhao Han, Qingyu Wu, Houpeng Chen, Shibing Long, Xi Li, Zhitang Song
2024	J	`jnl`	Can consumer big data reveal often-overlooked urban poverty? Evidence from Guangzhou, China. Comput. Environ. Urban Syst. Qingyu Wu, Yuquan Zhou, Yuan Yuan, Xi Chen, Huiwen Liu
2024	J	`jnl`	Local Comput. Math. Appl. Jun Hu, Ting Lin, Qingyu Wu
2024	J	`jnl`	Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial. CoRR Xian Zhong, Zohaib Salahuddin, Yi Chen, Henry C. Woodruff, Haiyi Long, Jianyun Peng, Nuwan Udawatte, Roberto Casale, Ayoub Mokhtari, Xiaoer Zhang, Jiayao Huang, Qingyu Wu, Li Tan, Lili Chen, Dongming Li, Xiaoyan Xie, Manxia Lin, Philippe Lambin
2024	—	`conf`	Parallel Attention Based Network for Human Activity Recognition Using Wearable Devices. ICPR (13) Chenyang Xu, Feiyi Fan, Guanzhou Ke, Changru Guo, Qingyu Wu, Jianfei Shen
2024	J	`jnl`	The condition for constructing a finite element from a superspline. CoRR Jun Hu, Ting Lin, Qingyu Wu, Beihui Yuan
2023	—	`conf`	Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition. BIBM Qingyu Wu, Jianfei Shen, Feiyi Fan, Yang Gu, Chenyang Xu, Yiqiang Chen
2023	J	`jnl`	Multi-Mode Surface Wave Tomography of a Water-Rich Layer of the Jizhong Depression Using Beamforming at a Dense Array. Remote. Sens. Qingyu Wu, Qiusheng Li, Xiangyun Hu, Zhanwu Lu, Wenhui Li, Xiaoran Wang, Guangwen Wang
2022	J	`jnl`	A hybrid deep learning model based low-rate DoS attack detection method for software defined network. Trans. Emerg. Telecommun. Technol. Wenwen Sun, Shaopeng Guan, Peng Wang, Qingyu Wu
2022	—	`conf`	Motion-Robust Respiratory Signal Reconstruction Using Smart Glasses. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Qingyu Wu, Jianfei Shen, Yang Gu, Feiyi Fan, Yiqiang Chen
2021	J	`jnl`	A Construction of $C^r$ Conforming Finite Element Spaces in Any Dimension. CoRR Jun Hu, Ting Lin, Qingyu Wu

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.