Yahui Ding - RankMe

17 papers A* 1B 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DUP: Detection-guided Unlearning for Backdoor Purification in Language Models. AAAI Man Hu, Yahui Ding, Yatao Yang, Liangyu Chen, Yanhao Jia, Shuai Zhao
2026	J	`jnl`	Multi-bit watermarking for deep models via clean trigger samples and pairwise class-difference vectors. J. King Saud Univ. Comput. Inf. Sci. Jing Xiao, Song Xiao, Weize Li, Yahui Ding, Chuce He
2025	J	`jnl`	DUP: Detection-guided Unlearning for Backdoor Purification in Language Models. CoRR Man Hu, Yahui Ding, Yatao Yang, Liangyu Chen, Yanhao Jia, Shuai Zhao
2024	J	`jnl`	A Novel Analysis of Super-Resolution for Born-Iterative-Type Algorithms in Microwave Medical Sensing and Imaging. Sensors Yahui Ding, Zheng Gong, Hui Zhang, Yifan Chen, Jun Hu, Yongpin Chen
2024	J	`jnl`	Research on the Influence of Multi-Scene Feature Classification on Ink and Wash Style Transfer Effect of ChipGAN. IEEE Access Nan Liu, Hongjuan Wang, Likun Lu, Yahui Ding, Miaomiao Tian
2024	J	`jnl`	TCP-RBA: Semi-supervised learning for traditional chinese painting classification with random brushwork augment. J. Intell. Fuzzy Syst. Yahui Ding, Hongjuan Wang, Nan Liu, Tong Li
2023	J	`jnl`	Analysis of the Development Status and Prospect of China's Agricultural Sensor Market under Smart Agriculture. Sensors Ning Sun, Beibei Fan, Yahui Ding, Yuanjinsheng Liu, Yuyun Bi, Patience Afi Seglah, Chunyu Gao
2023	J	`jnl`	Energy-Efficient Coverage and Capacity Enhancement With Intelligent UAV-BSs Deployment in 6G Edge Networks. IEEE Trans. Intell. Transp. Syst. Peng Yu, Yahui Ding, Zifan Li, Jingyue Tian, Junye Zhang, Yanbo Liu, Wenjing Li, Xuesong Qiu
2023	J	`jnl`	Quantitative Analysis of Super Resolution in Electromagnetic Inverse Scattering for Microwave Medical Sensing and Imaging. Sensors Yahui Ding, Zheng Gong, Yifan Chen, Jun Hu, Yongpin Chen
2022	J	`jnl`	Intelligent-Driven Green Resource Allocation for Industrial Internet of Things in 5G Heterogeneous Networks. IEEE Trans. Ind. Informatics Peng Yu, Mo Yang, Ao Xiong, Yahui Ding, Wenjing Li, Xuesong Qiu, Luoming Meng, Michel Kadoch, Mohamed Cheriet
2021	J	`jnl`	Data Transmission Evaluation and Allocation Mechanism of the Optimal Routing Path: An Asynchronous Advantage Actor-Critic (A3C) Approach. Wirel. Commun. Mob. Comput. Yahui Ding, Jianli Guo, Xu Li, Xiujuan Shi, Peng Yu
2021	—	`conf`	Optimal Deployment Methods of Multi-UAVs for Capacity Enhancement under Weak Coverage. ComComAP Yahui Ding, Peng Yu, Wenjing Li, Lei Feng, Fanqin Zhou
2020	—	`conf`	Optimization of Data Delivery Performance for Broadcasting System over Dynamic Networks. BMSB Jianli Guo, Yahui Ding, Yi Zhang, Xiujuan Shi, Peng Yu
2020	J	`jnl`	Three-dimensional aerial base station location for sudden traffic with deep reinforcement learning in 5G mmWave networks. Int. J. Distributed Sens. Networks Peng Yu, Jianli Guo, Yonghua Huo, Xiujuan Shi, Jiahui Wu, Yahui Ding
2020	B	`conf`	Transmission Guarantee Method of End-to-end Service In Narrowband Dynamic Environment. IWCMC Yahui Ding, Peng Yu, Jianli Guo, Xiujuan Shi, Yi Zhang
2016	—	`conf`	Human Action Recognition by Fusion of Convolutional Neural Networks and spatial-temporal Information. ICIMCS Weisheng Li, Yahui Ding
2016	J	`jnl`	StemCellCKB: An Integrated Stem Cell-Specific Chemogenomics KnowledgeBase for Target Identification and Systems-Pharmacology Research. J. Chem. Inf. Model. Yu Zhang, Lirong Wang, Zhiwei Feng, Haizi Cheng, Terence Francis McGuire, Yahui Ding, Tao Cheng, Yingdai Gao, Xiang-Qun Xie

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.