Zheng Tong - RankMe

30 papers Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A direction-aware and expert-inspired network for internal crack size detection using on-site ground penetrating radar data. Eng. Appl. Artif. Intell. Yiming Zhang, Jiaqi Li, Zheng Tong, Weiguang Zhang, Xiyuan Shen
2026	J	`jnl`	A pavement maintenance decision-making method based on a retrieval-augmented generation framework with large language models. Adv. Eng. Informatics Tianqing Hei, Zezhen Dong, Zhiwei Xie, Zheng Tong, Tao Ma, Chengjia Han
2026	J	`jnl`	An all-in-one performance prediction model for pavement management engineering based on Bayesian Neural Network. Adv. Eng. Informatics Tianqing Hei, Zheng Tong, Zhiwei Xie, Tao Ma
2025	J	`jnl`	Capturing uncertainty intuition in road maintenance decision-making using an evidential neural network. Comput. Aided Civ. Infrastructure Eng. Tianqing Hei, Zhixin Lin, Zezhen Dong, Zheng Tong, Tao Ma
2025	J	`jnl`	Evidential transformer for buried object detection in ground penetrating radar signals and interval-based bounding box. Comput. Aided Civ. Infrastructure Eng. Zheng Tong, Yiming Zhang, Tao Ma
2025	J	`jnl`	Multi-objective decision-making method for road network-level maintenance plans based on Hadamard product and non-dominated sorting genetic Algorithm-III algorithm. Eng. Appl. Artif. Intell. Zhiwei Xie, Zheng Tong, Tao Ma, Tianqing Hei
2025	J	`jnl`	SCB-ADAE: An attention-based deep autoencoder for ground penetrating radar signal denoising. Eng. Appl. Artif. Intell. Jiahao Liu, Yiming Zhang, Liang Song, Zheng Tong
2024	J	`jnl`	Multi-stage generative adversarial networks for generating pavement crack images. Eng. Appl. Artif. Intell. Chengjia Han, Tao Ma, Ju Huyan, Zheng Tong, Handuo Yang, Yaowen Yang
2024	J	`jnl`	SWC-Net and Multi-Phase Heterogeneous FDTD Model for Void Detection Underneath Airport Pavement Slab. IEEE Trans. Intell. Transp. Syst. Yiming Zhang, Zheng Tong, Xuhui She, Siqi Wang, Weiguang Zhang, Jianwei Fan, Hanglin Cheng, Handuo Yang, Jinde Cao
2023	J	`jnl`	A deeper generative adversarial network for grooved cement concrete pavement crack detection. Eng. Appl. Artif. Intell. Jingtao Zhong, Ju Huyan, Weiguang Zhang, Hanglin Cheng, Jing Zhang, Zheng Tong, Xi Jiang, Baoshan Huang
2023	J	`jnl`	Asphalt Pavement Health Prediction Based on Improved Transformer Network. IEEE Trans. Intell. Transp. Syst. Chengjia Han, Tao Ma, Linhao Gu, Jinde Cao, Xinli Shi, Wei Huang, Zheng Tong
2023	J	`jnl`	Asphalt Pavement Residual Life Assessment Based on SmartRock Sensors. IEEE Trans. Instrum. Meas. Tao Ma, Ning Wang, Chengjia Han, Siqi Wang, Zheng Tong
2023	J	`jnl`	Evidential transformer for pavement distress segmentation. Comput. Aided Civ. Infrastructure Eng. Zheng Tong, Tao Ma, Weiguang Zhang, Ju Huyan
2023	—	`conf`	Research on Relationship Between Bullet Screen Attributes in Medical Popular Science Videos and The audience's cognitive load. ICKII Wenjuan Xu, Zheng Tong
2022	—	`—`	Evidential deep neural network in the framework of Dempster-Shafer theory. (Réseau de neurones profonds probants dans le cadre de la théorie de Dempster-Shafer). Zheng Tong
2022	J	`jnl`	Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation. CoRR Zheng Tong, Tao Ma, Ju Huyan, Weiguang Zhang
2022	—	`conf`	The Research on Current Automated Driving ODD Regulations, Standards and Applications. RCAR Chen Chen, Qidong Zhao, Zheng Tong, Zhai Yang, Xianglei Zhu
2022	—	`conf`	The Research on the Identification of ACC SOTIF Triggering Conditions Based on Scenario Analysis. RCAR Qidong Zhao, Zheng Tong, Yunshuang Zhang, Chen Chao, Qingyu Zhang, Shuai Zhao, Zhibin Du
2021	J	`jnl`	An evidential classifier based on Dempster-Shafer theory and deep learning. CoRR Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	An evidential classifier based on Dempster-Shafer theory and deep learning. Neurocomputing Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	Evidential fully convolutional network for semantic segmentation. Appl. Intell. Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	Evidential fully convolutional network for semantic segmentation. CoRR Zheng Tong, Philippe Xu, Thierry Denoeux
2021	—	`conf`	Fusion of Evidential CNN Classifiers for Image Classification. BELIEF Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	Fusion of evidential CNN classifiers for image classification. CoRR Zheng Tong, Philippe Xu, Thierry Denoeux
2020	J	`jnl`	Pavement defect detection with fully convolutional network and an uncertainty framework. Comput. Aided Civ. Infrastructure Eng. Zheng Tong, Dongdong Yuan, Jie Gao, Zhenjun Wang
2019	—	`conf`	ConvNet and Dempster-Shafer Theory for Object Recognition. SUM Zheng Tong, Philippe Xu, Thierry Denoeux
2018	J	`jnl`	Convolutional Neural Network for Asphalt Pavement Surface Texture Analysis. Comput. Aided Civ. Infrastructure Eng. Zheng Tong, Jie Gao, Aimin Sha, Liqun Hu, Shuai Li
2018	J	`jnl`	Framework for practical and receipt-free remote voting. IET Inf. Secur. Zhe Xia, Zheng Tong, Min Xiao, Chin-Chen Chang
2017	J	`jnl`	Slow Feature Analysis for Mitotic Event Recognition. KSII Trans. Internet Inf. Syst. Jinghui Chu, Hailan Liang, Zheng Tong, Wei Lu
2016	J	`jnl`	Dynamic Hand Gesture Recognition With Leap Motion Controller. IEEE Signal Process. Lett. Wei Lu, Zheng Tong, Jinghui Chu

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.