Rui Zheng

Strain-triggered high-temperature superconducting transition in two-dimensional carbon allotrope

Tian Yan, Rui Zheng, Jin-Hua Sun, Fengjie Ma et autres

Driving non-superconducting materials into a superconducting state through specific modulation is a key focus in the field of superconductivity. Pressure is a powerful method that can switch a three-dimensional (3D) material between non-superconducting and superconducting states. In the two-dimensional (2D) case, strain …

Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction

A Team, Yuxuan Cai, Lu Chen, Qiaoling Chen et autres

The evolution of Large Language Models (LLMs) from passive responders to autonomous agents necessitates a fundamental shift in learning paradigms -- from static imitation to incentive-driven decision making. However, this transition is significantly impeded by the lack of scalable infrastructure capable of …

An Approach to Inpainting Damaged Dunhuang Murals Based on Classifier-Guided Improved Diffusion Model

Yutong Zheng, Haoying Sun, Rui Zheng

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AV-Agent: A Bottom-Up Interpretable Malware Classifier Based on Large Language Models

Rui Zheng, Zhibo Wang, Kui Ren, Chun Chen

Malware remains a major cybersecurity threat, driving increased adoption of machine learning (ML)-based analysis methods. However, these ML solutions face challenges in producing explainable and human-readable results, limiting their practical deployment. Large language models (LLMs) offer a promising alternative for transparent ML …

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The cascade integration model based on machine learning to predict gestational diabetes

Jinlong Ma, Xiaoyue Shi, Liwei Xu, Shengpu Wang et autres

Abstract Machine learning has significant advantages in the research environment of disease prediction due to its data analysis and exploration capabilities. In recent years, despite progress in identifying risk factors for gestational diabetes mellitus (GDM), however no predictive models have been developed …

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Research on College English Intelligent Test System Based on Computer Artificial Intelligence Technology

Rui Zheng

An English parsing test system is developed. The system consists of five main basic functional modules: syntactic content publishing, syntactic content management, data analysis, audio and video management, and system management. This paper analyzes the overall design, architecture design and the design …

ABLs and TMKs are co-receptors for extracellular auxin

Yongqiang Yu, Wenxin Tang, Wenwei Lin, Wei Li et autres

Extracellular perception of auxin, an essential phytohormone in plants, has been debated for decades. Auxin-binding protein 1 (ABP1) physically interacts with quintessential transmembrane kinases (TMKs) and was proposed to act as an extracellular auxin receptor, but its role was disputed because abp1 …

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ABLs and TMKs are co-receptors for extracellular auxin

Yongqiang Yu, Wenxin Tang, Wenwei Lin, Wei Li et autres

SUMMARY Extracellular perception of auxin, an essential phytohormone in plants, has been debated for decades. Auxin binding protein 1 (ABP1) physically interacts with quintessential transmembrane kinases (TMKs) and was proposed to act as an extracellular auxin receptor, but its role was disputed …

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Cryptocurrency malware detection in real-world environment: Based on multi-results stacking learning

Rui Zheng, Qiuyun Wang, Zhuopang Lin, Zhengwei Jiang et autres

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Cryptocurrency Mining Malware Detection Based on Behavior Pattern and Graph Neural Network

Rui Zheng, Qiuyun Wang, Jia He, Jianming Fu et autres

Miner malware has been steadily increasing in recent years as the value of cryptocurrency rises, which poses a considerable threat to users’ device security. Miner malware has obvious behavior patterns in order to participate in blockchain computing. However, most miner malware detection …

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Assessing the Security of Campus Networks: The Case of Seven Universities

Rui Zheng, Hao Ma, Qiuyun Wang, Jianming Fu et autres

The network security situation of campus networks on CERNET (China Education and Research Network) has received great concern. However, most network managers have no complete picture of the network security because of its special management and the rapid growth of network assets. …

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Family Identification of AGE-Generated Android Malware Using Tree-Based Feature

Guga Suri, Jianming Fu, Rui Zheng, Xinying Liu

Application Generation Engine(AGE) is a development tool that can automatically generate simple Android applications by utilizing some boilerplate codes. People with little software programming background could also develop Android applications by using this tool based on their requirements. The emergence of AGE …

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