Jianyu Liu

A trustworthy agentic AI framework for auditable label-free machinery fault diagnosis in safety-critical engineering systems

Yuntong Chen, Binhao Liu, Yingqi Li, Ziang Wang et autres

cn (code pays fourni par la source)

Fourier-Taylor progressive knowledge distillation for RGB+IR object detection in complex environments

Cuijin Li, Jianyu Liu

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A Lightweight Tomato Maturity Detection Method Based on EMBS-DETR

Hongwen Yan, Guoqiang Bao, Yuxin Du, Qiyu Wu et autres

In response to the challenges of drastic illumination variations, large differences in fruit scale, and severe occlusion in real-field environments, this paper proposes a lightweight end-to-end detection model, termed EMBS-DETR, for tomato maturity detection. The proposed method is built upon the RT-DETR-R18 …

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Network intrusion detection techniques based on improved multi-scale 1D convolutional neural networks

Jianyu Liu, Wei Sun

Abstract With the increasing number of network security threats, the requirements for network intrusion detection accuracy and real-time performance are getting higher and higher. The study creatively suggests a network intrusion detection method based on an enhanced multi-scale one-dimensional convolutional neural network …

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Adversarial Sample Defense Mechanism for Network Intrusion Detection System Based on Generative Adversarial Network

Jianyu Liu

Design of Mine Locomotive Emergency Power Inverter Control System

Deyu Sun, Jianyu Liu, Zitao Jin, Yonghong Deng et autres

The emergency power supply device of electric locomotives supplies power in non-electrical areas. It is necessary to consider the different voltage and frequency requirements of different types of locomotives for auxiliary power supply. Their photovoltaic modules need to output corresponding frequency and …

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SpikeRF-YOLO for drone radio frequency signal detection

Jianyu Liu, Chao Liu, Zheng Si, Yinhao Zhou

Drone detection based on radio frequency (RF) signals has become a mainstream method. Spiking Neural Networks (SNNs), known for their superior energy efficiency and temporal dynamic processing capabilities, provide an ideal solution for drone RF signal detection. We propose SpikeRF-YOLO, an low-power …

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DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models

Jianyu Liu, Ranjie Duan, Xingyuan Bu, Yancheng He et autres

Multimodal Large Language Models (MLLMs) pose unique safety challenges due to their integration of visual and textual data, thereby introducing new dimensions of potential attacks and complex risk combinations. In this paper, we begin with a detailed analysis aimed at disentangling risks …

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models

Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu et autres

Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Pei Wang, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu. Proceedings of the 2025 Conference of the Nations …

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YOLOv9-SAM: A Novel Image Segmentation Method for Industrial Pointer Meter

Junfeng Li, Jianyu Liu

In industrial settings, meters are widely employed for diverse measurement operations. In practice, pointer-style meters are designated for areas with flammable or explosive hazards that require manpower to read the meters. In order to increase the manual efficiency of labor and avoid …

hk, cn (code pays fourni par la source)

Research on Dynamic Pig Counting Method Based on Improved YOLOv7 Combined with DeepSORT

Xiaobao Shao, Chengcheng Liu, Zhixuan Zhou, Wenjing Xue et autres

A pig inventory is a crucial component of achieving precise and large-scale farming. In complex pigsty environments, due to pigs' stress reactions and frequent obstructions, it is challenging to count them accurately and automatically. This difficulty contrasts with most current deep learning …

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A Personalized Cancer Drug Recommendation System with Machine Learning

Jianyu Liu, He Yu, Junfeng Li

Abstract The patient’s gene sequence provides valuable information for clinical medication. In practice, there are many different types of data on genes but they are not fully utilized. There are different mutation genes in different cases of cancer, in which there are …

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