Zhou Wen

Large Language Model-Assisted Distillation–Fusion Framework for Visual Emotion Recognition

Yujun Ma, Yunjie Zeng, Zhiyuan Chen, Zhiwei Ye et autres

Visual emotion recognition plays a critical role in human–computer interaction and mental health applications. Although existing Vision–Language Models (VLMs) alleviate the limitations of conventional vision models in high-level semantic understanding, they still face three main challenges: limited emotional semantic understanding, insufficient visual …

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MiRNA-disease association prediction via multi-view graph attention fusion network

Xiao Zheng, Shiye Cheng, Zhou Wen, Qiyi He et autres

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TSMS-HRO: A two-stage multi-strategy hybrid rice optimization algorithm for high-dimensional feature selection

Jie Sun, Zhou Wen, Bogdan Adamyk, Jixin Zhang et autres

Abstract High-dimensional feature selection remains a challenging and active topic in machine learning. Swarm intelligence and evolutionary computation have demonstrated promising results for high-dimensional feature selection, such as ant colony optimization algorithm, particle swarm optimization algorithm, and hybrid rice optimization algorithm, etc. …

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Multi-scale spatial fusion lightweight model for optical remote sensing image-based small object detection

Qiyi He, Ao Xu, Zhiwei Ỹe, Shirui Sheng et autres

Current remote sensing object detection frameworks often focus solely on the geometric relationship between true and predicted boxes, neglecting the intrinsic shapes of the boxes. In the field of remote sensing detection, there are numerous elongated bounding boxes. Variations in the shape …

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KMHBO: A knowledge-guided multi-niche hybrid breeding optimization algorithm for high-dimensional multimodal feature selection

Zhiwei Ỹe, Ting Cai, Jun Shen, Zhou Wen et autres

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HBOFFS: Hybrid breeding optimization algorithm inspired federated feature selection for intrusion detection in IIoT

Zhiwei Ỹe, Songsong Zhang, Zhou Wen, Libing Wu et autres

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A dual-enhanced long short-term memory earthquake prediction method based on improved and hybrid rice-inspired gray wolf optimizers

Sun Yi, Ruoxuan Huang, Xinchun Yi, Zhou Wen et autres

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SAM-UpBuild: Efficient Automated Building Footprint Update with Limited Labels

Zhou Wen, Chen Wu

Building footprints are pivotal for comprehending urban growth and facilitating sustainable urban development. Given the rapid pace of urban change, it is imperative to maintain up-to-date building records. However, this process is hindered by the time-consuming and labor-intensive task of obtaining labels …

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An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction

Zhou Wen, Xinchun Yi, Changyi Li, Zhiwei Ỹe et autres

Earthquake magnitude prediction is a vital rendezvous for human safety, economic and property losses. The earthquake occurrence process represents a highly complex nonlinear problem. Meanwhile, artificial intelligence methods have emerged as automated and intelligent frameworks for addressing magnitude prediction challenges. However, these …

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The Effects of Moisture on the Characteristics of Oil Immersed Power Equipment Insulation at Low Temperature

Raheel Ahmed, Mingze Zhang, Ji Liu, Zhou Wen

Operating in a cold environment, the insulation capacities of oil-immersed power equipment provide significant challenges. Transformers are one of the most important components in an electrical power system to keep it reliable and stable, particularly in colder climates. When the temperature decreases …

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A cooperative hybrid breeding swarm intelligence algorithm for feature selection

Mengqing Mei, Songsong Zhang, Zhiwei Ỹe, Mingwei Wang et autres

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Unlocking fast and stable Na storage in Na4Fe3(PO4)2P2O7 cathodes by diffusion kinetics optimization

Zhou Wen, Xu Wang, Xiaochen Ge, Liang He et autres

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