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FEW: 作品数：506被引量：540H指数：10; 导出分析报告; 相关领域：医药卫生更多>>; 相关作者：孙善长刘天键蒋汉祥张廷波赵秀华更多>>; 相关机构：兰州理工大学中国科学技术大学西安电子科技大学四川师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金天津市自然科学基金更多>>

Gate-controlled multistate modulation in few-layer graphene via layer-by-layer ion intercalation: 《Science China(Physics,Mechanics & Astronomy)》2025年第4期1-8,共8页Siyi Zhou Shaorui Li Yongchao Wang Chenglin Yu Yayu Wang Jinsong Zhang; supported by the National Natural Science Foundation of China(Grant Nos.12274252,and 12350404);the Basic Science Center Project of NSFC(Grant No.52388201);the Innovation Program for Quantum Science and Technology(Grant No.2021ZD0302502)。; The simultaneous modulation of electric and optical properties in graphene is essential for advancing high-performance applications in optoelectronics.However,achieving in-situ control of multiple electric and optical...; 关键词：GRAPHENE gate control ion intercalation multistate modulation

CAMSNet:Few-Shot Semantic Segmentation via Class Activation Map and Self-Cross Attention Block: 《Computers, Materials & Continua》2025年第3期5363-5386,共24页Jingjing Yan Xuyang Zhuang Xuezhuan Zhao Xiaoyan Shao Jiaqi Han; supported by funding from the following sources:National Natural Science Foundation of China(U1904119);Research Programs of Henan Science and Technology Department(232102210033,232102210054);Chongqing Natural Science Foundation(CSTB2023NSCQ-MSX0070);Henan Province Key Research and Development Project(231111212000);Aviation Science Foundation(20230001055002);supported by Henan Center for Outstanding Overseas Scientists(GZS2022011).; The key to the success of few-shot semantic segmentation(FSS)depends on the efficient use of limited annotated support set to accurately segment novel classes in the query set.Due to the few samples in the support set...; 关键词：Few-shot semantic segmentation semantic segmentation meta learning

Federated Learning and Optimization for Few-Shot Image Classification: 《Computers, Materials & Continua》2025年第3期4649-4667,共19页Yi Zuo Zhenping Chen Jing Feng Yunhao Fan; supported by Suzhou Science and Technology Plan(Basic Research)Project under Grant SJC2023002;Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant KYCX23_3322.; Image classification is crucial for various applications,including digital construction,smart manu-facturing,and medical imaging.Focusing on the inadequate model generalization and data privacy concerns in few-shot im...; 关键词：Federated learning contrastive learning few-shot differential privacy data augmentation

A Comprehensive Survey of Few-shot Information Networks: 《Machine Intelligence Research》2025年第1期60-78,共19页Xinxin Zheng Feihu Che Jianhua Tao; Information networks store rich information in the nodes and edges,which benefit many downstream tasks,such as recommender systems and knowledge graph completion.Information networks contain homogeneous information,he...; 关键词：Few-shot learning META-LEARNING homogeneous information networks heterogeneous information networks knowledge graphs

Machine learning strategies for small sample size in materials science: 《Science China Materials》2025年第2期387-405,共19页Qiuling Tao JinXin Yu Xiangyu Mu Xue Jia Rongpei Shi Zhifu Yao Cuiping Wang Haijun Zhang Xingjun Liu; supported by the National Natural Science Foundation of China (52371007 and 52301042);the National Key R&D Program of China (2020YFB0704503);the Guangdong Basic and Applied Basic Research Foundation (2021B1515120071);the Key-Area Research and Development Program of Guangdong Province (2023B0909050001)。; Machine learning (ML) has been widely used todesign and develop new materials owing to its low computational cost and powerful predictive capabilities. In recentyears, the shortcomings of ML in materials science have ...; 关键词：material design machine learning small sample size few-shot learning material domain knowledge

Dual-Task Contrastive Meta-Learning for Few-Shot Cross-Domain Emotion Recognition: 《Computers, Materials & Continua》2025年第2期2331-2352,共22页Yujiao Tang Yadong Wu Yuanmei He Jilin Liu Weihan Zhang; supported by the ScientificResearch and Innovation Team Program of Sichuan University of Science and Technology(No.SUSE652A006);Sichuan Key Provincial Research Base of Intelligent Tourism(ZHYJ22-03);In addition,it is also listed as a project of Sichuan Provincial Science and Technology Programme(2022YFG0028).; Emotion recognition plays a crucial role in various fields and is a key task in natural language processing (NLP). The objective is to identify and interpret emotional expressions in text. However, traditional emotion...; 关键词：Contrastive learning emotion recognition cross-domain learning DUAL-TASK META-LEARNING

Relativistic hyperpolarizabilities of atomic H,Li,and Be^(+)systems: 《Chinese Physics B》2025年第2期230-239,共10页Shan-Shan Lu Hong-Yuan Zheng Zong-Chao Yan James F.Babb Li-Yan Tang; supported by the National Natural Science Foundation of China(Grant Nos.12174402 and 12393821);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant Nos.XDB0920100 and XDB0920101);the Nature Science Foundation of Hubei Province(Grant Nos.2019CFA058 and 2022CFA013);supported by the Natural Sciences and Engineering Research Council of Canada(NSERC);supported in part by NSF grant PHY-2116679.All the calculations are finished on the APM-Theoretical Computing Cluster(APMTCC)。; For atoms in external electric fields,the hyperpolarizabilities are the coefficients describing the nonlinear interactions contributing to the induced energies at the fourth power of the applied electric fields.Accura...; 关键词：HYPERPOLARIZABILITIES Stark effect fourth-order perturbation few-electron atoms

Towards few-shot mixed-type dialogue generation: 《Science China(Information Sciences)》2025年第2期116-129,共14页Zeming LIU Haifeng WANG Zeyang LEI Zheng-Yu NIU Hua WU Wanxiang CHE; supported by National Key R&D Program of China(Grant No.2023YFF0725600);National Natural Science Foundation of China(Grant Nos.62236004,62206078,62441603)。; Building an agent capable of conducting both open-domain and task-oriented dialogues,known as mixed-type dialogues,has been an enduring challenge for the AI community.Previous approaches have focused on constructing l...; 关键词：mixed-type dialogue dialogue generation PLATO-prompt Mixed-FS few-shot

Infrared aircraft few-shot classification method based on cross-correlation network: 《红外与毫米波学报》2025年第1期103-111,共9页HUANG Zhen ZHANG Yong GONG Jin-Fu; Supported by the National Pre-research Program during the 14th Five-Year Plan(514010405)。; In response to the scarcity of infrared aircraft samples and the tendency of traditional deep learning to overfit,a few-shot infrared aircraft classification method based on cross-correlation networks is proposed.This...; 关键词：infrared imaging aircraft classification few-shot learning parameter-free attention cross attention

Component recognition of ISAR targets via multimodal feature fusion: 《Chinese Journal of Aeronautics》2025年第2期256-273,共18页Chenxuan LI Weigang ZHU Wei QU Fanyin MA Rundong WANG; Inverse Synthetic Aperture Radar(ISAR)images of complex targets have a low Signal-to-Noise Ratio(SNR)and contain fuzzy edges and large differences in scattering intensity,which limits the recognition performance of IS...; 关键词：Few-shot Semantic segmentation Inverse Synthetic Aperture Radar(ISAR) SCATTERING Multimodal fusion

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