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检索条件"机构=Provincial Key Laboratory for Computer Information Processing Technology"
5963 条 记 录,以下是141-150 订阅
排序:
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding
CroPrompt: Cross-task Interactive Prompting for Zero-shot Sp...
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2025 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2025
作者: Qin, Libo Wei, Fuxuan Chen, Qiguang Zhou, Jingxuan Huang, Shijue Si, Jiasheng Lu, Wenpeng Che, Wanxiang School of Computer Science and Engineering Central South University China Key Laboratory of Data Intelligence and Advanced Computing in Provincial Universities Soochow University China Research Center for Social Computing and Information Retrieval Harbin Institute of Technology China Harbin Institute of Technology Shenzhen China Key Laboratory of Computing Power Network and Information Security Ministry of Education Qilu University of Technology Shandong Academy of Sciences China
Slot filling and intent detection are two highly correlated tasks in spoken language understanding (SLU). Recent SLU research attempts to explore zero-shot prompting techniques in large language models to alleviate th...
来源: 评论
Big-Moe: Bypassing Isolated Gating For Generalized Multimodal Face Anti-Spoofing
Big-Moe: Bypassing Isolated Gating For Generalized Multimoda...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Yingjie Ma Zitong Yu Xun Lin Weicheng Xie Linlin Shen College of Computer Science and Software Engineering Shenzhen University Great Bay University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing
In the domain of facial recognition security, multimodal Face Anti-Spoofing (FAS) is essential for countering presentation attacks. However, existing technologies encounter challenges due to modality biases and imbala... 详细信息
来源: 评论
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
arXiv
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arXiv 2025年
作者: Pan, Linchao Gao, Can Zhou, Jie Wang, Jinbao College of Computer Science and Software Engineering Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China
Learning with Noisy Labels (LNL) aims to improve the model generalization when facing data with noisy labels, and existing methods generally assume that noisy labels come from known classes, called closed-set noise. H... 详细信息
来源: 评论
Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
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IEEE Transactions on Cognitive Communications and Networking 2025年
作者: Tian, Zhuojun Zhang, Zhaoyang Li, Yiwei Bennis, Mehdi Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China University of Oulu Center for Wireless Communications Oulu90014 Finland State Key Laboratory of Industrial Control Technology Hangzhou310027 China Zhejiang Provincial Key Laboratory of Multimodal Communication Networks and Intelligent Information Processing Hangzhou310027 China Xiamen University of Technology Fujian Key Laboratory of Communication Network and Information Processing Xiamen361024 China
To jointly tackle the challenges of data and node heterogeneity in decentralized learning, we propose a distributed strong lottery ticket hypothesis (DSLTH), based on which a communication-efficient personalized learn... 详细信息
来源: 评论
LSU-NET: LIGHTWEIGHT AUTOMATIC ORGANS SEGMENTATION NETWORK FOR MEDICAL IMAGES
arXiv
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arXiv 2025年
作者: Ding, Yujie Teng, Shenghua Li, Zuoyong Chen, Xiao College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao266590 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control School of Computer and Big Data Minjiang University Fuzhou350121 China
UNet and its variants have widespread applications in medical image segmentation. However, the substantial number of parameters and computational complexity of these models make them less suitable for use in clinical ... 详细信息
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Segmentation of CAD models using hybrid representation
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虚拟现实与智能硬件(中英文) 2025年 第2期7卷 188-202页
作者: Claude UWIMANA Shengdi ZHOU Limei YANG Zhuqing LI Norbelt MUTAGISHA Edouard NIYONGABO Bin ZHOU State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Peace-Bay Academy of Virtual Reality Shenyang 110004China China Aerospace Systems Engineering Corporation Beijing 100070China Department of Signal and Information Processing Beihang UniversityBeijing 100191China Department of Computer Science University of SherbrookeSherbrooke J1C0A1Canada
In this paper,we introduce an innovative method for computer-aided design(CAD)segmentation by concatenating meshes and CAD *** previous CAD segmentation methods have achieved impressive performance using single repres... 详细信息
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Adaptive symbiotic graph convolutional network
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Neurocomputing 2025年 637卷
作者: Zhou, Lin Xiao, Yuzhi Ye, Zhonglin Zhao, Haixing Liu, Zhen School of Computer Qinghai Normal University Qing Hai Xining810008 China The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qing Hai Xining810008 China Key Laboratory of Tibetan Information Processing Ministry of Education Qing Hai Xining810008 China Qinghai Provincial Key Laboratory of Tibetan Information Processing and Machine Translation Qing Hai Xining810008 China of Engineering Nagasaki Institute of Applied Science Kyushu Nagasaki851-0193 Japan
Within the intrinsic fabric of graph and network data, the latent reciprocity between network nodes forms a profound symbiotic relationship. Traditional graph neural networks struggle to adaptively parse and integrate... 详细信息
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Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation
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ACM Transactions on Multimedia Computing, Communications and Applications 2025年 第4期21卷
作者: Wang, Jiahui Xu, Qin Jiang, Bo Luo, Bin The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China The Information Materials and Intelligent Sensing Laboratory of Anhui Province School of Computer Science and Technology Anhui University The Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China
The transductive Few-shot Learning (FSL) mostly employs either prototype learning or label propagation methods to generalize to new classes by using the information of all query samples. However, existing methods have... 详细信息
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Port-controllable routing of orbital angular momentum modes using a rotatable diffractive neural network
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Science China(Physics,Mechanics & Astronomy) 2025年 第06期Mechanics & Astronomy) .卷 158-167页
作者: Junmin Liu Jiafu Chen Qingji Zeng Zemin Liang Xinping Wu Xin Zhao Jiangnan Xiao Huapeng Ye Ze Dong Dianyuan Fan Shuqing Chen Institute of Microscale Optoelectronics Shenzhen University College of New Materials and New Energies Shenzhen Technology University Terahertz Technology Innovation Research Institute Shanghai Key Laboratory of Modern Optical System Terahertz Science Cooperative Innovation Center School of Optical-Electrical Computer Engineering University of Shanghai for Science and Technology Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays South China Academy of Advanced Optoelectronics South China Normal University School of Information and Electronics Beijing Institute of Technology
Orbital angular momentum(OAM) modes provide an additional orthogonal physical dimension, offering transformative potential for enhancing optical communication capacity. Despite significant progress in mode multiplexin...
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Cache Periscope: Gain insights into the global epidemic of malicious domains through DNS Cache
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computer Networks 2025年 265卷
作者: Wang, Yabo Sun, Jiakun Xiao, Ruizhi Li, Weilong Jin, Shuyuan School of Computer Science and Engineering Sun Yat-sen University Guangzhou510000 China Guangdong Provincial Key Laboratory of Information Security Technology Guangzhou510000 China MoE Key Laboratory of Information Technology Sun Yat-sen University Guangzhou510000 China
Domain names are often abused for various harmful and illegal activities. To mitigate these threats, security practitioners have proposed detecting malicious domains based on features such as domain name resolution da... 详细信息
来源: 评论