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检索条件"机构=State Key Laboratory for Novel Software Technology Department of Computer Science and Technology"
5387 条 记 录,以下是61-70 订阅
排序:
LaplaceConfidence: A graph-based approach for learning with noisy labels
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Intelligent Data Analysis 2025年 第1期29卷 45-58页
作者: Chen, Mingcai Du, Yuntao Tang, Wei Zhang, Baoming Wang, Chongjun State Key Laboratory for Novel Software Technology at Nanjing University Nanjing University Jiangsu Nanjing China Department of Neurology University Medical Center Groningen University of Groningen Groningen Netherlands
Real-world machine learning applications seldom provide perfect labeled data, posing a challenge in developing models robust to noisy labels. Recent methods prioritize noise filtering based on the discrepancies betwee... 详细信息
来源: 评论
La-substituted W-type barium-nickel ferrites for tunable and high-performance electromagnetic wave absorption
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International Journal of Minerals,Metallurgy and Materials 2025年 第3期32卷 645-656页
作者: Long Wang Jiurong Liu Shenghui Xie Yanli Deng Zhou Wang Shanyue Hou Shengying Yue Gang Wang Na Wu Zhihui Zeng Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials(Ministry of Education) School of Materials Science and EngineeringShandong UniversityJinan 250061China Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education and International Center for Dielectric ResearchSchool of Electronic Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China Army Engineering University of PLA College of Field Engineering Nanjing 210007China Laboratory for Multiscale Mechanics and Medical Science State Key Laboratory for Strength and Vibration of Mechanical StructuresSchool of AerospaceXi’an Jiaotong UniversityXi’an 710049China Department of Electrical and Computer Engineering Beckman Institute for Advanced Science and TechnologyUniversity of Illinois at Urbana-ChampaignUrbana 61801USA School of Chemistry and Chemical Engineering Shandong UniversityJinan 250100China
W-type barium-nickel ferrite(BaNi_(2)Fe_(16)O_(27))is a highly promising material for electromagnetic wave(EMW)absorption be-cause of its magnetic loss capability for EMW,low cost,large-scale production potential,high... 详细信息
来源: 评论
MoMa: A Modular Deep Learning Framework for Material Property Prediction
arXiv
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arXiv 2025年
作者: Wang, Botian Ouyang, Yawen Li, Yaohui Wang, Yiqun Cui, Haorui Zhang, Jianbing Wang, Xiaonan Ma, Wei-Ying Zhou, Hao Tsinghua University China Department of Computer Science and Technology Tsinghua University China School of Artificial Intelligence National Key Laboratory for Novel Software Technology Nanjing University China Department of Chemical Engineering Tsinghua University China
Deep learning methods for material property prediction have been widely explored to advance materials discovery. However, the prevailing pre-train then fine-tune paradigm often fails to address the inherent diversity ... 详细信息
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Static code analyzer recommendation via preference mining
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Expert Systems with Applications 2025年 285卷
作者: Ge, Xiuting Fang, Chunrong Li, Xuanye Shang, Ye Zhang, Mengyao Pan, Ya China Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software Ministry of Education China The State Key Laboratory for Novel Software Technology Nanjing University China Department of Computer Science and Technology Southwest University of Science and Technology China
Static Code Analyzers (SCAs) have played a critical role in software quality assurance. However, SCAs with various static analysis techniques suffer from different levels of false positives and false negatives, thereb... 详细信息
来源: 评论
LT-OAQ: Learnable Threshold Based Outlier-Aware Quantization and its Energy-Efficient Accelerator for Low-Precision On-Chip Training
LT-OAQ: Learnable Threshold Based Outlier-Aware Quantization...
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Design, Automation and Test in Europe Conference and Exhibition
作者: Qinkai Xu Yijin Liu Yuan Meng Yang Chen Yunlong Mao Li Li Yuxiang Fu School of Electronic Science and Engineering Nanjing University School of Integrated Circuits Nanjing University State Key Laboratory for Novel Software Technology Nanjing University
Low-precision training has emerged as a powerful technique for reducing computational and storage costs in Deep Neural Network (DNN) model training, enabling on-chip training or fine-tuning on edge devices. However, e... 详细信息
来源: 评论
Enhanced VR Experience with Edge Computing: The Impact of Decoding Latency
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IEEE Transactions on Mobile Computing 2025年
作者: Huang, Liang Li, Yuqi Liang, Hongyuan Chi, Kaikai Wu, Yuan Zhejiang University of Technology School of Computer Science and Technology China University of Macau State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science Macau China
Virtual reality (VR) applications have revolutionized digital interaction by providing immersive experiences.360° VR video streaming has experienced significant growth and popularity as a pivotal VR application. ... 详细信息
来源: 评论
FM-FCN:A Neural Network with Filtering Modules for Accurate Vital Signs Extraction
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Research 2025年 第1期2024卷 92-106页
作者: Fangfang Zhu Qichao Niu Xiang Li Qi Zhao Honghong Su Jianwei Shuai Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials ResearchXiamen UniversityXiamen 361005China National Institute for Data Science in Health and Medicine and State Key Laboratory of Cellular Stress BiologyInnovation Center for Cell Signaling NetworkXiamen UniversityXiamen 361005China Vitalsilicon Technology Co.Ltd. JiaxingZhejiang 314006China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan 114051China Yangtze Delta Region Institute of Tsinghua University ZhejiangJiaxing 314006China Wenzhou Institute University of Chinese Academy of SciencesWenzhou 325001China Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Wenzhou 325001China
Neural networks excel at capturing local spatial patterns through convolutional modules,but they may struggle to identify and effectively utilize the morphological and amplitude periodic nature of physiological *** th... 详细信息
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DNMDR: Dynamic Networks and Multi-view Drug Representations for Safe Medication Recommendation
arXiv
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arXiv 2025年
作者: Liu, Guanlin Yu, Xiaomei Liu, Zihao Li, Xue Fan, Xingxu Zheng, Xiangwei School of Information Science and Engineering Shandong Normal University Jinan250358 China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan250358 China State Key Laboratory of High-end Server and Storage Technology Jinan250300 China
Medication Recommendation (MR) is a promising research topic which booms diverse applications in the healthcare and clinical domains. However, existing methods mainly rely on sequential modeling and static graphs for ... 详细信息
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GACL-Net:Hybrid Deep Learning Framework for Accurate Motor Imagery Classification in Stroke Rehabilitation
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computers, Materials & Continua 2025年 第4期83卷 517-536页
作者: Chayut Bunterngchit Laith H.Baniata Mohammad H.Baniata Ashraf ALDabbas Mohannad A.Khair Thanaphon Chearanai Sangwoo Kang State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Computing Gachon UniversitySeongnam13120Republic of Korea Computer Science Department Faculty of Information TechnologyThe World Islamic Sciences and Education UniversityAmman11947Jordan Intelligent Systems Department Faculty of Artificial IntelligenceAl-Balqa Applied UniversityAl-Salt19117Jordan IT Infrastructure Department Qatrana Cement CompanyAmman11821Jordan Division of Industrial and Logistics Engineering Technology Faculty of Engineering and TechnologyKing Mongkut’s University of Technology North BangkokRayong CampusRayong21120Thailand
Stroke is a leading cause of death and disability worldwide,significantly impairing motor and cognitive *** rehabilitation is often hindered by the heterogeneity of stroke lesions,variability in recovery patterns,and ... 详细信息
来源: 评论
Complementary Learning System Theory-based Active Learning for Audio Classification
Complementary Learning System Theory-based Active Learning f...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Hui Geng Zijian Gao Tianjiao Wan Dawei Feng Changjian Wang Kele Xu College of Computer Science and Technology National University of Defense Technology Changsha China State Key Laboratory of Complex & Critical Software Environment Changsha China
Deep learning has significantly advanced the audio classification, achieving remarkable results. However, these successes often rely on extensive manual annotation of audio, a labor-intensive and costly process. Activ... 详细信息
来源: 评论