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检索条件"机构=National Engineering Laboratory for Big Data System Computing Technology"
860 条 记 录,以下是461-470 订阅
排序:
Rediscovering BCE Loss for Uniform Classification
arXiv
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arXiv 2024年
作者: Li, Qiufu Jia, Xi Zhou, Jiancan Shen, Linlin Duan, Jinming National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Computer Vision Institute Shenzhen University SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society China School of Computer Science University of Birmingham United Kingdom Aqara Lumi United Technology Co. Ltd China
This paper introduces the concept of uniform classification, which employs a unified threshold to classify all samples rather than adaptive threshold classifying each individual sample. We also propose the uniform cla... 详细信息
来源: 评论
Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile Architectures  22
Realizing Emotional Interactions to Learn User Experience an...
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Proceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture
作者: Xueliang Li Zhuobin Shi Junyang Chen Yepang Liu National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China College of Computer Science and Software Engineering Shenzhen University China Research Institute of Trustworthy Autonomous Systems Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation and Department of Computer Science and Engineering Southern University of Science and Technology China
In the age of AI, mobile architectures such as smartphones are still "cold machines"; machines do not feel. If the architecture is able to feel users' feelings and runtime user experience (UX), it will a...
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Reconciling Selective Logging and Hardware Persistent Memory Transaction
Reconciling Selective Logging and Hardware Persistent Memory...
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IEEE Symposium on High-Performance Computer Architecture
作者: Chencheng Ye Yuanchao Xu Xipeng Shen Yan Sha Xiaofei Liao Hai Jin Yan Solihin National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China North Carolina State University Raleigh North Carolina USA University of Central Florida Florida USA
Log creation, maintenance, and its persist ordering are known to be performance bottlenecks for durable transactions on persistent memory. Existing hardware persistent memory transactions overlook an important opportu... 详细信息
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UniFace: Unified Cross-Entropy Loss for Deep Face Recognition
UniFace: Unified Cross-Entropy Loss for Deep Face Recognitio...
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International Conference on Computer Vision (ICCV)
作者: Jiancan Zhou Xi Jia Qiufu Li Linlin Shen Jinming Duan National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Computer Vision Institute Shenzhen University Aqara Lumi United Technology Co. Ltd. School of Computer Science University of Birmingham UK Alan Turing Institute UK
As a widely used loss function in deep face recognition, the softmax loss cannot guarantee that the minimum positive sample-to-class similarity is larger than the maximum negative sample-to-class similarity. As a resu...
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Service Decomposition method for multimodal data exchange scenarios  3
Service Decomposition method for multimodal data exchange sc...
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3rd International Conference on Computer Science and Management technology, ICCSMT 2022
作者: Jiang, Deyou Huang, Lei Tian, Hanyu Xie, Yujie Li, Xiaoming Beijing Jiaotong University School of Economics and Management Beijing China Beijing Jingwei Information Technologies Limited Company National Engineering Laboratory of Comprehensive Transportation Big Data Application Technology Beijing China Institute of Computing Technologies China Academy of Railway Sciences Beijing China
Influenced by the complexity of multimodal data exchange scenarios and their differences in data flow graph construction, the objective basis of existing service decomposition methods is not sufficient, and the granul... 详细信息
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Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
arXiv
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arXiv 2024年
作者: Bi, Zhangqian Wan, Yao Wang, Zheng Zhang, Hongyu Guan, Batu Lu, Fangxin Zhang, Zili Sui, Yulei Jin, Hai Shi, Xuanhua Huazhong University of Science and Technology China University of Leeds United Kingdom Chongqing University China Shanghai Jiao Tong University China University of New South Wales Australia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China
Large Language Models (LLMs) have shown remarkable progress in automated code generation. Yet, LLM-generated code may contain errors in API usage, class, data structure, or missing project-specific information. As muc... 详细信息
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STSE-xLSTM: A Deep Learning Framework for Automated Seizure Detection in Long Video Sequences Using Spatio-Temporal and Attention Mechanisms  10
STSE-xLSTM: A Deep Learning Framework for Automated Seizure ...
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10th International Conference on Computer and Communications, ICCC 2024
作者: Ding, Lihui Wang, Hongliang Fu, Lijun Shenyang Institute of Computing Technology University of Chinese Academy of Sciences Shenyang China Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin Shenyang China Shandong University Laboratory of Big Data and Artificial Intelligence Technology Beijing China
A detailed analysis of seizure semiology, the symptoms and signs that occur during a seizure, is crucial for the management of epilepsy patients. The inter-rater reliability of qualitative visual analysis is often low... 详细信息
来源: 评论
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
arXiv
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arXiv 2024年
作者: Chen, Geng Wang, Qingyue Rekik, Islem National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer Science and Engineering Northwestern Polytechnical University China BASIRA Lab Imperial-X Department of Computing Imperial College London United Kingdom
A connectional brain template (CBT) is a holistic representation of a population of multi-view brain connectivity graphs, encoding shared patterns and normalizing typical variations across individuals. The federation ... 详细信息
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STSE-xLSTM: A Deep Learning Framework for Automated Seizure Detection in Long Video Sequences Using Spatio-Temporal and Attention Mechanisms
STSE-xLSTM: A Deep Learning Framework for Automated Seizure ...
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International Conference on Computer and Communications (ICCC)
作者: Lihui Ding Hongliang Wang Lijun Fu Shenyang Institute of Computing Technology University of Chinese Academy of Sciences Shenyang China Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin Shenyang China Laboratory of Big Data and Artificial Intelligence Technology Shandong University Beijing China
A detailed analysis of seizure semiology, the symptoms and signs that occur during a seizure, is crucial for the management of epilepsy patients. The inter-rater reliability of qualitative visual analysis is often low... 详细信息
来源: 评论
A nearly optimal distributed algorithm for computing the weighted girth
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Science China(Information Sciences) 2021年 第11期64卷 80-94页
作者: Qiang-Sheng HUA Lixiang QIAN Dongxiao YU Xuanhua SHI Hai JIN National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and TechnologyHuazhong University of Science and Technology School of Computer Science and Technology Shandong University
computing the weighted girth, which is the sum of weights of edges in the minimum weight cycle,is an important problem in network analysis. The problem for distributively computing girth in unweighted graphs has garne... 详细信息
来源: 评论