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检索条件"机构=Research Computing and Data"
3269 条 记 录,以下是1-10 订阅
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Human-in-the-Loop Automatic data Migration for a Large research computing data Center
Human-in-the-Loop Automatic Data Migration for a Large Resea...
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International Conference on Computational Science and Computational Intelligence (CSCI)
作者: Fang Cherry Liu Michael D. Weiner Kevin Manalo Aaron Jezghani Christopher J. Blanton Christopher Stone Kenneth Suda Nuyun Zhang Dan Zhou Mehmet Belgin Semir Sarajlic Ruben Lara Partnership for an Advanced Computing Environment (PACE) Georgia Institute of Technology Atlanta U.S.A Research Computing and Data Facilitation Service North Carolina State University Raleigh U.S.A Microsoft "Present Affiliation" Atlanta U.S.A
Most HPC centers face a lack of expertise of data center migrations, as it’s a rare event that only a small portion of HPC professionals experience more than once in their entire professional careers. This paper pres... 详细信息
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RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting
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Science China(Information Sciences) 2025年 第2期68卷 103-119页
作者: Wenyu CAI Mengfan LI Xuanhua SHI Yuanxin FAN Quntao ZHU Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and Technology
Temporal knowledge graph(TKG) reasoning, has seen widespread use for modeling real-world events, particularly in extrapolation settings. Nevertheless, most previous studies are embedded models, which require both enti... 详细信息
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Situational Scene Graph for Structured Human-Centric Situation Understanding
Situational Scene Graph for Structured Human-Centric Situati...
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2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025
作者: Sugandhika, Chinthani Li, Chen Rajan, Deepu Fernando, Basura College of Computing and Data Science Nanyang Technological University Singapore Centre for Frontier Ai Research Agency for Science Technology and Research Singapore Institute of High-Performance Computing Agency for Science Technology and Research Singapore
Graph based representation has been widely used in modelling spatio-temporal relationships in video understanding. Although effective, existing graph-based approaches focus on capturing the human-object relationships ... 详细信息
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A numerical magnitude aware multi-channel hierarchical encoding network for math word problem solving
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Neural computing and Applications 2025年 第3期37卷 1651-1672页
作者: Xu, Junjie Chen, Yuzhong Xiao, Lingsheng Liao, Hongmiao Zhong, Jiayuan Dong, Chen College of Computer and Data Science Fuzhou University Fujian Province Fuzhou350108 China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fujian Province Fuzhou350108 China
Math word problem (MWP) represents a critical research area within reading comprehension, where accurate comprehension of math problem text is crucial for generating math expressions. However, current approaches still... 详细信息
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A Method for Constructing research data Provenance in High-Performance computing Systems
A Method for Constructing Research Data Provenance in High-P...
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IEEE International Conference on e-Science and Grid computing
作者: Yuta Namiki Takeo Hosomi Hideyuki Tanushi Akihiro Yamashita Susumu Date Joint Research Laboratory for Integrated Infrastructure of High Performance Computing and Data Analysis Cybermedia Center Osaka University Osaka Japan NEC Corporation Tokyo Japan
research must be reproducible to be verifiable. Provenance, which describes how data was produced, is one of the metadata that can improve reproducibility. In this paper, we propose a method to construct the provenanc...
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Soft-GNN:towards robust graph neural networks via self-adaptive data utilization
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Frontiers of Computer Science 2025年 第4期19卷 1-12页
作者: Yao WU Hong HUANG Yu SONG Hai JIN National Engineering Research Center for Big Data Technology and System Service Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China College of Information and Communication National University of Defense TechnologyWuhan 430019China Department of Computer Science and Operations Research Universitéde MontréalMontreal H3C 3J7Canada
Graph neural networks(GNNs)have gained traction and have been applied to various graph-based data analysis tasks due to their high ***,a major concern is their robustness,particularly when faced with graph data that h... 详细信息
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AegonKV: A High Bandwidth, Low Tail Latency, and Low Storage Cost KV-Separated LSM Store with SmartSSD-based GC Offloading  23
AegonKV: A High Bandwidth, Low Tail Latency, and Low Storage...
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23rd USENIX Conference on File and Storage Technologies, FAST 2025
作者: Duan, Zhuohui Feng, Hao Liu, Haikun Liao, Xiaofei Jin, Hai Li, Bangyu National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China
The key-value separation is renowned for its significant mitigation of the write amplification inherent in traditional LSM trees. However, KV separation potentially increases performance overhead in the management of ... 详细信息
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Correction to: Consistent Prompt Tuning for Generalized Category Discovery (International Journal of Computer Vision, (2025), 10.1007/s11263-024-02343-w)
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International Journal of Computer Vision 2025年 1-10页
作者: Yang, Muli Yin, Jie Gu, Yanan Deng, Cheng Zhang, Hanwang Zhu, Hongyuan Singapore Singapore School of Electronic Engineering Xidian University Xi’an China Norinco Group Testing and Research Institute Xi’an China College of Computing and Data Science Nanyang Technological University Singapore Singapore
The original publication of this article was published with several errors and has been corrected as follows. In the Section 4.3.1, the hyperlink for the Section 5 citation was missing and has been included. In Table ...
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MS-SAM: Multi-scale SAM Based on Dynamic Weighted Agent Attention  31st
MS-SAM: Multi-scale SAM Based on Dynamic Weighted Agent Att...
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31st International Conference on Multimedia Modeling, MMM 2025
作者: Yang, Enhui Zhang, Zhibin Engineering Research Center of Ecological Big Data Ministry of Education Key Laboratory of Wireless Networks and Mobile Computing Inner Mongolia University Hohhot010021 China
The Segment Anything Model (SAM), introduced in 2023, has made significant advancements in the field of computer vision. However, SAM faces two major challenges: limitations related to single-scale processing and high... 详细信息
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Robotic Cognitive Behavioural Therapy: rCBT  16th
Robotic Cognitive Behavioural Therapy: rCBT
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16th International Conference on Social Robotics, ICSR + BioMed 2024
作者: Samani, Hooman Zaraki, Abolfazl Davies, Daisy-Rose Fernando, Owen Noel Newton Creative Computing Institute University of the Arts London London United Kingdom and Robotics Research Group University of Hertfordshire Hatfield United Kingdom School of Engineering Computing and Mathematics University of Plymouth Plymouth United Kingdom College of Computing and Data Science Nanyang Technological University Singapore Singapore
This paper introduces Robotic Cognitive Behavioural Therapy (rCBT) as a novel approach to overcoming the limitations of traditional Cognitive Behavioural Therapy (CBT) in treating emotional and psychological issues. A... 详细信息
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