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检索条件"机构=State Key Laboratory of High Performance Computing and College of Computer Science and Technology"
2361 条 记 录,以下是121-130 订阅
排序:
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks  38
Rethinking the Membrane Dynamics and Optimization Objectives...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Shen, Hangchi Zheng, Qian Wang, Huamin Pan, Gang College of Artificial Intelligence Southwest University China Chongqing Key Laboratory of Brain Inspired Computing and Intelligent Chips China The State Key Lab of Brain-Machine Intelligence Zhejiang University China College of Computer Science and Technology Zhejiang University China
Despite spiking neural networks (SNNs) have demonstrated notable energy efficiency across various fields, the limited firing patterns of spiking neurons within fixed time steps restrict the expression of information, ...
来源: 评论
Simultaneously Learning Syntactic Dependency and Semantics Reasonability for Relation Extraction
Simultaneously Learning Syntactic Dependency and Semantics R...
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International Conference on Image, Vision and Intelligent Systems, ICIVIS 2021
作者: Wang, Xin Yin, Nan Zhang, Xiang Bai, Xinyi Luo, Zhigang College of Computer National University of Defense Technology Changsha China Institute for Quantum and State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China
Relation extraction as an important Natural Language Processing (NLP) task is to identify relations between named entities in text. Recently, graph convolutional networks over dependency trees have been widely used to... 详细信息
来源: 评论
Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis
Boosting Meaningful Dependency Mining with Clustering and Co...
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International Conference on Data Engineering
作者: Xi Wang Ruochun Jin Wanrong Huang Yuhua Tang Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China Department of Intelligent Data Science College of Computer Science and Technology National University of Defense Technology Changsha China
Functional dependencies (FDs) form a valuable ingredient for various data management tasks. However, existing methods can hardly discover practical and interpretable FDs, especially in large noisy real-life datasets. ... 详细信息
来源: 评论
Decomposition, Interaction, Reconstruction Meets Global Context Learning In Visual Tracking
Decomposition, Interaction, Reconstruction Meets Global Cont...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Huibin Tan Kun Hu Mingyu Cao Mengzhu Wang Liyang Xu Wenjing Yang Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China
Tensor decomposition and reconstruction attention is a promising global context learning approach because it can remain efficient while avoiding feature compression. To exploit its potential even further in visual tra... 详细信息
来源: 评论
CoChain: high Concurrency Blockchain Sharding via Consensus on Consensus  42
CoChain: High Concurrency Blockchain Sharding via Consensus ...
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42nd IEEE International Conference on computer Communications, INFOCOM 2023
作者: Li, Mingzhe Lin, You Zhang, Jin Wang, Wei Southern University of Science and Technology Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Research Institute of Trustworthy Autonomous Systems Computer Science and Engineering Department China Hong Kong University of Science and Technology Computer Science and Engineering Department Hong Kong Institute of High Performance Computing and Agency for Science Technology and Research Singapore
Sharding is an effective technique to improve the scalability of blockchain. It splits nodes into multiple groups so that they can process transactions in parallel. To achieve higher parallelism and concurrency at lar... 详细信息
来源: 评论
Enhanced Dcf Tracker Regularized by Reliable Sample Construction
Enhanced Dcf Tracker Regularized by Reliable Sample Construc...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Kun Hu Mingyu Cao Mengzhu Wang Long Lan Wenjing Yang Huibin Tan Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China
Discriminative correlation filter (DCF) is a highly efficient tracking technique using the circulant shifted samples of search images to update the template, so the reliability of input samples determines template qua... 详细信息
来源: 评论
Sequence-to-Sequence Knowledge Graph Completion Based on Gated Attention Unit  29
Sequence-to-Sequence Knowledge Graph Completion Based on Gat...
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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Yi, Fengge Wei, Xiumei Liu, Xiaojing Jiang, Xuesong Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China State Key Laboratory of High-end Server & Storage Technology Jinan China
We present GauKGT5, a sequence-to-sequence model proposed for knowledge graph completion (KGC). Our research extends the KGT5 model, a recent sequence-to-sequence link prediction (LP) model. GauKGT5 takes advantage of... 详细信息
来源: 评论
Memory-based Exploration-value Evaluation Model for Visual Navigation
Memory-based Exploration-value Evaluation Model for Visual N...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Yongquan Feng Liyang Xu Minglong Li Ruochun Jin Da Huang Shaowu Yang Wenjing Yang Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China
We propose a hierarchical visual navigation solution, called Memory-based Exploration-value Evaluation Model (MEEM), to improve the agent's navigation performance. MEEM employs a hierarchical policy to tackle the ...
来源: 评论
Integrating Velox into TinkerPop for Graph Queries on Vectorized Engine
Integrating Velox into TinkerPop for Graph Queries on Vector...
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Electronic Information Engineering and computer technology (EIECT), International Conference on
作者: Zihao Li Liyang Xu Ruochun Jin Huan Chen Yuhua Tang Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China
To enhance the query efficiency of relational databases and build a unified computing backend, Meta has developed Velox, a vectorized execution engine library based on columnar storage, Currently, there is no standard...
来源: 评论
Task2Morph: Differentiable Task-Inspired Framework for Contact-Aware Robot Design
Task2Morph: Differentiable Task-Inspired Framework for Conta...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Yishuai Cai Shaowu Yang Minglong Li Xinglin Chen Yunxin Mao Xiaodong Yi Wenjing Yang State Key Laboratory of High Performance Computing Institute for Quantum Information College of Computer Science and Technology National University of Defense Technology Changsha China
Optimizing the morphologies and the controllers that adapt to various tasks is a critical issue in the field of robot design, aka. embodied intelligence. Previous works typically model it as a joint optimization probl...
来源: 评论