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检索条件"机构=National Engineering Laboratory on Big Data System Computing Technology"
822 条 记 录,以下是141-150 订阅
排序:
Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization  13
Multi-Stage Transfer Learning Evolutionary Algorithm for Dyn...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Wang, Qianhui Zhu, Qingling Ji, Junkai College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China
Recently, the application of transfer learning within dynamic multiobjective evolutionary algorithms (DMOEAs) has shown significant potential to solve dynamic multiobjective optimization problems (DMOPs). This approac... 详细信息
来源: 评论
RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference  24
RTGA: A Redundancy-free Accelerator for High-Performance Tem...
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61st ACM/IEEE Design Automation Conference, DAC 2024
作者: Yu, Hui Zhang, Yu Tan, Andong Lu, Chenze Zhao, Jin Liao, Xiaofei Jin, Hai Liu, Haikun 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
Temporal Graph Neural Network (TGNN) has attracted much research attention because it can capture the dynamic nature of complex networks. However, existing solutions suffer from redundant computation overhead and exce... 详细信息
来源: 评论
Optimal margin distribution machine for multi-instance learning  29
Optimal margin distribution machine for multi-instance learn...
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29th International Joint Conference on Artificial Intelligence, IJCAI 2020
作者: Zhang, Teng Jin, Hai 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 China
Multi-instance learning (MIL) is a celebrated learning framework where each example is represented as a bag of instances. An example is negative if it has no positive instances, and vice versa if at least one positive... 详细信息
来源: 评论
OpticE: A Coherence Theory-Based Model for Link Prediction  29
OpticE: A Coherence Theory-Based Model for Link Prediction
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29th International Conference on Computational Linguistics, COLING 2022
作者: Gui, Xiangyu Zhao, Feng Jin, Langjunqing Jin, Hai 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 China
Knowledge representation learning is a key step required for link prediction tasks with knowledge graphs (KGs). During the learning process, the semantics of each entity are embedded by a vector or a point in a featur... 详细信息
来源: 评论
Towards Stricter Black-box Integrity Verification of Deep Neural Network Models  24
Towards Stricter Black-box Integrity Verification of Deep Ne...
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32nd ACM International Conference on Multimedia, MM 2024
作者: He, Chaoxiang Bai, Xiaofan Ma, Xiaojing Zhu, Bin B. Hu, Pingyi Fu, Jiayun Jin, Hai Zhang, Dongmei Huazhong University of Science and Technology Hubei Wuhan China Shanghai Jiao Tong University Shanghai China Microsoft Corporation Beijing China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security Hubei Key Laboratory of Distributed System Security School of Cyber Science and Engineering Huazhong University of Science and Technology China 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 China
Cloud-based machine learning services offer significant advantages but also introduce the risk of tampering with cloud-deployed deep neural network (DNN) models. Black-box integrity verification (BIV) allows model own... 详细信息
来源: 评论
FHRDiff: Leveraging Diffusion Models for Conditional Fetal Heart Rate Signal Generation
FHRDiff: Leveraging Diffusion Models for Conditional Fetal H...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Li, Xiaoqing Lu, Yu Ngiam, Kee Yuan Yu, Zichang Furqan, Mohammad Shaheryar Shenzhen Technology University College of Big Data and Internet Shenzhen China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen China National University of Singapore Yong Loo Lin School of Medicine Department of Surgery Singapore
Accurate analysis of Fetal Heart Rate (FHR) signal is often impeded by challenges such as data scarcity and label imbalance, which affect the reliability and robustness of deep learning models. To address these challe... 详细信息
来源: 评论
GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network
GHVC-Net: Hypervolume Contribution Approximation Based on Gr...
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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024
作者: Wu, Guotong Nan, Yang Shang, Ke Ishibuchi, Hisao Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen518055 China
This paper proposes a framework called GHVC-Net that uses the graph neural network (GNN) model to approximate each solution's hypervolume contribution (HVC). GHVC-Net is permutation invariant and can handle soluti... 详细信息
来源: 评论
Fusion of Natural Language and Knowledge Graph for Multi-hop Reasoning  19th
Fusion of Natural Language and Knowledge Graph for Multi-hop...
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19th International Conference on Web Information systems and Applications, WISA 2022
作者: Lu, Xun Zhao, Feng Jin, Hai 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
Multi-hop reasoning has been widely studied for its important application values in the domain of intelligent search and question answering. Real-world applications are often dominated by natural language input, and i... 详细信息
来源: 评论
The Entry-Extensible Cuckoo Filter  17th
The Entry-Extensible Cuckoo Filter
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17th IFIP WG 10.3 International Conference on Network and Parallel computing, NPC 2020
作者: Yu, Shuiying Wu, Sijie Chen, Hanhua Jin, Hai 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
The emergence of large-scale dynamic sets in real applications brings severe challenges in approximate set representation structures. A dynamic set with changing cardinality requires an elastic capacity of the approxi... 详细信息
来源: 评论
RGraph: Asynchronous graph processing based on asymmetry of remote direct memory access
RGraph: Asynchronous graph processing based on asymmetry of ...
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作者: Chen, Hanhua Yuan, Jie Jin, Hai Wang, Yonghui Wu, Sijie Jiang, Zhihao National Engineering Research Center for Big Data Technology and System Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
The scale of real-world graphs is constantly growing. To deal with large-scale graphs, distributed graph processing has attracted much research efforts. Existing distributed graph processing systems are commonly built... 详细信息
来源: 评论