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检索条件"机构=Research Center on Data Science and Social Computing"
2122 条 记 录,以下是1-10 订阅
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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
来源: 评论
Final: Combining First-Order Logic With Natural Logic for Question Answering
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IEEE Transactions on Knowledge and data Engineering 2025年 第6期37卷 3103-3117页
作者: Shi, Jihao Ding, Xiao Hui, Siu Cheung Yan, Yuxiong Zhao, Hengwei Liu, Ting Qin, Bing Harbin Institute of Technology Research Center for Social Computing and Information Retrieval Harbin150001 China Nanyang Technological University School of Computer Science and Engineering 639798 Singapore
Many question-answering problems can be approached as textual entailment tasks, where the hypotheses are formed by the question and candidate answers, and the premises are derived from an external knowledge base. Howe... 详细信息
来源: 评论
Cost-Effective Edge data Caching with Failure Tolerance and Popularity Awareness
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IEEE Transactions on Mobile computing 2025年 第6期24卷 5357-5369页
作者: Luo, Ruikun Zhang, Zujia He, Qiang Xu, Mengxi Chen, Feifei Dai, Xiaohai Wu, Song Jin, Hai Huazhong University of Science and Technology 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 China Deakin University School of Information Technology GeelongVIC3125 Australia
In the mobile edge computing environment, caching data in edge storage systems can significantly reduce data retrieval latency for users while saving the costs incurred by cloud-edge data transmissions for app vendors... 详细信息
来源: 评论
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
来源: 评论
STB-GraCapsNet: A Novel Capsule Network Structure with Swin Transformer Block  25th
STB-GraCapsNet: A Novel Capsule Network Structure with Swin...
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25th International Conference on Parallel and Distributed computing, Applications and Technologies, PDCAT 2024
作者: Zhang, Chunying Dong, Ziao Wang, Liya Liu, Lu Ren, Jing Ma, Jiang Liu, Bin College of Science North China University of Science and Technology 21 Bohai Road Caofeidian Xincheng Hebei Tangshan063210 China Big data and Social Computing Research Center Hebei University of Science and Technology Hebei Shijiazhuang0500198 China
Capsule network is a new type of neural network encoding features into capsules and constructing the part-whole relationships, which demonstrated good performance in image classification. However, it has some issues s... 详细信息
来源: 评论
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
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IEEE Transactions on Multimedia 2025年 27卷 2666-2681页
作者: Liu, Renyang Lam, Kwok-Yan Zhou, Wei Wu, Sixing Zhao, Jun Hu, Dongting Gong, Mingming Yunnan University School of Information Science and Engineering Kunming650500 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Yunnan University School of Software Engineering Research Center of Cyberspace Kunming650500 China University of Melbourne Melbourne Centre for Data Science School of Mathematics and Statistics ParkvilleVIC3010 Australia
Extensive studies have revealed that deep neural networks (DNNs) are vulnerable to adversarial attacks, especially black-box ones, which can heavily threaten the DNNs deployed in the real world. Many attack techniques... 详细信息
来源: 评论
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
来源: 评论
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
来源: 评论
FlexIM: Efficient and Verifiable Index Management in Blockchain
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IEEE Transactions on Knowledge and data Engineering 2025年 第6期37卷 3399-3412页
作者: Li, Binhong Lin, Licheng Zhang, Shijie Xu, Jianliang Xiao, Jiang Li, Bo Jin, Hai Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Laboratory The Cluster and Grid Computing Laboratory School of Computer Science and Technology Wuhan430074 China Hong Kong Baptist University School of Computer Science Hong Kong Hong Kong University of Science and Technology Department of Computer Science and Engineering Hong Kong999077 Hong Kong
Blockchain-based query with its traceability and data provenance has become increasingly popular and widely adopted in numerous applications. Yet existing index-based query approaches are only efficient under static b... 详细信息
来源: 评论
FedHKD: A Hierarchical Federated Learning Approach Integrating Clustering and Knowledge Distillation for Non-IID data  1
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2nd International Conference on Artificial Intelligence Security and Privacy, AIS and P 2024
作者: Hu, Shiwen Wang, Changji Li, Yuan Liu, Zhen Liu, Ning Gan, Qingqing School of Information Science and Technology Guangdong University of Foreign Studies Guangzhou China Guangdong Engineering Research Center of Data Security Governance and Privacy Computing Guangzhou China
Federated learning allows decentralized model training while preserving data privacy. However, Non-IID data poses significant challenges, leading to performance degradation and increased communication overhead. This p... 详细信息
来源: 评论