supported by the National Key R&D Program of China(2022ZD0118802);the National Natural Science Foundation of China(Grant Nos.U20B2064 and U21B2043).
The pixel-wise dense prediction tasks based on weakly supervisions currently use Class Attention Maps(CAMs)to generate pseudo masks as ground-truth.However,existing methods often incorporate trainable modules to expan...
supported by the National Natural Science Foundation of China(Grant Nos.62032001 and 61972407).
Deep learning has gained superior accuracy on Euclidean structure data in neural networks.As a result,nonEuclidean structure data,such as graph data,has more sophisticated structural information,which can be applied i...
supported by the National Key R&D Program of China(2022YFF0903301);the National Natural Science Foundation of China(Grant Nos.U22B2059,61976073,62276083);the Shenzhen Foundational Research Funding(JCYJ20200109113441941);the Major Key Project of PCL(PCL2021A06).
Sparse Knowledge Graph(KG)scenarios pose a challenge for previous Knowledge Graph Completion(KGC)methods,that is,the completion performance decreases rapidly with the increase of graph sparsity.This problem is also ex...
supported by the National Natural Science Foundation of China(Grant No.61922087);the Huxiang Young Talents Program of Hunan Province(2021RC3070).
Unsupervised transfer subspace learning is one of the challenging and important topics in domain adaptation,which aims to classify unlabeled target data by using source domain information.The traditional transfer subs...
supported by the National Natural Science Foundation of China(Grant Nos.62276177 and 62376181).
Spatial relations in text refer to how a geographical entity is located in space in relation to a reference entity.Extracting spatial relations from text is a fundamental task in natural language understanding.Previou...
supported by the National Key R&D Program of China(2023YFF0725100);the National Natural Science Foundation of China(Grant Nos.62322214,62272466);the Fundamental Research Funds for the Central Universities and the Research Funds of Renmin University of China(24XNKJ22)。
Tables,typically two-dimensional and structured to store large amounts of data,are essential in daily activities like database queries,spreadsheet manipulations,Web table question answering,and image table information...
supported by the National Natural Science Foundation of China(Grant Nos.62302451 and 62276233);the Natural Science Foundation of Zhejiang Province of China(No.LQ22F020018);the Key Research Project of Zhejiang Province of China(No.2023C01048).
Edge closeness and betweenness centralities are widely used path-based metrics for characterizing the importance of edges in networks.In general graphs,edge closeness centrality indicates the importance of edges by th...
supported by the National Key R&D Program of China(No.2020YFB1708002);the National Natural Science Foundation of China(Grant Nos.62371009 and 61971008).
Data augmentation is a widely used regularization strategy in deep neural networks to mitigate overfitting and enhance generalization.In the context of point cloud data,mixing two samples to generate new training exam...
supported by the National Natural Science Foundation of China(Grant Nos.U2001205,61932010);Guangdong Basic and Applied Basic Research Foundation(Nos.2023B1515040020,2019B030302008);Guangdong Provincial Key Laboratory of Power System Network Security(No.GPKLPSNS-2022-KF-05).
To prevent misuse of privacy,numerous anonymous authentication schemes with linkability and/or traceability have been proposed to ensure different types of accountabilities.Previous schemes cannot simultaneously achie...
supported by the National Key R&D Program of China(SQ2021YFC2300067).
1 Introduction Microbial infections represent significant global health challenges with far-reaching implications.In contemporary medical practice,quantitative polymerase chain reaction(qPCR)stands as an important tec...