118 citations · 157 across the 5 of their papers we have counts for
6 papers
Efficient Adaptive Label Refinement for Label Noise Learning
Wenzhen Zhang, Debo Cheng, Guangquan Lu +3
Deep neural networks are highly susceptible to overfitting noisy labels, which leads to degraded performance. Existing methods address this issue by employing manually defined crit…
An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies
Keyu Wang, Site Li, Jiaye Li +2
Inconsistency handling is an important issue in knowledge management. Especially in ontology engineering, logical inconsistencies may occur during ontology construction. A natural…
Hashing Learning with Hyper-Class Representation
Shichao Zhang, Jiaye Li
Existing unsupervised hash learning is a kind of attribute-centered calculation. It may not accurately preserve the similarity between data. This leads to low down the performance…
Hyper-Class Representation of Data
Shichao Zhang, Jiaye Li, Wenzhen Zhang +1
Data representation is usually a natural form with their attribute values. On this basis, data processing is an attribute-centered calculation. However, there are three limitations…
Reachable Distance Function for KNN Classification
Shichao Zhang, Jiaye Li, Yangding Li
Distance function is a main metrics of measuring the affinity between two data points in machine learning. Extant distance functions often provide unreachable distance values in re…
KNN Classification with One-step Computation
Shichao Zhang, Jiaye Li
KNN classification is an improvisational learning mode, in which they are carried out only when a test data is predicted that set a suitable K value and search the K nearest neighb…