6 citations · 11 across the 4 of their papers we have counts for
4 papers
Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment
Xinhang Li, Yong Zhang, Chunxiao Xing
Entity alignment aims at integrating heterogeneous knowledge from different knowledge graphs. Recent studies employ embedding-based methods by first learning the representation of…
Updatable Learned Index with Precise Positions
Jiacheng Wu, Yong Zhang, Shimin Chen +3
Index plays an essential role in modern database engines to accelerate the query processing. The new paradigm of "learned index" has significantly changed the way of designing inde…
Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction
Chi Chen, Li Zhao, Wei Cao +2
Nowadays, machine learning methods have been widely used in stock prediction. Traditional approaches assume an identical data distribution, under which a learned model on the train…
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling
Jiacheng Wu, Yong Zhang, Jin Wang +3
Given two sets of objects, metric similarity join finds all similar pairs of objects according to a particular distance function in metric space. There is an increasing demand to p…