Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Xing, Chunxiao"'
GPUs, whose performance has gone through a huge leap over the past decade, have proved their ability to accelerate Online Analytical Processing (OLAP) operations. On the other hand, there is still a huge gap in the field of GPU-accelerated Online Tra
Externí odkaz:
http://arxiv.org/abs/2406.10158
Autor:
Wang, Shuhui, Sun, Zihan, Hu, Chaochen, Li, Chao, Zhang, Yong, Yao, Yandong, Wang, Hao, Xing, Chunxiao
Recent years have seen massive time-series data generated in many areas. This different scenario brings new challenges, particularly in terms of data ingestion, where existing technologies struggle to handle such massive time-series data, leading to
Externí odkaz:
http://arxiv.org/abs/2406.05462
The recent advancements in Large Language Models (LLMs) have sparked interest in harnessing their potential within recommender systems. Since LLMs are designed for natural language tasks, existing recommendation approaches have predominantly transfor
Externí odkaz:
http://arxiv.org/abs/2312.02443
Autor:
Li, Xinhang, Zhao, Xiangyu, Wang, Yejing, Liu, Yu, Li, Yong, Long, Cheng, Zhang, Yong, Xing, Chunxiao
As a representative information retrieval task, site recommendation, which aims at predicting the optimal sites for a brand or an institution to open new branches in an automatic data-driven way, is beneficial and crucial for brand development in mod
Externí odkaz:
http://arxiv.org/abs/2307.00856
Link prediction aims to identify potential missing triples in knowledge graphs. To get better results, some recent studies have introduced multimodal information to link prediction. However, these methods utilize multimodal information separately and
Externí odkaz:
http://arxiv.org/abs/2303.10816
Entity alignment aims at integrating heterogeneous knowledge from different knowledge graphs. Recent studies employ embedding-based methods by first learning the representation of Knowledge Graphs and then performing entity alignment via measuring th
Externí odkaz:
http://arxiv.org/abs/2201.11249
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 index structures in DBMS. The key insight is that indexes could be regarde
Externí odkaz:
http://arxiv.org/abs/2104.05520
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 training data is fixed and applied directly in the test data. Although such
Externí odkaz:
http://arxiv.org/abs/2002.06878