Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Xiaola Lin"'
Publikováno v:
IEEE Access, Vol 7, Pp 16155-16167 (2019)
In the service network, there exist various objects and rich relations among them. These various objects and rich relations naturally form a heterogeneous information network. Service recommendations can help users to locate their desired services. P
Externí odkaz:
https://doaj.org/article/df34d1a0ac0a47f58afde565616045bf
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
With the advance in mobile network-based systems, dynamic system has become one of the hotspots in fundamental study of distributed systems. In this article, we consider the dynamic system with frequent topology changes arising from node mobility or
Externí odkaz:
https://doaj.org/article/6a38eaed43ad4a4aa6579dcfc6662cb2
Autor:
Yadong Gong, Xiaola Lin
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 5, Iss 1, Pp 83-83 (2009)
Externí odkaz:
https://doaj.org/article/62951206f28d4c81a0614ce40522f540
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 30:2015-2024
Publikováno v:
Neurocomputing. 467:130-137
Multimodal Sentiment Analysis (MSA) is a challenging research area that investigates sentiment expressed from multiple heterogeneous sources of information. To integrate multimodal information including text, visual and audio modalities, state-of-the
Publikováno v:
AAAI
In this paper, we present a graph-based Transformer for semantic parsing. We separate the semantic parsing task into two steps: 1) Use a sequence-to-sequence model to generate the logical form candidates. 2) Design a graph-based Transformer to rerank
Publikováno v:
IEEE Access, Vol 7, Pp 16155-16167 (2019)
In the service network, there exist various objects and rich relations among them. These various objects and rich relations naturally form a heterogeneous information network. Service recommendations can help users to locate their desired services. P
Publikováno v:
COLING
In this paper, we present a multi-level alignment pretraining method in a unified architecture formulti-lingual semantic parsing. In this architecture, we use an adversarial training method toalign the space of different languages and use sentence le
Publikováno v:
China Communications. 15:42-56
Autor:
Xiaola Lin, Fansheng Kong
Publikováno v:
Cluster Computing. 22:11435-11442
With the rapid development of urbanization, the imbalance between supply and demand of taxi is becoming more and more serious. Therefore, in this paper, the method and application of large data mining of taxi moving trajectory based on MapReduce were