Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Huaxiu Yao"'
Autor:
Yinjie Jiang, Yemin Yu, Ming Kong, Yu Mei, Luotian Yuan, Zhengxing Huang, Kun Kuang, Zhihua Wang, Huaxiu Yao, James Zou, Connor W. Coley, Ying Wei
Publikováno v:
Engineering, Vol 25, Iss , Pp 32-50 (2023)
In recent years, there has been a dramatic rise in interest in retrosynthesis prediction with artificial intelligence (AI) techniques. Unlike conventional retrosynthesis prediction performed by chemists and by rule-based expert systems, AI-driven ret
Externí odkaz:
https://doaj.org/article/7b1ecaad58d04761aa0f03e1dc880d8e
Publikováno v:
IEEE Transactions on Big Data. 7:900-912
Real-time traffic monitoring becomes an essential part of an intelligent city. In recent years, the adoption of surveillance cameras is rapidly growing because they are helpful to manage and control the traffic. However, it is impossible to install c
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Spatio-temporal graph learning is a key method for urban computing tasks, such as traffic flow, taxi demand and air quality forecasting. Due to the high cost of data collection, some developing cities have few available data, which makes it infeasibl
Autor:
Yinjie Jiang, Yemin Yu, Ming Kong, Yu Mei, Luotian Yuan, Zhengxing Huang, Kun Kuang, Zhihua Wang, Huaxiu Yao, James Zou, Connor W. Coley, Ying Wei
Publikováno v:
Engineering.
Autor:
Chao Huang, Lu Yu, Chuxu Zhang, Dongjin Song, Haifeng Chen, Huaxiu Yao, Meng Jiang, Nitesh V. Chawla
Publikováno v:
ACM Transactions on Information Systems. 39:1-22
Web personalization, e.g., recommendation or relevance search, tailoring a service/product to accommodate specific online users, is becoming increasingly important. Inductive personalization aims to infer the relations between existing entities and u
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:7917-7925
Current neural network architectures have no mechanism for explicitly reasoning about item trade-offs. Such trade-offs are important for popular tasks such as recommendation. The main idea of this work is to give neural networks inductive biases that
Publikováno v:
AAAI
Using reinforcement learning for traffic signal control has attracted increasing interests recently. Various value-based reinforcement learning methods have been proposed to deal with this classical transportation problem and achieved better performa
Publikováno v:
City University of Hong Kong
To benefit the learning of a new task, meta-learning has been proposed to transfer a well-generalized meta-model learned from various meta-training tasks. Existing meta-learning algorithms randomly sample meta-training tasks with a uniform probabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b5e6c42c3e79b5c0421b1c698708970
http://arxiv.org/abs/2110.14057
http://arxiv.org/abs/2110.14057
Publikováno v:
IEEE Transactions on Big Data. 5:180-194
Crime is one of the most important social problems in the country, affecting public safety, children development, and adult socioeconomic status. Understanding what factors cause higher crime rate is critical for policy makers in their efforts to red
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 10:1-21
Detecting abnormal behaviors of students in time and providing personalized intervention and guidance at the early stage is important in educational management. Academic performance prediction is an important building block to enabling this pre-inter