Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Zhou, Yujia"'
Auto-regressive search engines emerge as a promising paradigm for next-gen information retrieval systems. These methods work with Seq2Seq models, where each query can be directly mapped to the identifier of its relevant document. As such, they are pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e36ebcb707e91beda797ebfa18bf381b
Autor:
Hu, Yan, Ameer, Iqra, Zuo, Xu, Peng, Xueqing, Zhou, Yujia, Li, Zehan, Li, Yiming, Li, Jianfu, Jiang, Xiaoqian, Xu, Hua
In this study, we investigated the potential of ChatGPT, a large language model developed by OpenAI, for the clinical named entity recognition task defined in the 2010 i2b2 challenge, in a zero-shot setting with two different prompt strategies. We co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5adafca8b78d36c454509af740eeb133
Publikováno v:
Clinical Ophthalmology.
Yujia Zhou,1 Mark DiSclafani,2 Lauren Jeang,1 Ankit A Shah1 1Department of Ophthalmology, University of Florida College of Medicine, Gainesville, FL, USA; 2Department of Ophthalmology, University of South Florida Morsani College of Medicine, Tampa, F
Publikováno v:
Journal of Traffic and Logistics Engineering. :27-31
With the capacity limitation of the assembly line buffer area, a method for solving the mixed flow assembly line balancing problem considering material supply strategy is proposed. This paper analyzes the changes in material transportation time and a
Document retrieval has been extensively studied within the index-retrieve framework for decades, which has withstood the test of time. Unfortunately, such a pipelined framework limits the optimization of the final retrieval quality, because indexing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce7dbe456e93cf6e331369d6ae0057f0
Web search provides a promising way for people to obtain information and has been extensively studied. With the surgence of deep learning and large-scale pre-training techniques, various neural information retrieval models are proposed and they have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35aa2b66c318a1a9a7161cf80cf17c84
The key to personalized search is to build the user profile based on historical behaviour. To deal with the users who lack historical data, group based personalized models were proposed to incorporate the profiles of similar users when re-ranking the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc6057c54e9d834967f404b2e889d3e
http://arxiv.org/abs/2111.12618
http://arxiv.org/abs/2111.12618
Autor:
Rasmy, Laila, Zhu, Jie, Li, Zhiheng, Hao, Xin, Tran, Hong Thoai, Zhou, Yujia, Tiryaki, Firat, Xiang, Yang, Xu, Hua, Zhi, Degui
Recently, there is great interest to investigate the application of deep learning models for the prediction of clinical events using electronic health records (EHR) data. In EHR data, a patient's history is often represented as a sequence of visits,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e58663d872b05e099aeb1b4ae48803b5
Autor:
Zhou, Yujia, Pang, Shumao, Cheng, Jun, Sun, Yuhang, Wu, Yi, Zhao, Lei, Liu, Yaqin, Lu, Zhentai, Yang, Wei, Feng, Qianjin
Deformation field estimation is an important and challenging issue in many medical image registration applications. In recent years, deep learning technique has become a promising approach for simplifying registration problems, and has been gradually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78b6b3f4400d2ca0ff012236b4f2af4
http://arxiv.org/abs/2004.07624
http://arxiv.org/abs/2004.07624
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030622046
Water network connectivity plays a pivotal role in water security and ecological civilization, which also has been viewed as an important part for water comprehensive improvement. Using graph theory, the water network can be modeled as an undirected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::613c1766deb403dce173241b4398fd84
https://doi.org/10.1007/978-3-030-62205-3_11
https://doi.org/10.1007/978-3-030-62205-3_11