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ORCIDJia Yu 0011
Person information
- affiliation: Minzu University of China, Beijing, China
Other persons with the same name
- Jia Yu — disambiguation page
- Jia Yu 0001
![[0000-0003-1340-6475]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1340-6475")
— Arizona State University, Tempe, AZ, USA - Jia Yu 0002 — Northwestern Polytechnical University, Xi'an, China
- Jia Yu 0003 — Qingdao University, College of Computer Science and Technology, Qingdao, China (and 2 more)
- Jia Yu 0004 — Nanyang Technological University, Singapore
- Jia Yu 0006 — Harbin Institute of Technology, Shenzhen, China
- Jia Yu 0007 — Shanghai Normal University, China (and 1 more)
- Jia Yu 0008 — University of California Riverside, CA, USA
- Jia Yu 0009 — University of Melbourne, VIC, Australia
- Jia Yu 0010 — Huazhong University of Science and Technology, Wuhan, China
- Jia Yu 0012 — Hohai University, Nanjing, China
- Jia Yu 0013 — University of New South Wales, Sydney, Australia
- Jia Yu 0014 — Administrative College of JiangSu Province, Nanjing, China
- Jia Yu 0015 — University of California, Department of Mathematics, Berkeley, CA, USA
- Jia Yu 0016 — Ocean University of China, Qingdao, China
- Jia Yu 0017 — Seeburger China Inc., Shanghai, China
- Jia Yu 0018 — China Electronics Technology Cyber Security Co., Ltd.
- Jia Yu 0019 — University of Jinan, Jinan, China
- Jia Yu 0020 — Washington State University, USA (and 1 more)
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2010 – 2019
- 2019
[j4]Jia Yu, Lirong Qiu:
ULW-DMM: An Effective Topic Modeling Method for Microblog Short Text. IEEE Access 7: 884-893 (2019)- 2018
- [j3]Lirong Qiu, Jia Yu:
CLDA: An Effective Topic Model for Mining User Interest Preference under Big Data Background. Complex. 2018: 2503816:1-2503816:10 (2018) - [j2]Lirong Qiu, Jia Yu, Jie Li, Haoran Jia:
Tibetan Weibo User Group Division Based on Semantic Information in the Era of Big Data. Complex. 2018: 5809043:1-5809043:11 (2018) - 2017
- [j1]Lirong Qiu, Jia Yu, Qiumei Pu, Chuncheng Xiang:
Knowledge entity learning and representation for ontology matching based on deep neural networks. Clust. Comput. 20(2): 969-977 (2017)
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