中文版 | English
Title

XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis

Author
Publication Years
2023
DOI
Source Title
ISSN
2160-9306
VolumePPIssue:99Pages:1-14
Keywords
URL[Source Record]
SUSTech Authorship
Others
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10026499
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/426991
DepartmentDepartment of Computer Science and Engineering
Affiliation
1.The State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, China
2.Hong Kong University of Science and Technology, Hong Kong, China
3.MIT Media Lab, Cambridge, MA, USA
4.Department of Computer Science and Engineering, Southern University of Science and Technology, Guangdong, China
5.Laboratory of Art and Archaeology Image (Zhejiang University), Ministry of Education, China
Recommended Citation
GB/T 7714
Yingchaojie Feng,Xingbo Wang,Bo Pan,et al. XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis[J]. IEEE Transactions on Visualization and Computer Graphics,2023,PP(99):1-14.
APA
Yingchaojie Feng.,Xingbo Wang.,Bo Pan.,Kam Kwai Wong.,Yi Ren.,...&Wei Chen.(2023).XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis.IEEE Transactions on Visualization and Computer Graphics,PP(99),1-14.
MLA
Yingchaojie Feng,et al."XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis".IEEE Transactions on Visualization and Computer Graphics PP.99(2023):1-14.
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