Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Gongjie Zhang"'
Autor:
Gongjie Zhang, Dongming Li
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundThe relationship between infection and tumors has attracted increasing attention. Trichoderma spp. are often isolated from tumors. However, their potential role remains unclear. We recently reported the isolation of Trichoderma longibrachia
Externí odkaz:
https://doaj.org/article/3f64823ffcd14d7b96ef5b0d21429a53
Publikováno v:
IEEE Access, Vol 8, Pp 61999-62010 (2020)
The main task of software testing is the generation of test data with high quality in restricted time. But for software with uncertainties, such as randomness, existing methods of generating test data often lose their effectiveness. For software with
Externí odkaz:
https://doaj.org/article/69661bdb092f46328bf416dc86fec55a
Publikováno v:
IEEE Access, Vol 7, Pp 35710-35718 (2019)
Software defect prediction has attracted much attention of researchers in software engineering. At present, feature selection approaches have been introduced into software defect prediction, which can improve the performance of traditional defect pre
Externí odkaz:
https://doaj.org/article/b88bba1e58b141088fc630c20cf82501
Publikováno v:
IEEE Transactions on Software Engineering. 48:1169-1184
Compared with traditional structural test criteria, test data generated based on mutation testing are proved more effective at detecting faults. However, not all test data have the same potence in detecting software faults. If test data are prioritiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b2b4f50353059e82f9f851447874b15
https://doi.org/10.1109/tse.2020.3014960
https://doi.org/10.1109/tse.2020.3014960
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
Few-shot object detection has been extensively investigated by incorporating meta-learning into region-based detection frameworks. Despite its success, the said paradigm is still constrained by several factors, such as (i) low-quality region proposal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8daff22f4594b714cfebab6f76e91841
https://pubmed.ncbi.nlm.nih.gov/35917572
https://pubmed.ncbi.nlm.nih.gov/35917572
Publikováno v:
IET Software. 14:283-292
Software evolution is an important activity in the life cycle of a modern software system. In the process of software evolution, the repair of historical defects and the increasing demands may introduce new defects. Therefore, evolution-oriented defe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8a6afd563cd8fbc6ac872d713aa9a99
https://doi.org/10.1049/iet-sen.2018.5439
https://doi.org/10.1049/iet-sen.2018.5439
The recently developed DEtection TRansformer (DETR) establishes a new object detection paradigm by eliminating a series of hand-crafted components. However, DETR suffers from extremely slow convergence, which increases the training cost significantly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57c048e8ff77fe8ba93facf411129744
Publikováno v:
IEEE Access, Vol 8, Pp 61999-62010 (2020)
The main task of software testing is the generation of test data with high quality in restricted time. But for software with uncertainties, such as randomness, existing methods of generating test data often lose their effectiveness. For software with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9370e85f10e00d1a3a49317c08829fac
https://doi.org/10.1109/access.2020.2983762
https://doi.org/10.1109/access.2020.2983762
Autor:
Chunyan Miao, Shijian Lu, Fangneng Zhan, Kaiwen Cui, Xuansong Xie, Jianxiong Pan, Gongjie Zhang, Feiying Ma, Yingchen Yu, Changgong Zhang
Publikováno v:
CVPR
Despite the great success of GANs in images translation with different conditioned inputs such as semantic segmentation and edge maps, generating high-fidelity realistic images with reference styles remains a grand challenge in conditional image-to-i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eece83c1081de4353763c040ca2e486
https://doi.org/10.1109/cvpr46437.2021.01478
https://doi.org/10.1109/cvpr46437.2021.01478