Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Boxiang Dong"'
Publikováno v:
Cryptography, Vol 4, Iss 4, p 29 (2020)
With the rapid growth of smart devices and technological advancements in tracking geospatial data, the demand for Location-Based Services (LBS) is facing a constant rise in several domains, including military, healthcare and transportation. It is a n
Externí odkaz:
https://doaj.org/article/3045b700ec0b461b80b107ea5b5bc4f4
Publikováno v:
Creativity Research Journal. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::417b6d27a47feca1c499fc140da04e75
https://doi.org/10.1080/10400419.2023.2187544
https://doi.org/10.1080/10400419.2023.2187544
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::505af923f6274921dc53771d32d38ace
https://doi.org/10.1145/3543873.3587674
https://doi.org/10.1145/3543873.3587674
Autor:
Kai Wang, Boxiang Dong
Publikováno v:
Academy of Management Proceedings. 2022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38dcbf481bc5c7a41c1b04eb19029428
https://doi.org/10.5465/ambpp.2022.13469abstract
https://doi.org/10.5465/ambpp.2022.13469abstract
Autor:
Hui Wang, Kai Zhang, Haifeng Chen, Zhengzhang Chen, Boxiang Dong, Lu-An Tang, Zhichun Li, Ying Lin
Publikováno v:
IEEE Intelligent Systems. 36:5-13
Anomaly detection has been widely applied in modern data-driven security applications to detect abnormal events/entities that deviate from the majority. However, less work has been done in terms of detecting suspicious event sequences/paths, which ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccfda8f0a546d0447f867b24fed0e3ca
https://doi.org/10.1109/mis.2020.3041174
https://doi.org/10.1109/mis.2020.3041174
Publikováno v:
Future Generation Computer Systems. 105:308-317
In this paper, we consider the server allocation problem for edge computing system deployment where each edge cloud is modeled as an M/M/c queue. Our goal is to minimize the overall average system response time of application requests generated by al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a862766b1248f693dea5c3db353f27cc
https://doi.org/10.1016/j.future.2019.12.004
https://doi.org/10.1016/j.future.2019.12.004
Publikováno v:
2021 IEEE Cloud Summit (Cloud Summit).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::311ab66f10cd76b73b867a6506cb20cf
https://doi.org/10.1109/ieeecloudsummit52029.2021.00021
https://doi.org/10.1109/ieeecloudsummit52029.2021.00021
Publikováno v:
IJCNN
Generative Adversarial Networks (GANs) effectively capture the true posterior distribution. When applied to Collaborative Filtering (CF), GANs can generate a recommendation list through implicit feedback. However, the discriminators in the existing G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07230314d9e4d2fce3b4182f9a637adb
https://doi.org/10.1109/ijcnn52387.2021.9533585
https://doi.org/10.1109/ijcnn52387.2021.9533585
Publikováno v:
Proceedings of the VLDB Endowment. 12:362-375
Incentivized by the enormous economic profits, the data marketplace platform has been proliferated recently. In this paper, we consider the data marketplace setting where a data shopper would like to buy data instances from the data marketplace for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749e4ea268cee3d14e1836cabde4cf05
https://doi.org/10.14778/3297753.3297757
https://doi.org/10.14778/3297753.3297757
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030865191
ECML/PKDD (2)
ECML/PKDD (2)
Deep neural networks (DNNs) are prominent due to their superior performance in many fields. The deep-learning-as-a-service (DLaaS) paradigm enables individuals and organizations (clients) to outsource their DNN learning tasks to the cloud-based platf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::574bf764b92730add021863e36df954f
https://doi.org/10.1007/978-3-030-86520-7_36
https://doi.org/10.1007/978-3-030-86520-7_36
