Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Chuizheng Meng"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-28 (2022)
Abstract The recent release of large-scale healthcare datasets has greatly propelled the research of data-driven deep learning models for healthcare applications. However, due to the nature of such deep black-boxed models, concerns about interpretabi
Externí odkaz:
https://doaj.org/article/ac8203d826ac4f4fa6a8562775c5f6b7
Autor:
Ge Yu, Huaijun Ji, Chuizheng Meng, Yixuan Huang, Guogang Gao, Chuanping Liu, Shanlei Wang, Lei Zhang, Jin Ju
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 14, Iss 1, Pp 1-6 (2019)
Abstract Background Organizing pneumonia (OP) is a rare disease that is often easily misdiagnosed as a malignancy. The diagnosis of OP can prove quite challenging. Patients typically receive treatment with high-dose corticosteroids. Relapse is common
Externí odkaz:
https://doaj.org/article/0e490669b35d4be593de007397eda21d
Autor:
Ge Yu, Huaijun Ji, Chuizheng Meng, Yixuan Huang, Guogang Gao, Chuanping Liu, Shanlei Wang, Lei Zhang, Jin Ju
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 14, Iss 1, Pp 1-4 (2019)
Abstract Background Leukemoid reaction (LR) is defined as a reactive leucocytosis with WBC counts exceeding 50,000/mm3, and a significant increase in early neutrophil precursors. LR may be a paraneoplastic manifestation of various malignant tumors. T
Externí odkaz:
https://doaj.org/article/a9a52efdd17b4b839845ea2efe7e84ea
Autor:
Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu
Publikováno v:
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) ISBN: 9781611977653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::381d3516933051ce6dc9cf4a74c3e506
https://doi.org/10.1137/1.9781611977653.ch37
https://doi.org/10.1137/1.9781611977653.ch37
Autor:
Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Spatiotemporal data aggregated over regions or time windows at various resolutions demonstrate heterogeneous patterns and dynamics in each resolution. Meanwhile, the multi-resolution characteristic provides rich contextual information, which is criti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85dee0f89bd6bdf1be22e212b5d07ebf
https://doi.org/10.24963/ijcai.2022/304
https://doi.org/10.24963/ijcai.2022/304
Autor:
Chuizheng Meng, Yujie Qian, Jie Tang, Yukuo Cen, Zonghong Dai, Gaofei Wang, Hongxia Yang, Jing Zhang
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 32:1024-1035
This paper introduces how to infer trust relationships from billion-scale networked data to benefit Alibaba E-Commerce business. To effectively leverage the network correlations between labeled and unlabeled relationships to predict trust relationshi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75a0b4175602a8ccb1fee30477cb9abd
https://doi.org/10.1109/tkde.2019.2893939
https://doi.org/10.1109/tkde.2019.2893939
Autor:
Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031059322
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a0556588bad1f9ef1494964ae0dff5f
https://doi.org/10.1007/978-3-031-05933-9_6
https://doi.org/10.1007/978-3-031-05933-9_6
Publikováno v:
IJCAI
Modeling the dynamics of real-world physical systems is critical for spatiotemporal prediction tasks, but challenging when data is limited. The scarcity of real-world data and the difficulty in reproducing the data distribution hinder directly applyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce0da3ea31bdd764418ac802ff1ad39a
https://doi.org/10.24963/ijcai.2021/405
https://doi.org/10.24963/ijcai.2021/405
Autor:
Jin Ju, Ge Yu, Shanlei Wang, Lei Zhang, Yixuan Huang, Guogang Gao, Chuizheng Meng, Huaijun Ji, Chuanping Liu
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 14, Iss 1, Pp 1-6 (2019)
Journal of Cardiothoracic Surgery
Journal of Cardiothoracic Surgery
Background Organizing pneumonia (OP) is a rare disease that is often easily misdiagnosed as a malignancy. The diagnosis of OP can prove quite challenging. Patients typically receive treatment with high-dose corticosteroids. Relapse is common if corti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb23db2f87e7dbd236d23db8f230e8fa
http://link.springer.com/article/10.1186/s13019-019-0939-2
http://link.springer.com/article/10.1186/s13019-019-0939-2
Publikováno v:
KDD
Vast amount of data generated from networks of sensors, wearables, and the Internet of Things (IoT) devices underscores the need for advanced modeling techniques that leverage the spatio-temporal structure of decentralized data due to the need for ed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f49337f2ddc9db4b63494d12dbb8ff3
http://arxiv.org/abs/2106.05223
http://arxiv.org/abs/2106.05223