Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Qunwei, Li"'
Autor:
Zhengbao Zhu, Daoxia Guo, Chongke Zhong, Aili Wang, Tan Xu, Yanbo Peng, Hao Peng, Qunwei Li, Zhong Ju, Deqin Geng, Jing Chen, Yonghong Zhang, Jiang He
Publikováno v:
Journal of Neuroinflammation, Vol 17, Iss 1, Pp 1-10 (2020)
Abstract Background Dickkopf-3 (Dkk-3) is implicated in the progression of atherosclerosis. This study aimed to investigate the association between serum Dkk-3 and the prognosis of ischemic stroke. Methods We measured serum Dkk-3 levels in 3344 ische
Externí odkaz:
https://doaj.org/article/06cd7e9c6ef944b793b2bfa05459647f
Autor:
Bizhong Che, Suwen Shen, Zhengbao Zhu, Aili Wang, Tan Xu, Yanbo Peng, Qunwei Li, Zhong Ju, Deqin Geng, Jing Chen, Jiang He, Yonghong Zhang, Chongke Zhong
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 9, Iss 16 (2020)
Background Epidemiological studies have reported discrepant findings on the relationship between education level and outcomes after stroke. We aimed to prospectively investigate the relationship between education level and mortality, recurrent stroke
Externí odkaz:
https://doaj.org/article/4bfc52e2d1824d4bbd2bb2847204dc34
Publikováno v:
IEEE Internet of Things Journal. 8:12279-12288
We study the problem of a sensor performing inference tasks based on the utility theory, where the objective is to derive the optimal resource usage amount that maximizes a profit-cost-based utility function. Furthermore, to enable the concept of sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2719ca397fc6222198ae3adc46d17af
https://doi.org/10.1109/jiot.2021.3063300
https://doi.org/10.1109/jiot.2021.3063300
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb3aaa616e4572cf67a1f9140a1f9d4
https://doi.org/10.1145/3477495.3531785
https://doi.org/10.1145/3477495.3531785
Autor:
Qunwei Li, Bhavya Kailkhura, Yingbin Liang, Yi Zhou, T. Yong-Jin Han, Jize Zhang, Pramod K. Varshney, Rushil Anirudh
Publikováno v:
SIAM Journal on Mathematics of Data Science. 3:1197-1222
Despite the growing interest in applying generative adversarial networks (GANs) in complex scientific applications, training GANs on scientific data remains a challenging problem from both theoreti...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7159e123ef90e3127e01ec84a18de61
https://doi.org/10.1137/20m1344299
https://doi.org/10.1137/20m1344299
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::441beb2b48dd4aa566a7c5b3cb32f6e4
https://doi.org/10.1109/icassp43922.2022.9747866
https://doi.org/10.1109/icassp43922.2022.9747866
Autor:
Hao Peng, Yilong Wang, Chongke Zhong, Daoxia Guo, Yanbo Peng, Zhengbao Zhu, Deqin Geng, Jiang He, Jing Chen, Liping Liu, Tan Xu, Aili Wang, Qunwei Li, Xuewei Xie, Zhong Ju, Yonghong Zhang
Publikováno v:
Clinical Chemistry. 66:706-717
Background S100A8/A9 is implicated in inflammation mechanisms related to atherosclerosis and plaque vulnerability, but it remains unclear whether S100A8/A9 is associated with the prognosis of ischemic stroke. The aim of this study was to investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c4135e70413c0981d677834d43c5396
https://doi.org/10.1093/clinchem/hvaa069
https://doi.org/10.1093/clinchem/hvaa069
Publikováno v:
IEEE Transactions on Signal Processing. 68:4083-4093
We consider the $M$-ary classification problem via crowdsourcing, where crowd workers respond to simple binary questions and the answers are aggregated via decision fusion. The workers have a reject option to skip answering a question when they do no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cf1d4cf348790096dc42c8cca9ec2f6
https://doi.org/10.1109/tsp.2020.3006754
https://doi.org/10.1109/tsp.2020.3006754
The problem of quickest change detection (QCD) in anonymous heterogeneous sensor networks is studied. There are $n$ heterogeneous sensors and a fusion center. The sensors are clustered into $K$ groups, and different groups follow different data-gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::710f202bd7dd3dd300a9672cbec1848b
Publikováno v:
ISIT
The problem of quickest change detection in anonymous heterogeneous sensor networks is studied. The sensors are clustered into $K$ groups, and different groups follow different data generating distributions. At some unknown time, an event occurs in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c0b6adacd4be0958ca9b8f55668fe76
https://doi.org/10.1109/isit45174.2021.9517884
https://doi.org/10.1109/isit45174.2021.9517884