Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Huajie Shao"'
Autor:
Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
The paper extends earlier work on modeling hierarchically polarized groups on social media. An algorithm is described that 1) detects points of agreement and disagreement between groups, and 2) divides them hierarchically to represent nested patterns
Externí odkaz:
https://doaj.org/article/0743126c96634494a88dd9a570f0a93c
Publikováno v:
Sensors, Vol 17, Iss 7, p 1688 (2017)
Accurate information acquisition is of vital importance for wireless sensor array network (WSAN) direction of arrival (DOA) estimation. However, due to the lossy nature of low-power wireless links, data loss, especially block data loss induced by ado
Externí odkaz:
https://doaj.org/article/099ebb2c456a46d6ae01c9a9b6677081
Publikováno v:
China Communications. 19:310-323
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c17ae54feb2d318eae29ce0922fead34
https://doi.org/10.23919/jcc.2022.07.023
https://doi.org/10.23919/jcc.2022.07.023
Publikováno v:
IEEE Journal on Selected Areas in Communications. 39:3805-3820
Federated learning (FL) is a privacy-preserving distributed machine learning framework, which involves training statistical models over a number of mobile users (i.e., workers) while keeping data localized. However, recent works have demonstrated tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9df6fbc339c7dece8645a1f0eeb25437
https://doi.org/10.1109/jsac.2021.3118354
https://doi.org/10.1109/jsac.2021.3118354
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fda5b5ef299bffa1771fc3086c3f88a2
https://doi.org/10.1109/bibm55620.2022.9995016
https://doi.org/10.1109/bibm55620.2022.9995016
Autor:
Huajie Shao, Tianshi Wang, Shengzhong Liu, Shuochao Yao, Ruijie Wang, Tarek Abdelzaher, Jinyang Li, Dongxin Liu
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5:1-29
In this paper, we present a novel deep neural network architecture that reconstructs the high-frequency audio of selected spoken human words from low-sampling-rate signals of (ego-)motion sensors, such as accelerometer and gyroscope data, recorded on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e695de4e26b61a41461f4814483545
https://doi.org/10.1145/3478102
https://doi.org/10.1145/3478102
Autor:
Dongxin Liu, Lu Su, Zhibo Wang, Huajie Shao, Shengzhong Liu, Lance M. Kaplan, Tarek Abdelzaher, Shuochao Yao, Dachun Sun
Publikováno v:
IEEE Transactions on Computers. 70:1325-1337
This article proposes unsupervised truth-finding algorithms that combine consideration of multi-modal content features with analysis of propagation patterns to evaluate the veracity of observations in social sensing applications. A key social sensing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2faed3333bbe87ccdcbfc06a09846682
https://doi.org/10.1109/tc.2020.3008561
https://doi.org/10.1109/tc.2020.3008561
Autor:
Tianshi Wang, Dongxin Liu, Shengzhong Liu, Jinyang Li, Tarek Abdelzaher, Shuochao Yao, Huajie Shao
Publikováno v:
GetMobile: Mobile Computing and Communications. 25:39-42
Future mobile and embedded systems will be smarter and more user-friendly. They will perceive the physical environment, understand human context, and interact with end-users in a human-like fashion. Daily objects will be capable of leveraging sensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddce947526bfa76af37e86fe64d481d1
https://doi.org/10.1145/3471440.3471451
https://doi.org/10.1145/3471440.3471451
Publikováno v:
IEEE Transactions on Vehicular Technology. 70:6108-6121
Cell selection is a critical issue in sparse mobile crowdsensing (MCS) systems. However, the sensing cost heterogeneity among different cells (subareas) has long been ignored by existing works. Moreover, the data provided by participants are not alwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02f41981ebbc470182f15e525abc5c1d
https://doi.org/10.1109/tvt.2021.3077112
https://doi.org/10.1109/tvt.2021.3077112
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48e7cc3a14786465a93b0a9b0efabd05
https://doi.org/10.1109/cvpr52688.2022.01865
https://doi.org/10.1109/cvpr52688.2022.01865