Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Zuogong Yue"'
Autor:
Stefano Magni, Rucha Sawlekar, Christophe M. Capelle, Vera Tslaf, Alexandre Baron, Ni Zeng, Laurent Mombaerts, Zuogong Yue, Ye Yuan, Feng Q. Hefeng, Jorge Gonçalves
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract The discovery of upstream regulatory genes of a gene of interest still remains challenging. Here we applied a scalable computational method to unbiasedly predict candidate regulatory genes of critical transcription factors by searching the w
Externí odkaz:
https://doaj.org/article/ed7e7d476a09458eb90fc0009e2c3a12
Autor:
Yasen Wang, Huazhen Fang, Junyang Jin, Guijun Ma, Xin He, Xing Dai, Zuogong Yue, Cheng Cheng, Hai-Tao Zhang, Donglin Pu, Dongrui Wu, Ye Yuan, Jorge Gonçalves, Jürgen Kurths, Han Ding
Publikováno v:
Engineering, Vol 17, Iss , Pp 244-252 (2022)
Stochastic differential equations (SDEs) are mathematical models that are widely used to describe complex processes or phenomena perturbed by random noise from different sources. The identification of SDEs governing a system is often a challenge beca
Externí odkaz:
https://doaj.org/article/b4483c2ac5e647699987f83fec44a949
Autor:
Zuogong Yue, Jingyu Yang
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:7624-7635
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::229affe776c904fa3593acf1586a972f
https://doi.org/10.1109/tii.2022.3216006
https://doi.org/10.1109/tii.2022.3216006
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:5995-6005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::036b6899de746de0dff292c693bad821
https://doi.org/10.1109/tii.2022.3200428
https://doi.org/10.1109/tii.2022.3200428
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::365b4dee6743ac283afda4d8d9f87ff7
https://doi.org/10.1109/ccdc55256.2022.10033478
https://doi.org/10.1109/ccdc55256.2022.10033478
Publikováno v:
Chemistry of Materials. 33:1276-1284
High-modulus materials that yield small elastic deformation under mechanical loads hold great promise for use in a wide range of engineering applications. However, the discovery and understanding o...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af42b2a8e23ef9cbe1840740cb394548
https://doi.org/10.1021/acs.chemmater.0c04146
https://doi.org/10.1021/acs.chemmater.0c04146
Low sampling frequency challenges the exact identification of the continuous-time (CT) dynamical system from sampled data, even when its model is identifiable. The necessary and sufficient condition is proposed -- which is built from Koopman operator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a3e662b40f64b9c178e6ab8520c2d7
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c2143db916919c220316cc56106bafd
https://doi.org/10.1109/cdc45484.2021.9683493
https://doi.org/10.1109/cdc45484.2021.9683493
Autor:
Victor Solo, Zuogong Yue
Publikováno v:
ICASSP
Attention has turned in recently to clustering of collections networks where each network is characterized by a sparse inverse covariance matrix. Here we consider a mixture model of sparse Gaussian graphical models and develop an exact EM algorithm t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae63bda410f18d8e12d2d538a6aebd9e
https://doi.org/10.1109/icassp39728.2021.9415068
https://doi.org/10.1109/icassp39728.2021.9415068
This paper addresses reconstruction of linear dynamic networks from heterogeneous datasets. Those datasets consist of measurements from linear dynamical systems in multiple experiments subjected to different experimental conditions, e.g., changes/per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35d93a37d15a7f116902d358ecf44b2d