Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Hanlin Gu"'
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 14:1-35
In a federated learning scenario where multiple parties jointly learn a model from their respective data, there exist two conflicting goals for the choice of appropriate algorithms. On one hand, private and sensitive training data must be kept secure
Publikováno v:
Physical Chemistry Chemical Physics. 24:1462-1474
The Markov State Model (MSM) is a powerful tool for modeling long timescale dynamics based on numerous short molecular dynamics (MD) simulation trajectories, which makes it a useful tool for elucidating the conformational changes of biological macrom
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333767
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::071d83891b5aff8b2ba281211388cc69
https://doi.org/10.1007/978-3-031-33377-4_32
https://doi.org/10.1007/978-3-031-33377-4_32
Autor:
Eckhard Quandt, Hanlin Gu, Richard D. James, Lorenz Kienle, Jascha Rohmer, Justin Jetter, Andriy Lotnyk
Publikováno v:
Nature. 599:416-420
The systematic tuning of crystal lattice parameters to achieve improved kinematic compatibility between different phases is a broadly effective strategy for improving the reversibility, and lowering the hysteresis, of solid–solid phase transformati
Publikováno v:
Digital Watermarking for Machine Learning Model ISBN: 9789811975530
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd188de4b91b7f056b3a5e794f57e754
https://doi.org/10.1007/978-981-19-7554-7_11
https://doi.org/10.1007/978-981-19-7554-7_11
Publikováno v:
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030030094
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030986605
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030986605
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e27e328191e09d81d51e2f952e8afcc
https://doi.org/10.1007/978-3-030-03009-4_126-1
https://doi.org/10.1007/978-3-030-03009-4_126-1
Autor:
Wei Wang, Zeng W, Ilona Christy Unarta, Hanlin Gu, Peter Pak-Hang Cheung, Yuan Yao, Fu Kit Sheong, Xuhui Huang, Siyuan Liu
Cryogenic Electron Microscopy (cryo-EM) preserves the ensemble of protein conformations in solution and thus provide a promising way to characterize conformational changes underlying protein functions. However, it remains challenging for existing sof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8e84c535dbafc7cc3ff02a6fe126fed
https://doi.org/10.1101/2021.05.27.446075
https://doi.org/10.1101/2021.05.27.446075
Autor:
Junchao Ma, Zhe Wu, Ke Sun, Chenxu Wang, Chengyu Lu, Yilei Gu, Jianing Liu, Chengzhi Zhu, Hanlin Guo, Zheren Zhang, Zheng Xu
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Grid-forming control is a promising solution for renewable power integration. This work presents a variable pairing scheme for the voltage controller of V/f controlled modular multilevel converter in an islanded network with a synchronous machine, wh
Externí odkaz:
https://doaj.org/article/2c75924cc75f43968119e289b796716f
The cryo-electron microscopy (Cryo-EM) becomes popular for macromolecular structure determination. However, the 2D images which Cryo-EM detects are of high noise and often mixed with multiple heterogeneous conformations and contamination, imposing a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bac5153372ccf34d58b3d51a2c0747c
https://doi.org/10.21203/rs.3.rs-139567/v1
https://doi.org/10.21203/rs.3.rs-139567/v1
Contrary to the dislocation-driven ‘smaller-is-stronger’ size-effect in nanocrystals, the size-dependence of strength in deformation twinning, another carrier of plasticity, still lacks universal understanding. Deformation twinning enables pseudo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abae1019824a3ae7e4b70a1d525a3326
https://resolver.caltech.edu/CaltechAUTHORS:20201208-105037703
https://resolver.caltech.edu/CaltechAUTHORS:20201208-105037703