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Xiaobiao Huang
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2020 – today
- 2021
- [j3]Zhe Zhang, Xiaobiao Huang, Minghao Song:
Teeport: Break the Wall Between the Optimization Algorithms and Problems. Frontiers Big Data 4: 734650 (2021) - [j2]Zhe Zhang
, Minghao Song
Online accelerator optimization with a machine learning-based stochastic algorithm. Mach. Learn. Sci. Technol. 2(1): 15014 (2021) - 2020
- [i4]Adi Hanuka, Xiaobiao Huang, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, V. R. Lalchand, Daniel Ratner, Joseph Duris:
Physics-informed Gaussian Process for Online Optimization of Particle Accelerators. CoRR abs/2009.03566 (2020)
2010 – 2019
- 2019
- [i3]Xiaobiao Huang:
Multi-objective multi-generation Gaussian process optimizer for design optimization. CoRR abs/1907.00250 (2019) - [i2]Faya Wang, Minghao Song, Auralee Edelen, Xiaobiao Huang:
Machine learning for design optimization of storage ring nonlinear dynamics. CoRR abs/1910.14220 (2019) - [i1]Adi Hanuka, Joseph Duris, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, Daniel Ratner, Xiaobiao Huang:
Online tuning and light source control using a physics-informed Gaussian process Adi. CoRR abs/1911.01538 (2019) - 2018
- [j1]Alexander Scheinker
Minimization of Betatron Oscillations of Electron Beam Injected Into a Time-Varying Lattice via Extremum Seeking. IEEE Trans. Control. Syst. Technol. 26(1): 336-343 (2018)
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