| Hydrokinetic energy harnessing technologies: A review WI Ibrahim, MR Mohamed, R Ismail, PK Leung, WW Xing, AA Shah Energy Reports 7, 2021 | 58 | 2021 |
| Multi-fidelity Bayesian optimization via deep neural networks S Li, W Xing, R Kirby, S Zhe Advances in Neural Information Processing Systems 33, 8521-8531, 2020 | 51 | 2020 |
| Reduced dimensional Gaussian process emulators of parametrized partial differential equations based on Isomap W Xing, AA Shah, PB Nair Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015 | 46 | 2015 |
| Manifold learning for the emulation of spatial fields from computational models WW Xing, V Triantafyllidis, AA Shah, PB Nair, N Zabaras Journal of Computational Physics 326, 666-690, 2016 | 42 | 2016 |
| Scalable high-order gaussian process regression S Zhe, W Xing, RM Kirby The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 37 | 2019 |
| Patterns of distributive environmental inequity under different PM2. 5 air pollution scenarios for Salt Lake County public schools C Mullen, S Grineski, T Collins, W Xing, R Whitaker, T Sayahi, T Becnel, ... Environmental Research 186, 109543, 2020 | 30 | 2020 |
| Evaluating wildfire smoke transport within a coupled fire‐atmosphere model using a high‐density observation network for an episodic smoke event along Utah's Wasatch Front DV Mallia, AK Kochanski, KE Kelly, R Whitaker, W Xing, LE Mitchell, ... Journal of Geophysical Research: Atmospheres 125 (20), e2020JD032712, 2020 | 26 | 2020 |
| Community-based measurements reveal unseen differences during air pollution episodes KE Kelly, WW Xing, T Sayahi, L Mitchell, T Becnel, PE Gaillardon, ... Environmental science & technology 55 (1), 120-128, 2020 | 25 | 2020 |
| A surrogate modelling approach based on nonlinear dimension reduction for uncertainty quantification in groundwater flow models C Gadd, W Xing, MM Nezhad, AA Shah Transport in porous media 126, 39-77, 2019 | 21 | 2019 |
| Reduced-order modelling of parameter-dependent, linear and nonlinear dynamic partial differential equation models AA Shah, WW Xing, V Triantafyllidis Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017 | 21 | 2017 |
| A new aqueous all-organic flow battery with high cell voltage in acidic electrolytes P Leung, T Martin, Q Xu, C Flox, MR Mohamad, J Palma, ... Applied Energy 282, 116058, 2021 | 15 | 2021 |
| Mission replanning for multiple agile earth observation satellites based on cloud coverage forecasting Y Gu, C Han, Y Chen, WW Xing IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 14 | 2021 |
| Multi-fidelity high-order Gaussian processes for physical simulation Z Wang, W Xing, R Kirby, S Zhe International Conference on Artificial Intelligence and Statistics, 847-855, 2021 | 13 | 2021 |
| Greedy nonlinear autoregression for multifidelity computer models at different scales W Xing, M Razi, RM Kirby, K Sun, AA Shah Energy and AI 1, 100012, 2020 | 13 | 2020 |
| Shared-gaussian process: Learning interpretable shared hidden structure across data spaces for design space analysis and exploration W Xing, SY Elhabian, V Keshavarzzadeh, RM Kirby Journal of Mechanical Design 142 (8), 081707, 2020 | 13 | 2020 |
| Residual Gaussian process: A tractable nonparametric Bayesian emulator for multi-fidelity simulations WW Xing, AA Shah, P Wang, S Zhe, Q Fu, RM Kirby Applied Mathematical Modelling 97, 36-56, 2021 | 12 | 2021 |
| Deep coregionalization for the emulation of simulation-based spatial-temporal fields WW Xing, RM Kirby, S Zhe Journal of Computational Physics 428, 109984, 2021 | 12* | 2021 |
| Physics regularized Gaussian processes Z Wang, W Xing, R Kirby, S Zhe arXiv preprint arXiv:2006.04976, 2020 | 12 | 2020 |
| Physics informed deep kernel learning Z Wang, W Xing, R Kirby, S Zhe International Conference on Artificial Intelligence and Statistics, 1206-1218, 2022 | 9 | 2022 |
| Scalable variational gaussian process regression networks S Li, W Xing, M Kirby, S Zhe arXiv preprint arXiv:2003.11489, 2020 | 9 | 2020 |
Akeel A. ShahChongqing UniversityBestätigte E-Mail-Adresse bei cqu.edu.cn
