| Mix-n-match: Ensemble and compositional methods for uncertainty calibration in deep learning J Zhang, B Kailkhura, TYJ Han International conference on machine learning, 11117-11128, 2020 | 173 | 2020 |
| Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space J Zhang, AA Taflanidis, JC Medina Computer Methods in Applied Mechanics and Engineering 315, 369-395, 2017 | 69 | 2017 |
| A winning hand: Compressing deep networks can improve out-of-distribution robustness J Diffenderfer, B Bartoldson, S Chaganti, J Zhang, B Kailkhura Advances in neural information processing systems 34, 664-676, 2021 | 57 | 2021 |
| Advances in surrogate modeling for storm surge prediction: storm selection and addressing characteristics related to climate change J Zhang, AA Taflanidis, NC Nadal-Caraballo, JA Melby, F Diop Natural Hazards 94, 1225-1253, 2018 | 43 | 2018 |
| A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage H Tang, P Fu, CS Sherman, J Zhang, X Ju, F Hamon, NA Azzolina, ... International Journal of Greenhouse Gas Control 112, 103488, 2021 | 36 | 2021 |
| Accelerating the rate of discovery: Toward high-repetition-rate HED science T Ma, D Mariscal, R Anirudh, T Bremer, BZ Djordjevic, T Galvin, E Grace, ... Plasma Physics and Controlled Fusion 63 (10), 104003, 2021 | 28 | 2021 |
| Adaptive design of experiments for global Kriging metamodeling through cross-validation information AP Kyprioti, J Zhang, AA Taflanidis Structural and Multidisciplinary Optimization 62, 1135-1157, 2020 | 27 | 2020 |
| Geospatial environments for hurricane risk assessment: applications to situational awareness and resilience planning in New Jersey T Kijewski-Correa, A Taflanidis, C Vardeman, J Sweet, J Zhang, R Snaiki, ... Frontiers in Built Environment 6, 549106, 2020 | 26 | 2020 |
| Adaptive kriging stochastic sampling and density approximation and its application to rare-event estimation J Zhang, AA Taflanidis ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2018 | 26 | 2018 |
| Accelerating MCMC via kriging-based adaptive independent proposals and delayed rejection J Zhang, AA Taflanidis Computer Methods in Applied Mechanics and Engineering 355, 1124-1147, 2019 | 23 | 2019 |
| Duplicate report detection in urban crowdsensing applications for smart city J Zhang, D Wang 2015 IEEE International Conference on Smart City/SocialCom/SustainCom …, 2015 | 18 | 2015 |
| Bayesian model averaging for Kriging regression structure selection J Zhang, AA Taflanidis Probabilistic Engineering Mechanics 56, 58-70, 2019 | 14 | 2019 |
| Multi-objective optimization for design under uncertainty problems through surrogate modeling in augmented input space J Zhang, AA Taflanidis Structural and Multidisciplinary Optimization 59, 351-372, 2019 | 13 | 2019 |
| Leveraging uncertainty from deep learning for trustworthy material discovery workflows J Zhang, B Kailkhura, TYJ Han ACS omega 6 (19), 12711-12721, 2021 | 12 | 2021 |
| Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition J Zhang, AA Taflanidis, JT Scruggs Journal of Computational Physics 408, 109298, 2020 | 9 | 2020 |
| Machine learning applications on air temperature prediction in the urban canopy layer: A critical review of 2011–2022 H Wang, J Yang, G Chen, C Ren, J Zhang Urban Climate 49, 101499, 2023 | 8 | 2023 |
| Evolutionary multi-objective optimization under uncertainty through adaptive Kriging in augmented input space J Zhang, AA Taflanidis Journal of Mechanical Design 142 (1), 011404, 2020 | 7 | 2020 |
| Laminar flow over a rectangular cylinder experiencing torsional flutter: Dynamic response, forces and coherence modes Q Zhu, L Zhou, J Wen, T Liu, J Zhang, H Tang, H Zhang Physics of Fluids 35 (9), 2023 | 6 | 2023 |
| A flexible proton beam imaging energy spectrometer (PROBIES) for high repetition rate or single-shot high energy density (HED) experiments DA Mariscal, BZ Djordjević, R Anirudh, T Bremer, PC Campbell, S Feister, ... Review of Scientific Instruments 94 (2), 2023 | 6 | 2023 |
| Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations E Adeli, J Zhang, AA Taflanidis arXiv preprint arXiv:2111.02823, 2021 | 6 | 2021 |
