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Jize Zhang
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Year
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
942020
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
562017
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
282021
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
222018
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
192018
Duplicate report detection in urban crowdsensing applications for smart city
J Zhang, D Wang
2015 IEEE International Conference on Smart City/SocialCom/SustainCom …, 2015
182015
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
152021
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
152020
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
142020
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
142019
Bayesian model averaging for Kriging regression structure selection
J Zhang, AA Taflanidis
Probabilistic Engineering Mechanics 56, 58-70, 2019
112019
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
112019
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
92021
Leveraging uncertainty from deep learning for trustworthy material discovery workflows
J Zhang, B Kailkhura, TYJ Han
ACS omega 6 (19), 12711-12721, 2021
92021
Evolutionary multi-objective optimization under uncertainty through adaptive Kriging in augmented input space
J Zhang, AA Taflanidis
Journal of Mechanical Design 142 (1), 2020
42020
Bounded regression with Gaussian process projection
J Zhang, L Lin
arXiv preprint arXiv:1810.11881, 2018
42018
Bayesian posterior sampling using a metamodel‐based sequential approach
J Zhang, A Taflanidis
Reliability and Optimization of Structural Systems, 2018
42018
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design
S Liu, B Kailkhura, J Zhang, AM Hiszpanski, E Robertson, D Loveland, ...
arXiv preprint arXiv:2007.08631, 2020
32020
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
32020
Attribution-driven explanation of the deep neural network model via conditional microstructure image synthesis
S Liu, B Kailkhura, J Zhang, AM Hiszpanski, E Robertson, D Loveland, ...
ACS omega 7 (3), 2624-2637, 2022
22022
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