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Jiaxin Zhang
Jiaxin Zhang
Intuit AI Research; Oak Ridge National Lab; Johns Hopkins University
Verified email at intuit.com - Homepage
Title
Cited by
Cited by
Year
The generalization of Latin hypercube sampling
MD Shields, J Zhang
Reliability Engineering & System Safety 148, 96-108, 2016
5022016
Benchmarking graph neural networks for materials chemistry
V Fung, J Zhang, E Juarez, B Sumpter
npj Computational Materials, 2021
2222021
Machine learning for high-entropy alloys: Progress, challenges and opportunities
X Liu, J Zhang, Z Pei
Progress in Materials Science 131, 101018, 2023
1852023
Modern Monte Carlo Methods for Efficient Uncertainty Quantification and Propagation: A Survey
J Zhang
Wiley Interdisciplinary Reviews: Computational Statistics, 2020
1352020
Simulation intelligence: Towards a new generation of scientific methods
A Lavin, D Krakauer, H Zenil, J Gottschlich, T Mattson, J Brehmer, ...
arXiv preprint arXiv:2112.03235, 2021
1332021
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
Z Li, J Zhang, L Liu, J Liu
CVPR 2022, 2022
1232022
On the quantification and efficient propagation of imprecise probabilities resulting from small datasets
J Zhang, MD Shields
Mechanical Systems and Signal Processing 98, 465-483, 2018
1062018
Robust data-driven approach for predicting the configurational energy of high entropy alloys
J Zhang, X Liu, S Bi, J Yin, G Zhang, M Eisenbach
Materials & Design 185, 108247, 2020
752020
Transfer learning based variable-fidelity surrogate model for shell buckling prediction
K Tian, Z Li, J Zhang, L Huang, B Wang
Composite Structures 273, 114285, 2021
712021
Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: a data-driven approach
X Liu, J Zhang, J Yin, S Bi, M Eisenbach, Y Wang
Computational Materials Science 187, 110135, 2021
632021
Optimum design of hierarchical stiffened shells for low imperfection sensitivity
B Wang, P Hao, G Li, JX Zhang, KF Du, K Tian, XJ Wang, XH Tang
Acta Mechanica Sinica 30 (3), 391-402, 2014
572014
Learning nonlinear level sets for dimensionality reduction in function approximation
G Zhang, J Zhang, J Hinkle
NeurIPS 2019, 2019
48*2019
Tailoring the optimal load-carrying efficiency of hierarchical stiffened shells by competitive sampling
K Tian, B Wang, K Zhang, J Zhang, P Hao, Y Wu
Thin-Walled Structures 133, 216-225, 2018
432018
The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets
J Zhang, MD Shields
Computer Methods in Applied Mechanics and Engineering 334 (1), 483-506, 2018
432018
Inverse design of two-dimensional materials with invertible neural networks
V Fung, J Zhang, G Hu, P Ganesh, BG Sumpter
npj Computational Materials 7 (1), 200, 2021
362021
Design Optimization of Connection Section for Concentrated Force Diffusion
J Zhang, B Wang, F Niu, G Cheng
Mechanics Based Design of Structures and Machines: An International Journal, 2015
302015
Toward the robust establishment of variable-fidelity surrogate models for hierarchical stiffened shells by two-step adaptive updating approach
K Tian, Z Li, X Ma, H Zhao, J Zhang, B Wang
Structural and Multidisciplinary Optimization 61, 1515-1528, 2020
292020
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
J Zhang, Z Li, K Das, BA Malin, S Kumar
EMNLP 2023, 2023
28*2023
A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics
J Zhang, S Bi, G Zhang
Materials & Design, 2021
282021
Efficient Monte Carlo resampling for probability measure changes from Bayesian updating
J Zhang, MD Shields
Probabilistic Engineering Mechanics 55, 54-66, 2019
27*2019
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