PhD, University of Notre Dame
J. Diffenderfer, B.R. Bartoldson, S. Chaganti, J. Zhang, and B. Kailkhura. A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness. 35th Annual Conference on Neural Information Processing Systems (NeurIPS), 2021.
J. Zhang, B. Kailkhura and T. Han. Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning. 37th International Conference on Machine Learning (ICML), 2020.
J. Zhang, A.A. Taflanidis and J.T. Scruggs. Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition, Journal of Computational Physics, 408, 109298, 2020.
J. Zhang, A.A. Taflanidis, N.C. Nadal-Caraballo, J.A. Melby and F. Diop. Advances in surrogate modeling for storm surge prediction: storm selection and addressing characteristics related to climate change. Natural Hazards, 94(3), 1225-1253, 2018.
J. Zhang, A.A. Taflanidis and J.C. Medina. Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space. Computer Methods in Applied Mechanics and Engineering, 315, 369-395, 2017.