Jize Zhang
Orcid: 0000-0002-0553-3979
According to our database1,
Jize Zhang
authored at least 25 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Vis. Comput., January, 2024
Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions.
Reliab. Eng. Syst. Saf., 2024
TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment.
Reliab. Eng. Syst. Saf., 2024
Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility.
CoRR, 2024
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.
CoRR, 2024
2023
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.
CoRR, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2021
SIAM J. Math. Data Sci., 2021
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations.
CoRR, 2021
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage.
CoRR, 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition.
J. Comput. Phys., 2020
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows.
CoRR, 2020
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.
CoRR, 2020
Autom., 2020
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the 17th European Control Conference, 2019
2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2016
2015
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015