Jize Zhang

Orcid: 0000-0002-0553-3979

According to our database¹, Jize Zhang authored at least 32 papers between 2015 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

iCE-NGM: Improved cross-entropy importance sampling with non-parametric adaptive Gaussian mixtures and budget-informed stopping criterion.

[BibT_eX]

[DOI]

Tianyu Zhang

Jize Zhang

Reliab. Eng. Syst. Saf., 2025

SelectSeg: Uncertainty-based selective training and prediction for accurate crack segmentation under limited data and noisy annotations.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2025

Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework.

[BibT_eX]

[DOI]

Han Peng

Jize Zhang

Reliab. Eng. Syst. Saf., 2025

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Invertible network for unpaired low-light image enhancement.

[BibT_eX]

[DOI]

Vis. Comput., January, 2024

Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions.

[BibT_eX]

[DOI]

WoongHee Jung

Alexandros A. Taflanidis

Aikaterini P. Kyprioti

Jize Zhang

Reliab. Eng. Syst. Saf., 2024

TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment.

[BibT_eX]

[DOI]

Wenjun Jiang

Xi Zhong

Jize Zhang

Reliab. Eng. Syst. Saf., 2024

Uncovering Vision Modality Threats in Image-to-Image Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

Control Industrial Automation System with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility.

[BibT_eX]

[DOI]

CoRR, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.

[BibT_eX]

[DOI]

CoRR, 2023

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.

[BibT_eX]

[DOI]

CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.

[BibT_eX]

[DOI]

CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2021

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2021

Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations.

[BibT_eX]

[DOI]

Ehsan Adeli

Jize Zhang

Alexandros A. Taflanidis

CoRR, 2021

A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage.

[BibT_eX]

[DOI]

Hewei Tang

Pengcheng Fu

Christopher S. Sherman

CoRR, 2021

A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jize Zhang

Alexandros A. Taflanidis

Jeffrey T. Scruggs

J. Comput. Phys., 2020

Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows.

[BibT_eX]

[DOI]

Jize Zhang

Bhavya Kailkhura

Thomas Yong-Jin Han

CoRR, 2020

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.

[BibT_eX]

[DOI]

CoRR, 2020

Actionable Attribution Maps for Scientific Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Offline state estimation for hybrid systems via nonsmooth variable projection.

[BibT_eX]

[DOI]

Autom., 2020

Sparse mean-reverting portfolios via penalized likelihood optimization.

[BibT_eX]

[DOI]

Jize Zhang

Tim Leung

Aleksandr Y. Aravkin

Autom., 2020

A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning.

[BibT_eX]

[DOI]

Bhavya Kailkhura

Jayaraman J. Thiagarajan

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.

[BibT_eX]

[DOI]

Jize Zhang

Bhavya Kailkhura

Thomas Yong-Jin Han

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Relaxed Optimization Approach for Cardinality-Constrained Portfolios.

[BibT_eX]

[DOI]

Jize Zhang

Tim Leung

Aleksandr Y. Aravkin

Proceedings of the 17th European Control Conference, 2019

2018

Mean Reverting Portfolios via Penalized OU-Likelihood Estimation.

[BibT_eX]

[DOI]

Jize Zhang

Tim Leung

Aleksandr Y. Aravkin

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016

Puzzling and apuzzling graphs.

[BibT_eX]

[DOI]

AKCE Int. J. Graphs Comb., 2016

2015

Duplicate Report Detection in Urban Crowdsensing Applications for Smart City.

[BibT_eX]

[DOI]

Jize Zhang

Dong Wang

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Jize Zhang

Timeline

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