Jize Zhang

According to our database, Jize Zhang authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Invertible network for unpaired low-light image enhancement.

Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo

Vis. Comput., January, 2024

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

Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu

CoRR, 2024

2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.

Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu

CoRR, 2023

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

Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu

CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.

Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu

CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.

Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu

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

2021

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

Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney

SIAM J. Math. Data Sci., 2021

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

Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis

CoRR, 2021

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

Hewei Tang, Pengcheng Fu, Christopher S. Sherman, Jize Zhang, Xin Ju, François P. Hamon, Nicholas A. Azzolina, Matthew Burton-Kelly, Joseph P. Morris

CoRR, 2021

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

James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura

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.

Jize Zhang, Alexandros A. Taflanidis, Jeffrey T. Scruggs

J. Comput. Phys., 2020

Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows.

Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han

CoRR, 2020

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

Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han

CoRR, 2020

Actionable Attribution Maps for Scientific Machine Learning.

Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han

CoRR, 2020

Offline state estimation for hybrid systems via nonsmooth variable projection.

Jize Zhang, Andrew M. Pace, Samuel A. Burden, Aleksandr Y. Aravkin

Autom., 2020

Sparse mean-reverting portfolios via penalized likelihood optimization.

Jize Zhang, Tim Leung, Aleksandr Y. Aravkin

Autom., 2020

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

Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer

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.

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.

Jize Zhang, Tim Leung, Aleksandr Y. Aravkin

Proceedings of the 17th European Control Conference, 2019

2018

Mean Reverting Portfolios via Penalized OU-Likelihood Estimation.

Jize Zhang, Tim Leung, Aleksandr Y. Aravkin

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

2016

Puzzling and apuzzling graphs.

Daphne Gold, James M. Henle, Cherry Huang, Tia Lyve, Tara Marin, Jasmine Osorio, Mäneka Puligandla, Bayla Weick, Jing Xia, He Yun, Jize Zhang

AKCE Int. J. Graphs Comb., 2016

2015

Duplicate Report Detection in Urban Crowdsensing Applications for Smart City.

Jize Zhang, Dong Wang

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