Jize Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Dirichlet Prior

Data Assimilation

Top Venues

Reliab. Eng. Syst. Saf.

Publications

Yuchen Xia, Jize Zhang, Nasser Jazdi, Michael Weyrich
Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility. CoRR (2024)
Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. CoRR (2024)
Wenjun Jiang, Xi Zhong, Jize Zhang
TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment. Reliab. Eng. Syst. Saf. 251 (2024)
Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo
Invertible network for unpaired low-light image enhancement. Vis. Comput. 40 (1) (2024)
WoongHee Jung, Alexandros A. Taflanidis, Aikaterini P. Kyprioti, Jize Zhang
Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions. Reliab. Eng. Syst. Saf. 247 (2024)
Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. CoRR (2023)
Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
Pursing the Sparse Limitation of Spiking Deep Learning Structures. CoRR (2023)
Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. CoRR (2023)
Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu
RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. BMVC (2023)
Hewei Tang, Pengcheng Fu, Christopher S. Sherman, Jize Zhang, Xin Ju, François Hamon, Nicholas A. Azzolina, Matthew Burton-Kelly, Joseph P. Morris
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage. CoRR (2021)
James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness. CoRR (2021)
Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations. CoRR (2021)
Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. SIAM J. Math. Data Sci. 3 (4) (2021)
Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo
Invertible Network for Unpaired Low-light Image Enhancement. CoRR (2021)
James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness. NeurIPS (2021)
Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design. CoRR (2020)
Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows. CoRR (2020)
Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
Sparse mean-reverting portfolios via penalized likelihood optimization. Autom. 111 (2020)
Jize Zhang, Alexandros A. Taflanidis, Jeffrey T. Scruggs
Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition. J. Comput. Phys. 408 (2020)
Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning. ICML (2020)
Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning. NeurIPS (2020)
Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning. CoRR (2020)
Jize Zhang, Andrew M. Pace, Samuel A. Burden, Aleksandr Y. Aravkin
Offline state estimation for hybrid systems via nonsmooth variable projection. Autom. 115 (2020)
Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han
Actionable Attribution Maps for Scientific Machine Learning. CoRR (2020)
Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
A Relaxed Optimization Approach for Cardinality-Constrained Portfolios. ECC (2019)
Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
Mean Reverting Portfolios via Penalized OU-Likelihood Estimation. CDC (2018)
Daphne Gold, James M. Henle, Cherry Huang, Tia Lyve, Tara Marin, Jasmine Osorio, Mäneka Puligandla, Bayla Weick, Jing Xia, He Yun, Jize Zhang
Puzzling and apuzzling graphs. AKCE Int. J. Graphs Comb. 13 (1) (2016)
Jize Zhang, Dong Wang
Duplicate Report Detection in Urban Crowdsensing Applications for Smart City. SmartCity (2015)