Jize Zhang

39 papers A* 4A 1C 1Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reliable building inventory imputation for regional-scale risk assessment: An uncertainty-guided framework using spatially-enhanced Transformers.
Reliab. Eng. Syst. Saf.
Zihao Song, Wenjun Jiang, Sang-ri Yi, Jize Zhang
2025 C conf
Control Industrial Automation System with Large Language Model Agents.
ETFA
Yuchen Xia, Nasser Jazdi, Jize Zhang, Chaitanya Shah, Michael Weyrich
2025 J jnl
Efficient unsupervised domain adaptation for crack segmentation with interpretable Fourier- Morphology blending and Uncertainty-guided self-training.
Comput. Aided Civ. Infrastructure Eng.
Saheli Bhattacharya, Chen Zhang, Dhanada K. Mishra, Matthew M. F. Yuen, Jize Zhang
2025 J jnl
Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework.
Reliab. Eng. Syst. Saf.
Han Peng, Jize Zhang
2025 J jnl
Investigation of TWIP/TRIP Effects in the CrCoNiFe System Using a High-Throughput CALPHAD Approach.
Comput. Mater. Continua
Jize Zhang, T. P. C. Klaver, Songge Yang, Brajendra Mishra, Yu Zhong
2025 A* conf
Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models.
CVPR
Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu
2025 J jnl
SelectSeg: Uncertainty-based selective training and prediction for accurate crack segmentation under limited data and noisy annotations.
Reliab. Eng. Syst. Saf.
Chen Zhang, Mahdi Bahrami, Dhanada K. Mishra, Matthew M. F. Yuen, Yantao Yu, Jize Zhang
2025 J jnl
iCE-NGM: Improved cross-entropy importance sampling with non-parametric adaptive Gaussian mixtures and budget-informed stopping criterion.
Reliab. Eng. Syst. Saf.
Tianyu Zhang, Jize Zhang
2024 J jnl
Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions.
Reliab. Eng. Syst. Saf.
WoongHee Jung, Alexandros A. Taflanidis, Aikaterini P. Kyprioti, Jize Zhang
2024 J jnl
Control Industrial Automation System with Large Language Models.
CoRR
Yuchen Xia, Nasser Jazdi, Jize Zhang, Chaitanya Shah, Michael Weyrich
2024 J jnl
Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility.
CoRR
Yuchen Xia, Jize Zhang, Nasser Jazdi, Michael Weyrich
2024 J jnl
Invertible network for unpaired low-light image enhancement.
Vis. Comput.
Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo
2024 J jnl
TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment.
Reliab. Eng. Syst. Saf.
Wenjun Jiang, Xi Zhong, Jize Zhang
2024 J jnl
Uncovering Vision Modality Threats in Image-to-Image Tasks.
CoRR
Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu
2024 J jnl
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.
CoRR
Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu
2024 — conf
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models.
ECCV (59)
Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu
2023 J jnl
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.
CoRR
Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
2023 J jnl
Pursing the Sparse Limitation of Spiking Deep Learning Structures.
CoRR
Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
2023 J jnl
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.
CoRR
Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu
2023 A conf
RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.
BMVC
Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu
2021 J jnl
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage.
CoRR
Hewei Tang, Pengcheng Fu, Christopher S. Sherman, Jize Zhang, Xin Ju, François P. Hamon, Nicholas A. Azzolina, Matthew Burton-Kelly, Joseph P. Morris
2021 J jnl
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness.
CoRR
James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura
2021 A* conf
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness.
NeurIPS
James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura
2021 J jnl
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations.
CoRR
Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis
2021 J jnl
Invertible Network for Unpaired Low-light Image Enhancement.
CoRR
Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo
2021 J jnl
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.
SIAM J. Math. Data Sci.
Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney
2020 A* conf
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning.
NeurIPS
Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer
2020 J jnl
Actionable Attribution Maps for Scientific Machine Learning.
CoRR
Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han
2020 J jnl
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.
CoRR
Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han
2020 J jnl
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows.
CoRR
Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han
2020 A* conf
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning.
ICML
Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han
2020 J jnl
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning.
CoRR
Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han
2020 J jnl
Offline state estimation for hybrid systems via nonsmooth variable projection.
Autom.
Jize Zhang, Andrew M. Pace, Samuel A. Burden, Aleksandr Y. Aravkin
2020 J jnl
Sparse mean-reverting portfolios via penalized likelihood optimization.
Autom.
Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
2020 J jnl
Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition.
J. Comput. Phys.
Jize Zhang, Alexandros A. Taflanidis, Jeffrey T. Scruggs
2019 — conf
A Relaxed Optimization Approach for Cardinality-Constrained Portfolios.
ECC
Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
2018 — conf
Mean Reverting Portfolios via Penalized OU-Likelihood Estimation.
CDC
Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
2016 J jnl
Puzzling and apuzzling graphs.
AKCE Int. J. Graphs Comb.
Daphne Gold, James M. Henle, Cherry Huang, Tia Lyve, Tara Marin, Jasmine Osorio, Mäneka Puligandla, Bayla Weick, Jing Xia, He Yun, Jize Zhang
2015 — conf
Duplicate Report Detection in Urban Crowdsensing Applications for Smart City.
SmartCity
Jize Zhang, Dong Wang