Duplicate Report Detection in Urban Crowdsensing Applications for Smart City. - Jize Zhang; Dong Wang (SmartCity, 2015)

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)

Mean Reverting Portfolios via Penalized OU-Likelihood Estimation. - Jize Zhang; Tim Leung; Aleksandr Y. Aravkin (CDC, 2018)

A Relaxed Optimization Approach for Cardinality-Constrained Portfolios. - Jize Zhang; Tim Leung; Aleksandr Y. Aravkin (ECC, 2019)

Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning. - Jize Zhang; Bhavya Kailkhura; Thomas Yong-Jin Han (ICML, 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 (NeurIPS, 2020)

Sparse mean-reverting portfolios via penalized likelihood optimization. - Jize Zhang; Tim Leung; Aleksandr Y. Aravkin (Autom., 2020)

Offline state estimation for hybrid systems via nonsmooth variable projection. - Jize Zhang; Andrew M. Pace; Samuel A. Burden; Aleksandr Y. Aravkin (Autom., 2020)

Actionable Attribution Maps for Scientific Machine Learning. - Shusen Liu 001; Bhavya Kailkhura; Jize Zhang; Anna M. Hiszpanski; Emily Robertson; Donald Loveland; Thomas Yong-Jin Han (CoRR, 2020)

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design. - Shusen Liu 001; Bhavya Kailkhura; Jize Zhang; Anna M. Hiszpanski; Emily Robertson; Donald Loveland; Thomas Yong-Jin Han (CoRR, 2020)

Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows. - Jize Zhang; Bhavya Kailkhura; Thomas Yong-Jin Han (CoRR, 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)

A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness. - James Diffenderfer; Brian R. Bartoldson; Shreya Chaganti; Jize Zhang; Bhavya Kailkhura (NeurIPS, 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)

Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations. - Ehsan Adeli 003; Jize Zhang; Alexandros A. Taflanidis (CoRR, 2021)

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. - Qunwei Li; Bhavya Kailkhura; Rushil Anirudh; Jize Zhang; Yi Zhou 017; Yingbin Liang; Thomas Yong-Jin Han; Pramod K. Varshney (SIAM J. Math. Data Sci., 2021)

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. - Hao Cheng 015; Jinhao Duan; Hui Li; Jiahang Cao; Ping Wang; Lyutianyang Zhang; Jize Zhang; Kaidi Xu; Renjing Xu (BMVC, 2023)

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. - Hao Cheng 015; Jinhao Duan; Hui Li; Lyutianyang Zhang; Jiahang Cao; Ping Wang; Jize Zhang; Kaidi Xu; Renjing Xu (CoRR, 2023)

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Pu Zhao 001; Mengshu Sun; Jiaxu Wang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

Pursing the Sparse Limitation of Spiking Deep Learning Structures. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Mengshu Sun; Le Yang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. - Hao Cheng 015; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (ECCV (59), 2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. - Hao Cheng 015; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (CoRR, 2024)

Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility. - Yuchen Xia; Jize Zhang; Nasser Jazdi; Michael Weyrich (CoRR, 2024)

Control Industrial Automation System with Large Language Models. - Yuchen Xia; Nasser Jazdi; Jize Zhang; Chaitanya Shah; Michael Weyrich (CoRR, 2024)

Uncovering Vision Modality Threats in Image-to-Image Tasks. - Hao Cheng 015; Erjia Xiao; Jiayan Yang; Jiahang Cao; Qiang Zhang 029; Jize Zhang; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment. - Wenjun Jiang; Xi Zhong; Jize Zhang (Reliab. Eng. Syst. Saf., 2024)

Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions. - WoongHee Jung; Alexandros A. Taflanidis; Aikaterini P. Kyprioti; Jize Zhang (Reliab. Eng. Syst. Saf., 2024)

Invertible network for unpaired low-light image enhancement. - Jize Zhang; Haolin Wang; Xiaohe Wu; Wangmeng Zuo (Vis. Comput., 2024)

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models. - Hao Cheng; Erjia Xiao; Jiayan Yang; Jiahang Cao; Qiang Zhang; Jize Zhang; Kaidi Xu; Jindong Gu; Renjing Xu (CVPR, 2025)

Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework. - Han Peng; Jize Zhang (Reliab. Eng. Syst. Saf., 2025)

SelectSeg: Uncertainty-based selective training and prediction for accurate crack segmentation under limited data and noisy annotations. - Chen Zhang; Mahdi Bahrami; Dhanada K. Mishra; Matthew M. F. Yuen; Yantao Yu; Jize Zhang (Reliab. Eng. Syst. Saf., 2025)

iCE-NGM: Improved cross-entropy importance sampling with non-parametric adaptive Gaussian mixtures and budget-informed stopping criterion. - Tianyu Zhang; Jize Zhang (Reliab. Eng. Syst. Saf., 2025)