Publications

Deep probabilistic modeling of environment-dependent tropical cyclone intensity evolution using Flow generative models  (2025)  ·  Wenjun Jiang, Xi Zhong, Jize Zhang, Ahsan Kareem  ·  Journal of Wind Engineering and Industrial Aerodynamics

SelectSeg: Uncertainty-based selective training and prediction for accurate crack segmentation under limited data and noisy annotations  (2025)  ·  Chen Zhang, Mahdi Bahrami, …, Yantao Yu, Jize Zhang  ·  Reliability Engineering & System Safety

Parallel Multifidelity Design of Experiment Strategy Considering Low-Fidelity Simulation Feasibility  (2025)  ·  Fei Ding, Han Peng, Jize Zhang, Ahsan Kareem  ·  ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework  (2025)  ·  Han Peng, Jize Zhang  ·  Reliability Engineering & System Safety

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models  (2025)  ·  Hao Cheng, Erjia Xiao, …, Jindong Gu, Renjing Xu  ·  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Concrete Damage Identification and Localization for Structural Health Monitoring Based on Piezoelectric Sensors  (2025)  ·  Hongjie Li, Bo Di, …, Hekun Wu, Jize Zhang  ·  Sensors

A theoretically-consistent parallel enrichment strategy for Bayesian active learning reliability analysis  (2025)  ·  Tong Zhou, Tong Guo, …, Masaru Kitahara, Jize Zhang  ·  Computer Methods in Applied Mechanics and Engineering

Adaptive virtual modelling enhanced dynamic and reliability analysis of SGPLRP-MEE plates  (2025)  ·  Luo Bo, Jize Zhang, Kang Gao, Huiying Wang  ·  International Journal of Mechanical Sciences

A state-of-the-art analysis on decomposition method for short-term wind speed forecasting using LSTM and a novel hybrid deep learning model  (2024)  ·  Yang Liang, Dongqin Zhang, Jize Zhang, Gang Hu  ·  Energy

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models  (2024)  ·  Hao Cheng, Erjia Xiao, …, Kaidi Xu, Renjing Xu  ·  European Conference on Computer Vision (ECCV)

A Generative Model of Discrete Fracture Networks Based on Latent Diffusion Model  (2024)  ·  Zheng Teng, Hui Wu, Jize Zhang, Xin Ju  ·  International Geomechanics Conference

TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment  (2024)  ·  Wenjun Jiang, Xi Zhong, Jize Zhang  ·  Reliability Engineering & System Safety

Surge-NF: Neural Fields inspired peak storm surge surrogate modeling with multi-task learning and positional encoding  (2024)  ·  Wenjun Jiang, Xi Zhong, Jize Zhang  ·  Coastal Engineering

Time series forecasting of pedestrian-level urban air temperature by LSTM: Guidance for practitioners  (2024)  ·  Han Wang, Jize Zhang, Jiachuan Yang  ·  Urban Climate

TC-SINDy: Improving physics-based deterministic tropical cyclone track and intensity model via data-driven sparse identification of Nonlinear Dynamics  (2024)  ·  Xi Zhong, Wenjun Jiang, Jize Zhang  ·  Journal of Wind Engineering and Industrial Aerodynamics

Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions  (2024)  ·  WoongHee Jung, Alexandros A. Taflanidis, Aikaterini P. Kyprioti, Jize Zhang  ·  Reliability Engineering & System Safety

Advancing storm surge forecasting from scarce observation data: A causal-inference based Spatio-Temporal Graph Neural Network approach  (2024)  ·  Wenjun Jiang, Jize Zhang, …, Huanxiang Gao, Zhongdong Duan  ·  Coastal Engineering

Advanced virtual modelling aided stochastic nonlinear dynamic stability analysis of the GPLR-FGP plate in thermal environments  (2024)  ·  Luo Bo, Jize Zhang, Huiying Wang  ·  Thin-Walled Structures

Bilevel optimization of non-uniform offshore wind farm layout and cable routing for the refined LCOE using an enhanced PSO  (2024)  ·  Dongqin Zhang, Zhenqing Liu, …, Jize Zhang, Gang Hu  ·  Ocean Engineering

Numerical study of dynamic amplification factor and characteristic wind curves of high-speed train in tornado-like vortices  (2024)  ·  Dongqin Zhang, Bo Liu, …, Jize Zhang, Gang Hu  ·  Journal of Wind Engineering and Industrial Aerodynamics

Fluid-structure interaction analysis of wind turbine aerodynamic loads and aeroelastic responses considering blade and tower flexibility  (2024)  ·  Dongqin Zhang, Zhenqing Liu, …, Ling Cheng, Gang Hu  ·  Engineering Structures

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models  (2024)  ·  Hao Cheng, Erjia Xiao, …, Jindong Gu, Renjing Xu  ·  arXiv

Laminar flow over a rectangular cylinder experiencing torsional flutter: Dynamic response, forces and coherence modes  (2023)  ·  Qingchi Zhu, Lei Zhou, …, Hui Tang, Hongfu Zhang  ·  Physics of Fluids

Machine learning applications on air temperature prediction in the urban canopy layer: A critical review of 2011–2022  (2023)  ·  Han Wang, Jiachuan Yang, …, Chao Ren, Jize Zhang  ·  Urban Climate

A flexible proton beam imaging energy spectrometer (PROBIES) for high repetition rate or single-shot high energy density (HED) experiments (invited)  (2023)  ·  D. A. Mariscal, B. Z. Djordjević, …, J. Zhang, T. Ma  ·  Review of Scientific Instruments

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias  (2023)  ·  Hao Cheng, Jinhao Duan, …, Kaidi Xu, Renjing Xu  ·  The British Machine Vision Conference (BMVC)

Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image Synthesis  (2022)  ·  Shusen Liu, Bhavya Kailkhura, …, Xiaoting Zhong, T. Yong-Jin Han  ·  ACS Omega

A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage  (2021)  ·  Hewei Tang, Pengcheng Fu, …, Matthew Burton-Kelly, Joseph P. Morris  ·  International Journal of Greenhouse Gas Control

Accelerating the rate of discovery: toward high-repetition-rate HED science  (2021)  ·  T Ma, D Mariscal, …, M C Herrmann, C Haefner  ·  Plasma Physics and Controlled Fusion

Leveraging Uncertainty from Deep Learning for Trustworthy Material Discovery Workflows  (2021)  ·  Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han  ·  ACS Omega

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data  (2021)  ·  Qunwei Li, Bhavya Kailkhura, …, T Yong-Jin Han, Pramod K Varshney  ·  SIAM Journal on Mathematics of Data Science

Inferring fracture aperture distribution at the EGS Collab Experiment 1 testbed through a deep learning accelerated Bayesian approach  (2021)  ·  Hui Wu, Jize Zhang, …, Joseph P Morris, the EGS Collab Team  ·  46th Workshop on Geothermal Reservoir Engineering

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

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness  (2021)  ·  James Diffenderfer, Brian R. Bartoldson, …, Jize Zhang, Bhavya Kailkhura  ·  Advances in Neural Information Processing Systems (NeurIPS)

Geospatial Environments for Hurricane Risk Assessment: Applications to Situational Awareness and Resilience Planning in New Jersey  (2020)  ·  Tracy Kijewski-Correa, Alexandros Taflanidis, …, Zachariah Silver, Andrew Kennedy  ·  Frontiers in Built Environment

Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition  (2020)  ·  Jize Zhang, Alexandros A. Taflanidis, Jeffrey T. Scruggs  ·  Journal of Computational Physics

Adaptive design of experiments for global Kriging metamodeling through cross-validation information  (2020)  ·  Aikaterini P. Kyprioti, Jize Zhang, Alexandros A. Taflanidis  ·  Structural and Multidisciplinary Optimization

Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning  (2020)  ·  Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han  ·  International Conference on Machine Learning (ICML)

Interpretation of tracer data using a Markov chain Monte Carlo approach for the characterization of the EGS Collab testbed  (2020)  ·  Hui Wu, Pengcheng Fu, Jize Zhang, Joseph P Morris  ·  54th U.S. Rock Mechanics/Geomechanics Symposium

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design  (2020)  ·  Shusen Liu, Bhavya Kailkhura, …, Donald Loveland, T. Yong-Jin Han  ·  arXiv

Developments in storm surge estimation using surrogate modeling techniques  (2020)  ·  Alexandros Taflanidis, Jize Zhang, …, Andrew Kennedy, Tracy Kijewksi-Correa  ·  Coastal Engineering Proceedings

A statistical mechanics framework for task-agnostic sample design in machine learning  (2020)  ·  Bhavya Kailkhura, Jayaraman Thiagarajan, …, Yi Zhou, Timo Bremer  ·  Advances in Neural Information Processing Systems (NeurIPS)

Evolutionary Multi-Objective Optimization Under Uncertainty Through Adaptive Kriging in Augmented Input Space  (2019)  ·  J. Zhang, A. A. Taflanidis  ·  Journal of Mechanical Design

Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection  (2019)  ·  Jize Zhang, Alexandros A. Taflanidis  ·  Computer Methods in Applied Mechanics and Engineering

Applications of Reduced Order and Surrogate Modeling in Structural Dynamics  (2019)  ·  Alexandros A. Taflanidis, Jize Zhang, Dimitris Patsialis  ·  IMAC, A Conference and Exposition on Structural Dynamics

Bayesian model averaging for Kriging regression structure selection  (2019)  ·  J. Zhang, A.A. Taflanidis  ·  Probabilistic Engineering Mechanics

Multi-objective optimization for design under uncertainty problems through surrogate modeling in augmented input space  (2018)  ·  J. Zhang, A. A. Taflanidis  ·  Structural and Multidisciplinary Optimization

Advances in surrogate modeling for storm surge prediction: storm selection and addressing characteristics related to climate change  (2018)  ·  Jize Zhang, Alexandros A. Taflanidis, …, Jeffrey A. Melby, Fatimata Diop  ·  Natural Hazards

Adaptive Kriging Stochastic Sampling and Density Approximation and Its Application to Rare-Event Estimation  (2018)  ·  Jize Zhang, Alexandros A. Taflanidis  ·  ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Bounded Regression with Gaussian Process Projection  (2018)  ·  Jize Zhang, Lizhen Lin  ·  arXiv

Bayesian posterior sampling using a metamodel-based sequential approach  (2018)  ·  Jize Zhang  ·  19th IFIP WG-7.5 conference on Reliability and Optimization of Structural Systems

Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space  (2017)  ·  J. Zhang, A.A. Taflanidis, J.C. Medina  ·  Computer Methods in Applied Mechanics and Engineering

Duplicate Report Detection in Urban Crowdsensing Applications for Smart City  (2015)  ·  Jize Zhang, Dong Wang  ·  2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)