Shengze Cai

According to our database, Shengze Cai authored at least 20 papers between 2017 and 2025.

Collaborative distances:

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

2025

PIDNODEs: Neural ordinary differential equations inspired by a proportional-integral-derivative controller.

Pengkai Wang, Song Chen, Jiaxu Liu, Shengze Cai, Chao Xu

Neurocomputing, 2025

2024

Neural Observer With Lyapunov Stability Guarantee for Uncertain Nonlinear Systems.

Song Chen, Shengze Cai, Tehuan Chen, Chao Xu, Jian Chu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Physics-Informed Neural Networks Enhanced Particle Tracking Velocimetry: An Example for Turbulent Jet Flow.

Shengze Cai, Callum Gray, George Em Karniadakis

IEEE Trans. Instrum. Meas., 2024

LAFlowNet: A dynamic graph method for the prediction of velocity and pressure fields in left atrium and left atrial appendage.

Xiaoyu Liu, Hongtao Lin, Xingli Liu, Jianghong Qian, Shengze Cai, Hongguang Fan, Qi Gao

Eng. Appl. Artif. Intell., 2024

PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction.

Siming Shan, Pengkai Wang, Song Chen, Jiaxu Liu, Chao Xu, Shengze Cai

CoRR, 2024

2023

A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage.

Qi Gao, Hongtao Lin, Jianghong Qian, Xingli Liu, Shengze Cai, He Li, Hongguang Fan, Zhe Zheng

Eng. Appl. Artif. Intell., November, 2023

Recurrent graph optimal transport for learning 3D flow motion in particle tracking.

Jiaming Liang, Chao Xu, Shengze Cai

Nat. Mac. Intell., May, 2023

Accelerated Distributed Aggregative Optimization.

Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu

CoRR, 2023

The Novel Adaptive Fractional Order Gradient Decent Algorithms Design via Robust Control.

Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu

CoRR, 2023

2022

DeepPTV: Particle Tracking Velocimetry for Complex Flow Motion via Deep Neural Networks.

Jiaming Liang, Shengze Cai, Chao Xu, Tehuan Chen, Jian Chu

IEEE Trans. Instrum. Meas., 2022

Computational investigation of blood cell transport in retinal microaneurysms.

He Li, Yixiang Deng, Konstantina Sampani, Shengze Cai, Zhen Li, Jennifer K. Sun, George E. Karniadakis

PLoS Comput. Biol., 2022

GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking.

Jiaming Liang, Chao Xu, Shengze Cai

CoRR, 2022

2021

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations.

Xiaowei Jin, Shengze Cai, Hui Li, George Em Karniadakis

J. Comput. Phys., 2021

DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks.

Shengze Cai, Zhicheng Wang, Lu Lu, Tamer A. Zaki, George Em Karniadakis

J. Comput. Phys., 2021

AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images.

Qian Zhang, Konstantina Sampani, Mengjia Xu, Shengze Cai, Yixiang Deng, He Li, Jennifer K. Sun, George Em Karniadakis

CoRR, 2021

Physics-informed neural networks (PINNs) for fluid mechanics: A review.

Shengze Cai, Zhiping Mao, Zhicheng Wang, Minglang Yin, George Em Karniadakis

CoRR, 2021

2020

Particle Image Velocimetry Based on a Deep Learning Motion Estimator.

Shengze Cai, Jiaming Liang, Qi Gao, Chao Xu, Runjie Wei

IEEE Trans. Instrum. Meas., 2020

2018

Dynamic Illumination Optical Flow Computing for Sensing Multiple Mobile Robots From a Drone.

Shengze Cai, Yongbin Huang, Bo Ye, Chao Xu

IEEE Trans. Syst. Man Cybern. Syst., 2018

Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation.

Shengze Cai, Étienne Mémin, Yin Yang, Chao Xu

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators.

Shengze Cai, Étienne Mémin, Pierre Dérian, Chao Xu

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017