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Shengze Cai
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 19
Top Topics
Optical Flow
Lyapunov Stability
Neural Network
Deep Learning
Top Venues
CoRR
IEEE Trans. Instrum. Meas.
J. Comput. Phys.
Eng. Appl. Artif. Intell.
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Publications
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Siming Shan
,
Pengkai Wang
,
Song Chen
,
Jiaxu Liu
,
Chao Xu
,
Shengze Cai
PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction.
CoRR
(2024)
Song Chen
,
Shengze Cai
,
Tehuan Chen
,
Chao Xu
,
Jian Chu
Neural Observer With Lyapunov Stability Guarantee for Uncertain Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst.
35 (8) (2024)
Shengze Cai
,
Callum Gray
,
George Em Karniadakis
Physics-Informed Neural Networks Enhanced Particle Tracking Velocimetry: An Example for Turbulent Jet Flow.
IEEE Trans. Instrum. Meas.
73 (2024)
Xiaoyu Liu
,
Hongtao Lin
,
Xingli Liu
,
Jianghong Qian
,
Shengze Cai
,
Hongguang Fan
,
Qi Gao
LAFlowNet: A dynamic graph method for the prediction of velocity and pressure fields in left atrium and left atrial appendage.
Eng. Appl. Artif. Intell.
136 (2024)
Qi Gao
,
Hongtao Lin
,
Jianghong Qian
,
Xingli Liu
,
Shengze Cai
,
He Li
,
Hongguang Fan
,
Zhe Zheng
A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage.
Eng. Appl. Artif. Intell.
126 (Part D) (2023)
Jiaming Liang
,
Chao Xu
,
Shengze Cai
Recurrent graph optimal transport for learning 3D flow motion in particle tracking.
Nat. Mac. Intell.
5 (5) (2023)
Jiaxu Liu
,
Song Chen
,
Shengze Cai
,
Chao Xu
The Novel Adaptive Fractional Order Gradient Decent Algorithms Design via Robust Control.
CoRR
(2023)
Jiaxu Liu
,
Song Chen
,
Shengze Cai
,
Chao Xu
Accelerated Distributed Aggregative Optimization.
CoRR
(2023)
He Li
,
Yixiang Deng
,
Konstantina Sampani
,
Shengze Cai
,
Zhen Li
,
Jennifer K. Sun
,
George E. Karniadakis
Computational investigation of blood cell transport in retinal microaneurysms.
PLoS Comput. Biol.
18 (1) (2022)
Jiaming Liang
,
Shengze Cai
,
Chao Xu
,
Tehuan Chen
,
Jian Chu
DeepPTV: Particle Tracking Velocimetry for Complex Flow Motion via Deep Neural Networks.
IEEE Trans. Instrum. Meas.
71 (2022)
Jiaming Liang
,
Chao Xu
,
Shengze Cai
GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking.
CoRR
(2022)
Shengze Cai
,
Zhicheng Wang
,
Lu Lu
,
Tamer A. Zaki
,
George Em Karniadakis
DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks.
J. Comput. Phys.
436 (2021)
Qian Zhang
,
Konstantina Sampani
,
Mengjia Xu
,
Shengze Cai
,
Yixiang Deng
,
He Li
,
Jennifer K. Sun
,
George Em Karniadakis
AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images.
CoRR
(2021)
Shengze Cai
,
Zhiping Mao
,
Zhicheng Wang
,
Minglang Yin
,
George Em Karniadakis
Physics-informed neural networks (PINNs) for fluid mechanics: A review.
CoRR
(2021)
Xiaowei Jin
,
Shengze Cai
,
Hui Li
,
George Em Karniadakis
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations.
J. Comput. Phys.
426 (2021)
Shengze Cai
,
Jiaming Liang
,
Qi Gao
,
Chao Xu
,
Runjie Wei
Particle Image Velocimetry Based on a Deep Learning Motion Estimator.
IEEE Trans. Instrum. Meas.
69 (6) (2020)
Shengze Cai
,
Yongbin Huang
,
Bo Ye
,
Chao Xu
Dynamic Illumination Optical Flow Computing for Sensing Multiple Mobile Robots From a Drone.
IEEE Trans. Syst. Man Cybern. Syst.
48 (8) (2018)
Shengze Cai
,
Étienne Mémin
,
Yin Yang
,
Chao Xu
Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation.
ACC
(2018)
Shengze Cai
,
Étienne Mémin
,
Pierre Dérian
,
Chao Xu
Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators.
EMMCVPR
(2017)