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Shengze Cai
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2020 – today
- 2025
- [j12]Pengkai Wang, Song Chen, Jiaxu Liu, Shengze Cai, Chao Xu:
PIDNODEs: Neural ordinary differential equations inspired by a proportional-integral-derivative controller. Neurocomputing 614: 128769 (2025) - 2024
- [j11]Xiaoyu Liu, Hongtao Lin, Xingli Liu
, Jianghong Qian, Shengze Cai, Hongguang Fan
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: 108896 (2024) - [j10]Shengze Cai
Physics-Informed Neural Networks Enhanced Particle Tracking Velocimetry: An Example for Turbulent Jet Flow. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j9]Song Chen
Neural Observer With Lyapunov Stability Guarantee for Uncertain Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11527-11541 (2024) - [i6]Siming Shan, Pengkai Wang, Song Chen, Jiaxu Liu, Chao Xu, Shengze Cai:
PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction. CoRR abs/2404.08412 (2024) - 2023
- [j8]Qi Gao, Hongtao Lin
A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage. Eng. Appl. Artif. Intell. 126(Part D): 107187 (2023) - [j7]Jiaming Liang
Recurrent graph optimal transport for learning 3D flow motion in particle tracking. Nat. Mac. Intell. 5(5): 505-517 (2023) - [i5]Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu:
The Novel Adaptive Fractional Order Gradient Decent Algorithms Design via Robust Control. CoRR abs/2303.04328 (2023) - [i4]Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu:
Accelerated Distributed Aggregative Optimization. CoRR abs/2304.08051 (2023) - 2022
- [j6]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) - [j5]Jiaming Liang
DeepPTV: Particle Tracking Velocimetry for Complex Flow Motion via Deep Neural Networks. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [i3]Jiaming Liang, Chao Xu, Shengze Cai:
GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking. CoRR abs/2210.17012 (2022) - 2021
- [j4]Xiaowei Jin
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations. J. Comput. Phys. 426: 109951 (2021) - [j3]Shengze Cai, Zhicheng Wang, Lu Lu
DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks. J. Comput. Phys. 436: 110296 (2021) - [i2]Shengze Cai, Zhiping Mao, Zhicheng Wang, Minglang Yin, George Em Karniadakis:
Physics-informed neural networks (PINNs) for fluid mechanics: A review. CoRR abs/2105.09506 (2021) - [i1]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 abs/2106.02800 (2021) - 2020
- [j2]Shengze Cai, Jiaming Liang, Qi Gao, Chao Xu
Particle Image Velocimetry Based on a Deep Learning Motion Estimator. IEEE Trans. Instrum. Meas. 69(6): 3538-3554 (2020)
2010 – 2019
- 2018
- [j1]Shengze Cai
Dynamic Illumination Optical Flow Computing for Sensing Multiple Mobile Robots From a Drone. IEEE Trans. Syst. Man Cybern. Syst. 48(8): 1370-1382 (2018) - [c2]Shengze Cai
Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation. ACC 2018: 3496-3501 - 2017
- [c1]Shengze Cai
Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators. EMMCVPR 2017: 155-171
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