Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators. - Shengze Cai; Étienne Mémin; Pierre Dérian; Chao Xu 001 (EMMCVPR, 2017)

Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation. - Shengze Cai; Étienne Mémin; Yin Yang; Chao Xu 001 (ACC, 2018)

Dynamic Illumination Optical Flow Computing for Sensing Multiple Mobile Robots From a Drone. - Shengze Cai; Yongbin Huang; Bo Ye; Chao Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Particle Image Velocimetry Based on a Deep Learning Motion Estimator. - Shengze Cai; Jiaming Liang; Qi Gao 007; Chao Xu 001; Runjie Wei (IEEE Trans. Instrum. Meas., 2020)

Physics-informed neural networks (PINNs) for fluid mechanics: A review. - Shengze Cai; Zhiping Mao; Zhicheng Wang; Minglang Yin; George Em Karniadakis (CoRR, 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)

DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks. - Shengze Cai; Zhicheng Wang; Lu Lu 010; Tamer A. Zaki; George Em Karniadakis (J. Comput. Phys., 2021)

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations. - Xiaowei Jin; Shengze Cai; Hui Li 035; George Em Karniadakis (J. Comput. Phys., 2021)

GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking. - Jiaming Liang; Chao Xu 001; Shengze Cai (CoRR, 2022)

Computational investigation of blood cell transport in retinal microaneurysms. - He Li; Yixiang Deng; Konstantina Sampani; Shengze Cai; Zhen Li 003; Jennifer K. Sun; George E. Karniadakis (PLoS Comput. Biol., 2022)

DeepPTV: Particle Tracking Velocimetry for Complex Flow Motion via Deep Neural Networks. - Jiaming Liang; Shengze Cai; Chao Xu 001; Tehuan Chen; Jian Chu (IEEE Trans. Instrum. Meas., 2022)

The Novel Adaptive Fractional Order Gradient Decent Algorithms Design via Robust Control. - Jiaxu Liu; Song Chen; Shengze Cai; Chao Xu (CoRR, 2023)

Accelerated Distributed Aggregative Optimization. - Jiaxu Liu; Song Chen; Shengze Cai; Chao Xu (CoRR, 2023)

Recurrent graph optimal transport for learning 3D flow motion in particle tracking. - Jiaming Liang; Chao Xu 001; Shengze Cai (Nat. Mac. Intell., 2023)

A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage. - Qi Gao 007; Hongtao Lin; Jianghong Qian; Xingli Liu; Shengze Cai; He Li; Hongguang Fan; Zhe Zheng (Eng. Appl. Artif. Intell., 2023)

PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction. - Siming Shan; Pengkai Wang; Song Chen; Jiaxu Liu; Chao Xu 001; Shengze Cai (CoRR, 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 007 (Eng. Appl. Artif. Intell., 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)

Neural Observer With Lyapunov Stability Guarantee for Uncertain Nonlinear Systems. - Song Chen; Shengze Cai; Tehuan Chen; Chao Xu 001; Jian Chu (IEEE Trans. Neural Networks Learn. Syst., 2024)

AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries. - Pengwei Liu; Pengkai Wang; Xingyu Ren; Hangjie Yuan; Zhongkai Hao; Chao Xu; Shengze Cai; Dong Ni 002 (AAAI, 2025)

HMNet: High-Resolution Mamba Network for Semantic Segmentation of Surface Defects. - Haidong Xiao; Zhigang Ren; Shengze Cai (CSCWD, 2025)

CorNet: A deep learning method based on physics-guided and attention mechanism for predicting flow field of coronary arterial tree. - Xiaoyu Liu; Shengze Cai; Hongtao Lin; Xingli Liu; Xiuhua Hu; Longjiang Zhang; Qi Gao 007 (Eng. Appl. Artif. Intell., 2025)

Integrating neural networks with numerical schemes for dynamical systems: A review. - Jinsong Tang; Yunjin Tong; Lihua Chen; Shengze Cai; Shiying Xiong (Neurocomputing, 2025)

PIDNODEs: Neural ordinary differential equations inspired by a proportional-integral-derivative controller. - Pengkai Wang; Song Chen; Jiaxu Liu; Shengze Cai; Chao Xu 001 (Neurocomputing, 2025)

3-D Particle Reconstruction for Flow Motion Estimation via Multiscale Pyramid Network. - Jiahao Lv 002; Zhi Wang 026; Tehuan Chen; Shengze Cai; Chao Xu 001 (IEEE Trans. Instrum. Meas., 2025)

A Lightweight Deep Optical Flow Network With Soft Threshold for Particle Image Velocimetry. - Zhi Wang 026; Tehuan Chen; Chao Xu 001; Shengze Cai (IEEE Trans. Instrum. Meas., 2025)

Output Feedback-Based Continuous-Time Distributed PID Optimization Algorithms. - Jiaxu Liu; Song Chen; Pengkai Wang; Shengze Cai; Chao Xu 001; Jian Chu (IEEE Trans. Netw. Sci. Eng., 2025)

Accelerated Distributed Aggregative Optimization. - Jiaxu Liu; Song Chen; Shengze Cai; Chao Xu 001; Jian Chu (IEEE Trans. Autom. Control., 2025)