Shengze Cai

According to our database, Shengze Cai authored at least 38 papers between 2017 and 2026.

Collaborative distances:

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

2026

An Intuitive Multi-Task Manipulation Policy for Imitation Learning in Simulated and Real Robots.

Yong Wang, Hua Chen, Chao Xu, Shengze Cai

IEEE Trans. Ind. Electron., July, 2026

BadmintonGRF: A Multimodal Dataset and Benchmark for Markerless Ground Reaction Force Estimation in Badminton.

Kuoye Niu, Jianwei Li, Shengze Cai, Yong Ma, Mengyao Jia, Lishun Shen, Zhenheng Zhang, Yuxin Peng, Xian Song

CoRR, May, 2026

GOTrack+: A Deep Learning Framework With Graph Optimal Transport for Particle Tracking Velocimetry.

Zhi Wang, Zixuan Wang, Chao Xu, Shengze Cai

IEEE Trans. Circuits Syst. Video Technol., February, 2026

Distributed physics-informed neural networks via domain decomposition for fast flow reconstruction.

Yixiao Qian, Jiaxu Liu, Zewei Xia, Song Chen, Chao Xu, Shengze Cai

CoRR, February, 2026

Distributed Online Constrained Convex Optimization With Compressed Communication.

Jiaxu Liu, Pengkai Wang, Yixiao Qian, Song Chen, Jinming Xu, Shengze Cai, Chao Xu

IEEE Trans. Netw. Sci. Eng., 2026

Distributed optimization algorithm design and analysis on cooperation-competition network based on PID control.

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

J. Frankl. Inst., 2026

Accelerated Decentralized Federated Learning on Heterogeneous Data.

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

IEEE Internet Things J., 2026

2025

An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding.

Pengwei Liu, Xingyu Ren, Pengkai Wang, Hangjie Yuan, Zhongkai Hao, Guanyu Chen, Chao Xu, Dong Ni, Shengze Cai

CoRR, December, 2025

Accelerated Distributed Aggregative Optimization.

Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu, Jian Chu

IEEE Trans. Autom. Control., September, 2025

Output Feedback-Based Continuous-Time Distributed PID Optimization Algorithms.

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

IEEE Trans. Netw. Sci. Eng., 2025

A Lightweight Deep Optical Flow Network With Soft Threshold for Particle Image Velocimetry.

Zhi Wang, Tehuan Chen, Chao Xu, Shengze Cai

IEEE Trans. Instrum. Meas., 2025

3-D Particle Reconstruction for Flow Motion Estimation via Multiscale Pyramid Network.

Jiahao Lv, Zhi Wang, Tehuan Chen, Shengze Cai, Chao Xu

IEEE Trans. Instrum. Meas., 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

Integrating neural networks with numerical schemes for dynamical systems: A review.

Jinsong Tang, Yunjin Tong, Lihua Chen, Shengze Cai, Shiying Xiong

Neurocomputing, 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

Eng. Appl. Artif. Intell., 2025

GLIP-NOT: A Novel Global-Local Integrated Planner for Nonsliding Nonprehensile Object Transportation.

Yong Wang, Chao Xu, Shengze Cai

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

Sparse Self-attention-Guided Network for Multispectral Object Detection.

Haidong Xiao, Zhigang Ren, Shengze Cai

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

HMNet: High-Resolution Mamba Network for Semantic Segmentation of Surface Defects.

Haidong Xiao, Zhigang Ren, Shengze Cai

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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