Shengze Cai - RankMe

36 papers A* 1C 2Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated Decentralized Federated Learning on Heterogeneous Data. IEEE Internet Things J. Jiaxu Liu, Yixiao Qian, Pengkai Wang, Song Chen, Shengze Cai, Chao Xu
2026	J	`jnl`	Distributed Online Constrained Convex Optimization With Compressed Communication. IEEE Trans. Netw. Sci. Eng. Jiaxu Liu, Pengkai Wang, Yixiao Qian, Song Chen, Jinming Xu, Shengze Cai, Chao Xu
2026	J	`jnl`	Distributed optimization algorithm design and analysis on cooperation-competition network based on PID control. J. Frankl. Inst. Jiaxu Liu, Pengkai Wang, Song Chen, Shengze Cai, Chao Xu
2026	J	`jnl`	Distributed physics-informed neural networks via domain decomposition for fast flow reconstruction. CoRR Yixiao Qian, Jiaxu Liu, Zewei Xia, Song Chen, Chao Xu, Shengze Cai
2026	J	`jnl`	GOTrack+: A Deep Learning Framework With Graph Optimal Transport for Particle Tracking Velocimetry. IEEE Trans. Circuits Syst. Video Technol. Zhi Wang, Zixuan Wang, Chao Xu, Shengze Cai
2025	J	`jnl`	3-D Particle Reconstruction for Flow Motion Estimation via Multiscale Pyramid Network. IEEE Trans. Instrum. Meas. Jiahao Lv, Zhi Wang, Tehuan Chen, Shengze Cai, Chao Xu
2025	J	`jnl`	A Lightweight Deep Optical Flow Network With Soft Threshold for Particle Image Velocimetry. IEEE Trans. Instrum. Meas. Zhi Wang, Tehuan Chen, Chao Xu, Shengze Cai
2025	J	`jnl`	Accelerated Distributed Aggregative Optimization. IEEE Trans. Autom. Control. Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu, Jian Chu
2025	A*	`conf`	AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries. AAAI Pengwei Liu, Pengkai Wang, Xingyu Ren, Hangjie Yuan, Zhongkai Hao, Chao Xu, Shengze Cai, Dong Ni
2025	J	`jnl`	An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding. CoRR Pengwei Liu, Xingyu Ren, Pengkai Wang, Hangjie Yuan, Zhongkai Hao, Guanyu Chen, Chao Xu, Dong Ni, Shengze Cai
2025	J	`jnl`	CorNet: A deep learning method based on physics-guided and attention mechanism for predicting flow field of coronary arterial tree. Eng. Appl. Artif. Intell. Xiaoyu Liu, Shengze Cai, Hongtao Lin, Xingli Liu, Xiuhua Hu, Longjiang Zhang, Qi Gao
2025	—	`conf`	GLIP-NOT: A Novel Global-Local Integrated Planner for Nonsliding Nonprehensile Object Transportation. ROBIO Yong Wang, Chao Xu, Shengze Cai
2025	C	`conf`	HMNet: High-Resolution Mamba Network for Semantic Segmentation of Surface Defects. CSCWD Haidong Xiao, Zhigang Ren, Shengze Cai
2025	J	`jnl`	Integrating neural networks with numerical schemes for dynamical systems: A review. Neurocomputing Jinsong Tang, Yunjin Tong, Lihua Chen, Shengze Cai, Shiying Xiong
2025	J	`jnl`	Output Feedback-Based Continuous-Time Distributed PID Optimization Algorithms. IEEE Trans. Netw. Sci. Eng. Jiaxu Liu, Song Chen, Pengkai Wang, Shengze Cai, Chao Xu, Jian Chu
2025	J	`jnl`	PIDNODEs: Neural ordinary differential equations inspired by a proportional-integral-derivative controller. Neurocomputing Pengkai Wang, Song Chen, Jiaxu Liu, Shengze Cai, Chao Xu
2025	—	`conf`	Sparse Self-attention-Guided Network for Multispectral Object Detection. PRCV (17) Haidong Xiao, Zhigang Ren, Shengze Cai
2024	J	`jnl`	LAFlowNet: A dynamic graph method for the prediction of velocity and pressure fields in left atrium and left atrial appendage. Eng. Appl. Artif. Intell. Xiaoyu Liu, Hongtao Lin, Xingli Liu, Jianghong Qian, Shengze Cai, Hongguang Fan, Qi Gao
2024	J	`jnl`	Neural Observer With Lyapunov Stability Guarantee for Uncertain Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. Song Chen, Shengze Cai, Tehuan Chen, Chao Xu, Jian Chu
2024	J	`jnl`	Physics-Informed Neural Networks Enhanced Particle Tracking Velocimetry: An Example for Turbulent Jet Flow. IEEE Trans. Instrum. Meas. Shengze Cai, Callum Gray, George Em Karniadakis
2024	J	`jnl`	PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction. CoRR Siming Shan, Pengkai Wang, Song Chen, Jiaxu Liu, Chao Xu, Shengze Cai
2023	J	`jnl`	A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage. Eng. Appl. Artif. Intell. Qi Gao, Hongtao Lin, Jianghong Qian, Xingli Liu, Shengze Cai, He Li, Hongguang Fan, Zhe Zheng
2023	J	`jnl`	Accelerated Distributed Aggregative Optimization. CoRR Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu
2023	J	`jnl`	Recurrent graph optimal transport for learning 3D flow motion in particle tracking. Nat. Mac. Intell. Jiaming Liang, Chao Xu, Shengze Cai
2023	J	`jnl`	The Novel Adaptive Fractional Order Gradient Decent Algorithms Design via Robust Control. CoRR Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu
2022	J	`jnl`	Computational investigation of blood cell transport in retinal microaneurysms. PLoS Comput. Biol. He Li, Yixiang Deng, Konstantina Sampani, Shengze Cai, Zhen Li, Jennifer K. Sun, George E. Karniadakis
2022	J	`jnl`	DeepPTV: Particle Tracking Velocimetry for Complex Flow Motion via Deep Neural Networks. IEEE Trans. Instrum. Meas. Jiaming Liang, Shengze Cai, Chao Xu, Tehuan Chen, Jian Chu
2022	J	`jnl`	GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking. CoRR Jiaming Liang, Chao Xu, Shengze Cai
2021	J	`jnl`	AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images. CoRR Qian Zhang, Konstantina Sampani, Mengjia Xu, Shengze Cai, Yixiang Deng, He Li, Jennifer K. Sun, George Em Karniadakis
2021	J	`jnl`	DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks. J. Comput. Phys. Shengze Cai, Zhicheng Wang, Lu Lu, Tamer A. Zaki, George Em Karniadakis
2021	J	`jnl`	NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations. J. Comput. Phys. Xiaowei Jin, Shengze Cai, Hui Li, George Em Karniadakis
2021	J	`jnl`	Physics-informed neural networks (PINNs) for fluid mechanics: A review. CoRR Shengze Cai, Zhiping Mao, Zhicheng Wang, Minglang Yin, George Em Karniadakis
2020	J	`jnl`	Particle Image Velocimetry Based on a Deep Learning Motion Estimator. IEEE Trans. Instrum. Meas. Shengze Cai, Jiaming Liang, Qi Gao, Chao Xu, Runjie Wei
2018	J	`jnl`	Dynamic Illumination Optical Flow Computing for Sensing Multiple Mobile Robots From a Drone. IEEE Trans. Syst. Man Cybern. Syst. Shengze Cai, Yongbin Huang, Bo Ye, Chao Xu
2018	C	`conf`	Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation. ACC Shengze Cai, Étienne Mémin, Yin Yang, Chao Xu
2017	—	`conf`	Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators. EMMCVPR Shengze Cai, Étienne Mémin, Pierre Dérian, Chao Xu