Sui Tang

According to our database, Sui Tang authored at least 23 papers between 2015 and 2024.

Collaborative distances:

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

2024

Learning Transition Operators From Sparse Space-Time Samples.

Christian Kümmerle, Mauro Maggioni, Sui Tang

IEEE Trans. Inf. Theory, September, 2024

On the Identifiability of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds.

Sui Tang, Malik Tuerkoen, Hanming Zhou

SIAM J. Appl. Math., 2024

Random space-time sampling and reconstruction of sparse bandlimited graph diffusion field.

Longxiu Huang, Dongyang Li, Sui Tang, Qing Yao

CoRR, 2024

Convolutional dynamical sampling and some new results.

Longxiu Huang, A. Martina Neuman, Sui Tang, Yuying Xie

CoRR, 2024

2023

Learning particle swarming models from data with Gaussian processes.

Jinchao Feng, Charles Kulick, Yunxiang Ren, Sui Tang

Math. Comput., 2023

Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures.

Jinchao Feng, Charles Kulick, Sui Tang

CoRR, 2023

On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds.

Sui Tang, Malik Tuerkoen, Hanming Zhou

CoRR, 2023

Space-Time Variable Density Samplings for Sparse Bandlimited Graph Signals Driven by Diffusion Operators.

Qing Yao, Longxiu Huang, Sui Tang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Learning Interaction Kernels in Stochastic Systems of Interacting Particles from Multiple Trajectories.

Fei Lu, Mauro Maggioni, Sui Tang

Found. Comput. Math., 2022

An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM.

Yangyi Zhang, Sui Tang, Guo Yu

CoRR, 2022

Higher-Order Error estimates for physics-informed neural networks approximating the primitive equations.

Ruimeng Hu, Quyuan Lin, Alan Raydan, Sui Tang

CoRR, 2022

2021

Learning interaction kernels in heterogeneous systems of agents from multiple trajectories.

Fei Lu, Mauro Maggioni, Sui Tang

J. Mach. Learn. Res., 2021

Robust recovery of bandlimited graph signals via randomized dynamical sampling.

Longxiu Huang, Deanna Needell, Sui Tang

CoRR, 2021

Data-driven discovery of interacting particle systems using Gaussian processes.

Jinchao Feng, Yunxiang Ren, Sui Tang

CoRR, 2021

Estimate the spectrum of affine dynamical systems from partial observations of a single trajectory data.

Jiahui Cheng, Sui Tang

CoRR, 2021

2020

Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems.

Jason Miller, Sui Tang, Ming Zhong, Mauro Maggioni

CoRR, 2020

2018

Nonparametric inference of interaction laws in systems of agents from trajectory data.

Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong

CoRR, 2018

2017

Universal Spatiotemporal Sampling Sets for Discrete Spatially Invariant Evolution Processes.

Sui Tang

IEEE Trans. Inf. Theory, 2017

Universal Spatiotemporal Sampling Sets for Discrete Spatially Invariant Evolution Systems.

Sui Tang

CoRR, 2017

Sensor Calibration for Off-the-Grid Spectral Estimation.

Yonina C. Eldar, Wenjing Liao, Sui Tang

CoRR, 2017

Phaseless Reconstruction from Space-Time Samples.

Akram Aldroubi, Ilya A. Krishtal, Sui Tang

CoRR, 2017

System identification in dynamical sampling.

Sui Tang

Adv. Comput. Math., 2017

2015

A Generalized Prony Method for Filter Recovery in Evolutionary System via Spatiotemporal Trade Off.

Sui Tang

CoRR, 2015