Sui Tang - RankMe

29 papers A* 1Misc 1Journal 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model. CoRR Jinchao Feng, Sui Tang
2025	A*	`conf`	CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. EMNLP Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Mingsong Yan, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Sui Tang, Zheng Zhang
2025	J	`jnl`	Data-driven Learning of Interaction Laws in Multispecies Particle Systems with Gaussian Processes: Convergence Theory and Applications. CoRR Jinchao Feng, Charles Kulick, Sui Tang
2025	J	`jnl`	On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks. CoRR Mingsong Yan, Charles Kulick, Sui Tang
2024	J	`jnl`	Convolutional dynamical sampling and some new results. CoRR Longxiu Huang, A. Martina Neuman, Sui Tang, Yuying Xie
2024	J	`jnl`	Learning Transition Operators From Sparse Space-Time Samples. IEEE Trans. Inf. Theory Christian Kümmerle, Mauro Maggioni, Sui Tang
2024	J	`jnl`	On the Identifiability of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds. SIAM J. Appl. Math. Sui Tang, Malik Tuerkoen, Hanming Zhou
2024	J	`jnl`	Random space-time sampling and reconstruction of sparse bandlimited graph diffusion field. CoRR Longxiu Huang, Dongyang Li, Sui Tang, Qing Yao
2023	J	`jnl`	Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures. CoRR Jinchao Feng, Charles Kulick, Sui Tang
2023	J	`jnl`	Learning particle swarming models from data with Gaussian processes. Math. Comput. Jinchao Feng, Charles Kulick, Yunxiang Ren, Sui Tang
2023	J	`jnl`	On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds. CoRR Sui Tang, Malik Tuerkoen, Hanming Zhou
2023	Misc	`conf`	Space-Time Variable Density Samplings for Sparse Bandlimited Graph Signals Driven by Diffusion Operators. ICASSP Qing Yao, Longxiu Huang, Sui Tang
2022	J	`jnl`	An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM. CoRR Yangyi Zhang, Sui Tang, Guo Yu
2022	J	`jnl`	Higher-Order Error estimates for physics-informed neural networks approximating the primitive equations. CoRR Ruimeng Hu, Quyuan Lin, Alan Raydan, Sui Tang
2022	J	`jnl`	Learning Interaction Kernels in Stochastic Systems of Interacting Particles from Multiple Trajectories. Found. Comput. Math. Fei Lu, Mauro Maggioni, Sui Tang
2022	J	`jnl`	Learning Transition Operators From Sparse Space-Time Samples. CoRR Christian Kümmerle, Mauro Maggioni, Sui Tang
2021	J	`jnl`	Data-driven discovery of interacting particle systems using Gaussian processes. CoRR Jinchao Feng, Yunxiang Ren, Sui Tang
2021	J	`jnl`	Estimate the spectrum of affine dynamical systems from partial observations of a single trajectory data. CoRR Jiahui Cheng, Sui Tang
2021	J	`jnl`	Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. J. Mach. Learn. Res. Fei Lu, Mauro Maggioni, Sui Tang
2021	J	`jnl`	Robust recovery of bandlimited graph signals via randomized dynamical sampling. CoRR Longxiu Huang, Deanna Needell, Sui Tang
2020	J	`jnl`	Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems. CoRR Jason Miller, Sui Tang, Ming Zhong, Mauro Maggioni
2019	J	`jnl`	Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. CoRR Fei Lu, Mauro Maggioni, Sui Tang
2018	J	`jnl`	Nonparametric inference of interaction laws in systems of agents from trajectory data. CoRR Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong
2017	J	`jnl`	Phaseless Reconstruction from Space-Time Samples. CoRR Akram Aldroubi, Ilya A. Krishtal, Sui Tang
2017	J	`jnl`	Sensor Calibration for Off-the-Grid Spectral Estimation. CoRR Yonina C. Eldar, Wenjing Liao, Sui Tang
2017	J	`jnl`	System identification in dynamical sampling. Adv. Comput. Math. Sui Tang
2017	J	`jnl`	Universal Spatiotemporal Sampling Sets for Discrete Spatially Invariant Evolution Processes. IEEE Trans. Inf. Theory Sui Tang
2017	J	`jnl`	Universal Spatiotemporal Sampling Sets for Discrete Spatially Invariant Evolution Systems. CoRR Sui Tang
2015	J	`jnl`	A Generalized Prony Method for Filter Recovery in Evolutionary System via Spatiotemporal Trade Off. CoRR Sui Tang