Xin T. Tong - RankMe

39 papers A* 2Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Estimate of Koopman Modes and Eigenvalues with Kalman Filter. SIAM J. Sci. Comput. Ningxin Liu, Shuigen Liu, Xin T. Tong, Lijian Jiang
2026	J	`jnl`	Latent Autoencoder Ensemble Kalman Filter for Data assimilation. CoRR Xin T. Tong, Yanyan Wang, Liang Yan
2025	A*	`conf`	Demystifying the Token Dynamics of Deep Selective State Space Models. ICLR Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan Minh Nguyen
2025	J	`jnl`	Dropout Ensemble Kalman Inversion for High Dimensional Inverse Problems. SIAM J. Numer. Anal. Shuigen Liu, Sebastian Reich, Xin T. Tong
2025	J	`jnl`	Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding. CoRR Duy-Tung Pham, An Nguyen The, Viet-Hoang Tran, Nhan-Phu Chung, Xin T. Tong, Tan M. Nguyen, Thieu N. Vo
2025	—	`conf`	Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling. KDD (2) Bihan Xu, Shiwei Zhao, Runze Wu, Zhenya Huang, Jiawei Wang, Zhipeng Hu, Kai Wang, Haoyu Liu, Tangjie Lv, Le Li, Changjie Fan, Xin T. Tong, Jiangze Han
2025	J	`jnl`	Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling. CoRR Bihan Xu, Shiwei Zhao, Runze Wu, Zhenya Huang, Jiawei Wang, Zhipeng Hu, Kai Wang, Haoyu Liu, Tangjie Lv, Le Li, Changjie Fan, Xin T. Tong, Jiangze Han
2025	J	`jnl`	Local MALA-within-Gibbs for Bayesian Image Deblurring with Total Variation Prior. SIAM J. Sci. Comput. Rafael Flock, Shuigen Liu, Yiqiu Dong, Xin T. Tong
2025	J	`jnl`	Localized Diffusion Models for High Dimensional Distributions Generation. CoRR Georg A. Gottwald, Shuigen Liu, Youssef Marzouk, Sebastian Reich, Xin T. Tong
2025	J	`jnl`	Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces. CoRR Yang Lyu, Yuchun Qian, Tan Minh Nguyen, Xin T. Tong
2024	J	`jnl`	Demystifying the Token Dynamics of Deep Selective State Space Models. CoRR Thieu N. Vo, Tung D. Pham, Xin T. Tong, Tan Minh Nguyen
2024	J	`jnl`	Estimate of Koopman modes and eigenvalues with Kalman Filter. CoRR Ningxin Liu, Shuigen Liu, Xin T. Tong, Lijian Jiang
2024	J	`jnl`	Local MALA-within-Gibbs for Bayesian image deblurring with total variation prior. CoRR Rafael Flock, Shuigen Liu, Yiqiu Dong, Xin T. Tong
2024	J	`jnl`	Stochastic Gradient Descent with Adaptive Data. CoRR Ethan Che, Jing Dong, Xin T. Tong
2024	J	`jnl`	The Ensemble Kalman Filter for Dynamic Inverse Problems. CoRR Simon Weissmann, Neil K. Chada, Xin T. Tong
2024	—	`conf`	The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. WWW (Companion Volume) Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao
2024	J	`jnl`	Wasserstein gradient flow for optimal probability measure decomposition. CoRR Jiangze Han, Christopher Thomas Ryan, Xin T. Tong
2023	J	`jnl`	Dropout Ensemble Kalman inversion for high dimensional inverse problems. CoRR Shuigen Liu, Sebastian Reich, Xin T. Tong
2022	J	`jnl`	Can We Do Better Than Random Start? The Power of Data Outsourcing. CoRR Yi Chen, Jing Dong, Xin T. Tong
2022	J	`jnl`	Convergence acceleration of ensemble Kalman inversion in nonlinear settings. Math. Comput. Neil K. Chada, Xin T. Tong
2022	J	`jnl`	Localization in Ensemble Kalman inversion. CoRR Xin T. Tong, Matthias Morzfeld
2022	A*	`conf`	Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent. NeurIPS Ruqi Zhang, Qiang Liu, Xin T. Tong
2022	J	`jnl`	Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent. CoRR Ruqi Zhang, Qiang Liu, Xin T. Tong
2022	J	`jnl`	Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning. CoRR Jing Dong, Xin T. Tong
2021	J	`jnl`	Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion. CoRR Simon Weissmann, Neil K. Chada, Claudia Schillings, Xin T. Tong
2021	J	`jnl`	Replica Exchange for Non-Convex Optimization. J. Mach. Learn. Res. Jing Dong, Xin T. Tong
2020	J	`jnl`	Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations. Stat. Comput. Qiang Liu, Xin T. Tong
2020	J	`jnl`	Consistency analysis of bilevel data-driven learning in inverse problems. CoRR Neil K. Chada, Claudia Schillings, Xin T. Tong, Simon Weissmann
2020	J	`jnl`	Dimension Independent Generalization Error with Regularized Online Optimization. CoRR Xi Chen, Qiang Liu, Xin T. Tong
2020	J	`jnl`	MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure. SIAM J. Sci. Comput. Xin T. Tong, Matthias Morzfeld, Youssef M. Marzouk
2020	J	`jnl`	On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics. J. Mach. Learn. Res. Xi Chen, Simon S. Du, Xin T. Tong
2020	J	`jnl`	Tikhonov Regularization within Ensemble Kalman Inversion. SIAM J. Numer. Anal. Neil K. Chada, Andrew M. Stuart, Xin T. Tong
2019	J	`jnl`	Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings. CoRR Neil K. Chada, Xin T. Tong
2019	J	`jnl`	Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis. CoRR Xi Chen, Simon S. Du, Xin T. Tong
2019	J	`jnl`	Localization for MCMC: sampling high-dimensional posterior distributions with local structure. J. Comput. Phys. Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk
2018	J	`jnl`	Performance Analysis of Local Ensemble Kalman Filter. J. Nonlinear Sci. Xin T. Tong
2018	J	`jnl`	Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions. SIAM/ASA J. Uncertain. Quantification Nan Chen, Andrew J. Majda, Xin T. Tong
2016	J	`jnl`	Ergodicity of Truncated Stochastic Navier Stokes with Deterministic Forcing and Dispersion. J. Nonlinear Sci. Andrew J. Majda, Xin T. Tong
2015	J	`jnl`	Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows. J. Nonlinear Sci. Nan Chen, Andrew J. Majda, Xin T. Tong