Fang, Shikai

12 publications

NeurIPS 2025 Functional Complexity-Adaptive Temporal Tensor Decomposition Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang

NeurIPS 2025 Generating Full-Field Evolution of Physical Dynamics from Irregular Sparse Observations Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang

ICLR 2025 MarS: A Financial Market Simulation Engine Powered by Generative Foundation Model Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

ICML 2024 BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun

ICLR 2024 Functional Bayesian Tucker Decomposition for Continuous-Indexed Tensor Data Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe

ICLR 2024 Solving High Frequency and Multi-Scale PDEs with Gaussian Processes Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe

NeurIPS 2023 Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes Zheng Wang, Shikai Fang, Shibo Li, Shandian Zhe

ICML 2023 Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka

NeurIPS 2023 Streaming Factor Trajectory Learning for Temporal Tensor Decomposition Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe

ICML 2022 Bayesian Continuous-Time Tucker Decomposition Shikai Fang, Akil Narayan, Robert Kirby, Shandian Zhe

UAI 2021 Bayesian Streaming Sparse Tucker Decomposition Shikai Fang, Robert M. Kirby, Shandian Zhe

ICML 2021 Streaming Bayesian Deep Tensor Factorization Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe