Obserwuj
Shikai Fang (方榯楷)
Shikai Fang (方榯楷)
Phd student, school of computing, The University of Utah
Zweryfikowany adres z utah.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Bayesian Streaming Sparse Tucker Decomposition
S Fang, RM Kirby, S Zhe
The 37th Conference on Uncertainty in Artificial Intelligence(UAI), 2021
202021
Streaming Bayesian Deep Tensor Factorization
S Fang, Z Wang, Z Pan, J Liu, S zhe
The Thirty-eighth International Conference on Machine Learning (ICML), 2021, 2021
132021
Provably Convergent Schr\" odinger Bridge with Applications to Probabilistic Time Series Imputation
Y Chen*, W Deng*, S Fang*, F Li*, NT Yang, Y Zhang, K Rasul, S Zhe, ...
The 40th International Conference on Machine Learning (ICML), 2023, 2023
122023
Probabilistic neural-kernel tensor decomposition
C Tillinghast, S Fang, K Zhang, S Zhe
2020 IEEE International Conference on Data Mining (ICDM), 531-540, 2020
92020
Analysis of multivariate scoring functions for automatic unbiased learning to rank
T Yang, S Fang, S Li, Y Wang, Q Ai
Proceedings of the 29th ACM International Conference on Information …, 2020
72020
Shandian Zhe. Probabilistic neural-kernel tensor decomposition
C Tillinghast, S Fang, K Zhang
2020 IEEE International Conference on Data Mining (ICDM), 531-540, 0
5
Bayesian continuous-time Tucker decomposition
S Fang, A Narayan, R Kirby, S Zhe
International Conference on Machine Learning, 6235-6245, 2022
42022
Online bayesian sparse learning with spike and slab priors
S Fang, S Zhe, K Lee, K Zhang, J Neville
2020 IEEE International Conference on Data Mining (ICDM), 142-151, 2020
42020
Multi-omic integration of blood-based tumor-associated genomic and lipidomic profiles using machine learning models in metastatic prostate cancer
S Fang, S Zhe, HM Lin, AA Azad, H Fettke, EM Kwan, L Horvath, B Mak, ...
JCO Clinical Cancer Informatics 7, e2300057, 2023
22023
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor
S Fang, X Yu, Z Wang, S Li, RM Kirby, S Zhe
Proceedings of The International Conference on Learning Representations (ICLR), 2024
2024
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Z Wang, S Fang, S Li, S Zhe
Advances in Neural Information Processing Systems 36, 2024
2024
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
S Fang, X Yu, S Li, Z Wang, M Kirby, S Zhe
Advances in Neural Information Processing Systems 36, 2024
2024
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation
Z Wang, S Li, S Fang, S Zhe
arXiv preprint arXiv:2311.05606, 2023
2023
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
S Fang, M Cooley, D Long, S Li, R Kirby, S Zhe
arXiv preprint arXiv:2311.04465, 2023
2023
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
S Fang, X Yu, Z Wang, S Li, M Kirby, S Zhe
arXiv preprint arXiv:2311.04829, 2023
2023
Physics-Guided Learning of Meteorological Dynamics for Weather Forecasting and Downscaling
Y Luo, S Fang, B Wu, Q Wen, L Sun
2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition
S Fang, Q Wen, S Zhe, L Sun
arXiv:2308.14906, 2023
2023
BAYESIAN TENSOR DECOMPOSITION FOR DYNAMIC DATA
S Fang
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–18