Shikai Fang

According to our database¹, Shikai Fang authored at least 20 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution.

[BibT_eX]

[DOI]

CoRR, May, 2025

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting.

[BibT_eX]

[DOI]

CoRR, May, 2025

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations.

[BibT_eX]

[DOI]

CoRR, May, 2025

Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE.

[BibT_eX]

[DOI]

CoRR, February, 2025

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Diffusion-Generative Multi-Fidelity Learning for Physical Simulation.

[BibT_eX]

[DOI]

CoRR, 2023

BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Streaming Factor Trajectory Learning for Temporal Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Bayesian Continuous-Time Tucker Decomposition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Bayesian streaming sparse Tucker decomposition.

[BibT_eX]

[DOI]

Shikai Fang

Robert M. Kirby

Shandian Zhe

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Streaming Bayesian Deep Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Streaming Probabilistic Deep Tensor Factorization.

[BibT_eX]

[DOI]

CoRR, 2020

Probabilistic Neural-Kernel Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Online Bayesian Sparse Learning with Spike and Slab Priors.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Shikai Fang

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