Shikai Fang

Orcid: 0009-0006-4527-5878

According to our database¹, Shikai Fang authored at least 28 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation.

[BibT_eX]

[DOI]

CoRR, May, 2026

APEX: Amplitude Anchors and Phase Priors for Target-Scarce Higher-Frequency Wave Prediction.

[BibT_eX]

[DOI]

CoRR, May, 2026

StreamPhy: Streaming Inference of High-Dimensional Physical Dynamics via State Space Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search.

[BibT_eX]

[DOI]

CoRR, March, 2026

When VMP Meets CEP: An Algorithmic Equivalence Under Mild Conditions.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

2025

Less Is More: Generating Time Series with LLaMA-Style Autoregression in Simple Factorized Latent Spaces.

[BibT_eX]

[DOI]

CoRR, November, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2025

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Functional Complexity-adaptive Temporal Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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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Bibliography

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