R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution.
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CoRR, May, 2025
Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting.
CoRR, May, 2025
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations.
CoRR, May, 2025
Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE.
CoRR, February, 2025
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation.
CoRR, 2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition.
CoRR, 2023
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023
Bayesian Continuous-Time Tucker Decomposition.
Proceedings of the International Conference on Machine Learning, 2022
Bayesian streaming sparse Tucker decomposition.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Streaming Bayesian Deep Tensor Factorization.
Proceedings of the 38th International Conference on Machine Learning, 2021
Streaming Probabilistic Deep Tensor Factorization.
CoRR, 2020
Probabilistic Neural-Kernel Tensor Decomposition.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Online Bayesian Sparse Learning with Spike and Slab Priors.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020