Publications

Zheng Wang, Shibo Li, Shikai Fang, Shandian Zhe (2024). Diffusion-Generative Multi-Fidelity Learning for Physical Simulation. ( Preprint ).

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Shibo Li, Xin Yu, Wei Xing, Mike Kirby, Akil Narayan, Shandian Zhe (2024). Multi-Resolution Active Learning of Fourier Neural Operators. In The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024) — Oral presentation .

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Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe (2024). Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data. In Twelfth International Conference on Learning Representations (ICLR 2024).

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Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe (2024). Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. In Twelfth International Conference on Learning Representations (ICLR 2024).

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Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe (2023). Streaming Factor Trajectory Learning for Temporal Tensor Decomposition. In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023).

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Zheng Wang, Shikai Fang, Shibo Li, Shandian Zhe (2023). Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes. In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) — Spotlight top 10% .

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Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe (2023). Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks. In The 40th International Conference on Machine Learning (ICML 2023).

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Shibo Li, Li Shi, Shandian Zhe (2023). Infinite-Fidelity Surrogate Learning via High-order Gaussian Processes. In 1st Workshop on the Synergy of Scientific and Machine Learning Modeling @ ICML 2023.

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Shibo Li, Zheng Wang, Akil Narayan, Mike Kirby, Shandian Zhe (2023). Meta-Learning with Adjoint Methods. In The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023).

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Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe (2022). Infinite-Fidelity Coregionalization for Physical Simulation. In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022).

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Shibo Li, Jeff Phillips, Xin Yu, Mike Kirby, Shandian Zhe (2022). Batch Multi-Fidelity Active Learning with Budget Constraints. In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022).

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Shibo Li, Mike Kirby, Shandian Zhe (2022). Decomposing Temporal High-Order Interactions via Latent ODEs. In The 39th International Conference on Machine Learning (ICML 2022).

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Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe (2022). Nonparametric Embeddings of Sparse High-Order Interaction Events. In The 39th International Conference on Machine Learning (ICML 2022).

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Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe (2022). Deep Multi-Fidelity Active Learning of High-Dimensional Outputs . In The 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022).

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Shibo Li, Mike Kirby, Shandian Zhe (2021). Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks. In Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS 2021).

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Shibo Li, Wei Xing, Mike Kirby, Shandian Zhe (2020). Multi-Fidelity Bayesian Optimization via Deep Neural Networks. In Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020).

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Shibo Li, Wei Xing, Mike Kirby, Shandian Zhe (2020). Scalable Variational Gaussian Process Regression Networks. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020).

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Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai (2020). Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. In The 29th ACM International Conference on Information and Knowledge Management ( CIKM 2020 ).

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