| 2025 | ICLR | Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt. | Ryan Missel, Linwei Wang |
| 2025 | MICCAI | Meta-learning Physics-Informed Neural Networks for Personalized Cardiac Modeling. | Maryam Toloubidokhti, Ryan Missel, Shichang Lian, Linwei Wang |
| 2024 | ICLR | DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks. | Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang |
| 2023 | ICLR | Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. | Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang |
| 2023 | ICLR | Continual Unsupervised Disentangling of Self-Organizing Representations. | Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang |
| 2022 | MICCAI | Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning. | Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang |
| 2022 | MICCAI | Neural State-Space Modeling with Latent Causal-Effect Disentanglement. | Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang |
| 2021 | MICCAI | Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. | Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang |