| 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 |
| 2024 | MICCAI | LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. | Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, 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 |
| 2023 | MICCAI | A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. | Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, 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 |
| 2020 | MICCAI | Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. | Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang |