Xiajun Jiang - RankMe

24 papers A* 4Journal 11Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Federated Foundation Model for GI Endoscopy Images. CoRR Alina Devkota, Annahita Amireskandari, Joel Palko, Shyam Thakkar, Donald Adjeroh, Xiajun Jiang, Binod Bhattarai, Prashnna K. Gyawali
2024	A*	`conf`	DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks. ICLR Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang
2024	J	`jnl`	HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology. CoRR Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye, Maryam Toloubidokhti, Ryan Missel, Linwei Wang
2024	J	`jnl`	Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging. IEEE Trans. Medical Imaging Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horácek, John L. Sapp, Linwei Wang
2024	—	`conf`	LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. MICCAI (6) Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, Linwei Wang
2024	J	`jnl`	LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. CoRR Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, Linwei Wang
2024	A*	`conf`	On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution. NeurIPS Yubo Ye, Maryam Toloubidokhti, Sumeet Vadhavkar, Xiajun Jiang, Huafeng Liu, Linwei Wang
2024	J	`jnl`	Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework. CoRR Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang
2023	—	`conf`	A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. MICCAI (7) Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang
2023	A*	`conf`	Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang
2023	J	`jnl`	Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences. IEEE Trans. Medical Imaging Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2023	A*	`conf`	Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. ICLR Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang
2022	—	`conf`	Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning. MICCAI (8) Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang
2022	J	`jnl`	Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning. CoRR Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang
2022	J	`jnl`	Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data. IEEE Trans. Biomed. Eng. Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horácek, John L. Sapp, Linwei Wang
2022	—	`conf`	Neural State-Space Modeling with Latent Causal-Effect Disentanglement. MLMI@MICCAI Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
2022	J	`jnl`	Neural State-Space Modeling with Latent Causal-Effect Disentanglement. CoRR Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
2022	—	`conf`	Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI. CinC Xiajun Jiang, Jess D. Tate, Jake Bergquist, Akil Narayan, Rob S. MacLeod, Linwei Wang
2021	—	`conf`	Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang, Jaume Coll-Font, Jake A. Bergquist, Brian Zenger, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod, Linwei Wang
2021	—	`conf`	Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. MICCAI (6) Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang
2020	—	`conf`	Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. MICCAI (6) Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
2020	J	`jnl`	Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
2017	J	`jnl`	基于尺寸建立个性化人体模型的方法 (Personalized Human Body Modeling Method Based on Measurements). 计算机科学 Yidi Gao, Xiajun Jiang, Huibin Shi
2010	—	`conf`	An XML-Based Data Model for Moving Object Database. FGIT-DTA/BSBT Xiajun Jiang, Yuping Zhang, Dechang Pi