Publications

You can also find my articles on Google Scholar.

Highlights

• J. Hu, B. Song, X. Xu, L. Shen, J. A. Fessler.
  Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
  Advances in Neural Information Processing Systems, 2024.
• J. Hu★, B. Song★, Z. Luo, J. A. Fessler, L. Shen.
  DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction.
  Advances in Neural Information Processing Systems, 2024.

Journal

• J. Hu, Z. Li, B. Song, L. Shen, J. A. Fessler.
  SPAR: Refining a Single Pretrained Diffusion Model to Solve Inverse Problems in Many Modalities
  IEEE Transactions in Computational Imaging (TCI) (under review), 2025.
• J. Hu, B. Song, J. A. Fessler, L. Shen.
  Test-Time Adaptation Improves Inverse Problem Solving With Patch-Based Diffusion Models
  IEEE Transactions in Computational Imaging (TCI), 2025.
• J. Hu★, Z. Li★, X. Xu, L. Shen, J. A. Fessler.
  Accelerated Wirtinger Flow With Score-Based Image Prior for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions.
  IEEE Transactions in Computational Imaging (TCI), 2024.
• J. Hu, B. T.-W. Lin, J. H. Vega, N. R.-L. Tsiang.
  Predictive Models of Driver Deceleration and Acceleration Responses to Lead Vehicle Cutting in and Out
  Transportation Research Record: Journal of the Transportation Research Record, 2022, pp. 92-102.
• T. Hong, X. Xu, J. Hu, J. A. Fessler.
  Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction
  IEEE Transactions in Computational Imaging (TCI), 2024.
• X. Xu, M. Klasky, M. T. McCann, J. Hu, J. A. Fessler.
  Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
  IEEE Transactions in Computational Imaging (TCI), 2025.
• T. Hong, Z. Xu, J. Hu, J. A. Fessler.
  On Adapting Randomized Nystrom Preconditioners to Accelerate Variational Image Reconstruction
  IEEE Transactions in Computational Imaging (TCI), 2025.
• Z. Li, Y. Jia, X. Xu, J. Hu, J. A. Fessler, Y. Dewaraja.
  Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views
  European Journal of Nuclear Medicine and Molecular Imaging, 2025.

Conference

• J. Hu★, T. Yang★, J. A. Fessler, L. Shen.
  Local Patches Meet Global Context: Scalable 3D Diffusion Priors for Computed Tomography Reconstruction
  Computer Vision and Pattern Recognition (under review), 2026.

• B. Song, Z. Zhang, Z. Luo, J. Hu, W. Yuan, J. Jia, Z. Tang, G. Wang, L. Shen.
  CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
  Advances in Neural Information Processing Systems, 2025.

• H. Yu, J. Hu, M. Jaroszewicz, H. Hussain, V. Gulani, J. A. Fessler, Y. Jiang.
  Patch-Based Diffusion Inverse Solver for T2-Weighted Prostate Imaging Reconstruction
  International Society for Magnetic Resonance in Medicine, 2026.

• Z. Li, X. Xu, J. Hu, J. A. Fessler, Y. Dewaraja.
  Reducing SPECT Acquisition Time by Predicting Missing Projections with Single-Scan Self-Supervised Coordinate-based Learning
  Journal of Nuclear Medicine, 2023, P1014.