Shijun Liang

According to our database, Shijun Liang authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Robust Physics-Based Deep MRI Reconstruction via Diffusion Purification.

Ismail R. Alkhouri, Shijun Liang, Rongrong Wang, Qing Qu, Saiprasad Ravishankar

IEEE Trans. Neural Networks Learn. Syst., May, 2026

DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion.

Yongji Long, Shijun Liang, Jintao Li, Yun Li

CoRR, April, 2026

Understanding Untrained Deep Models for Inverse Problems [From the Guest Editors]: Algorithms and theory.

Ismail Alkhouri, Evan Bell, Avrajit Ghosh, Shijun Liang, Rongrong Wang, Saiprasad Ravishankar

IEEE Signal Process. Mag., March, 2026

2025

Robust MRI Reconstruction by Smoothed Unrolling (SMUG).

Shijun Liang, Van Hoang Minh Nguyen, Jinghan Jia, Ismail R. Alkhouri, Sijia Liu, Saiprasad Ravishankar

IEEE J. Sel. Top. Signal Process., October, 2025

Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction.

Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar

IEEE Trans. Computational Imaging, 2025

UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights.

Shijun Liang, Ismail Alkhouri, Siddhant Gautam, Qing Qu, Saiprasad Ravishankar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems.

Ismail Alkhouri, Shijun Liang, Cheng-Han Huang, Jimmy Dai, Qing Qu, Saiprasad Ravishankar, Rongrong Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Sequential Diffusion-Guided Deep Image Prior for Medical Image Reconstruction.

Shijun Liang, Ismail Alkhouri, Qing Qu, Rongrong Wang, Saiprasad Ravishankar

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Network-Regularized Diffusion Sampling For 3D Computed Tomography.

Shijun Liang, Ismail Alkhouri, Qing Qu, Rongrong Wang, Saiprasad Ravishankar

Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction.

Evan Bell, Shijun Liang, Ismail Alkhouri, Saiprasad Ravishankar

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data.

Shijun Liang, Anish Lahiri, Saiprasad Ravishankar

IEEE Trans. Computational Imaging, 2024

Image Reconstruction Via Autoencoding Sequential Deep Image Prior.

Ismail Alkhouri, Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Controllable Universal Edge-Preserving Image Filtering.

Shijun Liang, Dongdong Fu

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction.

Ismail Alkhouri, Shijun Liang, Rongrong Wang, Qing Qu, Saiprasad Ravishankar

Proceedings of the IEEE International Conference on Acoustics, 2024

Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization.

Shijun Liang, Evan Bell, Avrajit Ghosh, Saiprasad Ravishankar

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling.

Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Self-Guided Deep Image Prior.

Evan Bell, Shijun Liang, Qing Qu, Saiprasad Ravishankar

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data.

Shijun Liang, Ashwin Sreevatsa, Anish Lahiri, Saiprasad Ravishankar

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Labmat: Learned Feature-Domain Block Matching For Image Restoration.

Shijun Liang, Berk Iskender, Bihan Wen, Saiprasad Ravishankar

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021