I'm a Ph.D. student of the Department of Computer Science at Rutgers University, advised by Prof. Dimitris N. Metaxas. My research interests lie in image reconstruction, image generation, medical image analysis, and computer vision. Previously, I received my master's degree from Tsinghua University in 2020 and my bachelor's degree from Wuhan University in 2017.
Contact: bx64@rutgers.edu
Office: CBIM, 617 Bowser Rd, Piscataway, NJ 08854
Publications
Efficient and Effective Control Adapters for Diffusion Plug-and-Play models: A DWI Application
Bingyu Xin*, Radu Miron*, Mahmoud Mostapha, Nirmal Janardhanan, Omar Darwish, Till Huelnhagen, Tobias Wuerfl, David Grodzki, Rainer Schneider, Mariappan S. Nadar
Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2025
Enhanced Deep Unrolled Models Applied to the CMRxRecon2024 Challenge
Bingyu Xin, Meng Ye, Leon Axel, and Dimitris N. Metaxas
Statistical Atlases and Computational Models of the Heart (STACOM@MICCAI), 2024 (CMRxRecon Challenge Winner)
Code · News
Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction
Bingyu Xin, Meng Ye, Leon Axel, and Dimitris N. Metaxas
European Conference on Computer Vision (ECCV), 2024 (Oral)
Paper · Code
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction
Bingyu Xin, Meng Ye, Leon Axel, and Dimitris N. Metaxas
Statistical Atlases and Computational Models of the Heart (STACOM@MICCAI), 2023 (CMRxRecon Challenge Winner)
Paper · Code · News
Learned Half-Quadratic Splitting Network for MR Image Reconstruction
Bingyu Xin, Timothy Phan, Leon Axel, and Dimitris Metaxas
International Conference on Medical Imaging with Deep Learning (MIDL), 2022
Paper · Code
Multi-modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis
Bingyu Xin, Yifan Hu, Yefeng Zheng, and Hongen Liao
IEEE International Symposium on Biomedical Imaging (ISBI), 2020
Paper · Code