Hi there, I’m Xinrui Jiang, an incoming master’s student in EE at Stanford University. Prior to that, I received my B.Eng degree from Fudan University. During my undergraduate study, I was fortunate to be advised by Professor Zhengzhong Tu at Texas A&M University and Professor Berkin Bilgic at Martinos Center for Biomedical Imaging/Harvard Medical School.

📝 Publications

Preprint
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4KAgent: Agentic Any Image to 4K Super-Resolution

Yushen Zuo, Qi Zheng, Mingyang Wu, Xinrui Jiang, Renjie Li, Jian Wang, Yide Zhang, Gengchen Mai, Lihong V. Wang, James Zou, Xiaoyu Wang, Ming-Hsuan Yang, Zhengzhong Tu

Project Page

  • We present 4KAgent, an agentic image super-resolution generalist designed to universally upscale any image to 4K resolution, regardless of input type, degradation level, or domain.
ISMRM 2024
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NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction

Xinrui Jiang, Yohan Jun, Jaejin Cho, Mengze Gao, Xingwang Yong, Berkin Bilgic

Presentation

  • We purposed NLCG-Net, a model-based and data-driven framework achieved via self-supervised learning, which incorporates nonlinear conjugate gradient optimization and Neural Network Regularization in a iterative manner and achieves zero-shot quantitative MRI reconstruction. T1, T2 mapping results on phantom and in-vivo data demonstrates NLCG-Net’s superiority on estimation quality at high acceleration.